Policies_Plans
sequence | lang
dict | Target
sequence | Alpha3
stringlengths 3
3
| Country
stringlengths 4
41
| Mitigation
sequence | IkiInfo
sequence | Source
sequence | Adaptation
sequence | sentence
stringlengths 53
695
| context
stringlengths 53
3.41k
| Action
sequence | Document
sequence | ResponseText
sequence | CWInfo
list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
0,
9
] | {
"label": "en-US",
"score": 0.9999351501
} | [
0,
9
] | MDA | Moldova | [
0,
9
] | [
[
null,
null
],
[
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
9,
0
] | Scale up the capacity to prepare and respond to disaster through increased access to mechanisms that enable early action, alongside climate risk insurance and other social safety nets. -. Promote insurance coverage against damaging events to agricultural producers. Community-. level climate change adaptation. Promote resilient development of urban communities. -. | Scale up the capacity to prepare and respond to disaster through increased access to mechanisms that enable early action, alongside climate risk insurance and other social safety nets. -. Promote insurance coverage against damaging events to agricultural producers. Community-. level climate change adaptation. Promote resilient development of urban communities. -. -. Address the capacity gaps and weaknesses in coverage of urban issues within the NAP process. Communicate urban adaptation component as part of the NAP. | [
2,
7
] | [
"Revised First NDC"
] | [
"Cross-sectorial priorities: Integrated disaster risk management: \"Improve Disaster Risk Reduction management\" (31) \"including through increased access to mechanisms that enable early action, alongside climate risk insurance and other social safety nets\" as well promotion of \"insurance coverage against damaging events to agricultural producers\" (31)",
"Helping small scale producers manage risks from increased variability and climate shocks"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster Risk Management (DRM): General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Social Development",
"SubSector": "Safety net"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Land and soil management"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Landscape management"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_3",
"QuestionDefinition": "GCA_Subsector_3",
"QuestionText": "Adapt Now subsector (3)",
"Sector": "LULUCF/Forestry",
"SubSector": "Afforestation"
}
]
] |
[
2,
1
] | {
"label": "en-US",
"score": 0.9999016523
} | [
1,
2
] | GHA | Ghana | [
3,
0
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
3
] | Scale-up renewable energy penetration by 10% by 2030. Mitigation. Sustainable Energy Transition. 18,700. 2,296.9. 1,338.42. Low. Low. Decarbonisation of oil and gas production. Mitigation. Sustainable Energy Transition. 30. 31.5. 74.6. Low. High – 20% reduction in fugitive methane from oil and gas infrastructure. Adopt alternative urban solid waste management. Mitigation. | Scale-up renewable energy penetration by 10% by 2030. Mitigation. Sustainable Energy Transition. 18,700. 2,296.9. 1,338.42. Low. Low. Decarbonisation of oil and gas production. Mitigation. Sustainable Energy Transition. 30. 31.5. 74.6. Low. High – 20% reduction in fugitive methane from oil and gas infrastructure. Adopt alternative urban solid waste management. Mitigation. Smart communities. 820. 60.4. 21,313.0. Medium. High. | [
0,
3
] | [
"Revised First NDC"
] | [
"\"Adopt alternative urban solid waste management.\"",
"\"Decarbonisation of oil and gas production.\"",
"\"Scale-up renewable energy penetration by 10% by 2030.\""
] | [
[
{
"Alpha2": "GH",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Waste",
"SubSector": "Solid Waste"
}
],
[
{
"Alpha2": "GH",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "GH",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.999935627
} | [
0,
1
] | KHM | Cambodia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Scaled up climate‐resilient agricultural production through increased access to solar irrigation systems and other climate‐resilient practices. NCDD. GHG emission reduction through solar irrigation. NCDD will also implement ESS, Gender, M&E along with climate actions according to GCF standards. Developing a training manual and providing training on approaches for development of | Scaled up climate‐resilient agricultural production through increased access to solar irrigation systems and other climate‐resilient practices. NCDD. GHG emission reduction through solar irrigation. NCDD will also implement ESS, Gender, M&E along with climate actions according to GCF standards. Developing a training manual and providing training on approaches for development of climate-smart and sustainable livelihood to rural poor people. MRD. -Adaptive capacity of rural poor people will contribute to livelihood promotion and be environmentally friendly. Coastal zones. | [
1,
0
] | [
"Revised First NDC"
] | [
"“Developing a training manual and providing training on approaches for development of climate-smart and sustainable livelihood to rural poor people” (p. 110)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.999935627
} | [
0,
1
] | PAK | Pakistan | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Scaling up and scaling out, however, has remained a challenge for reasons of resource limitations or integrated investments that fully integrate and measure climate adaptation and mitigation. However, since no projects were undertaken in some areas between 2014 and 2021, there is a growing urgency to prioritize pilots, mostly missed | Scaling up and scaling out, however, has remained a challenge for reasons of resource limitations or integrated investments that fully integrate and measure climate adaptation and mitigation. However, since no projects were undertaken in some areas between 2014 and 2021, there is a growing urgency to prioritize pilots, mostly missed so far: PAKISTAN: UPDATED NATIONALLY DETERMINED CONTRIBUTIONS 2021 Mitigation: Efficiency improvements to boiler and furnace energy (energy), Farm forestry as a carbon sink (Agriculture and land use, land-use change, and forestry sectors), and vehicle tuning in provinces (transportation). | [
1,
0
] | [
"Revised First NDC"
] | [
"Encouraging private investments in farm forestry"
] | [
[
{
"Alpha2": "PK",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
[
4,
6
] | {
"label": "en-US",
"score": 0.9999307394
} | [
6,
4
] | KGZ | Kyrgyzstan | [
10,
0
] | [
[
null,
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
],
[
null,
null
],
[
null
]
] | [
"CW"
] | [
0,
10
] | Scaling up the installation of energy efficient stoves in households (WAM). 772,449. 886,314. 2.2. Improving energy efficiency of small boiler houses by replacing coal-fired boilers with gas-fired ones (WAM). 402,203. 1 223,697. 2.3. Construction of new buildings according to energy efficient CSR (WM). 14,552. 16,866. 2.4. Energy efficiency improvement of | Scaling up the installation of energy efficient stoves in households (WAM). 772,449. 886,314. 2.2. Improving energy efficiency of small boiler houses by replacing coal-fired boilers with gas-fired ones (WAM). 402,203. 1 223,697. 2.3. Construction of new buildings according to energy efficient CSR (WM). 14,552. 16,866. 2.4. Energy efficiency improvement of existing Buildings (WAM). NE. 10,868. 3. Development of RES. 3.1. Expanding the use of biogas plants (BGP)20 (WAM). 187,666. | [
0,
10
] | [
"Revised First NDC"
] | [
"\"Construction of new buildings according to energy efficient CSR (WM)\"",
"\"Construction of new buildings according to energy efficient CSR (WM)\": Reduction of 14.552 ktCO2e (2025), 16.866 ktCO2e (2030)",
"\"Energy efficiency improvement of existing Buildings (WAM)\"",
"\"Energy efficiency improvement of existing Buildings (WAM)\": 2025: NE, Reduction of 10.868 ktCO2e (2030)",
"\"Improvement of energy efficiency policy\"",
"\"Improving energy efficiency of small boiler houses by replacing coal-fired boilers with gas-fired ones (WAM)\"",
"\"Improving energy efficiency of small boiler houses by replacing coal-fired boilers with gas-fired ones (WAM)\": Reduction of 402.203 ktCO2e (2025), 1,223.697 ktCO2e (2030)"
] | [
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
},
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen8",
"QuestionDefinition": "Unconditional part of mitigation target for a given sectoral plan",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen4",
"QuestionDefinition": "emission reduction potential for a given sectoral plan",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
},
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen10",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral plan",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen4",
"QuestionDefinition": "emission reduction potential for a given sectoral plan",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
},
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen10",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral plan",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen4",
"QuestionDefinition": "emission reduction potential for a given sectoral plan",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999263287
} | [
0,
1
] | PAN | Panama | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Scenario of the Energy Transition Agenda (ATE): scenario based on the objectives of the ATE (Energy Transition Agenda) 2 and its consultative tables; Post COVID-19 economic reactivation package with investments in conventional infrastructure and NCRE climate investments, energy efficiency and electric mobility, the evolution of the public transport system is | Scenario of the Energy Transition Agenda (ATE): scenario based on the objectives of the ATE (Energy Transition Agenda) 2 and its consultative tables; Post COVID-19 economic reactivation package with investments in conventional infrastructure and NCRE climate investments, energy efficiency and electric mobility, the evolution of the public transport system is established according to the Integrated Plan for Sustainable Urban Mobility (PIMUS). It should be noted that due to the health crisis that the world is experiencing, it is assumed that these scenarios set in motion the economic reactivation packages as of 2022 and that energy demand begins to decouple from economic growth in the ATE scenario as a result of the policies proposed for the sector. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The evolution of the public transport system is established in accordance with the Integrated Plan for Sustainable Urban Mobility (PIMUS).\""
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Transport",
"SubSector": "Public Transport"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999172688
} | [
2,
0
] | GEO | Georgia | [
0,
2
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Asia', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 13.4737228432, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 3.877449675}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Asia', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 13.4737228432, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 3.877449675}"
]
] | [
"IKITracs"
] | [
0,
2
] | Scope All greenhouse gases not controlled by the Montreal Protocol: Carbon Dioxide (CO2) Nitrous Oxide (N2O) Hydrofluorocarbons (HFCs) Perfluorocarbons (PFCs) Sulphur hexafluoride (SF6) Base Year Period Reduction level Georgia plans to unconditionally reduce its GHG emissions by 15% below the Business as usual scenario | Scope All greenhouse gases not controlled by the Montreal Protocol: Carbon Dioxide (CO2) Nitrous Oxide (N2O) Hydrofluorocarbons (HFCs) Perfluorocarbons (PFCs) Sulphur hexafluoride (SF6) Base Year Period Reduction level Georgia plans to unconditionally reduce its GHG emissions by 15% below the Business as usual scenario (BAU) for the year 2030. This is equal to reduction in emission intensity per unit of GDP by approximately 34% from 2013 to 2030. | [
0,
0
] | [
"First NDC"
] | [
"15% below the Business as usual scenario (BAU) for the year 2030",
"25% below the Business as usual scenario (BAU) for the year 2030"
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999277592
} | [
0,
1
] | KNA | Saint Kitts and Nevis | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Vehicle taxes', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'A_Vehicletax', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Scope and coverage All the economic sectors are covered and targeted into St. Kitts and Nevis’ national contributions, but with special attention to the Energy and Transport sectors, since they are the highest contributors to the GHG national matrix. The high percentage of consumption is based on fossil fuels. | Scope and coverage All the economic sectors are covered and targeted into St. Kitts and Nevis’ national contributions, but with special attention to the Energy and Transport sectors, since they are the highest contributors to the GHG national matrix. The high percentage of consumption is based on fossil fuels. | [
0,
0
] | [
"First NDC"
] | [
"tax on vehicle with high fuel consumption"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999262094
} | [
1,
0
] | WSM | Samoa | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 6, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': 'Transport GHG targets', 'target_type': 'T_FL', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Oceania', 'parameter': 'T_Transport_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 0.139136822910847, 'ghg_transport_target_type': 'GHG conditional only', 'g20': 0, 'target_scope': 'T_SUB', 'ghg_transport': 0.07299493502}"
]
] | [
"IKITracs"
] | [
0,
1
] | Scope and coverage a) General description of the target Overall GHG emissions reduction of 26 percent in 2030 compared to 2007 levels73 (or 91 Gg CO2e compared to the new reference year once Samoa’s GHG emissions inventory has been updated).74 This will be achieved by targets for each priority�sector,�which�are:� ▪� | Scope and coverage a) General description of the target Overall GHG emissions reduction of 26 percent in 2030 compared to 2007 levels73 (or 91 Gg CO2e compared to the new reference year once Samoa’s GHG emissions inventory has been updated).74 This will be achieved by targets for each priority�sector,�which�are:� ▪� Energy—reduce� GHG� emissions� in� the� energy� sector75 by 30 percent in 2030 compared to 2007 levels (or by 53 Gg CO2e compared to the new reference year once the GHG emissions inventory is updated).76 ▪� Waste—reduce� GHG� emissions� in� the� waste� sector� by� 4 percent in 2030 compared to 2007 levels (or by 1.2 Gg CO2e compared to the new reference year once the GHG emissions inventory is updated). | [
0,
0
] | [
"Second NDC"
] | [
"Samoa would like to put forward to following mass-based sub-sector GHG emissions reduction targets that \ncan be applied relative to the new reference year once the GHG emissions inventory is updated:\n- Land transport 5.2 Gg CO2e \n- Maritime transport 3.0 Gg CO2e"
] | [
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999228716
} | [
2,
0
] | DMA | Dominica | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | Scope and coverage. Emissions reduction impact. Emissions will be reduced by 44.7% from 2014 levels. Sectors and conditional targets. (Conditional upon receiving timely access to international climate change financing, technology and capacity building support). Energy industries – 98.6% (principally from harnessing of geothermal resources);. Transport – 16.9%;. Manufacturing and construction | Scope and coverage. Emissions reduction impact. Emissions will be reduced by 44.7% from 2014 levels. Sectors and conditional targets. (Conditional upon receiving timely access to international climate change financing, technology and capacity building support). Energy industries – 98.6% (principally from harnessing of geothermal resources);. Transport – 16.9%;. Manufacturing and construction – 8.8%;. Commercial/institutional, residential, agriculture, forestry, fishing – 8.1%;. Solid waste – 78.6%. Greenhouse Gases (GHGs). | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"-8.8% emission in the construction (a sub-sector of Building) and manufacturing sector",
"-8.8% emission in the construction (a sub-sector of Building) and manufacturing sector"
] | [
[
{
"Alpha2": "DM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Buildings",
"SubSector": "Buildings: General"
}
],
[
{
"Alpha2": "DM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Buildings",
"SubSector": "Buildings: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999321699
} | [
1,
0
] | MUS | Mauritius | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 4.3317959943, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 1.15688694}"
]
] | [
"IKITracs"
] | [
0,
1
] | Scope of gases included in the contribution Carbon dioxide (CO2) and Short Lived Climate Forces (SLCF) The Republic of Mauritius imperatively needs international technical and financial support to enable it to abate its greenhouse gas emissions by 30%, by the year 2030, relative to the business as usual scenario of | Scope of gases included in the contribution Carbon dioxide (CO2) and Short Lived Climate Forces (SLCF) The Republic of Mauritius imperatively needs international technical and financial support to enable it to abate its greenhouse gas emissions by 30%, by the year 2030, relative to the business as usual scenario of 7 million metric tonnes CO2equivalent. | [
0,
0
] | [
"First NDC"
] | [
"30% below 2030 BAU scenario"
] | [
[
null
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999312162
} | [
0,
1
] | GBR | United Kingdom | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Scotland’s Energy Efficient Scotland Route Map54 sets out the vision that by 2040 Scotland’s buildings will be warmer, greener and more energy efficient. Scotland’s National Transport Strategy55 sets out the commitment to implement a sustainable travel hierarchy, where people make travel choices that minimise the long term impacts on the | Scotland’s Energy Efficient Scotland Route Map54 sets out the vision that by 2040 Scotland’s buildings will be warmer, greener and more energy efficient. Scotland’s National Transport Strategy55 sets out the commitment to implement a sustainable travel hierarchy, where people make travel choices that minimise the long term impacts on the climate and improve the lives of future generations by promoting health and wellbeing. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The commitment to implement a sustainable travel hierarchy, where people make travel choices that minimise the long term impacts on the climate and improve the lives of future generations by promoting health and wellbeing\""
] | [
[
{
"Alpha2": "GB",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
2,
0
] | {
"label": "en-US",
"score": 0.9999383688
} | [
0,
2
] | GBR | United Kingdom | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | Scotland’s Making Things Last strategy56 sets out priorities to achieving its commitment to moving towards a more circular economy – where products and materials are kept in high value use for as long as possible. In the 2020 Programme for Government,57 Scotland has committed to developing a local food strategy. | Scotland’s Making Things Last strategy56 sets out priorities to achieving its commitment to moving towards a more circular economy – where products and materials are kept in high value use for as long as possible. In the 2020 Programme for Government,57 Scotland has committed to developing a local food strategy. | [
0,
2
] | [
"Revised First NDC"
] | [
"Scotland: \"Priorities to achieving its commitment to moving towards a more circular economy – where products and materials are kept in high value use for as long as possible.\"",
"Scotland’s Making Things Last strategy"
] | [
[
{
"Alpha2": "GB",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
],
[
{
"Alpha2": "GB",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999264479
} | [
0,
1
] | PSE | Palestine | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Scrap 60% of vehicles older than 20 years by 2030, and all vehicles older than 20 years by 2040. 376,740,000. 161,460,000. Conduct statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040. 794,000. 755,000. 20% of all small transit vehicles are replaced with larger capacity buses by | Scrap 60% of vehicles older than 20 years by 2030, and all vehicles older than 20 years by 2040. 376,740,000. 161,460,000. Conduct statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040. 794,000. 755,000. 20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% by 2040. 608,860,000. 399,672,000. Indicative cost (USD). Indicative funding gap (USD). | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Conducting statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040\": 794,000 USD"
] | [
[
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999214411
} | [
1,
2
] | PSE | Palestine | [
1,
2
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 14, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_MODE', 'target_year': 2040, 'country_netzero target_exists': nan, 'country_summary_transport_targets': 'Transport non-GHG targets', 'target_type': nan, 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 'MENA', 'region': 'Asia', 'parameter': 'T_Transport_O_C', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 0.0, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.0}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'IkiSheet': 'investment', 'page_number': 53, 'region': 'Asia', 'parameter': 'M_Project', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
3
] | Scrap 60% of vehicles older than 20 years by 2030, and all vehicles older than 20 years by 2040. Conduct statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040. 20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% by | Scrap 60% of vehicles older than 20 years by 2030, and all vehicles older than 20 years by 2040. Conduct statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040. 20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% by 2040. | [
0,
0
] | [
"Revised First NDC"
] | [
"20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% by 2040"
] | [
[
null,
null,
null
]
] |
[
0,
11
] | {
"label": "en-US",
"score": 0.999920845
} | [
8,
3
] | PSE | Palestine | [
9,
2
] | [
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
2,
9
] | Scrapping 60% of vehicles older than 20 years by 2030 and scrapping all vehicles older than 20 years by 2040. Conducting statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040. 20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% | Scrapping 60% of vehicles older than 20 years by 2030 and scrapping all vehicles older than 20 years by 2040. Conducting statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040. 20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% by 2040. The overall number of vehicles is reduced by 20% by 2030 and 40% by 2040. | [
2,
9
] | [
"Revised First NDC"
] | [
"\"20% of all small transit vehicles are replaced with larger capacity buses by 2030, and 40% by 2040\"",
"\"Conducting statutory tests on 30% of on-road vehicles by 2030, and 60% by 2040\"",
"\"Scrapping 60% of vehicles older than 20 years by 2030 and scrapping all vehicles older than 20 years by 2040\"",
"\"Scrapping 60% of vehicles older than 20 years by 2030 and scrapping all vehicles older than 20 years by 2040\": 376.74 million USD",
"\"The overall number of vehicles is reduced by 20% by 2030 and 40% by 2040\"",
"Transport: \"The overall number of vehicles is reduced by 20% by 2030, and 40% by 2040.” (p. 14)",
"Transport: “Scrapping 60% of vehicles older than 20 years by 2030 and scrapping all vehicles older than 20 years by 2040” (p. 14)"
] | [
[
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "PS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Sustainable transport planning"
}
],
[
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Sustainable transport planning"
}
]
] |
[
0,
18
] | {
"label": "fr-FR",
"score": 0.999979496
} | [
10,
8
] | TCD | Chad | [
18,
0
] | [
[
null,
null,
null,
null
],
[
null,
null,
null,
null
],
[
null,
null
],
[
null,
null
],
[
null
],
[
null
],
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
18
] | Scénario conditionnel (actions supplémentaires) : - La construction de deux centrales (2x15 MW chacune) alimentées à la biomasse à Moundou et Sarh ; - Le mise en œuvre du projet d’interconnexion du réseau électrique entre le Tchad et le Cameroun qui permettrait d’utiliser l’énergie d’origine hydraulique (40 MW) ; - | Scénario conditionnel (actions supplémentaires) : - La construction de deux centrales (2x15 MW chacune) alimentées à la biomasse à Moundou et Sarh ; - Le mise en œuvre du projet d’interconnexion du réseau électrique entre le Tchad et le Cameroun qui permettrait d’utiliser l’énergie d’origine hydraulique (40 MW) ; - La construction de plusieurs centrales photovoltaïques de grande envergure pour un total de 240 MW à très court terme (2025) et de 400 MW à l’horizon 2030 ; - La construction de centrales hybrides solaire-diesel pour un total de 60 MW (plusieurs projets sont à l’étude à Sarh, Moundou et Pala) ; - La construction d’une centrale solaire avec stockage d’une capacité de 65 MW dans la ville de N’Djamena ; - La construction de centrales éoliennes, pour un total de 100 MW, à Bol, Mao, Amdjarass, Faya, Biltine, Fada, Guéréfa, Iriba, Kalaite et Arada ; - L’extension de l’usage des fours et claies de séchage améliorés pour le secteur de la pêche (1500 fours de type chokor et 2000 claies de séchage améliorées) permettant la réduction de la consommation de bois pour cette activité. | [
7,
11
] | [
"Revised First NDC"
] | [
"\"The construction of a solar power plant with storage capacity of 65 MW in the city of N'Djamena\"",
"\"The construction of several large-scale photovoltaic power plants for a total of 240 MW in the very short term (2025) and 400 MW by 2030\"",
"\"The construction of two power plants (2x15 MW each) powered by biomass in Moundou and Sarh\"",
"\"The construction of wind power plants, for a total of 100 MW, in Bol, Mao, Amdjarass, Faya, Biltine, Fada, Guéréfa, Iriba, Kalaite and Arada\"",
"\"The extension of the use of improved kilns and drying racks for the fishing sector (1500 chokor type ovens and 2000 improved drying racks) allowing the reduction of wood consumption for this activity.\"",
"\"The extension of the use of improved kilns and drying racks for the fishing sector (1500 chokor type ovens and 2000 improved drying racks) allowing the reduction of wood consumption for this activity.\" (Conditional)",
"\"The implementation of the electricity interconnection project between Chad and Cameroon, which would make it possible to use hydropower (40 MW)\"",
"\"The inclusion of 2.2 MW of wind turbines\""
] | [
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar11",
"QuestionDefinition": "Estimated cost of implementation for the conditional mitigation part of a given sectoral target",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Agriculture",
"SubSector": "Fisheries and Aquaculture"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Fisheries and Aquaculture"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
]
] |
[
0,
14
] | {
"label": "fr-FR",
"score": 0.9999791384
} | [
7,
7
] | BDI | Burundi | [
10,
4
] | [
[
null,
null
],
[
null,
null
],
[
null,
null,
null,
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
4,
10
] | Scénario conditionnel SECTEUR ACTIONS PRIORITAIRES CIBLE ACTIVITE INDICATEURS COUT (USD) AGRICULTURE ET ELEVAGE 1 Développer et évaluer de nouvelles variétés de culture D’ici nouvelles variétés plus productives des cultures prioritaires sont fournies dans Mettre à la disponibilité des populations en semences et plants pour les Nombre de nouvelles variétés introduites/zone | Scénario conditionnel SECTEUR ACTIONS PRIORITAIRES CIBLE ACTIVITE INDICATEURS COUT (USD) AGRICULTURE ET ELEVAGE 1 Développer et évaluer de nouvelles variétés de culture D’ici nouvelles variétés plus productives des cultures prioritaires sont fournies dans Mettre à la disponibilité des populations en semences et plants pour les Nombre de nouvelles variétés introduites/zone 5.3. | [
3,
11
] | [
"Revised First NDC"
] | [
"\"Build biogas digesters at 20 plants boarding school\"",
"\"Build biogas digesters at 20 plants boarding school\" (unconditional)",
"\"Build biogas digesters at 20 plants boarding school\": 2,000 USD",
"\"Four (4) micropower plants are built and commissioned\" (conditional)",
"\"Four (4) micropower plants are built and commissioned\": \"State of advance\": 0%",
"Energy: “Rehabilitate existing hydroelectric plants (p. 87)",
"Indicator: Number of power plants rehabilitated",
"Indicator: Number of types of plants installed",
"Target: By 2027, 3 power plants will be rehabilitated"
] | [
[
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct9",
"QuestionDefinition": "Unconditional part of mitigation target for a given sectoral downstream action",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Waste-to-Energy"
},
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct9",
"QuestionDefinition": "Unconditional part of mitigation target for a given sectoral downstream action",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
},
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Waste-to-Energy"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct10",
"QuestionDefinition": "Estimated cost of implementation for the unconditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (unconditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy: Waste-to-Energy"
},
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
},
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct10",
"QuestionDefinition": "Estimated cost of implementation for the unconditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (unconditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
},
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Renewable Energy: Waste-to-Energy"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar2",
"QuestionDefinition": "Information on progress towards a given sectoral target",
"QuestionText": "Tracking progress towards targets",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
],
[
{
"Alpha2": "BI",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
1,
0
] | CIV | Côte d'Ivoire | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 3, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': 'Transport GHG targets', 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Transport_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 13.55514980518, 'ghg_transport_target_type': 'GHG unconditional only', 'g20': 0, 'target_scope': 'T_ALL', 'ghg_transport': 3.6247075}"
]
] | [
"IKITracs"
] | [
0,
1
] | Scénario de base (BAU) Ce scénario décrit l’évolution des émissions de GES à l’horizon 2030 par secteur d’activité en fonction des stratégies actuelles de développement du Gouvernement. Scénario d’atténuation (bas carbone) Ce scénario décrit l’évolution des émissions de GES à l’horizon 2030 sur la base d’orientations bas-carbone dans les principaux | Scénario de base (BAU) Ce scénario décrit l’évolution des émissions de GES à l’horizon 2030 par secteur d’activité en fonction des stratégies actuelles de développement du Gouvernement. Scénario d’atténuation (bas carbone) Ce scénario décrit l’évolution des émissions de GES à l’horizon 2030 sur la base d’orientations bas-carbone dans les principaux secteurs d’activité, notamment, énergie, agriculture et déchets. Sources pour les scénarios (BAU et Bas carbone) ENP 2040, PND 2016-2020, Plan Directeur Production et Transport d’Energie Electrique 2014-2030, PNIA 2010-2015, Politique industrielle (2013). | [
0,
0
] | [
"First NDC"
] | [
"5,7% below BAU in 2030"
] | [
[
null
]
] |
[
0,
27
] | {
"label": "fr-FR",
"score": 0.999979496
} | [
27,
0
] | BFA | Burkina Faso | [
27,
0
] | [
[
null,
null
],
[
null,
null,
null,
null,
null,
null
],
[
null
],
[
null,
null,
null
],
[
null
],
[
null,
null,
null
],
[
null,
null,
null
],
[
null,
null
],
[
null,
null,
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
27
] | Scénario inconditionnel Scénario conditionnel Total Tableau 6 : Contribution du secteur des Déchets dans la réduction des émissions de GES Scénario (Gg CO2eq) Scénario inconditionnel Scénario conditionnel Total Source : SP/CNDD Le potentiel de GES pouvant être séquestré est estimé à 262 Gg CO2eq en 2025 ; 614,80 Gg CO2eq | Scénario inconditionnel Scénario conditionnel Total Tableau 6 : Contribution du secteur des Déchets dans la réduction des émissions de GES Scénario (Gg CO2eq) Scénario inconditionnel Scénario conditionnel Total Source : SP/CNDD Le potentiel de GES pouvant être séquestré est estimé à 262 Gg CO2eq en 2025 ; 614,80 Gg CO2eq en 2030 et 1 246,9 Gg CO2eq en 2050. Les résultats sont illustrés dans la figure 10 ci-dessous. | [
0,
27
] | [
"Revised First NDC"
] | [
"\"Contribution of the AFAT sector to reducing GHG emissions\": Conditional: 2025: 2,569.5 Gg CO2eq, 2030: 5,139 Gg CO2eq, 2050: 17,986.4 Gg CO2eq",
"\"Contribution of the AFAT sector to reducing GHG emissions\": Unconditional: 2025: 7,527.3 Gg CO2eq, 2030: 15,054.6 Gg CO2eq, 2050: 13,166.8",
"\"Contribution of the Energy Sector to Reducing GHG Emissions\": Conditional: 2025: 1,964.05 Gg CO2eq, 2030: 3,928.11 Gg CO2eq, 2050: 11,784.31 Gg CO2eq",
"\"Contribution of the Energy Sector to Reducing GHG Emissions\": Unconditional: 2025: 1,228.66 Gg CO2eq, 2030: 2,457.34 Gg CO2eq, 2050: 7,371.98",
"\"Contribution of the Transport sector to reducing GHG emissions\": Conditional: 2025: 267 Gg CO2eq, 2030: 876 Gg CO2eq, 2050: 4,153 Gg CO2eq",
"\"Contribution of the Transport sector to reducing GHG emissions\": Unconditional: 2025: 1,210 Gg CO2eq, 2030: 3,563 Gg CO2eq, 2050: 8,265 Gg CO2eq",
"\"Contribution of the Waste Sector to Reducing GHG Emissions\": Conditional: 2025: 262 Gg CO2eq, 2030: 614.8 Gg CO2eq, 2050: 1,246.95 Gg CO2eq",
"Conditional: 2025: 1,964.05 Gg CO2eq, 2030: 3,928.11 Gg CO2eq, 2050: 11,784.31 Gg CO2eq",
"Conditional: 2025: 2,569.5 Gg CO2eq, 2030: 5,139 Gg CO2eq, 2050: 17,986.4 Gg CO2eq",
"Conditional: 2025: 267 Gg CO2eq, 2030: 876 Gg CO2eq, 2050: 4,153 Gg CO2eq"
] | [
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Transport",
"SubSector": "Transport: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Waste",
"SubSector": "Waste: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Waste",
"SubSector": "Waste: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Waste",
"SubSector": "Waste: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
3
] | {
"label": "fr-FR",
"score": 0.9999785423
} | [
1,
2
] | MRT | Mauritania | [
3,
0
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
3
] | Scénario total EE service Éclairage de bureau efficace avec LFC Amélioration de l’efficacité énergétique de l’éclairage des bureaux avec les ampoules fluo-compactes Éclairage de bureau efficace avec LED Amélioration de l’efficacité énergétique de l’éclairage des bureaux avec ampoules LED Lampadaires efficaces - tubes LED Amélioration de l’efficacité énergétique de l’éclairage | Scénario total EE service Éclairage de bureau efficace avec LFC Amélioration de l’efficacité énergétique de l’éclairage des bureaux avec les ampoules fluo-compactes Éclairage de bureau efficace avec LED Amélioration de l’efficacité énergétique de l’éclairage des bureaux avec ampoules LED Lampadaires efficaces - tubes LED Amélioration de l’efficacité énergétique de l’éclairage public (3000 tubes LED) Efficacité énergétique en service Réduction de 20% de la demande énergétique des services particulièrement dans les nouveaux bâtiments (Nouvel immeuble à bureaux avec refroidissement central). CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE Scénario total EE offre Passer du fioul lourd au gaz naturel dans la centrale thermique dual Remplacement du fioul par le gaz naturel dans la centrale thermique dual (fioul/gaz) MW de Nouakchott en 2025 Nouvelle centrale électrique à gaz naturel Mise en service d’une centrale électrique à gaz naturel de 200MW en 2025 Nouvelle centrale électrique au gaz naturel L’installation d’une nouvelle centrale électrique à gaz naturel de 300MW Scénario total Distribution d énergie Réseaux électriques efficaces Le programme de développement du réseau national électrique compte 4 lignes régionales moyenne tension et deux lignes transnationales de haute tension en cours d’exécution et d’autres lignes en programmation. | [
1,
2
] | [
"Revised First NDC"
] | [
"\"Switching from heavy fuel oil to natural gas in the dual thermal power plant: Replacement of fuel oil by natural gas in the dual thermal power plant (oil/gas) 180 MW of Nouakchott in 2025\"",
"\"Switching from heavy fuel oil to natural gas in the dual thermal power plant: Replacement of fuel oil by natural gas in the dual thermal power plant (oil/gas) 180 MW of Nouakchott in 2025\": 0.921 million USD",
"\"Switching from heavy fuel oil to natural gas in the dual thermal power plant: Replacement of fuel oil by natural gas in the dual thermal power plant (oil/gas) 180 MW of Nouakchott in 2025\": 2020-2030: 1,308.9 GgCO2, 2030: 261.78 GgCO2"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Gas"
}
]
] |
[
0,
5
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
3,
2
] | MRT | Mauritania | [
5,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
5
] | Scénario total Foreste rie Reboisement/Reforestation Augmenter annuellement les superficies reboisées pour atteindre l’objectif de 3000 CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE ha/an (DRPEM 2000ha et Régénération assistée des forêts Augmenter annuellement les superficies restaurées pour atteindre l’objectif de 5000 ha/an Reboisement sylvopastoral Activités de restauration comportant des actionsbiologiques de | Scénario total Foreste rie Reboisement/Reforestation Augmenter annuellement les superficies reboisées pour atteindre l’objectif de 3000 CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE ha/an (DRPEM 2000ha et Régénération assistée des forêts Augmenter annuellement les superficies restaurées pour atteindre l’objectif de 5000 ha/an Reboisement sylvopastoral Activités de restauration comportant des actionsbiologiques de reboisement et de régénération naturelle de Reboisement Avec un soutien international plus conséquent les superficies reboisées peuvent atteindre l’objectif de 10000 ha/an de plus dans le cadre des programmes régionaux. Régénération assistée des forêts Avec un soutien international plus conséquent les superficies restaurées peuvent atteindre l’objectif de 10000 ha/an de plus dans le cadre des programmes régionaux. | [
0,
5
] | [
"Revised First NDC"
] | [
"\"Assisted forest regeneration: With greater international support, the restored areas can reach the target of 10,000 ha/year more within the framework of regional programmes.\"",
"\"Reforestation/Reforestation: Annually increase the areas reforested for reach the goal of 3000 ha/year (DRPEM 2000ha and GMV 1000ha) in 2030\"",
"\"Reforestation/Reforestation: Annually increase the areas reforested for reach the goal of 3000 ha/year (DRPEM 2000ha and GMV 1000ha) in 2030\": 2.4 million USD",
"\"Reforestation: With greater international support, the areas reforested can reach the target of 10000 ha/year more under the regional programmes.\"",
"\"Reforestation: With greater international support, the areas reforested can reach the target of 10000 ha/year more under the regional programmes.\": 6 million USD"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
]
] |
[
1,
6
] | {
"label": "fr-FR",
"score": 0.9999797344
} | [
4,
3
] | MRT | Mauritania | [
7,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
7
] | Scénario total Hydro Quota du pays à l’OMVS Le quota de la Mauritanie dans la production hydroélectrique sera de l’ordre de avec l’entrée en service des nouvelles installations Déchés Recyclage des plastiques Le processus de recyclage du plastique comprend le lavage et la granulation. Cette technique est déjà présente, la | Scénario total Hydro Quota du pays à l’OMVS Le quota de la Mauritanie dans la production hydroélectrique sera de l’ordre de avec l’entrée en service des nouvelles installations Déchés Recyclage des plastiques Le processus de recyclage du plastique comprend le lavage et la granulation. Cette technique est déjà présente, la production sera améliorée pour atteindre 2000 tonnes /an en 2030 Recyclage des plastiques Avec un soutien international plus conséquent la production du recyclage du plastique pourra atteindre Installation d’une usine d´incinération L’usine d´incinération sera d’une capacité de tonnes/jour, et pourra générer 12MW. | [
0,
7
] | [
"Revised First NDC"
] | [
"\"Country quota to OMVS: Mauritania's quota in hydroelectric production will be of the order of 75MW with the entry into service of the new facilities\": 2020-2030: 721.15 GgCO2, 2030: 144.23",
"\"Plastics recycling: The plastic recycling process includes washing and granulation. This technique is already present, the production will be improved to 2000 tons/year in 2030\"",
"\"Plastics recycling: The plastic recycling process includes washing and granulation. This technique is already present, the production will be improved to 2000 tons/year in 2030\": 0.61 million USD",
"\"Plastics recycling: The plastic recycling process includes washing and granulation. This technique is already present, the production will be improved to 2000 tons/year in 2030\": 2020-2030: 8.76 GgCO2, 2030: 2.19 GgCO2",
"\"Plastics recycling: With greater international support, the production of plastic recycling will be able to reach 4000 t/year in 2030\"",
"\"Plastics recycling: With greater international support, the production of plastic recycling will be able to reach 4000 t/year in 2030\": 0.61 million USD",
"\"Update on Clean Energy Production Regulations (ongoing)\""
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999797344
} | [
0,
1
] | MRT | Mauritania | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 55, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General vehicle improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Vehicleimprove', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Scénario total Transport Restriction à l importation de voitures d occasion La mise en application des restrictions pour limiter l’importation des véhicules de plus de 8 années en plus d’un système du bonus- malus exonérant les voitures peu émettrices de CO2 et pénalisant les modèles dépassant l’âge limite ainsi les | Scénario total Transport Restriction à l importation de voitures d occasion La mise en application des restrictions pour limiter l’importation des véhicules de plus de 8 années en plus d’un système du bonus- malus exonérant les voitures peu émettrices de CO2 et pénalisant les modèles dépassant l’âge limite ainsi les modèles polluants. Voitures à essence plus efficaces Voitures diesel plus efficaces CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE Voitures au gaz naturel Promotion des voitures hybrides : dans ce cadre, la mise en exploitation du gisement gazier du pays prévue dans un proche avenir facilite la Pénétration des véhicules à gaz ainsi que des voitures électriques Voiture électrique Train du sahel (marchandise) L’étude du projet est en finalisation le recours au transport ferroviaire remplacera en majeur partie le transport des marchandises et des personnes sur route. | [
0,
0
] | [
"Revised First NDC"
] | [
"Voitures à essence plus efficaces; Voitures diesel plus efficaces"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999536276
} | [
0,
1
] | VEN | Venezuela, Bolivarian Republic of | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 67, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Fuel quality improvements', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'I_Fuelqualimprove', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Se busca implementar medidas que permitan la disminución de emisiones de gases; usando algunos de los métodos equivalentes aprobados, tales como los sistemas de limpieza de los gases de escape que ayudan a limpiar las emisiones antes de que sean liberadas en la atmósfera. Igualmente, se propone la aplicación de | Se busca implementar medidas que permitan la disminución de emisiones de gases; usando algunos de los métodos equivalentes aprobados, tales como los sistemas de limpieza de los gases de escape que ayudan a limpiar las emisiones antes de que sean liberadas en la atmósfera. Igualmente, se propone la aplicación de políticas y medidas eficaces, para hacer frente al cambio climático, a fin de asegurar beneficios mundiales al menor costo posible, permitiendo la construcción de sumideros y depósitos pertinentes de gases de efecto invernadero y abarcar todos los sectores económicos. | [
0,
0
] | [
"Revised First NDC"
] | [
"los sistemas de limpieza de los gases de escape que ayudan a limpiar las emisiones antes de que sean liberadas en la atmósfera."
] | [
[
null
]
] |
[
1,
0
] | {
"label": "es-ES",
"score": 0.9999550581
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Se cuantificará la captura de carbono por año del periodo 2020 al 2030 por reforestación de bosques maduros. Descripción de la acción Las áreas que históricamente fueron degradadas por la minería ilegal, actualmente, se está implementando un programa a cada actor del sector industrial de procesamiento de mineral, estos planes | Se cuantificará la captura de carbono por año del periodo 2020 al 2030 por reforestación de bosques maduros. Descripción de la acción Las áreas que históricamente fueron degradadas por la minería ilegal, actualmente, se está implementando un programa a cada actor del sector industrial de procesamiento de mineral, estos planes especiales de remediación ambiental constituyen un valor agregado y aporte a la colectividad y al ambiente. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Establish a national policy for the modernisation of the transport system, industrial technologies and policies, as well as the energy matrix.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.999951601
} | [
0,
1
] | HND | Honduras | [
0,
1
] | [
[
"{'IkiSheet': 'benefits', 'page_number': 20, 'region': 'Latin America and the Caribbean', 'parameter': 'B_SDG', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | Se espera que el MNSCC tenga ajustes progresivos a medida que se vaya adquiriendo experiencia en su aplicación. Como paso inicial, Honduras ha identificado las siguientes nueve (9) Salvaguardas Sociales y Ambientales (SSA) para componer el MNSCC de Honduras: 33 Para más informaciones sobre el SIGMOF y sus subsistemas consulte: | Se espera que el MNSCC tenga ajustes progresivos a medida que se vaya adquiriendo experiencia en su aplicación. Como paso inicial, Honduras ha identificado las siguientes nueve (9) Salvaguardas Sociales y Ambientales (SSA) para componer el MNSCC de Honduras: 33 Para más informaciones sobre el SIGMOF y sus subsistemas consulte: • SSA 1: Biodiversidad, otros servicios ecosistémicos y áreas protegidas • SSA 2: Participación y acceso a la información • SSA 3: Salvaguarda cultural y de acceso a la tierra • SSA 4: Empleo digno y derechos laborales • SSA 5: Sostenibilidad en el uso de los recursos naturales • SSA 6: Enfoque de género y vulnerabilidad • SSA 7: Protección a la seguridad de los defensores de derechos humanos • SSA 8: Conservación y uso sostenible del agua • SSA 9: Adaptación al cambio climático y gestión de riesgos de desastres Honduras está desarrollando una serie de herramientas con el propósito de complementar y apoyar en la implementación del MNSCC. | [
0,
0
] | [
"Revised First NDC"
] | [
"SDG 7, SDG 8, SDG 9, SDG 13"
] | [
[
null
]
] |
[
0,
2
] | {
"label": "es-ES",
"score": 0.999958396
} | [
2,
0
] | VEN | Venezuela | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | Se estima para el año 2025 realizar las siguientes acciones: saneamiento del 40% de los vertederos de Desechos Sólidos Urbanos, equivalente a 14 sitios; construcción del 50% de los rellenos sanitarios, equivalente a 1 sitio y construcción del 75% de las estaciones de transferencia, equivalente a 3 estaciones. 2. Se | Se estima para el año 2025 realizar las siguientes acciones: saneamiento del 40% de los vertederos de Desechos Sólidos Urbanos, equivalente a 14 sitios; construcción del 50% de los rellenos sanitarios, equivalente a 1 sitio y construcción del 75% de las estaciones de transferencia, equivalente a 3 estaciones. 2. Se estima para el año 2030 realizar las siguientes acciones: saneamiento del 60% de los vertederos de Desechos Sólidos Urbanos, equivalente a 21 sitios; construcción del 50% de los rellenos sanitarios, equivalente a 1 sitio y construcción del 25% de las estaciones de transferencia, equivalente a 1 estación. | [
0,
2
] | [
"Revised First NDC"
] | [
"construction of 50% of landfills, equivalent to 1 site and construction of 25% of transfer stations, equivalent to 1 station.\"",
"construction of 50% of landfills, equivalent to 1 site and construction of 75% of transfer stations, equivalent to 3 stations. It is estimated that by 2030 the following actions will be carried out: sanitation of 60% of the Landfills of Urban Solid Waste, equivalent to 21 sites"
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Waste",
"SubSector": "Solid Waste"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Waste",
"SubSector": "Solid Waste"
}
]
] |
[
0,
4
] | {
"label": "es-ES",
"score": 0.9999592304
} | [
4,
0
] | VEN | Venezuela | [
4,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
4
] | Se estima para la consideración a la disminución de GEI un nivel de operatividad medio anual de 30MW y 1.576,8 GWh acumulados para el periodo. Se estima que se contribuyó en evitar la emisión de GEI acumulada de 321.446,45 tCO2 ▪ 2022 - 2030 71,82 MW de capacidad a través | Se estima para la consideración a la disminución de GEI un nivel de operatividad medio anual de 30MW y 1.576,8 GWh acumulados para el periodo. Se estima que se contribuyó en evitar la emisión de GEI acumulada de 321.446,45 tCO2 ▪ 2022 - 2030 71,82 MW de capacidad a través de 54 aerogeneradores del PEP incrementar su operatividad anual a un 70%, equivalente a una capacidad a 50 MW media anual y 220,2 GWh anuales. | [
0,
4
] | [
"Revised First NDC"
] | [
"\"2010-2021 71.82 MW of installed capacity through 54 PEP wind turbines. It is estimated for the consideration of the ghG decrease an average annual operating level of 30MW and 1,576.8 GWh accumulated for the period. It is estimated that it contributed to avoiding the cumulative GHG emission of 321,446.45 tCO2\"",
"\"2022 - 2030 71.82 MW of capacity through 54 PEP wind turbines increase their annual operability to 70%, equivalent to a capacity of 50 MW average per year and 220.2 GWh per year. It is estimated that it will contribute to avoiding the cumulative GHG emission of 44,889.97 tCO2e\"",
"\"Increase the generation of solar energy through the installation of solar panel factories, which give priority to energy demand at the national level.\": \"19,158 photovoltaic solar modules manufactured annually, equivalent to 3.74 MW. With the average annual installation of 70% of the panels manufactured, it is expected to generate an accumulated 3.8 GWh in 9 years. A decrease in GHG 774.67 tCO2 is estimated for consideration\"",
"\"The Paraguaná Wind Farm (PEP) was built, located in the state of Falcón, consisting of 54 wind turbines for an installed capacity of 71.82 MW.\": \"The PEP is made up of 54 wind turbines for an installed capacity of 71.82 MW, with an average annual operating level of 30MW, which is equivalent to 131.4 GWh per year. It is estimated that will contribute by avoiding the emission of GHG 26,787.2tCO2e annual average.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
]
] |
[
0,
2
] | {
"label": "es-ES",
"score": 0.9999575615
} | [
2,
0
] | VEN | Venezuela | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | Se estima que se contribuyó en evitar la emisión de GEI acumulada de 321.446,45 tCO2 ▪ 2022 - 2030 71,82 MW de capacidad a través de 54 aerogeneradores del PEP incrementar su operatividad anual a un 70%, equivalente a una capacidad a 50 MW media anual y 220,2 GWh anuales. | Se estima que se contribuyó en evitar la emisión de GEI acumulada de 321.446,45 tCO2 ▪ 2022 - 2030 71,82 MW de capacidad a través de 54 aerogeneradores del PEP incrementar su operatividad anual a un 70%, equivalente a una capacidad a 50 MW media anual y 220,2 GWh anuales. Se estima que se contribuirá en evitar la emision de GEI acumulada de 44.889,97 Sector Energía Eje Mitigación. | [
0,
2
] | [
"Revised First NDC"
] | [
"Number of information published in the mass media, social networks and other alternative media."
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
},
{
"Alpha2": "VE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water management"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999558926
} | [
0,
1
] | COL | Colombia | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 124, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Se estimó que el trans- porte por carretera crecerá 2.2 veces entre 2015 y 2050, mientras que los servicios de transporte descarbonizado deberán proporcionarse para los sistemas de transporte público que crecen para atender más del 70 % de la demanda total de movilidad por carretera para 2050. Además, para | Se estimó que el trans- porte por carretera crecerá 2.2 veces entre 2015 y 2050, mientras que los servicios de transporte descarbonizado deberán proporcionarse para los sistemas de transporte público que crecen para atender más del 70 % de la demanda total de movilidad por carretera para 2050. Además, para 2050 el 64 % de los sistemas de transporte público necesitarán ser alimentados por electrici- dad, mientras que el resto de la energía será una mezcla de gas natural, líquidos fósiles y biocom- bustibles (Universidad de los Andes et al. | [
0,
0
] | [
"LTS"
] | [
"mientras que los servicios de transporte descarbonizado deberán proporcionarse para los sistemas de transporte público que crecen para atender más del 70 % de la demanda total de movilidad por carretera para 2050"
] | [
[
null
]
] |
[
0,
2
] | {
"label": "es-ES",
"score": 0.9999549389
} | [
0,
2
] | VEN | Venezuela | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | Se prevé un accionar en los componentes: Sistema Nacional Integrado de Información Forestal (SINIB) que tiene como resultados esperados 4.465.909 ha de ecosistemas forestales monitoreados y evaluados, asimismo: a) complementar el inventario forestal nacional con productos temáticos mejorados sobre biodiversidad y GEI; b) fortalecer el procesamiento de la información geoespacial | Se prevé un accionar en los componentes: Sistema Nacional Integrado de Información Forestal (SINIB) que tiene como resultados esperados 4.465.909 ha de ecosistemas forestales monitoreados y evaluados, asimismo: a) complementar el inventario forestal nacional con productos temáticos mejorados sobre biodiversidad y GEI; b) fortalecer el procesamiento de la información geoespacial y socioeconómica; y C) monitoreo participativo de cobertura forestal. Esta Acción climática apuntala al Fortalecimiento de Capacidades de la Institución. | [
2,
0
] | [
"Revised First NDC"
] | [
"and (C) participatory monitoring of forest cover.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Land Management"
},
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Forest Management"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999549389
} | [
0,
1
] | DOM | Dominican Republic | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 28, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'I_Emobility', 'mode_private_cars': 'x', 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Se requiere el apoyo de mecanismos financieros para el sector privado para la posibilidad adquirir autobuses eléctricos para el transporte escolar y priorizar estudios para el establecimiento del sistema de medición de las emisiones de GEI generada, que provienen de autobuses 100% eléctricos, a partir de la emisión del Decreto | Se requiere el apoyo de mecanismos financieros para el sector privado para la posibilidad adquirir autobuses eléctricos para el transporte escolar y priorizar estudios para el establecimiento del sistema de medición de las emisiones de GEI generada, que provienen de autobuses 100% eléctricos, a partir de la emisión del Decreto 541-20 que establece el Sistema Nacional de Medición, Reporte y Verificación (MRV) de Gases de Efecto Invernadero. Título de la opción: Introducción de Marcos Habilitantes para la modernización del parque de vehículos privados (Sustitución por vehículos híbridos y 100 % eléctricos) Objetivo Reducción de GEI en el sector transporte e introducción de políticas para la reposición de un parque automotor privado 100% eléctrico e híbridos con recargas a partir de fuentes renovables. | [
0,
0
] | [
"Revised First NDC"
] | [
"Introducción de marcos habilitantes para la modernización del parque de vehículos privados (sustitución por vehículos híbridos y 100 % eléctricos)."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999486208
} | [
0,
1
] | DOM | Dominican Republic | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 28, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'BRT', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'S_BRT', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Se requiere el apoyo de mecanismos financieros para el sector público en nuevas líneas para el teleférico a partir de tecnologías maduras en el mercado y priorizar estudios para el establecimiento del sistema para medir las emisiones de GEI generada que provienen de las instalaciones del metro de Santo Domingo, | Se requiere el apoyo de mecanismos financieros para el sector público en nuevas líneas para el teleférico a partir de tecnologías maduras en el mercado y priorizar estudios para el establecimiento del sistema para medir las emisiones de GEI generada que provienen de las instalaciones del metro de Santo Domingo, a partir de la emisión del Decreto 541-20 que establece el Sistema Nacional de Medición, Reporte y Verificación (MRV) de Gases de Efecto Invernadero. Título de la opción: Creación y adecuación del sistema BRT en las grandes ciudades (Santo Domingo y Santiago de los Caballeros) Objetivo Reducción de GEI en el sector transporte e inversión en nuevo Sistema de BRT para ciudades de alta demanda de pasajeros. | [
0,
0
] | [
"Revised First NDC"
] | [
"Creación y adecuación del sistema BRT en las grandes ciudades (Santo Domingo y Santiago de los Caballeros)"
] | [
[
null
]
] |
[
0,
1
] | {
"label": "es-ES",
"score": 0.9999601841
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Se sustituyeron 42.504 A/A (entre los años 2011-2013) y 3.077 refrigeradores durante el año 2012. Año base Con la implementación de la Ley de uso racional y eficiente de la energía y de los Reglamentos Técnicos sobre Eficiencia Energética en artefactos Sector Energía Eje Mitigación. Actualización CND Proyección 2020 - | Se sustituyeron 42.504 A/A (entre los años 2011-2013) y 3.077 refrigeradores durante el año 2012. Año base Con la implementación de la Ley de uso racional y eficiente de la energía y de los Reglamentos Técnicos sobre Eficiencia Energética en artefactos Sector Energía Eje Mitigación. Actualización CND Proyección 2020 - 2030. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"Program to replace air conditioning equipment (A/C) and refrigerators with efficient equipment. Replaced 42,504 A/C (between the years 2011-2013) and 3,077 refrigerators during the year 2012.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct1",
"QuestionDefinition": "Existing sectoral downstream actions that the NDC builds on",
"QuestionText": "Building on existing downstream actions",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
]
] |
[
0,
5
] | {
"label": "es-ES",
"score": 0.9999573231
} | [
3,
2
] | VEN | Venezuela | [
5,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
5
] | Se tiene programado para el año 2022 once (11) Trenes del Sur- Oeste del Área Metropolitana de Caracas. El total de trenes a recuperar son veintidós (22) Planificación Se debe cumplir con el programa de trabajo. Supuestos y enfoques Metodológicos Demanda estimada de pasajeros: 1.383.000 para el 2022; lo que | Se tiene programado para el año 2022 once (11) Trenes del Sur- Oeste del Área Metropolitana de Caracas. El total de trenes a recuperar son veintidós (22) Planificación Se debe cumplir con el programa de trabajo. Supuestos y enfoques Metodológicos Demanda estimada de pasajeros: 1.383.000 para el 2022; lo que equivale a una disminución de las emisiones de 10.142.000 gr CO2. Consideraciones de la contribución Disminución de emisiones de CO2. | [
1,
4
] | [
"Revised First NDC"
] | [
"\"Caracas Train Project.\": \"Five (5) trains have been made as of the date of issuance of this document. Eleven (11) Trains from the South-West of the Caracas Metropolitan Area are scheduled for 2022. The total number of trains to be recovered is twenty-two (22)\"",
"\"Caracas Train Project.\": \"Five (5) trains have been made as of the date of issuance of this document. Eleven (11) Trains from the South-West of the Caracas Metropolitan Area are scheduled for 2022. The total number of trains to be recovered is twenty-two (22)\": \"Estimated passenger demand: 1,383,000 by 2022",
"\"Caracas Train Project.\": \"Five (5) trains have been made as of the date of issuance of this document. Eleven (11) Trains from the South-West of the Caracas Metropolitan Area are scheduled for 2022. The total number of trains to be recovered is twenty-two (22)\": Bs. 14,339,948.00",
"which is equivalent to a reduction in emissions of 10,142,000 gr CO2.\"",
"which is equivalent to a reduction in emissions of 186,030 gr CO2\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct1",
"QuestionDefinition": "Existing sectoral downstream actions that the NDC builds on",
"QuestionText": "Building on existing downstream actions",
"Sector": "Transport",
"SubSector": "Rail"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Transport",
"SubSector": "Rail"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Transport",
"SubSector": "Rail"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Transport",
"SubSector": "Rail"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Transport",
"SubSector": "Rail"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999340773
} | [
0,
3
] | MYS | Malaysia | [
0,
3
] | [
[
null,
null
],
[
null
]
] | [
"CW"
] | [
3,
0
] | Sea level rise (SLR) poses threat to Malaysia’s coastal resources. SLR and storm surge projections will be mainstreamed into the Integrated Shoreline Management Plan and for the planning of coastal protection and development projects. Malaysia utilises the Coastal Vulnerability Index associated with SLR, as an essential indicator to evaluate the | Sea level rise (SLR) poses threat to Malaysia’s coastal resources. SLR and storm surge projections will be mainstreamed into the Integrated Shoreline Management Plan and for the planning of coastal protection and development projects. Malaysia utilises the Coastal Vulnerability Index associated with SLR, as an essential indicator to evaluate the vulnerability and risk levels of shoreline. This will be embedded in mapping out vulnerability assessment of different socio- economic segments. Efforts will be focused on intensification of developing coastline SLR-based inundation maps. | [
3,
0
] | [
"Revised First NDC"
] | [
"Protecting Coastal Resources: “Malaysia utilises the Coastal Vulnerability Index associated with SLR, as an essential indicator to evaluate the vulnerability and risk levels of shoreline. This will be embedded in mapping out vulnerability assessment of different socio-economic segments. Efforts will be focused on intensification of developing coastline SLR-based inundation maps.” (p. 11)",
"Protecting Coastal Resources: “Sea level rise (SLR) poses threat to Malaysia’s coastal resources. SLR and storm surge projections will be mainstreamed into the Integrated Shoreline Management Plan and for the planning of coastal protection and development projects.” (p. 11)"
] | [
[
{
"Alpha2": "MY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
},
{
"Alpha2": "MY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "MY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999256134
} | [
0,
3
] | LCA | Saint Lucia | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | Sea level rise and increased extreme climatic events will also result in loss of culturally and spiritually important landscapes and ultimately migration and displacement of coastal communities. Temperature increase will directly result in increased risk of deaths and injuries associated with extreme events, and indirectly through increased water borne and | Sea level rise and increased extreme climatic events will also result in loss of culturally and spiritually important landscapes and ultimately migration and displacement of coastal communities. Temperature increase will directly result in increased risk of deaths and injuries associated with extreme events, and indirectly through increased water borne and vector borne disease outbreaks. | [
0,
3
] | [
"Revised First NDC"
] | [
"Increasing capacities to absorb and recover from extreme events"
] | [
[
{
"Alpha2": "LC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "LC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "LC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999331236
} | [
0,
1
] | IRQ | Iraq | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sea level rise and the tourism sector:Despite the Iraqi question about Al-Kheleen, many studies have indicated that we hope for significant impacts as a result of the sea level rise on the Iraqi territories, especially the threatened, drowning and bastard of Iraq. Vener concentrates a lot of agricultural areas, the | Sea level rise and the tourism sector:Despite the Iraqi question about Al-Kheleen, many studies have indicated that we hope for significant impacts as a result of the sea level rise on the Iraqi territories, especially the threatened, drowning and bastard of Iraq. Vener concentrates a lot of agricultural areas, the palm trees, and the oil fields, the industrial facilities and the undisclosed technical sources. | [
1,
0
] | [
"INDC"
] | [
"Shift of tourism to areas not affected by sea level rise."
] | [
[
{
"Alpha2": "IQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Tourism",
"SubSector": "Tourism: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.999933362
} | [
0,
2
] | CUB | Cuba | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | Sea level rise due to intense hurricanes and other extreme weather events will continue to represent the main danger of climate change for the Cuban archipelago due to coastal flooding and the destruction of the natural and human heritage near the coast. Studies indicate that 2.45 per cent of the | Sea level rise due to intense hurricanes and other extreme weather events will continue to represent the main danger of climate change for the Cuban archipelago due to coastal flooding and the destruction of the natural and human heritage near the coast. Studies indicate that 2.45 per cent of the land surface by 2050 would be permanently submerged, with a sea level rise of 27cm and 5.80 per cent by 2100 with an average sea level rise 85 Cm, without considering the keys. | [
2,
0
] | [
"First NDC"
] | [
"Reduce the vulnerability of coastal settlments threatened by sea level rise and flooding due to hurricanes and high tides (13)"
] | [
[
{
"Alpha2": "CU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
},
{
"Alpha2": "CU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999371767
} | [
0,
1
] | GEO | Georgia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sea level rise impacts are projected to induce multiple negative consequences in coastal zone of Georgia. It is imperative to assess and implement adaptation measures in order to minimize economic losses. Combination of various coastal zone protection technologies are recommended by the second “Technology Needs Assessment” report of Georgia to | Sea level rise impacts are projected to induce multiple negative consequences in coastal zone of Georgia. It is imperative to assess and implement adaptation measures in order to minimize economic losses. Combination of various coastal zone protection technologies are recommended by the second “Technology Needs Assessment” report of Georgia to prevent the significant damage caused by the Black Sea level rise. | [
0,
1
] | [
"INDC"
] | [
"Combination of various coastal zone protection technologies are recommended by the second “Technology Needs Assessment“ report of Georgia to prevent the significant damage caused by the Black Sea level rise."
] | [
[
{
"Alpha2": "GE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_TecTran",
"QuestionDefinition": "Technology transfer needs for sectoral implementation",
"QuestionText": "Technology Transfer Needs for Sectoral Implementation",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999309778
} | [
4,
0
] | RWA | Rwanda | [
0,
4
] | [
[
null,
null,
null
],
[
null
]
] | [
"CW"
] | [
4,
0
] | Seasonal shortages of food supply as a result of poor harvests caused by droughts and flooding and soil erosion are among the most significant signs of how the agriculture sector is vulnerable to climate change in Rwanda. In order to adapt to this situation, Rwanda intends to mainstream agro ecology | Seasonal shortages of food supply as a result of poor harvests caused by droughts and flooding and soil erosion are among the most significant signs of how the agriculture sector is vulnerable to climate change in Rwanda. In order to adapt to this situation, Rwanda intends to mainstream agro ecology technologies in its current agriculture intensification programme and other natural resource-based livelihood programmes. 100% of the households involved in agriculture production will be implementing agro forestry sustainable food production by 2030. | [
0,
4
] | [
"First NDC",
"INDC"
] | [
"\"100% of the households involved in agriculture production will be implementing agro forestry sustainable food production by 2030.\" (p. 3)",
"100% of the households involved in agriculture production will be implementing agro forestry sustainable food production by 2030"
] | [
[
{
"Alpha2": "RW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agroecology"
},
{
"Alpha2": "RW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "RW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agroforestry"
}
],
[
{
"Alpha2": "RW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_Tar",
"QuestionDefinition": "Adaptation targets/ objectives at the sectoral level",
"QuestionText": "Sectoral Target",
"Sector": "Agriculture",
"SubSector": "Agroecology"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999372959
} | [
0,
1
] | TON | Tonga | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Second, achieving a 2% efficiency gain per year for newly purchased light duty vehicles either requires establishing mandatory vehicle standards and/or incentives for purchasing more efficient vehicles through taxes, fees, or import tariffs. While price incentives would likely directly affect consumer choices, mandatory standards would profit from being aligned with | Second, achieving a 2% efficiency gain per year for newly purchased light duty vehicles either requires establishing mandatory vehicle standards and/or incentives for purchasing more efficient vehicles through taxes, fees, or import tariffs. While price incentives would likely directly affect consumer choices, mandatory standards would profit from being aligned with price signals for consumers in order to be effective. | [
1,
0
] | [
"Second NDC"
] | [
"\"Mandatory vehicle standards and/or incentives through tax, fees, import tariffs\""
] | [
[
{
"Alpha2": "TO",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Transport",
"SubSector": "Transportation Fuels"
}
]
] |
[
6,
1
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
0,
7
] | CMR | Cameroon | [
6,
1
] | [
[
null
],
[
null,
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
1,
6
] | Secteurs Technologie Agriculture Pratique d’irrigation intermittente des rizières (Réduction du CH4 des cultures de riz) Utilisation des inhibiteurs de nitrification Supplémentation en matières grasses dans l alimentation des ruminants Pratiques culturales anti-érosives Agriculture biologique Bioengrais Pyrolyse des résidus agricoles (Biochar, biogaz, biofuel) Méthanisation de fumier FAT Reboisement Régénération assistée des | Secteurs Technologie Agriculture Pratique d’irrigation intermittente des rizières (Réduction du CH4 des cultures de riz) Utilisation des inhibiteurs de nitrification Supplémentation en matières grasses dans l alimentation des ruminants Pratiques culturales anti-érosives Agriculture biologique Bioengrais Pyrolyse des résidus agricoles (Biochar, biogaz, biofuel) Méthanisation de fumier FAT Reboisement Régénération assistée des forêts Pratiques agroforestière Energie Biomasse Combustion directe pour production d’électricité Eolien on shore pour la production d’électricité Solaire Photovoltaïque pour la production d’électricité Solaire thermique Petite hydroélectricité Mini hydroélectricité Efficacité énergétique dans le bâtiment « Lampes à Basse Consommation (LBC) » Efficacité énergétique dans l’industrie Bus à transit rapide Déchets Gestion des déchets (Hiérarchie des déchets) Production d’énergie électrique ou thermique par combustion des déchets Extraction de biogaz dans les abattoirs Gazéification thermique des déchets pour cogénération Collecte de méthane dans les sites d’enfouissage pour production d’électricité et de chaleur Compostage anaérobie des déchets solides Traitement biologique anaérobique (déchets liquides) Capture et torcharge du biogaz dans les décharges 7.2 Financement : besoin d’appui financier pour la mise en œuvre des composantes adaptation et atténuation 7.2.1 Besoins financiers en matière d’atténuation Les investissements nécessaires à consacrer aux actions d’atténuation pour atteindre l’objectif visé en 2030 sont évalués à 25 784,66 millions USD soit 12 785 milliards FCFA. | [
0,
7
] | [
"Revised First NDC"
] | [
"\"Biomass Direct combustion for electricity production\"",
"\"Capture and flaring of biogas in landfills\"",
"\"Methane collection at landfill sites for power generation and heat\"",
"\"Pyrolysis of agricultural residues (biochar, biogas, biofuel)",
"Bioengrais",
"Increasing climate-resilient investments and capture value from adaptation benefits"
] | [
[
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen7",
"QuestionDefinition": "Technology needed for a given sectoral plan",
"QuestionText": "Technology needs",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
}
],
[
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen7",
"QuestionDefinition": "Technology needed for a given sectoral plan",
"QuestionText": "Technology needs",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
},
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen7",
"QuestionDefinition": "Technology needed for a given sectoral plan",
"QuestionText": "Technology needs",
"Sector": "Waste",
"SubSector": "Solid Waste"
}
],
[
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen7",
"QuestionDefinition": "Technology needed for a given sectoral plan",
"QuestionText": "Technology needs",
"Sector": "Waste",
"SubSector": "Waste-to-Energy"
}
],
[
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen7",
"QuestionDefinition": "Technology needed for a given sectoral plan",
"QuestionText": "Technology needs",
"Sector": "Agriculture",
"SubSector": "Agricultural Waste"
}
],
[
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen7",
"QuestionDefinition": "Technology needed for a given sectoral plan",
"QuestionText": "Technology needs",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "CM",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Urban",
"SubSector": "Urban: General"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
0,
2
] | LUX | Luxembourg | [
0,
2
] | [
[
"{'IkiSheet': 'covid19', 'page_number': 68, 'region': 'Europe', 'parameter': 'Y_Transport', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'IkiSheet': 'implementation', 'page_number': 68, 'region': 'Europe', 'parameter': 'P_Stakehol', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
2
] | Secteurs aérien et maritime Au niveau européen et global, les transports aérien et maritime sont responsables pour des émissions croissantes de GES, quoique la pandémie COVID-19 a récemment provoqué un ralentissement abrupt des activités. Vu le caractère international de ces secteurs, des solutions doivent être élaborées à l’échelle européenne voire | Secteurs aérien et maritime Au niveau européen et global, les transports aérien et maritime sont responsables pour des émissions croissantes de GES, quoique la pandémie COVID-19 a récemment provoqué un ralentissement abrupt des activités. Vu le caractère international de ces secteurs, des solutions doivent être élaborées à l’échelle européenne voire mondiale. | [
0,
0
] | [
"LTS"
] | [
"Au niveau européen et global, les transports aérien et maritime sont responsables pour des émissions croissantes de GES, quoique la pandémie COVID-19 a récemment provoqué un ralentissement abrupt des activités.",
"Vu le caractère international de ces secteurs, des solutions doivent être élaborées à l’échelle européenne voire mondiale"
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999797344
} | [
1,
0
] | MRT | Mauritania | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 7.6594419403, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 1.355644798}"
]
] | [
"IKITracs"
] | [
0,
1
] | Secteurs pris en compte : Energie, Agriculture, Foresterie et Affectation des terres, Procédés Industriels et Utilisation des Produits ainsi que les déchets. Gaz concernés : CO2, CH4, N2O. Méthodologie d évaluation : GIEC 2006 Objectif de la contribution d atténuation: Réduction des émissions de GES de l’année cible (2030) par | Secteurs pris en compte : Energie, Agriculture, Foresterie et Affectation des terres, Procédés Industriels et Utilisation des Produits ainsi que les déchets. Gaz concernés : CO2, CH4, N2O. Méthodologie d évaluation : GIEC 2006 Objectif de la contribution d atténuation: Réduction des émissions de GES de l’année cible (2030) par rapport aux émissions projetés à la même année dans le scénario du cours normal des affaires. Niveau de réduction visé en 2030 : 22.3 %. Réduction cumulée des émissions pour la période 2020-2030 : 33,56 Millions de tonnes équivalent dioxyde de carbone. | [
0,
0
] | [
"First NDC"
] | [
"22.3% below 2030 BAU levels"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999785423
} | [
0,
2
] | BEN | Benin | [
1,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Data & modelling improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_DataModelling', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'IkiSheet': 'investment', 'page_number': 34, 'region': 'Africa', 'parameter': 'M_Project', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
2
] | Secteurs/domaines prioritaires Besoins en renforcement des capacités Valorisation des connaissances traditionnelles en matière de diversité biologique pour le renforcement des puits de séquestration du carbone. Etablissements humains Intégration des questions de Changements Climatiques dans les plans politiques, stratégiques, programmes et projets de développement. Formation et information des acteurs (décideurs, agents | Secteurs/domaines prioritaires Besoins en renforcement des capacités Valorisation des connaissances traditionnelles en matière de diversité biologique pour le renforcement des puits de séquestration du carbone. Etablissements humains Intégration des questions de Changements Climatiques dans les plans politiques, stratégiques, programmes et projets de développement. Formation et information des acteurs (décideurs, agents de santé, populations, autorités locales) sur les effets néfastes des Changements Climatiques Protection des systèmes socio-économiques contre la dégradation de l’environnement côtier et l’élévation du niveau marin. | [
0,
0
] | [
"First NDC"
] | [
"Conducting a domestic survey to supplement the information available regarding vehicle fleet by collecting data on daily fuel consumptions for categories and various uses of vehicles",
"Conducting a poll at the national level to supplement the information available on the vehicle fleet by collecting data on daily fuel - Cost in (million US $): 0.10 "
] | [
[
null
],
[
null
]
] |
[
0,
9
] | {
"label": "en-US",
"score": 0.9999250174
} | [
0,
9
] | ALB | Albania | [
0,
9
] | [
[
null,
null,
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
9,
0
] | Section 4 presents climate variability and change in the country, analyses climate risks, impacts and vulnerability for three priority sectors, discusses gender distribution, gaps and structural barriers regarding climate risks, impacts and vulnerability, and categorizes and prioritizes adaptive measures. Development and mitigation co-benefits and ease of implementation was considered to | Section 4 presents climate variability and change in the country, analyses climate risks, impacts and vulnerability for three priority sectors, discusses gender distribution, gaps and structural barriers regarding climate risks, impacts and vulnerability, and categorizes and prioritizes adaptive measures. Development and mitigation co-benefits and ease of implementation was considered to prioritize adaptation measures. | [
0,
9
] | [
"Revised First NDC"
] | [
"Helping small scale producers manage risks from increased variability and climate shocks"
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Social Development",
"SubSector": "Social Development: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water management"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999350309
} | [
0,
3
] | AGO | Angola | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | Section 5 describes Angola’s contribution to Adaptation. Section 6 outlines the means of implementation for the mitigation and adaptation measures contained in the NDC and identifies the barriers to the implementation. Section 7 describes the fairness and ambition of the present NDC. Section 8 describes Information to facilitate clarity, transparency | Section 5 describes Angola’s contribution to Adaptation. Section 6 outlines the means of implementation for the mitigation and adaptation measures contained in the NDC and identifies the barriers to the implementation. Section 7 describes the fairness and ambition of the present NDC. Section 8 describes Information to facilitate clarity, transparency and understanding. Section 9 contains the references. | [
0,
3
] | [
"Revised First NDC"
] | [
"Raising understanding of the value of nature for climate adaptation"
] | [
[
{
"Alpha2": "AO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "AO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "AO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
]
] |
[
0,
7
] | {
"label": "en-US",
"score": 0.999936223
} | [
0,
7
] | LBR | Liberia | [
0,
7
] | [
[
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
7,
0
] | Section 5 of the Act Creating the Environment Protection Agency of the Republic of Liberia of 2002 mandates the Agency to:. collaborate with key line ministries and agencies to coordinate, integrate, harmonize and monitor the implementation of environmental policy and integrate environmental concerns in overall national development planning. | Section 5 of the Act Creating the Environment Protection Agency of the Republic of Liberia of 2002 mandates the Agency to:. collaborate with key line ministries and agencies to coordinate, integrate, harmonize and monitor the implementation of environmental policy and integrate environmental concerns in overall national development planning. | [
0,
7
] | [
"Revised First NDC"
] | [
"Embedding NbS into adaptation planning and policy"
] | [
[
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Social Development",
"SubSector": "Gender"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999313354
} | [
0,
5
] | TON | Tonga | [
0,
5
] | [
[
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
5,
0
] | Section 7: Climate Financing and Resourcing the INDC. Prior to COP21, Tonga’s commitment over the past six years recorded over 30 percent of development assistance supported Tonga’s climate change. In addition to Government’s ex-ante funding, Tonga does not have any dominant funding source for climate change but instead rely on | Section 7: Climate Financing and Resourcing the INDC. Prior to COP21, Tonga’s commitment over the past six years recorded over 30 percent of development assistance supported Tonga’s climate change. In addition to Government’s ex-ante funding, Tonga does not have any dominant funding source for climate change but instead rely on the range of international and bilateral sources. | [
5,
0
] | [
"First NDC"
] | [
"\" (7)"
] | [
[
{
"Alpha2": "TO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agroforestry"
},
{
"Alpha2": "TO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Land degradation"
},
{
"Alpha2": "TO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
},
{
"Alpha2": "TO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "TO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
]
] |
[
0,
1
] | {
"label": "es-ES",
"score": 0.9999504089
} | [
0,
1
] | VEN | Venezuela | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sector Agricultura Urbana . 106 11.3.3. Sector Agua . 108 11.3.4. Sector Asentamiento Urbano (Vivienda) . 115 11.3.5. Sector Ciencia y Tecnología 117 11.3.6. Sector Comunas (Organización Popular) 120 11.3.7. Sector Educación Básica . 122 11.3.8. Sector Educación Universitaria 126 11.3.9. Sector Género (Mujer y la Igualdad de Género) . | Sector Agricultura Urbana . 106 11.3.3. Sector Agua . 108 11.3.4. Sector Asentamiento Urbano (Vivienda) . 115 11.3.5. Sector Ciencia y Tecnología 117 11.3.6. Sector Comunas (Organización Popular) 120 11.3.7. Sector Educación Básica . 122 11.3.8. Sector Educación Universitaria 126 11.3.9. Sector Género (Mujer y la Igualdad de Género) . 129 11.3.10. Sector Juventud y Deporte 131 11.3.11. Sector Minería 134 11.3.12. Sector Pueblos Indígenas 138 11.3.13. Sector Riesgo y Desastre 140 11.3.14. Sector Salud 142 11.3.15. | [
1,
0
] | [
"Revised First NDC"
] | [
"Urban Settlements (Housing): “2 sectoral plans and 9 annual plans will be developed in the habitat and housing sector, aimed at establishing the sustainability policies necessary to mitigate risks from hydro-meteorological hazards and direct the construction of houses that guarantee climate resilience.” (p. 106)"
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Sustainable urban planning"
}
]
] |
[
0,
1
] | {
"label": "es-ES",
"score": 0.9999576807
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sector Bosque (Fundación Misión Árbol) Política Pública Producir la cantidad de 8.797.255 plantas de especies autóctonas: Forestales, Frutales, Medicinales y Ornamentales promoviendo el uso de prácticas agroecológicas (Plan de la patria 2019 - 2025-2030 y el Plan de Producción Nacional 2021) Acción Se prevé la instalación de 55 viveros institucionales | Sector Bosque (Fundación Misión Árbol) Política Pública Producir la cantidad de 8.797.255 plantas de especies autóctonas: Forestales, Frutales, Medicinales y Ornamentales promoviendo el uso de prácticas agroecológicas (Plan de la patria 2019 - 2025-2030 y el Plan de Producción Nacional 2021) Acción Se prevé la instalación de 55 viveros institucionales y 240 viveros comunales para la producción de más de 8 millones de plantas Sector Bosque Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Bosque (Fundación Misión Árbol) autóctonas y promisorias. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"The installation of 55 institutional nurseries and 240 communal nurseries is planned for the production of more than 8 million plants\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
[
0,
1
] | {
"label": "es-ES",
"score": 0.999958992
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sector Bosque Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Bosque (Fundación Misión Árbol) Política Pública Establecer árboles de especies autóctonas y promisorias, en cuencas hidrográficas, zonas degradadas en parques nacionales y monumentos naturales, con la finalidad de incrementar los sumideros de carbono (Plan de la Patria 2019 - | Sector Bosque Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Bosque (Fundación Misión Árbol) Política Pública Establecer árboles de especies autóctonas y promisorias, en cuencas hidrográficas, zonas degradadas en parques nacionales y monumentos naturales, con la finalidad de incrementar los sumideros de carbono (Plan de la Patria 2019 - 2025-2030 y la Estrategia Nacional de Acción Se prevé establecer la plantación de 4.800.000 árboles en 4000 jornadas de reforestación, con la finalidad de establecer núcleos verdes para la captura de C02. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"It is planned to establish the planting of 4,800,000 trees in 4000 days of reforestation, in order to establish green nuclei for the capture of C02.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
]
] |
[
1,
1
] | {
"label": "es-ES",
"score": 0.999958992
} | [
0,
2
] | VEN | Venezuela | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | Sector Bosque Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Bosque (Fundación Misión Árbol) Política Pública Producir bioinsumos, disminuyendo el uso de agroquímicos con la finalidad de desarrollar prácticas agroecológicas en los procesos de reproducción de material vegetal en viveros. (Plan de la Patria 2019 - 2025-2030 y el | Sector Bosque Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Bosque (Fundación Misión Árbol) Política Pública Producir bioinsumos, disminuyendo el uso de agroquímicos con la finalidad de desarrollar prácticas agroecológicas en los procesos de reproducción de material vegetal en viveros. (Plan de la Patria 2019 - 2025-2030 y el Plan de Producción de Bioinsumos) Acción Se prevé la producción de: 2.705 litros de biocontroladores, 119 litros de biofertilizante, y 1.288,30 m3 de sustrato. | [
1,
1
] | [
"Revised First NDC"
] | [
"\"Produce bioinputs, reducing the use of agrochemicals in order to develop agroecological practices in the processes of reproduction of plant material in nurseries. (Plan de la Patria 2019 - 2025-2030 and the Bioinput Production Plan)\"",
"\"The production of 2,705 liters of biocontrollers, 119 liters of biofertilizer, and 1,288.30 m3 of substrate is expected.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Agriculture",
"SubSector": "Fertilizers"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Agriculture",
"SubSector": "Fertilizers"
}
]
] |
[
1,
0
] | {
"label": "es-ES",
"score": 0.9999549389
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sector Desechos (Viceministerio de Gestión Integral de la Basura) Política Publica Promover acciones en el ámbito nacional que permita el adecuado manejo de los residuos y desechos sólidos (basura) generados por la población del país, haciendo énfasis en la gestión integral de la basura, con el fin de reducir su | Sector Desechos (Viceministerio de Gestión Integral de la Basura) Política Publica Promover acciones en el ámbito nacional que permita el adecuado manejo de los residuos y desechos sólidos (basura) generados por la población del país, haciendo énfasis en la gestión integral de la basura, con el fin de reducir su generación y garantizar que su recolección, aprovechamiento y disposición final sea realizada en forma sanitaria y ambientalmente segura (Ley de Gestión Integral de la Basura y Plan de la Patria. 2019 - 2025). | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Promote actions at the national level that allow the proper management of waste and solid waste (garbage) generated by the population of the country, emphasizing the integral management of garbage, in order to reduce its generation and guarantee that its collection, use and final disposal is carried out in a sanitary and environmentally safe way (Law of Integral Management of Garbage and Plan of the Homeland. 2019 - 2025).\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Waste",
"SubSector": "Solid Waste"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999104738
} | [
0,
3
] | KGZ | Kyrgyzstan | [
3,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 20, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General transport demand management', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'A_TDM', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 20, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Cycling measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Cycling', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 20, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
3
] | Sector Energy Goals Target indicators, 1000 tons of CO2 eq. 1. Reduction of GHG emissions 1.1. Reducing coal consumption through gasification of households in the country (WM)19 1.2. Replacement of light vehicles with internal combustion engines for electric vehicles (WAM) 1.3. Improving Traffic Management and Cycling Infrastructure Development (WM) 1.4. | Sector Energy Goals Target indicators, 1000 tons of CO2 eq. 1. Reduction of GHG emissions 1.1. Reducing coal consumption through gasification of households in the country (WM)19 1.2. Replacement of light vehicles with internal combustion engines for electric vehicles (WAM) 1.3. Improving Traffic Management and Cycling Infrastructure Development (WM) 1.4. Reduction of electricity losses during transmission (WM) 1.5. Reduction of electricity losses during distribution (WM)19 1.6. | [
0,
0
] | [
"Revised First NDC"
] | [
"Improving Traffic Management and Cycling Infrastructure Development",
"Replacement of light vehicles with internal combustion engines for electric vehicles "
] | [
[
null,
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999226332
} | [
0,
2
] | KGZ | Kyrgyzstan | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 20, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 20, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': 'x', 'region': 'Asia', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | Sector Energy Goals Target indicators, 1000 tons of CO2 eq. 1.9. Expansion of the trolleybus fleet by replacing buses with internal combustion engines in Bishkek (WAM) 1.10 Replacement of buses with diesel/gasoline fuel engines by buses with gas-powered engines on suburban routes in Bishkek (WAM) Not estimated (NE) 2. Improvement | Sector Energy Goals Target indicators, 1000 tons of CO2 eq. 1.9. Expansion of the trolleybus fleet by replacing buses with internal combustion engines in Bishkek (WAM) 1.10 Replacement of buses with diesel/gasoline fuel engines by buses with gas-powered engines on suburban routes in Bishkek (WAM) Not estimated (NE) 2. Improvement of energy efficiency 2.1. Scaling up the installation of energy efficient stoves in households (WAM) 2.2. | [
0,
0
] | [
"Revised First NDC"
] | [
"Expansion of the trolleybus fleet by replacing buses with internal combustion engines in Bishkek",
"Replacement of buses with diesel/gasoline fuel engines by buses with gas-powered engines in Bishkek and Osh city, and suburban routes in Bishkek"
] | [
[
null
],
[
null
]
] |
[
0,
3
] | {
"label": "es-ES",
"score": 0.9999598265
} | [
3,
0
] | VEN | Venezuela | [
3,
0
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
3
] | Sector Energía Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Energía Política Pública Impulsar la Eficiencia Energética y el Uso Racional de la Energía. Acción Reglamento Técnico para el Etiquetado de Eficiencia Energética en Televisores. Esta Acción climática apuntala al Fortalecimiento de Capacidades de la Institución en relación a | Sector Energía Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Energía Política Pública Impulsar la Eficiencia Energética y el Uso Racional de la Energía. Acción Reglamento Técnico para el Etiquetado de Eficiencia Energética en Televisores. Esta Acción climática apuntala al Fortalecimiento de Capacidades de la Institución en relación a la disminución de las emisiones (tC02-eq), el cual forma parte de los Gases de Efecto Invernadero (GEI). Año base Se estima reducir 1.350,2 tCO2eq a partir del 2023 al 2030. | [
0,
3
] | [
"Revised First NDC"
] | [
"\"Technical Regulation for the Labeling of Energy Efficiency in Electric Accumulation Heaters.\": \"It is estimated to reduce 2,226 tCO2eq from 2023 to 2030.\"",
"\"Technical Regulation for the Labeling of Energy Efficiency in Televisions.\": \"It is estimated to reduce 1,350.2 tCO2eq from 2023 to 2030.\"",
"\"Technical Regulation for the Labeling of Energy Efficiency in Washing Machines for Domestic Use.\": \"It is estimated to reduce 5,178 tCO2eq from 2023 to 2030\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol6",
"QuestionDefinition": "Emission reduction potential for a given sectoral upstream ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol6",
"QuestionDefinition": "Emission reduction potential for a given sectoral upstream ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
],
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol6",
"QuestionDefinition": "Emission reduction potential for a given sectoral upstream ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
]
] |
[
0,
1
] | {
"label": "es-ES",
"score": 0.9999537468
} | [
1,
0
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sector Energía eléctricos: A/A, refrigeradores y congeladores, desde 2016 hasta el 1er semestre de 2021 se logró disminuir la demanda de energía eléctrica en 668 MW y 1951 GWh en consumo de energía, lo que representó evitar 80.000 Ton CO2e de emisiones de Gases de Efecto Invernadero. Plazos La implementación | Sector Energía eléctricos: A/A, refrigeradores y congeladores, desde 2016 hasta el 1er semestre de 2021 se logró disminuir la demanda de energía eléctrica en 668 MW y 1951 GWh en consumo de energía, lo que representó evitar 80.000 Ton CO2e de emisiones de Gases de Efecto Invernadero. Plazos La implementación de estas políticas con este tipo de programa de reemplazos de equipos eléctricos acondicionadores de aire (A/A) y refrigeradores por equipos eficientes, fue durante un periodo de 5 años, a partir del año 2011, finalizando a mediados del año 2016. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"With the implementation of the Law on rational and efficient use of energy and the Technical Regulations on Energy Efficiency in appliances Electrical: A/C, refrigerators and freezers, from 2016 to 1st half of 2021, the demand for electricity was reduced by 668 MW and 1951 GWh in energy consumption, which meant avoiding 80,000 Tons of CO2e of Greenhouse Gas emissions.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999595881
} | [
0,
1
] | AND | Andorra | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 33, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Sector ODS Mediano plazo (2030) Largo plazo (2050) Energía Movilidad Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 20% y del 30% de la flota de la administración pública. Reducir el 84% de los desplazamientos con vehículo privado en el Valle Central | Sector ODS Mediano plazo (2030) Largo plazo (2050) Energía Movilidad Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 20% y del 30% de la flota de la administración pública. Reducir el 84% de los desplazamientos con vehículo privado en el Valle Central y posicionar la movilidad a pue o vehículos de movilidad personal como los mayoritarios. | [
0,
0
] | [
"Revised First NDC"
] | [
"Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 20% y del 30% de la flota de la administración pública [2030]"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999588728
} | [
1,
0
] | AND | Andorra | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 10, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_ZERO', 'target_year': 2030, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': 'Transport GHG and non-GHG targets', 'target_type': nan, 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Europe', 'parameter': 'T_Transport_O_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 0.0, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.0}"
]
] | [
"IKITracs"
] | [
0,
1
] | Sector ODS Mediano plazo (2030) Largo plazo (2050) Energía Movilidad Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 20%. Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 50%. Reducir a la mitad las emisiones | Sector ODS Mediano plazo (2030) Largo plazo (2050) Energía Movilidad Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 20%. Aumentar el porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 50%. Reducir a la mitad las emisiones derivadas del transporte interno. Edificación Seguir fomentando la rehabilitación de las viviendas para hacerlas más eficientes. | [
0,
0
] | [
"Revised First NDC"
] | [
"la reducción de las emisiones de GEI por el incremento del porcentaje de vehículos a propulsión eléctrica del parque automovilístico nacional de turismos hasta el 20% para el año 2030."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999300241
} | [
0,
1
] | MUS | Mauritius | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': '\\xa0', 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport Infrastructure Resilience', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'R_Infrares', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | Sector Priority Adaptation Actions Infrastructure Protection of infrastructure will be enhanced against climate change calamities Disaster Risk Reduction Strategy Objective is to understand disaster risk, implement disaster risk strategy, strengthen management of related governance and invest in resilience. Coastal Zone Management Improve awareness, enhance rehabilitation and strengthen regulatory framework for | Sector Priority Adaptation Actions Infrastructure Protection of infrastructure will be enhanced against climate change calamities Disaster Risk Reduction Strategy Objective is to understand disaster risk, implement disaster risk strategy, strengthen management of related governance and invest in resilience. Coastal Zone Management Improve awareness, enhance rehabilitation and strengthen regulatory framework for protection of beach, dunes and vegetation. | [
0,
0
] | [
"First NDC"
] | [
"Protection of infrastructure will be enhanced against climate change calamities"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999577999
} | [
0,
1
] | GNQ | Equatorial Guinea | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': 'x', 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Sector Transporte • Adquisición de aeronaves dotadas de alta tecnología; • Una Mejora de la gestión del tráfico aéreo, terrestre y marítimo • Continuación de la modernización de las infraestructuras aeroportuarias, del tráfico rodado y las infraestructuras portuarias; • Fomento del transporte colectivo urbano e interurbano para la reducción de | Sector Transporte • Adquisición de aeronaves dotadas de alta tecnología; • Una Mejora de la gestión del tráfico aéreo, terrestre y marítimo • Continuación de la modernización de las infraestructuras aeroportuarias, del tráfico rodado y las infraestructuras portuarias; • Fomento del transporte colectivo urbano e interurbano para la reducción de Emisiones debidas a la proliferación de transporte individual. 5.2.3. Sector Silvicultura, Agricultura y Cambio de Uso de Suelos • Fomento de una política basada en la ordenación y clasificación de tierras, mediante catastros. | [
0,
0
] | [
"First NDC"
] | [
"Promotion of collective urban and interurban transport for the reduction of Emissions due to the proliferation of individual transport"
] | [
[
null
]
] |
[
1,
0
] | {
"label": "es-ES",
"score": 0.9999542236
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sector Transporte Aéreo - Instituto Nacional de Aeronáutica Civil (INAC) Política Publica El Plan de la Patria, Segundo Plan Socialista de Desarrollo Económico y Social de la Nación, 2013-2019, aprobado como Ley Nacional en 2013, manifiesta la voluntad de transformar el país y contribuir a salvar la vida en el | Sector Transporte Aéreo - Instituto Nacional de Aeronáutica Civil (INAC) Política Publica El Plan de la Patria, Segundo Plan Socialista de Desarrollo Económico y Social de la Nación, 2013-2019, aprobado como Ley Nacional en 2013, manifiesta la voluntad de transformar el país y contribuir a salvar la vida en el planeta hacia un mundo justo y sustentable; organizado sobre bases e instituciones internacionales democráticas. En tal sentido, se desarrolla en su contenido el Objetivo Histórico Nº 5: Contribuir con la preservación de la vida en el planeta y la salvación de la especie humana. | [
0,
1
] | [
"Revised First NDC"
] | [
"organized on democratic international bases and institutions. In this sense, historical Objective No. 5 is developed in its content: To contribute to the preservation of life on the planet and the salvation of the human species. Its implementation is aimed at attacking the main causes of Climate Change.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
1,
0
] | {
"label": "es-ES",
"score": 0.9999588728
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sector Transporte Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Transporte Acuático - Corporación Venezolana de Navegación, S.A. (Venavega) Política Publica Plan de la Patria 2019 - 2025 3.2.5. Articular, mantener y generar un sólido sistema de movilidad nacional, intermodal, eficiente e interconectado, correlacionado con las dinámicas funcionales de | Sector Transporte Eje Mitigación. Actualización CND Proyección 2020 - 2030. Sector Transporte Acuático - Corporación Venezolana de Navegación, S.A. (Venavega) Política Publica Plan de la Patria 2019 - 2025 3.2.5. Articular, mantener y generar un sólido sistema de movilidad nacional, intermodal, eficiente e interconectado, correlacionado con las dinámicas funcionales de especialización económica y flujos actuales y proyectados, sistema urbano regional, así como su sistema de mantenimiento, monitoreo, gestión y componentes industriales del mismo. 3.2.5.2.3. Establecer una política nacional de modernización del sistema de transporte, tecnologías y políticas industriales 5.1.5.1. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Homeland Plan 2019 - 2025\": \"Articulate, maintain and generate a solid national, intermodal, efficient and interconnected mobility system, correlated with the functional dynamics of economic specialization and current and projected flows, regional urban system, as well as its maintenance, monitoring, management and industrial components system, \", \"Establish a national policy for the modernisation of the transport system, technologies and industrial policies\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999533892
} | [
0,
1
] | URY | Uruguay | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 87, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Expansion of infrastructure', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'S_Infraexpansion', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Sector Transporte Para los subsectores del transporte - fluvial, marítimo y aéreo - no se consideran medidas por lo que su demanda de combustibles se mantiene constante e igual a la del año base para todo el periodo de estudio y para los dos escenarios. Para el sector ferroviario se | Sector Transporte Para los subsectores del transporte - fluvial, marítimo y aéreo - no se consideran medidas por lo que su demanda de combustibles se mantiene constante e igual a la del año base para todo el periodo de estudio y para los dos escenarios. Para el sector ferroviario se considera la introducción del ferrocarril central, considerando que operará a capacidad plena en el año 2035. | [
0,
0
] | [
"LTS"
] | [
"Para el sector ferroviario se considera la introducción del ferrocarril central, considerando que operará a capacidad plena en el año 2035."
] | [
[
null
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.999932766
} | [
0,
6
] | ZAF | South Africa | [
0,
6
] | [
[
null,
null,
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
6,
0
] | Sector adaptation plans will be integrated into broader sector plans consistent with relevant sector planning or regulatory legislation. Goal 3: Build the necessary institutional capacity for climate change response planning and implementation for the period 2020 to 2030. | Sector adaptation plans will be integrated into broader sector plans consistent with relevant sector planning or regulatory legislation. Goal 3: Build the necessary institutional capacity for climate change response planning and implementation for the period 2020 to 2030. | [
2,
4
] | [
"First NDC",
"INDC"
] | [
"2020-2030 (3)",
"Adaptation objectives and planning for implementation: \"Build the necessary institutional capacity for climate change response planning and implementation for the period 2020 to 2030\" (3)",
"Build the necessary institutional capacity for climate change response planning and implementation for the period 2020 to 2030"
] | [
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Monitoring and Evaluation System"
}
],
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999145269
} | [
0,
4
] | TGO | Togo | [
0,
4
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
4,
0
] | Sector of forestry and the fight against land degradation: National Programme for Decentralised Operations in Environmental Management (PNADE); National Programme for Investments in the Environment and Natural Resources (PNIE-RN); Project to strengthen the role of conservation of the national system of protected areas in Togo; Tcp/tog/3403 – Support for the | Sector of forestry and the fight against land degradation: National Programme for Decentralised Operations in Environmental Management (PNADE); National Programme for Investments in the Environment and Natural Resources (PNIE-RN); Project to strengthen the role of conservation of the national system of protected areas in Togo; Tcp/tog/3403 – Support for the development and community-based restoration of gallery forests and forests of village lands in the plateau region; Support for the formulation and implementation of Togo’s National Reforestation Programme (PRO); Support for reducing emissions linked to deforestation and the degradation of forests (REDD+readiness) and the rehabilitation of forests in Togo (ProREDD+); PRODRA, the Programme for Rural Development and Agriculture; and the Project for integrated disaster and land management (PGICT). | [
4,
0
] | [
"INDC"
] | [
"National Programme for Decentralised Operations in Environmental Management (PNADE)",
"National Programme for Investments in the Environment and Natural Resources (PNIE-RN)",
"Project for integrated disaster and land management (PGICT)",
"Support for the formulation and implementation of Togo‘s National Reforestation Programme (PRO)"
] | [
[
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
}
],
[
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
]
] |
[
2,
4
] | {
"label": "en-US",
"score": 0.9999287128
} | [
4,
2
] | MNG | Mongolia | [
6,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
6
] | Sector. Measure. Policy/strategy document. Energy (power and heat). Increase renewable electricity capacity from 7.62% in 2014 to 20% by 2020 and to 30% by 2030 as a share of total electricity generation capacity. State policy on energy (Parliament resolution No. 63, 2015), Greendevelopment policy, 2014. Reduce electricity transmission losses from | Sector. Measure. Policy/strategy document. Energy (power and heat). Increase renewable electricity capacity from 7.62% in 2014 to 20% by 2020 and to 30% by 2030 as a share of total electricity generation capacity. State policy on energy (Parliament resolution No. 63, 2015), Greendevelopment policy, 2014. Reduce electricity transmission losses from 13.7% in 2014 to 10.8% by 2020 and to 7.8% by 2030. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"-10.8% in electricity transmission losses by 2020 and 7.8% reduction by 2030",
"20% renewables by 2020 and 30% renewables by 2030 as a share of total electricity generation capacity",
"State policy on energy (Parliament resolution No. 63, 2015), Green development policy, 2014",
"-10.8% in electricity transmission losses by 2020 and 7.8% reduction by 2030",
"20% renewables by 2020 and 30% renewables by 2030 as a share of total electricity generation capacity",
"State policy on energy (Parliament resolution No. 63, 2015), Green development policy, 2014"
] | [
[
{
"Alpha2": "MN",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Grid/energy loss reduction"
}
],
[
{
"Alpha2": "MN",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "MN",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "MN",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Grid/energy loss reduction"
}
],
[
{
"Alpha2": "MN",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "MN",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999041557
} | [
0,
1
] | BDI | Burundi | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sectoral Strategy for the Energy Sector in Burundi (2011) National Environment Strategy (SNEB, 1997). Land use and forestry. National Forestry Policy of Burundi (2012) National Strategy and Action Plan for Biodiversity (2013-2020). Agriculture. National Agricultural Strategy, 2008-2015 (2008) National Sustainable Land Use Strategy (2007) National Action Programme to Fight Land | Sectoral Strategy for the Energy Sector in Burundi (2011) National Environment Strategy (SNEB, 1997). Land use and forestry. National Forestry Policy of Burundi (2012) National Strategy and Action Plan for Biodiversity (2013-2020). Agriculture. National Agricultural Strategy, 2008-2015 (2008) National Sustainable Land Use Strategy (2007) National Action Programme to Fight Land Degradation (2005) National Strategy and Action Plan to Fight Soil Degradation (2011-2016) National Agricultural Investment Plan (2012-2017). | [
0,
1
] | [
"INDC"
] | [
"National Sustainable Land Use Strategy (2007)"
] | [
[
{
"Alpha2": "BI",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_Pol",
"QuestionDefinition": "Sectoral plans and strategies for adaptation.",
"QuestionText": "Sectoral Policies",
"Sector": "Agriculture",
"SubSector": "Land and soil management"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999309778
} | [
0,
4
] | MMR | Myanmar | [
0,
4
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
4,
0
] | Sectoral actions: Ministries are streamlining adaptation to climate change in their planning. The agriculture sector is implementing climate smart agriculture approaches through implementation actions such as legume crops diversification, measures in the agro-forestry sector and systematic control of soil quality and irrigation water. In addition, Myanmar is working to reduce | Sectoral actions: Ministries are streamlining adaptation to climate change in their planning. The agriculture sector is implementing climate smart agriculture approaches through implementation actions such as legume crops diversification, measures in the agro-forestry sector and systematic control of soil quality and irrigation water. In addition, Myanmar is working to reduce climate change vulnerability and reduce poverty in rural areas and for subsistence farmers as a priority. Crop varieties are being researched with the involvement of universities, research institutions and local communities across the country for example. | [
4,
0
] | [
"First NDC",
"INDC"
] | [
"“Myanmar is working to reduce climate change vulnerability and reduce poverty in rural areas and for subsistence farmers as a priority. (p. 10)",
"“The agriculture sector is implementing climate smart agriculture approaches through implementation actions such as legume crops diversification, measures in the agro-forestry sector and systematic control of soil quality and irrigation water.” (p. 10)",
"Climate Smart Agriculture approaches through implementation actions such as legume crops diversification, measures in the agro-forestry sector.",
"Reduce climate change vulnerability and reduce poverty in rural areas and for subsistence farmers as a priority."
] | [
[
{
"Alpha2": "MM",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Social Development",
"SubSector": "Poverty reduction"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Social Development",
"SubSector": "Poverty reduction"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999301434
} | [
0,
1
] | VUT | Vanuatu | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sectoral data for GHG estimation compiled from various sources primarily using national data collected from annual reports, statistical reports, studies and brochures of related department/institutions. The projections of emissions data to 2010 was reported in the SNC from similar data sources as the 2000 data and has a similar uncertainty | Sectoral data for GHG estimation compiled from various sources primarily using national data collected from annual reports, statistical reports, studies and brochures of related department/institutions. The projections of emissions data to 2010 was reported in the SNC from similar data sources as the 2000 data and has a similar uncertainty analysis. | [
0,
1
] | [
"First NDC"
] | [
"Developing new technologies for health adaptation (vaccines, data, AI, heat related, vector-borne diseases)"
] | [
[
{
"Alpha2": "VU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
]
] |
[
0,
7
] | {
"label": "en-US",
"score": 0.9999053478
} | [
0,
7
] | ALB | Albania | [
0,
7
] | [
[
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
7,
0
] | Sectoral vulnerability factors. Risks for the sector. Settlements. Infrastructure and built environment. Flatness of coastal area. Density of housing, buildings, infrastructure, agricultural land and historic/cultural sites on the coast. Occupation of particularly flood and erosion high-prone coastal areas. Limited flood prevention infrastructure. Poor maintenance of flood prevention infrastructure. Erosion related | Sectoral vulnerability factors. Risks for the sector. Settlements. Infrastructure and built environment. Flatness of coastal area. Density of housing, buildings, infrastructure, agricultural land and historic/cultural sites on the coast. Occupation of particularly flood and erosion high-prone coastal areas. Limited flood prevention infrastructure. Poor maintenance of flood prevention infrastructure. Erosion related to limited sediments from dammed rivers. Infrastructure and built environment. Disasters cause settlements to lose access to essential services such as shelter, electricity, drinking water, transport, health and educational facilities, industries, touristic infrastructure, etc. | [
0,
7
] | [
"Revised First NDC"
] | [
"Infrastructure"
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999277592
} | [
0,
1
] | LSO | Lesotho | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sectorally, there is an inadequate adaptation capabilities in the sectors such as Energy, Agriculture, Land Use, Land Use Changes and Forestry, Health, Water and in the aspects of data collection, processing and provision by the sectors. Consequently, there is need to:. build capacity of experts and stakeholders in the preparation, | Sectorally, there is an inadequate adaptation capabilities in the sectors such as Energy, Agriculture, Land Use, Land Use Changes and Forestry, Health, Water and in the aspects of data collection, processing and provision by the sectors. Consequently, there is need to:. build capacity of experts and stakeholders in the preparation, data collection to enhance information management, ownership, information exchange, dissemination and information sharing within and across sectors;. | [
1,
0
] | [
"INDC"
] | [
"Build capacity of experts and stakeholders in the preparation, data collection to enhance information management, ownership, information exchange, dissemination and information sharing within and across sectors."
] | [
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999336004
} | [
0,
3
] | MDA | Republic of Moldova | [
0,
3
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 45, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport Planning', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'R_Planning', 'mode_private_cars': nan, 'category': 'Institutional and Regulatory', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 45, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Resilient transport technologies ', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'R_Tech', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 45, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport Infrastructure Resilience', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'R_Infrares', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
3,
0
] | Sectors Sectorial adaptation priorities Main activities and actions in support of adaptation priorities - Carry out research on the design and development of advanced materials and technologies aimed at increasing the resistance of roads, railways, aerodromes, ports to climate hazards; - Adjust urban and land-use planning to future climate change-related | Sectors Sectorial adaptation priorities Main activities and actions in support of adaptation priorities - Carry out research on the design and development of advanced materials and technologies aimed at increasing the resistance of roads, railways, aerodromes, ports to climate hazards; - Adjust urban and land-use planning to future climate change-related risks for transport infrastructure (roads, bridges, railways, waterways, aerodromes); - Promote funding schemes to support climate action that fit specific transport sector related needs, geographic area, other specifics. | [
0,
0
] | [
"Revised First NDC"
] | [
"Adjust urban and land-use planning to future climate change-related risks for transport infrastructure (roads, bridges, railways, waterways, aerodromes)",
"Carry out research on the design and development of advanced materials and technologies aimed at increasing the resistance of roads, railways, aerodromes, ports to climate hazards",
"Promote funding schemes to support climate action that fit specific transport sector related needs, geographic area, other specifics."
] | [
[
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999235868
} | [
1,
0
] | MDA | Republic of Moldova | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BYE', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Europe', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 9.22915436711867, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 2.4328218}"
]
] | [
"IKITracs"
] | [
0,
1
] | Sectors covered: energy; industrial processes and product use; agriculture; land use, land-use change and forestry; and waste. Reduction level The Republic of Moldova is committed to an unconditional target of a 64-67 per cent reduction of its greenhouse gas emissions by 2030 compared to 1990 levels. The 64 per cent | Sectors covered: energy; industrial processes and product use; agriculture; land use, land-use change and forestry; and waste. Reduction level The Republic of Moldova is committed to an unconditional target of a 64-67 per cent reduction of its greenhouse gas emissions by 2030 compared to 1990 levels. The 64 per cent reduction corresponds to a self-sufficiency power system development scenario, while the 67 per cent reduction allows for a 30 per cent import of electricity. | [
0,
0
] | [
"First NDC"
] | [
"64-67% reduction by 2030 compared to 1990 levels"
] | [
[
null
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9998509884
} | [
0,
5
] | ZAF | South Africa | [
0,
5
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
0
] | Sectors covered; Water, Agriculture, Forestry, Energy, Settlements, Biodiversity, Disaster Risk Reduction (DRR). Estimated annual costs range(s):From 1971-2000:$US 0.4 bn to $US22.8 bn with a median value of $US2.8 bnFrom 2020-2030:Low mitigation scenario: $US 0.42 bn - $US 30.8 bn with a median value of $US2.9bn;Moderate-High mitigation scenario: $US 3.4 bn | Sectors covered; Water, Agriculture, Forestry, Energy, Settlements, Biodiversity, Disaster Risk Reduction (DRR). Estimated annual costs range(s):From 1971-2000:$US 0.4 bn to $US22.8 bn with a median value of $US2.8 bnFrom 2020-2030:Low mitigation scenario: $US 0.42 bn - $US 30.8 bn with a median value of $US2.9bn;Moderate-High mitigation scenario: $US 3.4 bn - $US 29.8 bn with a median value of $2.8bn From 2020-2050:Low mitigation scenario: US$ 0.2 bn - $US 53.1 bn with a median value of $US3bn High mitigation scenario: $US 0.2 bn– $US 50.0 bn with a median value of $US50 bn. | [
0,
5
] | [
"First NDC"
] | [
"\"From 1971-2000: $US 0.4 bn to $US 22.8 bn with a median value of $US2.8 bn\" (5)",
"From 2020-2030: Low mitigation scenario: $US 0.42 bn - $US 30.8 bn with a median value of $US2.9bn",
"From 2020-2050: Low mitigation scenario: US$ 0.2 bn - $US 53.1 bn with a median value of $US3bn",
"High mitigation scenario: $US 0.2 bn– $US 50.0 bn with a median value of $US50 bn\" (5)",
"Moderate-High mitigation scenario: $US 3.4 bn - $US 29.8 bn with a median value of $2.8bn"
] | [
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "ZA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999144077
} | [
0,
6
] | CAF | Central African Republic | [
0,
6
] | [
[
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
6,
0
] | Sectors of priority activities: Agriculture and food security, forestry, energy, public health, water resources and land-use planning. Adaptation options: Adjustment of the policy framework, improved knowledge of resilience to climate change, sustainable management of the agricultural, forestry and animal husbandry systems, land-use planning, improvement and development of basic infrastructures, guarantee | Sectors of priority activities: Agriculture and food security, forestry, energy, public health, water resources and land-use planning. Adaptation options: Adjustment of the policy framework, improved knowledge of resilience to climate change, sustainable management of the agricultural, forestry and animal husbandry systems, land-use planning, improvement and development of basic infrastructures, guarantee of energy security, improvement of public health systems, improvement of waste management and sustainable management of water resources. | [
0,
6
] | [
"First NDC"
] | [
"Embedding NbS into adaptation planning and policy"
] | [
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Land degradation"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999248981
} | [
1,
0
] | MRT | Mauritania | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Sectors taken into account: Energy, Agriculture, Forestry and Land Use, Industrial Processes and Use of Products and Waste. Gases involved: CO2, CH4, N2O. Evaluation methodology: IPCC 2006. Objective of the mitigation contribution: Reduction of GHG emissions in the target year (2030) compared to projected emissions in the same year in | Sectors taken into account: Energy, Agriculture, Forestry and Land Use, Industrial Processes and Use of Products and Waste. Gases involved: CO2, CH4, N2O. Evaluation methodology: IPCC 2006. Objective of the mitigation contribution: Reduction of GHG emissions in the target year (2030) compared to projected emissions in the same year in the normal course of business scenario. Target reduction level in 2030: 22.3%. Cumulative emission reductions for the period 2020-2030: 33.56 million tons of carbon dioxide equivalent. Contribution type: Conditional 88% and Non-Conditional 12%. Financing Requirements:$ 17.6 billion, including:. | [
0,
1
] | [
"First NDC"
] | [
"33.56 MtCO2eq (2020-2030)"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999265671
} | [
1,
0
] | MDG | Madagascar | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Low-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 4.1987633172, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 1.229994681}"
]
] | [
"IKITracs"
] | [
0,
1
] | Sectors Energy; Agriculture; LULUCF; Waste. By 2030, the Republic of Madagascar has set up an emission reduction contribution of at least 14% of its GHG, compared to the BAU scenario, and an increase of GHG absorption of at least 32% compared to the BAU scenario. | Sectors Energy; Agriculture; LULUCF; Waste. By 2030, the Republic of Madagascar has set up an emission reduction contribution of at least 14% of its GHG, compared to the BAU scenario, and an increase of GHG absorption of at least 32% compared to the BAU scenario. | [
0,
0
] | [
"First NDC"
] | [
"14% below 2030 BAU scenario, and an increase of GHG absorption of at least 32% compared to BAU scenario"
] | [
[
null
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999275208
} | [
6,
0
] | VUT | Vanuatu | [
6,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
6
] | Sectors: Mainly electricity generation sub-sector but with ancillary mitigation possible in forestry, agriculture, transport and energy efficiency sector wide. The key planned mitigation interventions include:. Doubling of the wind installed capacity to 5.5 MW by 2025. Installing 10 MW grid connected solar PV by 2025. Commissioning the proposed first stage | Sectors: Mainly electricity generation sub-sector but with ancillary mitigation possible in forestry, agriculture, transport and energy efficiency sector wide. The key planned mitigation interventions include:. Doubling of the wind installed capacity to 5.5 MW by 2025. Installing 10 MW grid connected solar PV by 2025. Commissioning the proposed first stage 4 MW Geothermal plant by 2025. Adding 10 MW grid connected solar PV by 2030. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"Adding 10 MW grid connected solar PV by 2030",
"Double wind capacity to 5.5 MW by 2025",
"Install 10 MW grid connected solar PV by 2025",
"Adding 10 MW grid connected solar PV by 2030",
"Double wind capacity to 5.5 MW by 2025",
"Install 10 MW grid connected solar PV by 2025"
] | [
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
]
] |
[
0,
13
] | {
"label": "en-US",
"score": 0.9999336004
} | [
0,
13
] | TCD | Chad | [
0,
13
] | [
[
null
],
[
null,
null
],
[
null
],
[
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
13,
0
] | Secure animal and fishery production and promote associations. 118,792,000. 1,000,000,000. Support development of fishing resources. 14,616,000. 24,795,400. Develop of renewable energies for the agriculture and pastoral sectors. 2,890,146. 19,267,642. Reinforce cloud-seeding operations to compensate for the rainfall deficit in agriculture. 18,000. 24,000,000. Strengthen meteorological and climate networks and improve weather | Secure animal and fishery production and promote associations. 118,792,000. 1,000,000,000. Support development of fishing resources. 14,616,000. 24,795,400. Develop of renewable energies for the agriculture and pastoral sectors. 2,890,146. 19,267,642. Reinforce cloud-seeding operations to compensate for the rainfall deficit in agriculture. 18,000. 24,000,000. Strengthen meteorological and climate networks and improve weather and climate forecasting tools. 10,000,000. 24,000,000. Communication relating to climate risks and adaptation scenarios. 1,000,000. 22.584,300. | [
11,
2
] | [
"First NDC",
"INDC"
] | [
"\"Communication relating to climate risks and adaptation scenarios\" (12)",
"\"Develop of renewable energies for the agriculture and pastoral sectors\" (12)",
"\"Reinforce cloud-seeding operations to compensate for the rainfall deficit in agriculture\" (12)",
"\"Strengthen meteorological and climate networks and improve weather and climate forecasting tools\" (12)",
"\"Support development of fishing resources\" (12)",
"24,000,000 (12)",
"Communication relating to climate risks and adaptation scenarios.",
"Develop of renewable energies for the agriculture and pastoral sectors.",
"Reinforce cloud-seeding operations to compensate for the rainfall deficit in agriculture.",
"Strengthen meteorological and climate networks and improve weather and climate forecasting tools.",
"Support development of fishing resources."
] | [
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Energy",
"SubSector": "Renewable energy"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Energy",
"SubSector": "Renewable energy"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999252558
} | [
0,
5
] | LSO | Lesotho | [
0,
5
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
0
] | Securing Village Water Supply for Communities in the Southern Lowlands. Management and Reclamation of Degraded and Eroded Land in the Flood Prone Areas (Pilot Project for Western Lowlands). Conservation and Rehabilitation of Degraded Wetlands in the Mountain Areas of Lesotho. Improvement of Community Food Security Through the Promotion of Food | Securing Village Water Supply for Communities in the Southern Lowlands. Management and Reclamation of Degraded and Eroded Land in the Flood Prone Areas (Pilot Project for Western Lowlands). Conservation and Rehabilitation of Degraded Wetlands in the Mountain Areas of Lesotho. Improvement of Community Food Security Through the Promotion of Food Processing and Preservation Technologies. Strengthening and stabilizing eco-tourism based rural livelihoods. | [
5,
0
] | [
"First NDC"
] | [
"Environment: “Management and Reclamation of Degraded and Eroded Land in the Flood Prone Areas” (p. 12) (Conditional)",
"“Conservation and Rehabilitation of Degraded Wetlands in the Mountain Areas of Lesotho” (p. 9)",
"“Improvement of Community Food Security Through the Promotion of Food Processing and Preservation Technologies” (p. 9)",
"“Management and Reclamation of Degraded and Eroded Land in the Flood Prone Areas (Pilot Project for Western Lowlands)” (p. 9)",
"“Securing Village Water Supply for Communities in the Southern Lowlands” (p. 9)"
] | [
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Land degradation"
}
],
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Wetlands"
}
],
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Food security"
}
],
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Land degradation"
}
],
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water supply"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999328852
} | [
0,
1
] | GUY | Guyana | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | See Annex 1. Means of Implementation. Implementation of Guyana’s iNDC is estimated at US$ (to be determined) divided between the forestry, energy, and adaptation activities (shown in the Annex). ANNEX 1 - ADAPTATION. Contributions. Unconditional contributions. | See Annex 1. Means of Implementation. Implementation of Guyana’s iNDC is estimated at US$ (to be determined) divided between the forestry, energy, and adaptation activities (shown in the Annex). ANNEX 1 - ADAPTATION. Contributions. Unconditional contributions. | [
0,
1
] | [
"First NDC"
] | [
"Financing Adaptation"
] | [
[
{
"Alpha2": "GY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
]
] |
[
0,
10
] | {
"label": "en-US",
"score": 0.9999220371
} | [
8,
2
] | CAF | Central African Republic | [
0,
10
] | [
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
10,
0
] | See Mitigation-AFOLU. Development of agricultural research adaptive to climate change. Develop by 2030 varieties of food crops adapted to water stress and/or temperature in the Center and North regions of the CAR, in favor of the most vulnerable communities: Cassava; peanut; corn ; rice ; sesame (at least 10 varieties). | See Mitigation-AFOLU. Development of agricultural research adaptive to climate change. Develop by 2030 varieties of food crops adapted to water stress and/or temperature in the Center and North regions of the CAR, in favor of the most vulnerable communities: Cassava; peanut; corn ; rice ; sesame (at least 10 varieties). | [
2,
8
] | [
"Revised First NDC"
] | [
"Develop by 2030 varieties of food crops adapted to water stress and/or temperature in the Center and North regions of the CAR, in favor of the most vulnerable communities: Cassava",
"Option 1.2 [Agriculture and Livestock]: “Development of adaptive agricultural research to climate change” (p. 25)",
"peanut",
"rice",
"sesame (at least 10 varieties)"
] | [
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
6,
0
] | {
"label": "en-US",
"score": 0.9993643165
} | [
0,
6
] | CPV | Cape Verde | [
6,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
6
] | Seek to further develop and implement the water and sanitation master plans (“Planos Diretores de Água e Saneamento - PDAS”), as well as regulate and implement the new Water and Sanitation Code; and. Seek to improve governance, institutional and technical capacities by:. collecting and organizing relevant data on waste generation;. | Seek to further develop and implement the water and sanitation master plans (“Planos Diretores de Água e Saneamento - PDAS”), as well as regulate and implement the new Water and Sanitation Code; and. Seek to improve governance, institutional and technical capacities by:. collecting and organizing relevant data on waste generation;. designing an inter-municipal integrated waste management system; and. capacitating the public sector to engage with private sector operators and technology providers. Adaptation contributions. Key strategic axes. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"Capacitating the public sector to engage with private sector operators and technology providers",
"Collecting and organizing relevant data on waste generation",
"Designing an inter-municipal integrated waste management system",
"Capacitating the public sector to engage with private sector operators and technology providers",
"Collecting and organizing relevant data on waste generation",
"Designing an inter-municipal integrated waste management system"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol8",
"QuestionDefinition": "Capacity building needed for a given sectoral upstream policy",
"QuestionText": "Capacity building needs",
"Sector": "Waste",
"SubSector": "Waste: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol8",
"QuestionDefinition": "Capacity building needed for a given sectoral upstream policy",
"QuestionText": "Capacity building needs",
"Sector": "Waste",
"SubSector": "Waste: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct8",
"QuestionDefinition": "Technology needed for a given sectoral downstream action ",
"QuestionText": "Technology needs",
"Sector": "Waste",
"SubSector": "Waste: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol8",
"QuestionDefinition": "Capacity building needed for a given sectoral upstream policy",
"QuestionText": "Capacity building needs",
"Sector": "Waste",
"SubSector": "Waste: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol8",
"QuestionDefinition": "Capacity building needed for a given sectoral upstream policy",
"QuestionText": "Capacity building needs",
"Sector": "Waste",
"SubSector": "Waste: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct8",
"QuestionDefinition": "Technology needed for a given sectoral downstream action ",
"QuestionText": "Technology needs",
"Sector": "Waste",
"SubSector": "Waste: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999366999
} | [
0,
2
] | CPV | Cape Verde | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | Seek to increase urban resilience by developing master plans for rainwater drainage, improving and extending drainage infrastructure, and implementing flood management systems in vulnerable areas. Adaptive capacity of agro- silvo- pastoral production and promotion of blue economy. | Seek to increase urban resilience by developing master plans for rainwater drainage, improving and extending drainage infrastructure, and implementing flood management systems in vulnerable areas. Adaptive capacity of agro- silvo- pastoral production and promotion of blue economy. | [
1,
1
] | [
"First NDC"
] | [
"Infrastructure",
"Water and sanitation management: \"Seek to increase urban resilience by developing master plans for rainwater drainage, improving and extending drainage infrastructure, and implementing flood management systems in vulnerable areas"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water management"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999254942
} | [
2,
0
] | CPV | Cape Verde | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | Seek to reduce overall energy demand by 20% in relation to the Base Scenario by 2030, with best efforts to achieve this indicative reduction effort already by 2025. To achieve this goal, the following key measures are envisaged:seeking to reduce the proportion of technical and non- technical losses in energy | Seek to reduce overall energy demand by 20% in relation to the Base Scenario by 2030, with best efforts to achieve this indicative reduction effort already by 2025. To achieve this goal, the following key measures are envisaged:seeking to reduce the proportion of technical and non- technical losses in energy distribution from about 25% in 2010 to less than 8% by 2030 or before;. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"Reduce losses in energy distribution to less than 8% by 2030",
"Reduce losses in energy distribution to less than 8% by 2030"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Grid/energy loss reduction"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Grid/energy loss reduction"
}
]
] |
[
0,
39
] | {
"label": "en-US",
"score": 0.9999227524
} | [
0,
39
] | SEN | Senegal | [
0,
39
] | [
[
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null
],
[
null,
null,
null
],
[
null
],
[
null
],
[
null,
null,
null,
null
],
[
null,
null,
null,
null
],
[
null,
null
],
[
null,
null,
null
],
[
null,
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
39,
0
] | Senegal s climate change adaptation financing needs over the period amount to approximately US $ 4.3 billion, including US 1.4 billion unconditional and US 2.9 billion conditional (Table 4). Table 18: Funding needs for adaptation to change. FINANCING NEEDS (US dollar). Sectors. Unconditional (1). Conditional (2). Total (1+2). Agriculture. 169 | Senegal s climate change adaptation financing needs over the period amount to approximately US $ 4.3 billion, including US 1.4 billion unconditional and US 2.9 billion conditional (Table 4). Table 18: Funding needs for adaptation to change. FINANCING NEEDS (US dollar). Sectors. Unconditional (1). Conditional (2). Total (1+2). Agriculture. 169 366 600. 513 581 286. 682 947 886. Breeding. 150 721 824. 251 305 352. 402 027 176. Peach. | [
0,
39
] | [
"First NDC"
] | [
"Agriculture as a whole in US dollar: 169,366,600 (42)",
"Agriculture as a whole in US dollar: 513,581,286 (42)",
"Biodiversity as a whole in US dollar: 15,490,000 (42)",
"Biodiversity as a whole in US dollar: 202,540,000 (42)",
"Breeding as a whole in US dollar: 150,721,824 (42)",
"Breeding as a whole in US dollar: 251,305,353 (42)",
"Financing Adaptation",
"Fishing as a whole in US dollar: 238,200,000(42)",
"Fishing as a whole in US dollar: 39,800,000 (42)",
"Health as a whole in US dollar: 175,351,803 (42)",
"Health as a whole in US dollar: 325,653,347 (42)"
] | [
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Crops"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Crops"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Land and soil management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Land and soil management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Coastal Zone",
"SubSector": "Mangroves"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
},
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Coastal Zone",
"SubSector": "Mangroves"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
],
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999331236
} | [
0,
2
] | DOM | Dominican Republic | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | Sensitization of decision makers at all levels in key government institutions, the private sector and the media to prioritize climate change on the national agenda. Public awareness and training of community multipliers to increase capacities for climate risk management and adaptation to climate change. d. Public access to information. Through | Sensitization of decision makers at all levels in key government institutions, the private sector and the media to prioritize climate change on the national agenda. Public awareness and training of community multipliers to increase capacities for climate risk management and adaptation to climate change. d. Public access to information. Through the legal framework instituted with the promulgation of the General Law of Free Access to Public Information Law 200-04 and Decree No. | [
2,
0
] | [
"Revised First NDC"
] | [
"Public awareness ACE: \"Awareness of desicion-makers in all levels of key government institutions, in the private sector and in communication methods to prioritize climate change in national agenda\" (70).",
"Public awareness ACE: \"Public awareness and formation of community mutlipliers to increase the capacity of climate risk management and climate change adaptation\" (70)."
] | [
[
{
"Alpha2": "DO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "DO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999321699
} | [
1,
0
] | PAK | Pakistan | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Sensitization sessions conducted Provide alternative livelihood opportunities to disaster- affected communities to manage forced migrations Number of livelihood options designed Undertake special programs on income generating activities for women during and after disasters Number of women earning income Waste Sector Improve waste management and recycling practices Increase women awareness regarding | Sensitization sessions conducted Provide alternative livelihood opportunities to disaster- affected communities to manage forced migrations Number of livelihood options designed Undertake special programs on income generating activities for women during and after disasters Number of women earning income Waste Sector Improve waste management and recycling practices Increase women awareness regarding waste management and recycling through targeted initiatives Number of awareness sessions Encourage women in decision-making positions in municipal waste management Number of women represented in decision- making forums Women’s access to credit, finance and services for waste management and recycling entrepreneurship Number of women accessing credit PAKISTAN: UPDATED NATIONALLY DETERMINED CONTRIBUTIONS 2021 Pilot biogas technology amongst women farmers to deal with agricultural waste Number of pilots Health Ensure targeted health initiatives regarding women health, hygiene and WASH services Increase women’s awareness regarding health issues and agendas through a One-Health lens Number of awareness sessions Targeted training of women in livestock management and agricultural practices under a OneHealth program Number of women trained Take measures to improve the access of women to medical services in emergencies Number of actions operationalized Research, and Knowledge Management Institutionalize gender-sensitive benefit- sharing mechanism Gendered impact of various strategies, plans and projects collected Gendered MRV mechanism to gather data developed Mapping of impacts of climate change and its gender dimension through case-studies Number of case studies Develop different funding scenarios for integration of gender issues in agriculture, forestry, water and waste sector programs Number of funding proposals submitted Strengthen research on the linkages between climate change/gender, disasters and health Number of research and policy papers Introduce Social Environmental Impact Assessments (SEIAs) to collect and present data in a sex-disaggregated manner as a part of Environmental Impact Assessment (EIA) regulations to address gender considerations SEIA integrated as part of EIA PAKISTAN: UPDATED NATIONALLY DETERMINED CONTRIBUTIONS 2021 6.2 YOUTH & VOLUNTEER ENGAGEMENT Pakistan is a young nation, with 68% of Pakistanis below the age of 30, and 27% aged between 15 and 29. | [
0,
1
] | [
"Revised First NDC"
] | [
"Number of research studies conducted"
] | [
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9998996258
} | [
0,
1
] | JOR | Jordan | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Expansion of infrastructure', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Infraexpansion', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Serious measures are being taken to implement the national railway system, which would be a cornerstone of the planned multimodal network that would play a major role in the ease of the transport of goods within the country and the surrounding region. With such system in place, the reductions of | Serious measures are being taken to implement the national railway system, which would be a cornerstone of the planned multimodal network that would play a major role in the ease of the transport of goods within the country and the surrounding region. With such system in place, the reductions of emissions from these activities are obvious. | [
0,
0
] | [
"First NDC"
] | [
"Implement the railway system, which would be a cornerstone of the planned multimodal network and would play a major role in the transport of goods within the country and the surrounding region"
] | [
[
null
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999326468
} | [
2,
2
] | SWZ | Eswatini | [
4,
0
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | Servicing best practices that allow recovery and reuse of refrigerants and. Recovery and reuse of refrigerants contained in disposed equipment. 4.4 AFOLU. In the AFOLU sector Eswatini commits to move from Tier 1 to Tier 2 16GHG inventory and improve data collection and institutional arrangements by 2030. | Servicing best practices that allow recovery and reuse of refrigerants and. Recovery and reuse of refrigerants contained in disposed equipment. 4.4 AFOLU. In the AFOLU sector Eswatini commits to move from Tier 1 to Tier 2 16GHG inventory and improve data collection and institutional arrangements by 2030. | [
2,
2
] | [
"Revised First NDC"
] | [
"Recovery and reuse of refrigerants contained in disposed equipment.\"",
"Servicing best practices that allow recovery and reuse of refrigerants and"
] | [
[
{
"Alpha2": "SZ",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Industries",
"SubSector": "HFCs"
},
{
"Alpha2": "SZ",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Industries",
"SubSector": "HFCs"
}
],
[
{
"Alpha2": "SZ",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Industries",
"SubSector": "HFCs"
},
{
"Alpha2": "SZ",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Industries",
"SubSector": "HFCs"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999359846
} | [
0,
1
] | FRA | France | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 73, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'Vehicle efficiency standards', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Vehicleeff', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | Set ambitious energy efficiency targets at national level and take these to the European level, in order to decrease pressure on carbon-free resources created by the carbon neutrality goal. for cars, aim for an actual consumption level of: ▪ Approximately 4 l/100 km for new thermal vehicles sold after 203071; | Set ambitious energy efficiency targets at national level and take these to the European level, in order to decrease pressure on carbon-free resources created by the carbon neutrality goal. for cars, aim for an actual consumption level of:
▪ Approximately 4 l/100 km for new thermal vehicles sold after 203071;
▪ 12.5 kWh/100 km for new electric vehicles by 2050;
◦ for heavy goods vehicles, aim for a consumption in 2040 of:
▪ 21 l/100 km for new vehicles running on diesel;
▪ 15 kg/100 km for new vehicles running on natural gas for vehicles (NGV);
▪ 129 kWh/100 km for vehicles running on electricity. | [
0,
0
] | [
"LTS"
] | [
"Set ambitious energy efficiency targets at national level and take these to the European level, in order to decrease pressure on carbon-free resources created by the carbon neutrality goal. for cars, aim for an actual consumption level of:\n▪ Approximately 4 l/100 km for new thermal vehicles sold after 203071;\n▪ 12.5 kWh/100 km for new electric vehicles by 2050;\n◦ for heavy goods vehicles, aim for a consumption in 2040 of:\n▪ 21 l/100 km for new vehicles running on diesel;\n▪ 15 kg/100 km for new vehicles running on natural gas for vehicles (NGV);\n▪ 129 kWh/100 km for vehicles running on electricity."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999246597
} | [
1,
0
] | JPN | Japan | [
0,
1
] | [
[
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 1, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2050, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': nan, 'target_type': nan, 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 'G7', 'mena': 0, 'region': 'Asia', 'parameter': 'T_Longterm', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 1153.71698398869, 'ghg_transport_target_type': nan, 'g20': 'G20', 'target_scope': nan, 'ghg_transport': 187.234888849}"
]
] | [
"IKITracs"
] | [
0,
1
] | Set as an ambitious target which is aligned with the long-term goal of achieving net-zero by 2050, Japan’s new goal will certainly not be an easy task as Japan would raise its previous target by over 70 percent. Nonetheless, as a nation which underpins manufacturing in the world, Japan is | Set as an ambitious target which is aligned with the long-term goal of achieving net-zero by 2050, Japan’s new goal will certainly not be an easy task as Japan would raise its previous target by over 70 percent. Nonetheless, as a nation which underpins manufacturing in the world, Japan is ready to demonstrate its leadership for world-wide decarbonization by defining a top-level ambitious target befitting to a next growth strategy. | [
0,
0
] | [
"Revised First NDC"
] | [
"long-term goal of achieving net-zero by 2050"
] | [
[
null
]
] |
[
0,
11
] | {
"label": "en-US",
"score": 0.9999369383
} | [
0,
11
] | LBR | Liberia | [
0,
11
] | [
[
null,
null
],
[
null,
null,
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
11,
0
] | Set up an initiative to explore innovative financing models for ecosystem-based adaptation in forests, coastal zones, and urban green corridors, as well as climate-resilient practices for agriculture, fisheries, and aquaculture by 2025 (Linked to Mitigation target). Integrate gender-sensitive considerations into existing climate change policies by 2025. 4.0 MONITORING, REPORTING AND | Set up an initiative to explore innovative financing models for ecosystem-based adaptation in forests, coastal zones, and urban green corridors, as well as climate-resilient practices for agriculture, fisheries, and aquaculture by 2025 (Linked to Mitigation target). Integrate gender-sensitive considerations into existing climate change policies by 2025. 4.0 MONITORING, REPORTING AND VERIFICATION (MRV). | [
2,
9
] | [
"Revised First NDC"
] | [
"Cross-sectoral (action): “Set up an initiative to explore innovative financing models for ecosystem-based adaptation in forests, coastal zones, and urban green corridors, as well as climate-resilient practices for agriculture, fisheries, and aquaculture by 2025 (Linked to Mitigation target)” (p. 38)",
"Financing Adaptation"
] | [
[
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Agriculture",
"SubSector": "Crops"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Energy",
"SubSector": "Renewable energy"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Health",
"SubSector": "Health: General"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Urban",
"SubSector": "Sustainable urban planning"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999361038
} | [
1,
0
] | LBR | Liberia | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Set up an initiative to explore innovative financing models, such as payments for ecosystem services, for ecosystem conservation, restoration, and climate-smart practices in the forest, agriculture, and coastal zone sectors by 2025 (Linked to Adaptation target). Establish an inter-ministerial national task force on integrated land-use planning for urban areas and | Set up an initiative to explore innovative financing models, such as payments for ecosystem services, for ecosystem conservation, restoration, and climate-smart practices in the forest, agriculture, and coastal zone sectors by 2025 (Linked to Adaptation target). Establish an inter-ministerial national task force on integrated land-use planning for urban areas and green corridors, forests, coastal zones, wildlife, and agriculture by 2030. | [
0,
1
] | [
"Revised First NDC"
] | [
"Set up an initiative to explore innovative financing models, such as payments for ecosystem services, for ecosystem conservation, restoration, and climate-smart practices in the forest, agriculture, and coastal zone sectors by 2025"
] | [
[
{
"Alpha2": "LR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999366999
} | [
2,
2
] | CAF | Central African Republic | [
0,
4
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
4,
0
] | Set up and make operational by 2030 a system for preventing food crises associated with climate variability and change (early warning system including an information system. Existence of a functional system for hydro-meteorological and seasonal forecasts. Improved climate resilience of communities and traditional pastoral systems. | Set up and make operational by 2030 a system for preventing food crises associated with climate variability and change (early warning system including an information system. Existence of a functional system for hydro-meteorological and seasonal forecasts. Improved climate resilience of communities and traditional pastoral systems. | [
2,
2
] | [
"Revised First NDC"
] | [
"Action 1.3.1 [Agriculture and Livestock]: “Existence of a functional system for hydro-meteorological and seasonal forecasts” (p. 25)",
"Set up and make operational by 2030 a food crisis prevention system associated with climate variability and change (early warning system including an information system"
] | [
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.999928236
} | [
0,
6
] | CPV | Cape Verde | [
0,
6
] | [
[
null,
null
],
[
null
],
[
null,
null,
null
]
] | [
"CW"
] | [
6,
0
] | Set up till 2022 a national action plan on health and climate change indicating additional priority measures and actions to be implemented till 2030, as well as establishing a financial plan to identify financial support needs from the international community;. Set up a research project to identify health effects of | Set up till 2022 a national action plan on health and climate change indicating additional priority measures and actions to be implemented till 2030, as well as establishing a financial plan to identify financial support needs from the international community;. Set up a research project to identify health effects of climate change on animals and vegetable species in the country. Lead Agencies: Ministry of Health; Public Health National Institute; Ministry of Industry, Trade and Energy, supported by ICIEG. TRANSPARENCY AND GOVERNANCE. | [
3,
3
] | [
"Revised First NDC"
] | [
"Health [associated measure]: “Set up a research project to identify health effects of climate change on animals and vegetable species in the country.” (p. 45)",
"Health [associated measure]: “Set up till 2022 a national action plan on health and climate change indicating additional priority measures and actions to be implemented till 2030, as well as establishing a financial plan to identify financial support needs from the international community",
"Increasing investments in climate change and health (research, health adaptation for population health and health system resilience)"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Health services and assessment"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Health services and assessment"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
]
] |
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