Policies_Plans
sequence | lang
dict | Target
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| Country
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41
| Mitigation
sequence | IkiInfo
sequence | Source
sequence | Adaptation
sequence | sentence
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695
| context
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3.41k
| Action
sequence | Document
sequence | ResponseText
sequence | CWInfo
list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
0,
1
] | {
"label": "en-US",
"score": 0.999935627
} | [
0,
1
] | HTI | Haiti | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The country s priorities for adaptation to climate change are:. Integrated water and watershed management;. Integrated coastal zone management and infrastructure rehabilitation;. Preserving and strengthening security;. Information, education and awareness. Under this contribution, Haiti commits itself by 2030 to:. Integrate the effects of climate change into sectoral development strategies;. Develop | The country s priorities for adaptation to climate change are:. Integrated water and watershed management;. Integrated coastal zone management and infrastructure rehabilitation;. Preserving and strengthening security;. Information, education and awareness. Under this contribution, Haiti commits itself by 2030 to:. Integrate the effects of climate change into sectoral development strategies;. Develop the 15 strategic watersheds most vulnerable to extreme climate events according to land use patterns;. | [
1,
0
] | [
"First NDC"
] | [
"\"Integrate the effects of climate change into sectoral development strategies\" (6)."
] | [
[
{
"Alpha2": "HT",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999301434
} | [
0,
3
] | UGA | Uganda | [
0,
3
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
3,
0
] | The country will continue to work on reducing vulnerability in the following priority sectors: agriculture and livestock, forestry, infrastructure (with an emphasis on human settlements, social infrastructure and transport), water, energy and health. Disaster risk management is crosscutting for adaptation. Table 1: Uganda’s priority sectors and actions for adaptation. Priority | The country will continue to work on reducing vulnerability in the following priority sectors: agriculture and livestock, forestry, infrastructure (with an emphasis on human settlements, social infrastructure and transport), water, energy and health. Disaster risk management is crosscutting for adaptation. Table 1: Uganda’s priority sectors and actions for adaptation. Priority Sectors. Priority Adaptation Actions. Agriculture. Expanding extension services. Expanding climate information and early warning systems. Expanding Climate Smart Agriculture (CSA). | [
3,
0
] | [
"First NDC",
"INDC"
] | [
"Agriculture: \"Expanding Climate Smart Agriculture (CSA)\" (5)",
"Agriculture: \"Expanding extension services\" (5)",
"Expanding agricultural extension services"
] | [
[
{
"Alpha2": "UG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
],
[
{
"Alpha2": "UG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "UG",
"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"
}
]
] |
[
1,
1
] | {
"label": "en-US",
"score": 0.9999369383
} | [
0,
2
] | ARE | United Arab Emirates | [
1,
1
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
1,
1
] | The country will strengthen surveillance of infectious diseases and their link to climate and environment-related factors amid the COVID-19 pandemic. 3.4 Environment. The UAE has been working to conserve and protect its natural heritage through the promulgation of relevant environmental regulations, development of protected areas, and promotion of sustainable best | The country will strengthen surveillance of infectious diseases and their link to climate and environment-related factors amid the COVID-19 pandemic. 3.4 Environment. The UAE has been working to conserve and protect its natural heritage through the promulgation of relevant environmental regulations, development of protected areas, and promotion of sustainable best practices in economic activities reliant on the environment (such as fishing and farming). | [
1,
1
] | [
"Second NDC"
] | [
"\"The UAE has been working to conserve and protect its natural heritage through the promulgation of relevant environmental regulations, development of protected areas, and promotion of sustainable best practices in economic activities reliant on the environment (such as fishing and farming).\"",
"“The country will strengthen surveillance of infectious diseases and their link to climate and environment-related factors amid the COVID-19 pandemic.” (p. 10)"
] | [
[
{
"Alpha2": "AE",
"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": "LULUCF/Forestry",
"SubSector": "Conservation"
}
],
[
{
"Alpha2": "AE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999361038
} | [
0,
6
] | LSO | Lesotho | [
0,
6
] | [
[
null,
null,
null
],
[
null,
null,
null
]
] | [
"CW"
] | [
6,
0
] | The country’s NAPA identify agriculture, energy, water, forestry, gender, infrastructure and human health as sectors and thematic areas which are highly vulnerable to the impacts of climate change, climate variability and extreme climate events. The vulnerability is further compounded by a number of other factors, including high levels of poverty | The country’s NAPA identify agriculture, energy, water, forestry, gender, infrastructure and human health as sectors and thematic areas which are highly vulnerable to the impacts of climate change, climate variability and extreme climate events. The vulnerability is further compounded by a number of other factors, including high levels of poverty particularly in rural areas, the scattered nature of rural settlements, which makes the provision of and access to social services difficult. | [
0,
6
] | [
"First NDC"
] | [
"Harnessing the power of nature and expand water infrastructure",
"Meainstreaming climate risks in health policies and programs, including on health infrastructure, and health systems"
] | [
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Infrastructure"
}
],
[
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Awareness raising and behavior change"
},
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "LS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999352694
} | [
0,
1
] | KEN | Kenya | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The country’s economy is highly dependent on climate sensitive sectors such as agriculture that is mainly rain-fed, energy, tourism, water and health. Climate hazards have caused considerable losses across the country’s different sectors over the years. The main climate hazards include droughts and floods which cause economic losses estimated at | The country’s economy is highly dependent on climate sensitive sectors such as agriculture that is mainly rain-fed, energy, tourism, water and health. Climate hazards have caused considerable losses across the country’s different sectors over the years. The main climate hazards include droughts and floods which cause economic losses estimated at 3% of the country’s Gross Domestic Product (GDP). | [
0,
1
] | [
"First NDC"
] | [
"Preparing for a changing climate by planning for floods and droughts"
] | [
[
{
"Alpha2": "KE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster Risk Management (DRM): General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999270439
} | [
0,
1
] | MDA | Republic of Moldova | [
0,
1
] | [
[
"{'IkiSheet': 'investment', 'page_number': 60, 'region': 'Europe', 'parameter': 'M_Volume', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | The country’s new economy-wide unconditional target is to reduce its greenhouse gas emissions by 70 per cent below its 1990 level in 2030, instead of 64-67 per cent as committed in NDC1. | The country’s new economy-wide unconditional target is to reduce its greenhouse gas emissions by 70 per cent below its 1990 level in 2030, instead of 64-67 per cent as committed in NDC1. | [
0,
0
] | [
"Revised First NDC"
] | [
"70"
] | [
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999315739
} | [
0,
2
] | LAO | Laos | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | The cross-ministerial National Disaster Management Committee (NDMC) will oversee the overall implementation of the INDC. Using the NDMC’s existing structure, the Ministry of Natural Resources and Environment (MoNRE) will act as secretariat. This will involve coordination with relevant ministries and cooperation with international stakeholders to access finance and capacity building | The cross-ministerial National Disaster Management Committee (NDMC) will oversee the overall implementation of the INDC. Using the NDMC’s existing structure, the Ministry of Natural Resources and Environment (MoNRE) will act as secretariat. This will involve coordination with relevant ministries and cooperation with international stakeholders to access finance and capacity building for the implementation of the INDC including the establishment and implementation of MRV. | [
0,
2
] | [
"INDC"
] | [
"Ministry of Natural Resources and Environment (MoNRE)",
"National Disaster Management Committee (NDMC)"
] | [
[
{
"Alpha2": "LA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_TraProg",
"QuestionDefinition": "Information on how progress for sectoral implementation will be tracked",
"QuestionText": "Tracking Progress for Sectoral Implementation",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
],
[
{
"Alpha2": "LA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_TraProg",
"QuestionDefinition": "Information on how progress for sectoral implementation will be tracked",
"QuestionText": "Tracking Progress for Sectoral Implementation",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.999922514
} | [
5,
0
] | BEN | Benin | [
5,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
5
] | The cumulative emissions avoided are broken down as follows: (i) electricity production 63.4% of which 46.9% is conditional; (Ii) promotion of public lighting for kerosene savings 35.1% of which 17.5% is conditional; (iii) saving wood energy by promoting improved households 1.3% of which 1.1% conditional contribution. LULUCF SectorMeasures related to | The cumulative emissions avoided are broken down as follows: (i) electricity production 63.4% of which 46.9% is conditional; (Ii) promotion of public lighting for kerosene savings 35.1% of which 17.5% is conditional; (iii) saving wood energy by promoting improved households 1.3% of which 1.1% conditional contribution. LULUCF SectorMeasures related to the LULUCF sector (Table 1 in the Annex)Benin is planning to increase the carbon sequestration capacity of its forest ecosystems through the implementation of sustainable natural forest management and the strengthening of reforestation / plantation efforts. | [
0,
5
] | [
"INDC"
] | [
"-1.3% emissions compared to BAU",
"-35.1% emissions compared to BAU",
"-63.4% emissions compared to BAU",
"Additional -17.5%",
"Additional -46.9%"
] | [
[
{
"Alpha2": "BJ",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Clean Cooking and Heating: Efficient cookstoves"
}
],
[
{
"Alpha2": "BJ",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Cities"
}
],
[
{
"Alpha2": "BJ",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "BJ",
"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": "Demand-side Efficiency: Cities"
}
],
[
{
"Alpha2": "BJ",
"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 Efficiency"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999287128
} | [
0,
1
] | MKD | Macedonia | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The current GHG inventory is prepared using IPCC 2006 Guidelines and 2019 refinement of 2006 IPCC Guidelines (only for fugitive emissions from the Energy sector). As per the IPCC Good Practice Guidance and the 2006 IPCC Guidelines, the national GHG inventory includes robust Quality Assurance and Quality Control (QA/QC) procedures | The current GHG inventory is prepared using IPCC 2006 Guidelines and 2019 refinement of 2006 IPCC Guidelines (only for fugitive emissions from the Energy sector). As per the IPCC Good Practice Guidance and the 2006 IPCC Guidelines, the national GHG inventory includes robust Quality Assurance and Quality Control (QA/QC) procedures which ensure. continuous improvement,. transparency,. consistency,. comparability,. completeness,. accuracy and. timeliness,. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"Phasing out of incandescent lights, Improvement of the street lighting\""
] | [
[
{
"Alpha2": "MK",
"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": "Demand-side Efficiency: Appliances"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999027252
} | [
0,
3
] | LBR | Liberia | [
0,
3
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
3,
0
] | The current National Adaptation Programme of Action (NAPA) pilot projects implementation framework started in 2010: The coastal pilot project in Grand Bassa Buchanan, with a length of 600meters had a budget of 3.3million USD; the agriculture adaptation pilot project had a budget of 2.6million (begun in 2012). The third pilot | The current National Adaptation Programme of Action (NAPA) pilot projects implementation framework started in 2010: The coastal pilot project in Grand Bassa Buchanan, with a length of 600meters had a budget of 3.3million USD; the agriculture adaptation pilot project had a budget of 2.6million (begun in 2012). The third pilot project ( monitoring climate information and services to enhance adaptation in climate change) started in 2014 with a budget of 7million USD. | [
2,
1
] | [
"INDC"
] | [
"The agriculture adaptation pilot project.",
"The coastal pilot project in Grand Bassa Buchanan, with a length of 600 meters.",
"USD 2.6 Million (2012)"
] | [
[
{
"Alpha2": "LR",
"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": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
}
],
[
{
"Alpha2": "LR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConActCost",
"QuestionDefinition": "The estimated costs for sectoral conditional actions",
"QuestionText": "Estimated Cost for Sectoral Conditional Actions ",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999228716
} | [
0,
1
] | NRU | Nauru | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The current sewage treatment plant at Nauru Primary School is ineffective, overburdened and poses a potential health risk to children at the school and cannot serve as a long-term reliable sewerage solution to treat and effectively dispose of human waste remains a priority. Thus the following actions to improve the | The current sewage treatment plant at Nauru Primary School is ineffective, overburdened and poses a potential health risk to children at the school and cannot serve as a long-term reliable sewerage solution to treat and effectively dispose of human waste remains a priority. Thus the following actions to improve the sewerage situation in Nauru are a part of its NDC. Conditional Contribution. Implementation of the sewerage components of the Water and Sanitation Master Plan. | [
0,
1
] | [
"Revised First NDC"
] | [
"Human Health"
] | [
[
{
"Alpha2": "NR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
1,
3
] | {
"label": "en-US",
"score": 0.999928236
} | [
3,
1
] | PAN | Panama | [
1,
3
] | [
[
null
],
[
null,
null,
null
]
] | [
"CW"
] | [
3,
1
] | The cyclical dynamics of loss of public road infrastructure, as well as housing and livelihoods due to floods and extreme weather events is evidence of the need to transform construction models and practices to incorporate disaster risk and climate variables. 4.9.2 Commitment. Commitment. Governing entity. Commitment type. Indicators. ODS. By | The cyclical dynamics of loss of public road infrastructure, as well as housing and livelihoods due to floods and extreme weather events is evidence of the need to transform construction models and practices to incorporate disaster risk and climate variables. 4.9.2 Commitment. Commitment. Governing entity. Commitment type. Indicators. ODS. By 2025, Panama will have developed a "Climate Change Plan for the Infrastructure Sector" that includes adaptation and mitigation components. Ministry of Environment. No GHG Target. Actions, Policies and Regulations. Climate Change Plan for the Infrastructure Sector developed. | [
0,
4
] | [
"Revised First NDC"
] | [
"\"By 2025, Panama will have developed a \"Climate Change Plan for the Infrastructure Sector\" that includes adaptation and mitigation components.\"",
"infrastructure plan exists"
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Buildings",
"SubSector": "Buildings: General"
}
],
[
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Infrastructure"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999318123
} | [
0,
2
] | ATG | Antigua and Barbuda | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The damage to critical public service infrastructure also curtails the capacity of emergency services to prepare for and respond to extreme weather events, which further exacerbates the impacts outlined. To increase the adaptative capacity of the infrastructure, adaptation targets are introduced such as 100% of community and sports infrastructure and | The damage to critical public service infrastructure also curtails the capacity of emergency services to prepare for and respond to extreme weather events, which further exacerbates the impacts outlined. To increase the adaptative capacity of the infrastructure, adaptation targets are introduced such as 100% of community and sports infrastructure and assets are climate resilient (to withstand at a minimum Category 4 tropical cyclones) and have adequate water harvesting and storage systems. | [
2,
0
] | [
"Revised First NDC"
] | [
"“100% of community and sports infrastructure and assets are climate resilient (to withstand at a minimum Category 4 tropical cyclones) and have adequate water harvesting and storage system” (p. 20)"
] | [
[
{
"Alpha2": "AG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Infrastructure"
},
{
"Alpha2": "AG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.999925375
} | [
0,
3
] | MOZ | Mozambique | [
0,
3
] | [
[
null,
null
],
[
null
]
] | [
"CW"
] | [
3,
0
] | The dashboard for the INS National Health Observatory for climate sensitive diseases (Malaria, Dengue, Chikungunya, cholera and diarrhoea) (WHO) was developed. The pilot for integration of climate and epidemiological information and development of early warning system in 4 provinces (Nampula, Sofala, Inhambane and Maputo) is underway. Strengthening Climate Risk Preparedness | The dashboard for the INS National Health Observatory for climate sensitive diseases (Malaria, Dengue, Chikungunya, cholera and diarrhoea) (WHO) was developed. The pilot for integration of climate and epidemiological information and development of early warning system in 4 provinces (Nampula, Sofala, Inhambane and Maputo) is underway. Strengthening Climate Risk Preparedness and Response Capacity 4.6.1.1.2. Enhancing preparedness on impending climate disasters (Strengthening provincial and district bodies capacity on disaster preparedness including response capacities) - 4.6.1.1.2.1. | [
3,
0
] | [
"Revised First NDC"
] | [
"Early Warning System (Strengthening the early warning system): “The dashboard for the INS National Health Observatory for climate sensitive diseases (Malaria, Dengue, Chikungunya, cholera and diarrhoea) (WHO) was developed. The pilot for integration of climate and epidemiological information and development of early warning system in 4 provinces (Nampula, Sofala, Inhambane and Maputo) is underway.” (p. 38-39)",
"Early Washing System (Strengthening climate risk preparedness and response capacity): “Enhancing preparedness on impending climate disasters (Strengthening provincial and district bodies' capacity on disaster preparedness including response capacities)” (p. 38-39)"
] | [
[
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
],
[
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999326468
} | [
0,
1
] | SGP | Singapore | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The data collected will help Singapore monitor its biodiversity and develop biodiversity management plans. h. Regional Climate Modelling: Singapore has developed essential climate science capabilities within the Meteorological Service Singapore (MSS), through the establishment of the Centre for Climate Research Singapore (CCRS). CCRS focuses on tropical climate and weather research, | The data collected will help Singapore monitor its biodiversity and develop biodiversity management plans. h. Regional Climate Modelling: Singapore has developed essential climate science capabilities within the Meteorological Service Singapore (MSS), through the establishment of the Centre for Climate Research Singapore (CCRS). CCRS focuses on tropical climate and weather research, including work to improve prediction of convective thunderstorms (responsible for some extremes of weather in the tropics), understand the behaviour of the monsoons in Southeast Asia, and to better describe the drivers behind other complex climate system processes. | [
1,
0
] | [
"INDC"
] | [
"Establishment of the Centre for Climate Research Singapore (CCRS)."
] | [
[
{
"Alpha2": "SG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999299049
} | [
0,
1
] | MCO | Monaco | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The decarbonisation of fossil fuels results in an increase in the proportion of renewable or recovered energy consumed, notably via the creation of thalassothermal networks, the recovery of fatal energies, as well as via the increase in solar thermal and photovoltaic production on the territory and abroad (in proportion to | The decarbonisation of fossil fuels results in an increase in the proportion of renewable or recovered energy consumed, notably via the creation of thalassothermal networks, the recovery of fatal energies, as well as via the increase in solar thermal and photovoltaic production on the territory and abroad (in proportion to the electricity consumed in the territory). In addition, it will take the form of an increase in the biogenic share in fossil fuels, or even the substitution of these fuels by new fuels that are 100% of biogenic origin. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The decarbonization of fossil fuels results in an increase in the proportion of renewable or recovered energy consumed, in particular through the creation of thalassothermal networks, the valorization of fatal energies, as well as through the increase of solar thermal and photovoltaic production on the territory and abroad (in proportion to the electricity consumed on the territory).\""
] | [
[
{
"Alpha2": "MC",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999341965
} | [
0,
6
] | NRU | Nauru | [
6,
0
] | [
[
null
],
[
null,
null
],
[
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
6
] | The demand management improvements are expectedto reduceemissions by bringing down diesel consumption further. The cost of these mitigation measures is likely to be around US$50 million ( US$ 42 million for Solar PV and US$ 8 million for demand side energy efficiency measures) with some uncertainty depending on the storage | The demand management improvements are expectedto reduceemissions by bringing down diesel consumption further. The cost of these mitigation measures is likely to be around US$50 million ( US$ 42 million for Solar PV and US$ 8 million for demand side energy efficiency measures) with some uncertainty depending on the storage of energy either as electrical ( battery) or thermal (chilled water) to account for the high night time electrical load on the island. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"42 million USD",
"8 million USD",
"42 million USD",
"8 million USD"
] | [
[
{
"Alpha2": "NR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct12",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
}
],
[
{
"Alpha2": "NR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct12",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency"
},
{
"Alpha2": "NR",
"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": "Demand-side Efficiency"
}
],
[
{
"Alpha2": "NR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct12",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
}
],
[
{
"Alpha2": "NR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct12",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency"
},
{
"Alpha2": "NR",
"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": "Demand-side Efficiency"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999932766
} | [
2,
0
] | OMN | Oman | [
0,
2
] | [
[
"{'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': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 'MENA', 'region': 'Asia', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 92.78072000971, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 16.8238528}"
],
[
"{'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': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 'MENA', 'region': 'Asia', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 92.78072000971, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 16.8238528}"
]
] | [
"IKITracs"
] | [
0,
2
] | The deployment of renewable energy and the deepening of energy efficiency actions are the 2030 carbon control plan pillars. They would enable the Sultanate of Oman to slow GHG emission growth and reduce them by 7% in 2030, compared to the Business-As-Usual (BAU) scenario, which is predicted at about 125.254 | The deployment of renewable energy and the deepening of energy efficiency actions are the 2030 carbon control plan pillars. They would enable the Sultanate of Oman to slow GHG emission growth and reduce them by 7% in 2030, compared to the Business-As-Usual (BAU) scenario, which is predicted at about 125.254 MTCO2e. 4% of the GHG reduction commitment will be based on national efforts, and the remaining 3% would necessitate grants and other forms of concessional financing and assistance with capacity building and institutional strengthening, and access to appropriate technologies. | [
0,
0
] | [
"Second NDC"
] | [
"reduce GHG emission by 7% in 2030, compared to the Business-As-Usual (BAU) scenario, which is predicted at about 125.254 MTCO2e. (...) the remaining 3% would necessitate grants and other forms of concessional financing and assistance with capacity building and institutional strengthening, and access to appropriate technologies.",
"reduce GHG emission by 7% in 2030, compared to the Business-As-Usual (BAU) scenario, which is predicted at about 125.254 MTCO2e. 4% of the GHG reduction commitment will be based on national efforts,"
] | [
[
null
],
[
null
]
] |
[
0,
9
] | {
"label": "en-US",
"score": 0.9999274015
} | [
0,
9
] | PAN | Panama | [
0,
9
] | [
[
null,
null,
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
9,
0
] | The design of a sustainable infrastructure that takes into account the different needs and preferences of men and women leads to a more inclusive development,. 4.8.1 Sectorial circumstances. The areas of the country with poor sanitation infrastructure are the areas where the poorest and most vulnerable people live. The very | The design of a sustainable infrastructure that takes into account the different needs and preferences of men and women leads to a more inclusive development,. 4.8.1 Sectorial circumstances. The areas of the country with poor sanitation infrastructure are the areas where the poorest and most vulnerable people live. The very vulnerability of the infrastructure of health facilities limits their ability to continue operating during and after disasters and / or emergencies, which increases the vulnerability of populations, in a vicious circle. | [
0,
9
] | [
"Revised First NDC"
] | [
"Infrastructure"
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_2",
"QuestionDefinition": "GCA_Sector_2",
"QuestionText": "Adapt Now sector (2)",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Water",
"SubSector": "Infrastructure"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
7
] | {
"label": "en-US",
"score": 0.9999268055
} | [
2,
5
] | MDA | Moldova | [
2,
5
] | [
[
null,
null,
null,
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
2
] | The desired reduction of GHG emissions by 2020 of 20 per cent below the BAU scenario level requires decisive actions at the national and sector levels. For instance, considerable abatement contributions are expected to be achieved within the energy sector (533 ktep savings are envisaged from energy efficiency measures and | The desired reduction of GHG emissions by 2020 of 20 per cent below the BAU scenario level requires decisive actions at the national and sector levels. For instance, considerable abatement contributions are expected to be achieved within the energy sector (533 ktep savings are envisaged from energy efficiency measures and 430 ktep savings from RES implementation covering the energy demand – the policy instruments in place envisage increasing the share of RES in the country’s energy balance up to 20 percent by 2020, and covering up to 10 percent of the electricity demand with locally produced renewable energy by 2020). | [
5,
2
] | [
"First NDC",
"INDC"
] | [
"\" (20)",
"20% share of renewable energy by 2020",
"and.\" (20)",
"20% share of renewable energy by 2020"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Afforestation"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "MD",
"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": 0.9999371767
} | [
1,
0
] | CRI | Costa Rica | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The detail of the methodological approach that will be used to account for the implementation of the NDC policies and measures will be included in the first BTR along with the progress report on the implementation of the NDC. c. If applicable, information on how the Party will consider existing | The detail of the methodological approach that will be used to account for the implementation of the NDC policies and measures will be included in the first BTR along with the progress report on the implementation of the NDC. c. If applicable, information on how the Party will consider existing methods and guidance under the Convention to account for anthropogenic emissions and removals, in accordance with Article 4 paragraph 14 of the PA, as appropriate. Costa Rica estimates the National Inventory of Greenhouse Gases based on the IPCC methodologies for National Inventories of Greenhouse Gases of 2006, the good practice guides on uncertainty and management of national inventories of greenhouse gases and the supplement of the 2013 to the 2006 guides. d. IPCC methodologies and metrics used to estimate anthropogenic GHG emissions and removals. | [
0,
1
] | [
"Revised First NDC"
] | [
"Guides and methods in place"
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
3,
3
] | {
"label": "en-US",
"score": 0.9999359846
} | [
3,
3
] | PAN | Panama | [
6,
0
] | [
[
null,
null,
null
],
[
null,
null,
null
]
] | [
"CW"
] | [
0,
6
] | The details of the alternative scenario on which the new conditional contribution for the energy sector is based are described below:By 2030 the alternative scenario includes:-In terms of electric mobility, it includes conservative ENME goals and the evolution of public transport according to PIMUS, MIBUS and METRO. Specifically, vehicles lifted | The details of the alternative scenario on which the new conditional contribution for the energy sector is based are described below:By 2030 the alternative scenario includes:-In terms of electric mobility, it includes conservative ENME goals and the evolution of public transport according to PIMUS, MIBUS and METRO. Specifically, vehicles lifted by 10% in private fleets, 25% in private vehicles, 20% in public transport and 30% in official fleets. Includes non-tax incentives. -In terms of electrical energy, EE evolution is foreseen according to the EE master plan and the UREE Law. | [
0,
6
] | [
"Revised First NDC"
] | [
"\"By 2030 the alternative scenario includes: In terms of electric mobility, it includes the conservative goals of ENME and the evolution of public transport according to PIMUS, MIBUS and METRO.\"",
"\"Specifically, electric vehicles at 10% in private fleets, 25% in private vehicles, 20% in public transport and 30% in official fleets. MiBus, the company in charge of operating the mass public service in Panama City, expects to have 15% and 30% electric buses in 2030.\""
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Public Transport"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Urban Transport"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Public Transport"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Urban Transport"
}
]
] |
[
0,
7
] | {
"label": "en-US",
"score": 0.999932766
} | [
0,
7
] | PRY | Paraguay | [
0,
7
] | [
[
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
7,
0
] | The development and transfer of technologies; in addition to information on continuous improvement and transparency, with which the country identifies the challenges it faces when addressing the implementation and monitoring of the Climate Change Adaptation and Mitigation Components. PARTICIPATORY PROCESS AND INSTITUTIONAL ARRANGEMENTS. The entire process of updating the NDC, | The development and transfer of technologies; in addition to information on continuous improvement and transparency, with which the country identifies the challenges it faces when addressing the implementation and monitoring of the Climate Change Adaptation and Mitigation Components. PARTICIPATORY PROCESS AND INSTITUTIONAL ARRANGEMENTS. The entire process of updating the NDC, extended between 2020 and 2021, was built with various challenges due to the SARS-COVID19 pandemic, which generated the need to make methodological adjustments in the construction and validation stages of the different processes. | [
0,
7
] | [
"Revised First NDC"
] | [
"Addressing the challenges of the most climate-affected and vulnerable"
] | [
[
{
"Alpha2": "PY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
},
{
"Alpha2": "PY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "PY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "PY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "PY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "PY",
"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": "PY",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999359846
} | [
0,
2
] | GIN | Guinea | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The development issue therefore remains a priority in order to meet the essential needs of the Guinean population. Nevertheless,. Thus, in order to participate in the achievement of the overall objective defined in Article 2 of the Paris Agreement, it is possible for the Republic of Guinea to reconcile economic | The development issue therefore remains a priority in order to meet the essential needs of the Guinean population. Nevertheless,. Thus, in order to participate in the achievement of the overall objective defined in Article 2 of the Paris Agreement, it is possible for the Republic of Guinea to reconcile economic growth and a low-emission development trajectory of carbon, and above all to avoid being “trapped” for decades by carbon-intensive infrastructure, particularly energy infrastructure. | [
0,
2
] | [
"Revised First NDC"
] | [
"Infrastructure"
] | [
[
{
"Alpha2": "GN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
},
{
"Alpha2": "GN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Transport",
"SubSector": "Sustainable transport planning"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999355078
} | [
4,
0
] | VUT | Vanuatu | [
4,
0
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | The development objectives are planned to be achieved by integrating GHG abatement efforts with other social, environmental and economic priorities. Mitigation Contribution. Time Frame: 2020-2030. Type of Contribution: Sectoral commitment focussed on a transition to renewable energy in the electricity generation sub-sector under energy generation. Target Level: To approach 100% | The development objectives are planned to be achieved by integrating GHG abatement efforts with other social, environmental and economic priorities. Mitigation Contribution. Time Frame: 2020-2030. Type of Contribution: Sectoral commitment focussed on a transition to renewable energy in the electricity generation sub-sector under energy generation. Target Level: To approach 100% renewable energy in the electricity sub-sector contingent upon appropriate financial and technical support made available. | [
0,
4
] | [
"First NDC",
"INDC"
] | [
"100% share of renewable energy in electricity generation",
"100% share of renewable energy in electricity generation"
] | [
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "VU",
"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": "Renewable Energy"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "VU",
"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": "Renewable Energy"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999315739
} | [
0,
2
] | BRB | Barbados | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | The development of a NAMA proposal for renewable energy and energy efficiency referenced in the 2015 NDC has been superseded by the 2019 Energy Policy and its Implementation Plan, which are the core of this ambitious NDC update. The waste-to-energy plant included in the 2015 NDC is being redesigned with | The development of a NAMA proposal for renewable energy and energy efficiency referenced in the 2015 NDC has been superseded by the 2019 Energy Policy and its Implementation Plan, which are the core of this ambitious NDC update. The waste-to-energy plant included in the 2015 NDC is being redesigned with private sector investment being considered. Methods. The 2015 NDC mitigation contribution was calculated using historical data from the Barbados 2010 Greenhouse Gas Inventory, officially published as part of the 2018 Second National Communication report, using 2006 IPCC Guidelines. | [
2,
0
] | [
"Revised First NDC"
] | [
"\"The waste-to-energy plant included in the 2015 NDC is being redesigned with private sector investment being considered.\""
] | [
[
{
"Alpha2": "BB",
"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": "Renewable Energy: Waste-to-Energy"
},
{
"Alpha2": "BB",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct1",
"QuestionDefinition": "Existing sectoral downstream actions that the NDC builds on",
"QuestionText": "Building on existing downstream actions",
"Sector": "Waste",
"SubSector": "Waste-to-Energy"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999314547
} | [
0,
6
] | LKA | Sri Lanka | [
6,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 13, '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': 'Avoid', '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': 13, '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': 'Avoid, Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General parking 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_Parking', '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': 13, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', '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': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General infrastructure 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': 'Asia', 'parameter': 'S_Infraimprove', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 13, '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': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Traffic 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_LATM', 'mode_private_cars': nan, 'category': 'Comprehensive transport planning', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 13, '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': 'Intelligent transport systems', '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_ITS', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 13, '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': 'Avoid', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Commuter trip reduction policies', '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_Commute', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
6
] | The development of an environmentally sustainable transport (EST) system, based on the concept of “Reduce-Shift-Improve” supports reducing (or avoiding) the need to travel, shifting to more environmentally friendly modes, and improving the energy efficiency of transportation and vehicle technology (focused on system efficiency, trip efficiency, and vehicle efficiency). Table 4.4.2: | The development of an environmentally sustainable transport (EST) system, based on the concept of “Reduce-Shift-Improve” supports reducing (or avoiding) the need to travel, shifting to more environmentally friendly modes, and improving the energy efficiency of transportation and vehicle technology (focused on system efficiency, trip efficiency, and vehicle efficiency). Table 4.4.2: NDCs in Transport Sector NDC # NDCs and Actions Timeline Transport sector system improvement 1.1 Avoid the need to travel 1.2 Reduce commuting distances and travel time 1.3 Improve traffic and traffic light management 1.4 Improve parking management 1.5 Introduce intelligent transport management systems 1.6 Improve road architecture (road designs, road signs, signaling, signage, etc.) | [
0,
0
] | [
"Revised First NDC"
] | [
"Avoid the need to travel",
"Improve parking management",
"Improve road architecture (road designs, road signs, signaling, signage, etc.)",
"Improve traffic and traffic light management",
"Introduce intelligent transport management systems",
"Reduce commuting distances and travel time"
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999293089
} | [
0,
2
] | MAR | Morocco | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The development of codes and standards for the design of health infrastructures;. Strengthening research and studies relating to “health and climate change”;. The development of community training programs for health personnel on the risks associated with climate change. 4. APPENDICES. Annex 1. Summary of Headline Goal Mitigation Measures. No. Sector. | The development of codes and standards for the design of health infrastructures;. Strengthening research and studies relating to “health and climate change”;. The development of community training programs for health personnel on the risks associated with climate change. 4. APPENDICES. Annex 1. Summary of Headline Goal Mitigation Measures. No. Sector. Measures. Description. Mitigation. Cost (Million U $). 2020-2030. 2030. (Gg CO2). 1. Electricity production. National wind plan for 2020. Establishment of wind farms on several sites by 2020 for a total capacity of 1,467 MW. 33 761.3. 3,305.3. 2000.0. 2. | [
2,
0
] | [
"Revised First NDC"
] | [
"3) The development of community training programs for health personnel on the risks associated with climate change.” (p. 27)"
] | [
[
{
"Alpha2": "MA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Health services and assessment"
},
{
"Alpha2": "MA",
"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": 0.9999262094
} | [
0,
1
] | MDA | Moldova | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The development of public-private partnership will encourage for increasing the effectiveness of the approach specific to a field. Regional and international cooperation will be also developed, and as long as the provision of financial resources is limited, collaborative relationships with donor financial institutions will be developed. | The development of public-private partnership will encourage for increasing the effectiveness of the approach specific to a field. Regional and international cooperation will be also developed, and as long as the provision of financial resources is limited, collaborative relationships with donor financial institutions will be developed. | [
1,
0
] | [
"First NDC"
] | [
"\"Develop the communication and the institutional cooperation in view of implementing adaptation policies\" which includes \"cooperation with the business community, NGOs and academic/scientific community\", \"development of public-private partnership\", \"Regional and international cooperation \", and \"collaborative relationships with donor financial institutions\" (14)"
] | [
[
{
"Alpha2": "MD",
"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,
4
] | {
"label": "en-US",
"score": 0.9999345541
} | [
0,
4
] | GIN | Guinea | [
0,
4
] | [
[
null,
null,
null,
null
]
] | [
"CW"
] | [
4,
0
] | The development of the National Water Policy (2018): aims to develop an integrated approach to water resources throughout the national territory and includes climate issues across the board. b. Framework documents for adaptation in the Republic of Guinea. The National Adaptation Plan, currently under preparation, will constitute the communication document | The development of the National Water Policy (2018): aims to develop an integrated approach to water resources throughout the national territory and includes climate issues across the board. b. Framework documents for adaptation in the Republic of Guinea. The National Adaptation Plan, currently under preparation, will constitute the communication document on the adaptation of the Republic of Guinea, taking into account the guidelines established in decision 5 / CP.17. | [
0,
4
] | [
"Revised First NDC"
] | [
"Embedding NbS into adaptation planning and policy"
] | [
[
{
"Alpha2": "GN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Coastal Zone",
"SubSector": "Mangroves"
},
{
"Alpha2": "GN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "GN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
},
{
"Alpha2": "GN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999306202
} | [
0,
1
] | GNB | Guinea Bissau | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The development of this scenario was based largely on official existing strategies such as the National Action Plan for Renewable Energy (NREAP), the National Action Plan for Energy Efficiency (NEEAPs) and the “National program for sustainable access to energy for all by 2030” which constitute a reference framework for the | The development of this scenario was based largely on official existing strategies such as the National Action Plan for Renewable Energy (NREAP), the National Action Plan for Energy Efficiency (NEEAPs) and the “National program for sustainable access to energy for all by 2030” which constitute a reference framework for the country s energy transition vision. In concrete terms, the NDC scenario for the energy sector targets the following energy objectives:. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The development of this scenario was based largely on official existing strategies such as the National Action Plan for Renewable Energy (NREAP), the National Action Plan for Energy Efficiency (NEEAPs) and the “National program for sustainable access to energy for all by 2030” which constitute a reference framework for the country's energy transition vision.\""
] | [
[
{
"Alpha2": "GW",
"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": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999351501
} | [
0,
3
] | BFA | Burkina Faso | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | The difficulty of extrapolating social or environmental gains as financial gains explains the difficulty in understanding negative or zero costs. The projects within this option have an absolute financial value that is negative, but an overall absolute value that is zero or positive when one takes into account the economic | The difficulty of extrapolating social or environmental gains as financial gains explains the difficulty in understanding negative or zero costs. The projects within this option have an absolute financial value that is negative, but an overall absolute value that is zero or positive when one takes into account the economic and productive, public health and environmental effects that they produce. | [
0,
3
] | [
"First NDC"
] | [
"Raising understanding of the value of nature for climate adaptation"
] | [
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
}
]
] |
[
8,
0
] | {
"label": "en-US",
"score": 0.9999363422
} | [
0,
8
] | GNB | Guinea Bissau | [
8,
0
] | [
[
null,
null,
null
],
[
null,
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
8
] | The diffusion of efficient lighting in the residential and commercial sector. The implementation of energy efficiency actions in public and commercial buildings and in industry. The large-scale dissemination of improved stoves for cooking to reduce fuelwood consumption. The large-scale distribution of prepaid meters to encourage households to optimize their electricity | The diffusion of efficient lighting in the residential and commercial sector. The implementation of energy efficiency actions in public and commercial buildings and in industry. The large-scale dissemination of improved stoves for cooking to reduce fuelwood consumption. The large-scale distribution of prepaid meters to encourage households to optimize their electricity consumption. Communication and awareness of stakeholders in favor of energy management. | [
0,
8
] | [
"Revised First NDC"
] | [
"\"The diffusion of efficient lighting in the residential and commercial sector.\"",
"\"The implementation of energy efficiency actions in public and commercial buildings and in industry.\"",
"\"The large-scale dissemination of improved stoves for cooking to reduce fuelwood consumption.\"",
"\"The large-scale distribution of prepaid meters to encourage households to optimize their electricity consumption.\""
] | [
[
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
},
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Industries"
},
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
},
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Industries"
},
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Clean Cooking and Heating: Efficient cookstoves"
}
],
[
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999229908
} | [
2,
4
] | DJI | Djibouti | [
0,
6
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
6,
0
] | The district administrative centres of Ali Sabieh, Dikhil, Arta-Wea, Tadjourah and Obock;. The peripheral neighbourhoods of Djibouti, particularly those to the west of Ambouli Oued. Funding: World Bank and UNICEF. Support for adaptation to climate change among rural communities in mountainous regions. This project helps to strengthen the resilience of | The district administrative centres of Ali Sabieh, Dikhil, Arta-Wea, Tadjourah and Obock;. The peripheral neighbourhoods of Djibouti, particularly those to the west of Ambouli Oued. Funding: World Bank and UNICEF. Support for adaptation to climate change among rural communities in mountainous regions. This project helps to strengthen the resilience of Aidalou Assamo populations in the face of shocks related to climate change. Funding: UNDP. Pastoral system security project – PSSP/SHARE (2014). | [
2,
4
] | [
"First NDC",
"INDC"
] | [
"-The district administrative centres of Ali Sabieh, Dikhil, Arta-Wea, Tadjourah and Obock",
"-The peripheral neighbourhoods of Djibouti, particularly those to the west of Ambouli Oued. (p. 11)",
"“Support for adaptation to climate change among rural communities in mountainous regions” (p. 11)",
"Support for adaptation to climate change among rural communities in mountainous regions",
"World Bank",
"World Bank and UNICEF"
] | [
[
{
"Alpha2": "DJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water sanitation"
}
],
[
{
"Alpha2": "DJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water sanitation"
}
],
[
{
"Alpha2": "DJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
],
[
{
"Alpha2": "DJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "DJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncActDon",
"QuestionDefinition": "The funders for sectoral unconditional actions",
"QuestionText": "Funders for Sectoral Unconditional Actions",
"Sector": "Water",
"SubSector": "Water infrastructure"
}
],
[
{
"Alpha2": "DJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncActDon",
"QuestionDefinition": "The funders for sectoral unconditional actions",
"QuestionText": "Funders for Sectoral Unconditional Actions",
"Sector": "Water",
"SubSector": "Water sanitation"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999316931
} | [
0,
6
] | CPV | Cape Verde | [
0,
6
] | [
[
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
6,
0
] | The document, structured in 6 chapters, addresses the reasons for updating the NDC in the context of Climate Ambition 2030, and presents Cabo Verde s concrete contributions to Mitigation and Adaptation and the perspective of climate governance for this purpose. It ends with a chapter on priorities and needs, namely | The document, structured in 6 chapters, addresses the reasons for updating the NDC in the context of Climate Ambition 2030, and presents Cabo Verde s concrete contributions to Mitigation and Adaptation and the perspective of climate governance for this purpose. It ends with a chapter on priorities and needs, namely in terms of international support, financing, capacity building and technology transfer. | [
0,
6
] | [
"Revised First NDC"
] | [
"Improving water governance and scale up financing"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Infrastructure"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Energy",
"SubSector": "Renewable energy"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Wastewater treatment"
},
{
"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": "Water",
"SubSector": "Water management"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water sanitation"
}
]
] |
[
1,
1
] | {
"label": "en-US",
"score": 0.9999283552
} | [
1,
1
] | SUR | Suriname | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | The draft National Energy Policy goals are also aligned with the Policy Development Plan 2017-2021. The PDP aims for: (1) energy access for everyone in the country, (2) promoting energy efficiency and (3) stimulating the use of renewable energy. | The draft National Energy Policy goals are also aligned with the Policy Development Plan 2017-2021. The PDP aims for: (1) energy access for everyone in the country, (2) promoting energy efficiency and (3) stimulating the use of renewable energy. | [
0,
2
] | [
"Second NDC"
] | [
"Upgrade energy efficiency"
] | [
[
{
"Alpha2": "SR",
"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": "Energy Efficiency"
},
{
"Alpha2": "SR",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
]
] |
[
1,
1
] | {
"label": "en-US",
"score": 0.9999309778
} | [
1,
1
] | KGZ | Kyrgyzstan | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | The dynamics of CO2 removals in the sector under three scenarios is presented in the diagram below.diagram below. Sector. Waste. Goals. Measures. Target indicators, 1000 tons of CO2 eq. 2025. 2030. 1. Reduction of current GHG emissions. 1.1. Implementation of systems for the separate collection and disposal of waste (WAM). | The dynamics of CO2 removals in the sector under three scenarios is presented in the diagram below.diagram below. Sector. Waste. Goals. Measures. Target indicators, 1000 tons of CO2 eq. 2025. 2030. 1. Reduction of current GHG emissions. 1.1. Implementation of systems for the separate collection and disposal of waste (WAM). NE. NE. 1.2 Waste recycling development (WAM). NE. NE. 2. Development of RES. 2.1. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"Implementation of systems for the separate collection and disposal of waste (WAM)\""
] | [
[
{
"Alpha2": "KG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Waste",
"SubSector": "Waste: General"
},
{
"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": "Waste",
"SubSector": "Waste: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999274015
} | [
0,
1
] | MMR | Myanmar | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The economy of Myanmar and its society is therefore highly sensitive and vulnerable to climate change, climate variability and natural disasters. Adaptation to the changing climate is a priority. However the capacity to reduce risk and mitigate the effects of climate change is limited due to lack of technical, human | The economy of Myanmar and its society is therefore highly sensitive and vulnerable to climate change, climate variability and natural disasters. Adaptation to the changing climate is a priority. However the capacity to reduce risk and mitigate the effects of climate change is limited due to lack of technical, human resources, financial and legislative processes. This results in significant loss and damage, hampering the process of national development. Myanmar’s population recurrently suffers from loss of life and damage to infrastructure as a result of climate related disasters. | [
0,
1
] | [
"First NDC"
] | [
"Helping small scale producers manage risks from increased variability and climate shocks"
] | [
[
{
"Alpha2": "MM",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999368191
} | [
0,
1
] | BEN | Benin | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The effective and timely mobilization of national resources and the assistance expected from the international community. Difficulties in mobilizing sufficient resources could hinder the implementation of projects. The capacity of the public structures concerned to effectively manage large-scale programs. | The effective and timely mobilization of national resources and the assistance expected from the international community. Difficulties in mobilizing sufficient resources could hinder the implementation of projects. The capacity of the public structures concerned to effectively manage large-scale programs. | [
0,
1
] | [
"First NDC"
] | [
"Scaling up and deploy public finance more effectively"
] | [
[
{
"Alpha2": "BJ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
7
] | {
"label": "en-US",
"score": 0.9999247789
} | [
0,
7
] | BOL | Bolivia | [
0,
7
] | [
[
null,
null,
null,
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
7,
0
] | The effects are evident in the social sectors (health, education, housing), economic (agriculture and industry) and infrastructure and services, which affect the way of life and production of the most vulnerable populations. From 1982 to 2014, more than 4 million people have been directly affected by these phenomena, reaching about | The effects are evident in the social sectors (health, education, housing), economic (agriculture and industry) and infrastructure and services, which affect the way of life and production of the most vulnerable populations. From 1982 to 2014, more than 4 million people have been directly affected by these phenomena, reaching about 40% of the population with an economic impact between 1-2% of GDP, depending on the severity of the weather event. By 2030, 27% of the country could be affected by persistent drought and 24% with highly recurrent floods. | [
0,
7
] | [
"First NDC"
] | [
"Addressing the challenges of the most climate-affected and vulnerable",
"Increasing investments in climate change and health (research, health adaptation for population health and health system resilience)"
] | [
[
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Agroforestry"
},
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Crops"
},
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
],
[
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Water",
"SubSector": "Water conservation and reuse"
},
{
"Alpha2": "BO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Water",
"SubSector": "Water sanitation"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999344349
} | [
0,
5
] | VUT | Vanuatu | [
0,
5
] | [
[
null,
null
],
[
null
],
[
null,
null
]
] | [
"CW"
] | [
5,
0
] | The effects of climate change on agriculture production, fisheries, human health, tourism and well-being will have the consequences of decreasing national income while increasing key social and infrastructure costs. Climate change may affect all areas of life for Ni-Vanuatu people and impact women, men and young people in different ways. | The effects of climate change on agriculture production, fisheries, human health, tourism and well-being will have the consequences of decreasing national income while increasing key social and infrastructure costs. Climate change may affect all areas of life for Ni-Vanuatu people and impact women, men and young people in different ways. | [
2,
3
] | [
"First NDC"
] | [
"\"Climate change and infrastructure\" (9)",
"Human Health",
"Infrastructure"
] | [
[
{
"Alpha2": "VU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "VU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Infrastructure"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
],
[
{
"Alpha2": "VU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "VU",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Water",
"SubSector": "Infrastructure"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999308586
} | [
0,
5
] | ALB | Albania | [
0,
5
] | [
[
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
5,
0
] | The effects of these climate changes have led to an increase in the demand for irrigation water, as well as the demand for chemical treatments to protect plants from diseases and pests. Livestock. As a result of floods, in addition to the loss of fodder crops some poultry have been | The effects of these climate changes have led to an increase in the demand for irrigation water, as well as the demand for chemical treatments to protect plants from diseases and pests. Livestock. As a result of floods, in addition to the loss of fodder crops some poultry have been also lost. The biggest damages were caused in the northwest (Shkoder and Lezha regions). Higher temperatures during summertime and lower precipitation strongly affect grazing systems because of their dependence on climatic conditions and limited adaptation opportunities49. | [
0,
5
] | [
"Revised First NDC"
] | [
"Locally Led Adaptation"
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector_3",
"QuestionDefinition": "GCA_Sector_3",
"QuestionText": "Adapt Now sector (3)",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"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": "Environment",
"SubSector": "Environment: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "LULUCF/Forestry",
"SubSector": "Wetlands"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.999938488
} | [
0,
5
] | COG | Republic of Congo | [
0,
5
] | [
[
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
5,
0
] | The efforts that the Congo is deploying in terms of conservation and sustainable management of forest ecosystems are enormous. Stakeholders at the national level consider these efforts to be enormous and invite the international community to recognize not only its efforts, but also to reward the efforts of the country. | The efforts that the Congo is deploying in terms of conservation and sustainable management of forest ecosystems are enormous. Stakeholders at the national level consider these efforts to be enormous and invite the international community to recognize not only its efforts, but also to reward the efforts of the country. c). How the Party has dealt with paragraph 3 of Article 4 of the Paris Agreement. | [
0,
5
] | [
"Revised First NDC"
] | [
"Boosting efforts to warn, respond, and protect"
] | [
[
{
"Alpha2": "CG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "CG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "CG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"Alpha2": "CG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Health",
"SubSector": "Health: General"
},
{
"Alpha2": "CG",
"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"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999303818
} | [
0,
2
] | MOZ | Mozambique | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | The elaboration of the H-Nap is based on the results and recommendation of the assessment of vulnerability and adaptation to climate change of the health sector in Mozambique conducted in 2019. The Plan is being developed with collaboration of MISAU, INS, Eduardo Mondlane University with technical and financial support from | The elaboration of the H-Nap is based on the results and recommendation of the assessment of vulnerability and adaptation to climate change of the health sector in Mozambique conducted in 2019. The Plan is being developed with collaboration of MISAU, INS, Eduardo Mondlane University with technical and financial support from WHO through funds from the Government of Flanders. BIODIVERSITY. Planning and management of biodiversity and coastal ecosystems 4.6.2.3. Rehabilitation of deforested areas for pasture creation, agriculture practice, forest resources exploitation 4.6.2.3.3.1. Ensuring the protection of biodiversity (4.6.1.6.1. | [
2,
0
] | [
"Revised First NDC"
] | [
"Biodiversity (Planning and management of biodiversity and coastal ecosystems): “Rehabilitation of deforested areas for pasture creation, agriculture practice, forest resources exploitation” (p. 42-43)",
"Health: “Elaboration of the Health Sector Climate Change Adaptation Plan and finalization is expected by the end of November 2021. The elaboration of the H-Nap is based on the results and recommendation of the assessment of vulnerability and adaptation to climate change of the health sector in Mozambique conducted in 2019. The Plan is being developed with collaboration of MISAU, INS, Eduardo Mondlane University with technical and financial support from WHO through funds from the Government of Flanders.” (p. 42-43)"
] | [
[
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
}
],
[
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Health: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999332428
} | [
1,
0
] | BHS | The Bahamas | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The electricity and transport sectors are the main usage sectors of fossil fuels in the country and the electricity demand is expected to increase in the medium term. Accordingly the Government has defined the policy framework for a low carbon development plan through the National Energy Policy, that sets a | The electricity and transport sectors are the main usage sectors of fossil fuels in the country and the electricity demand is expected to increase in the medium term. Accordingly the Government has defined the policy framework for a low carbon development plan through the National Energy Policy, that sets a target to achieve a minimum of 30% renewables in the energy mix by 2030 and will allow for a 10% Residential Energy Self Generation Programme within the year. | [
0,
1
] | [
"INDC"
] | [
"10% Residential Energy Self Generation Programmes"
] | [
[
{
"Alpha2": "BS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999332428
} | [
1,
0
] | BHS | The Bahamas | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The electricity and transport sectors are the main usage sectors of fossil fuels in the country, and electricity demand is expected to increase in the medium term. Accordingly, the Government has defined the policy framework for a low carbon development plan through the National Energy Policy, that sets a national | The electricity and transport sectors are the main usage sectors of fossil fuels in the country, and electricity demand is expected to increase in the medium term. Accordingly, the Government has defined the policy framework for a low carbon development plan through the National Energy Policy, that sets a national target to achieve a minimum of 30% renewables in the energy mix by 2030, and will allow for a 10% Residential Enerv Self Generation Programme within the year. | [
0,
1
] | [
"First NDC"
] | [
"10% Residential Energy Self Generation Programme within the year"
] | [
[
{
"Alpha2": "BS",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9998584986
} | [
0,
2
] | SOM | Somalia | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The elephant (Lexodonta Africana), black rhino (Deceros bicornis), lion (Panthera Leo), and Swayne’s hartebeest (Alcelaphus buselaphus swaynei) have been wiped out from most of the country, while the wild ass (Equus asinus somalicus) that once numbered in the thousands has been reduced to just a few dozen. 1.4. Environmental Challenges | The elephant (Lexodonta Africana), black rhino (Deceros bicornis), lion (Panthera Leo), and Swayne’s hartebeest (Alcelaphus buselaphus swaynei) have been wiped out from most of the country, while the wild ass (Equus asinus somalicus) that once numbered in the thousands has been reduced to just a few dozen. 1.4. Environmental Challenges Resulting from Charcoal Production and Export. | [
0,
2
] | [
"First NDC"
] | [
"Addressing the challenges of the most climate-affected and vulnerable"
] | [
[
{
"Alpha2": "SO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Land and soil management"
},
{
"Alpha2": "SO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Food security"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999937892
} | [
0,
1
] | PRT | Portugal | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 38, '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': 'Hydrogen', 'mode_water': nan, 'mode_truck': nan, '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_Hydrogen', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | The emergence of new energy vectors, such as hydrogen, is gradually coming to fruition, reaching an overall contribution of 4% in final energy consumption by 2050, but which will be an important decarbonisation vector in some sectors with few alternative technological options, such as heavy passenger and freight transport, a | The emergence of new energy vectors, such as hydrogen, is gradually coming to fruition, reaching an overall contribution of 4% in final energy consumption by 2050, but which will be an important decarbonisation vector in some sectors with few alternative technological options, such as heavy passenger and freight transport, a sector which will represent, in 2050, 40% to 68% of the demand for heavy transport. This hydrogen will be produced mainly by alkaline electrolysis using renewable electricity, and by 2050, 5% to 8% of all electricity produced will be used for hydrogen generation. | [
0,
0
] | [
"LTS"
] | [
"hydrogen"
] | [
[
null
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999240637
} | [
0,
1
] | ZMB | Zambia | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The emission reduction targets of 25% with limited international support and 47% with substantial international support was calculated based on the 1996 IPCC guidelines, however there has been a recalculation using the 2006 IPCC guidelines in the Third National Communication and the First Biennial Update Report which resulted in a | The emission reduction targets of 25% with limited international support and 47% with substantial international support was calculated based on the 1996 IPCC guidelines, however there has been a recalculation using the 2006 IPCC guidelines in the Third National Communication and the First Biennial Update Report which resulted in a base year emission level of 120,604 Gg CO2 equivalents.↩. GRZ 2015: Zambia National Strategy to Reduce Emissions from Deforestation and Forest Degradation↩ | [
0,
1
] | [
"Revised First NDC"
] | [
"Zambia National Strategy to Reduce Emissions from Deforestation and Forest Degradation"
] | [
[
{
"Alpha2": "ZM",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "LULUCF/Forestry",
"SubSector": "REDD+"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.999935627
} | [
1,
0
] | MNE | Montenegro | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The emission reductions anticipated by 2030 are mainly due to the temporary closure of the plant in 2021 and 2022 due to refurbishment. 0. 1178. 2E. Carbon pricing for TPP. The Decree on activities which emit greenhouse gases, and for which a permit for GHG emission is issued, has been | The emission reductions anticipated by 2030 are mainly due to the temporary closure of the plant in 2021 and 2022 due to refurbishment. 0. 1178. 2E. Carbon pricing for TPP. The Decree on activities which emit greenhouse gases, and for which a permit for GHG emission is issued, has been in force since February 2020. With this decree the emissions of industrial and energy plants are limited by the introduction of a national emissions trading system. | [
0,
1
] | [
"Revised First NDC"
] | [
"1178 GgCO2eq"
] | [
[
{
"Alpha2": "ME",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
2,
0
] | {
"label": "en-US",
"score": 0.9999358654
} | [
0,
2
] | TZA | United Republic of Tanzania | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | The emissions reduction is subject to review after the first Biennial Update Report (BUR). In the transport sector, Tanzania has a total railway track length of 3,687 km and a tarmac road network of 17,742 km that promote mass transport. In addition, the rapid transport and mass marine transport systems | The emissions reduction is subject to review after the first Biennial Update Report (BUR). In the transport sector, Tanzania has a total railway track length of 3,687 km and a tarmac road network of 17,742 km that promote mass transport. In addition, the rapid transport and mass marine transport systems are being improved. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"Mass Rapid Transport Systems",
"Mass Rapid Transport Systems"
] | [
[
{
"Alpha2": "TZ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "TZ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999349117
} | [
0,
1
] | USA | United States of America | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The emissions reduction pathways for buildings consider ongoing government support for energy efficiency and efficient electric heating and cooking in buildings via funding for retrofit programs, wider use of heat pumps and induction stoves, and adoption of modern energy codes for new buildings. The United States will also invest in | The emissions reduction pathways for buildings consider ongoing government support for energy efficiency and efficient electric heating and cooking in buildings via funding for retrofit programs, wider use of heat pumps and induction stoves, and adoption of modern energy codes for new buildings. The United States will also invest in new technologies to reduce emissions associated with construction, including for high-performance electrified buildings. Industry: Emissions in the heavy industry sector come from energy use, including onsite fuel burning as well as electricity, and direct emissions resulting from industrial processes. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The United States will also invest in new technologies to reduce emissions associated with construction, including for high-performance electrified buildings.\""
] | [
[
{
"Alpha2": "US",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct8",
"QuestionDefinition": "Technology needed for a given sectoral downstream action ",
"QuestionText": "Technology needs",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
]
] |
[
0,
10
] | {
"label": "en-US",
"score": 0.9999183416
} | [
10,
0
] | ETH | Ethiopia | [
10,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
10
] | The emissions reduction, which constitutes a reduction of 255 MtCO2e or 64% compared to ‘business-as-usual’ (BAU) emissions in 2030, includes 90 Mt CO2e from agriculture; 130 Mt CO2e from forestry; 20 Mt CO2e from industry; 10 Mt CO2e from transport; and 5 Mt CO2e from buildings. This does not include | The emissions reduction, which constitutes a reduction of 255 MtCO2e or 64% compared to ‘business-as-usual’ (BAU) emissions in 2030, includes 90 Mt CO2e from agriculture; 130 Mt CO2e from forestry; 20 Mt CO2e from industry; 10 Mt CO2e from transport; and 5 Mt CO2e from buildings. This does not include the reduction of 19 Mt CO2e in neighbouring countries due to the export of electric power to them from Ethiopia. | [
0,
10
] | [
"First NDC",
"INDC"
] | [
"-10 MtCO2e by 2030",
"-130 MtCO2e by 2030",
"-19 MtCO2e by 2030 due to export of electric power",
"-20 MtCO2e by 2030",
"-90 MtCO2e by 2030",
"-10 MtCO2e by 2030",
"-130 MtCO2e by 2030",
"-19 MtCO2e by 2030 due to export of electric power",
"-20 MtCO2e by 2030",
"-90 MtCO2e by 2030"
] | [
[
{
"Alpha2": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "ET",
"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": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Industries",
"SubSector": "Industries: General"
}
],
[
{
"Alpha2": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "ET",
"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": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Industries",
"SubSector": "Industries: General"
}
],
[
{
"Alpha2": "ET",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999324083
} | [
1,
0
] | TUN | Tunisia | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The emissions trajectory was first simulated through a modelling method using the ENERMED foresight tool, as for the baseline case. Thanks to the LC scenario, emissions from the energy sector would be 34% lower than in the BaU scenario, totalling less than 27 MteCO2 by 2030, which would represent a | The emissions trajectory was first simulated through a modelling method using the ENERMED foresight tool, as for the baseline case. Thanks to the LC scenario, emissions from the energy sector would be 34% lower than in the BaU scenario, totalling less than 27 MteCO2 by 2030, which would represent a 9% decrease compared to 2010. The avoided emissions thanks to the LC scenario (difference with the BaU emissions level), according to the top-down approach, would be of the order of 63 MteCO2 cumulated over the period 2021-2030. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Under the BaC scenario, emissions from the energy sector would be 34% lower than those from the BaU scenario, totalling around 27 MteCO2 by 2030, which would represent a 9% decrease compared to 2010 emissions.\""
] | [
[
{
"Alpha2": "TN",
"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"
}
]
] |
[
2,
2
] | {
"label": "en-US",
"score": 0.9999350309
} | [
0,
4
] | TUV | Tuvalu | [
4,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
4
] | The energy efficiency programme will include public education, energy audits and technology improvements. A proposed World Bank project is aimed at providing additional energy generation from solar PV and will include investment in modest wind-power capacity. | The energy efficiency programme will include public education, energy audits and technology improvements. A proposed World Bank project is aimed at providing additional energy generation from solar PV and will include investment in modest wind-power capacity. | [
2,
2
] | [
"First NDC",
"INDC"
] | [
"Energy efficiency programme: public education, energy audits and technology improvements",
"Proposed World Bank project on energy generation from solar PV",
"Energy efficiency programme: public education, energy audits and technology improvements",
"Proposed World Bank project on energy generation from solar PV"
] | [
[
{
"Alpha2": "TV",
"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": "Energy Efficiency"
}
],
[
{
"Alpha2": "TV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "TV",
"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": "Energy Efficiency"
}
],
[
{
"Alpha2": "TV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999382496
} | [
0,
2
] | AGO | Angola | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | The energy generated will be a result of a total installed capacity of 100 MW and will produce power through 50 wind turbines, with a rated individual potency of 2MW. The wind farm has a main objective of generate electricity to the interconnected national system. This energy will reduce the | The energy generated will be a result of a total installed capacity of 100 MW and will produce power through 50 wind turbines, with a rated individual potency of 2MW. The wind farm has a main objective of generate electricity to the interconnected national system. This energy will reduce the amount of energy produced by the power plants that runs using fossil fuel, inserting renewable energy into the system. | [
2,
0
] | [
"First NDC",
"INDC"
] | [
"13 (681 MW) wind energy projects<br>Tombwa Wind Farm",
"13 (681 MW) wind energy projects<br>Tombwa Wind Farm"
] | [
[
{
"Alpha2": "AO",
"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": "AO",
"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"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999228716
} | [
1,
0
] | GNB | Guinea Bissau | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The energy sector s GHG emissions would drop from around 372 ktCO2e in 2020 to only 393 ktCO2e for the mitigation scenario, i.e., an average annual growth of 0.6% per year against 6.6% in the case of the baseline scenario. | The energy sector s GHG emissions would drop from around 372 ktCO2e in 2020 to only 393 ktCO2e for the mitigation scenario, i.e., an average annual growth of 0.6% per year against 6.6% in the case of the baseline scenario. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The energy sector's GHG emissions would drop from around 372 ktCO2e in 2020 to only 393 ktCO2e for the mitigation scenario, i.e., an average annual growth of 0.6% per year against 6.6% in the case of the baseline scenario.\""
] | [
[
{
"Alpha2": "GW",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999328852
} | [
0,
1
] | JOR | Jordan | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The energy strategy sought to increase reliance on local energy sources to 25 % by 2015, and up to 39 % by 2020 as set in 2020 Energy Strategy. Placing more emphasis on the utilization of renewable energies will alleviate the dependency on the traditional energy sources, especially oil, which | The energy strategy sought to increase reliance on local energy sources to 25 % by 2015, and up to 39 % by 2020 as set in 2020 Energy Strategy. Placing more emphasis on the utilization of renewable energies will alleviate the dependency on the traditional energy sources, especially oil, which is imported from neighboring countries. This will also be paralleled with the reduction of energy produced from oil from 82% in 2013 to reach 50% in 2020. | [
0,
1
] | [
"First NDC"
] | [
"2020 (15)"
] | [
[
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999334812
} | [
0,
1
] | MKD | Macedonia | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The enhanced NDC encompasses mitigation action enabling PAMs like carbon pricing, pursuing regional energy markets integration, strengthening the role of SME, PAMs in the area of research and innovation and other measures. For each PAM, the finances needed are specified, as well as the potential sources of finances. For each | The enhanced NDC encompasses mitigation action enabling PAMs like carbon pricing, pursuing regional energy markets integration, strengthening the role of SME, PAMs in the area of research and innovation and other measures. For each PAM, the finances needed are specified, as well as the potential sources of finances. For each PAM, the implementing and the monitoring entities/institutions are identified. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The enhanced NDC encompasses mitigation action enabling PAMs like carbon pricing, pursuing regional energy markets integration, strengthening the role of SME, PAMs in the area of research and innovation and other measures.\""
] | [
[
{
"Alpha2": "MK",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999352694
} | [
1,
0
] | MKD | Republic of North Macedonia | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 4, 'renewable_energy_target': 'T_REN', 'transport_target_type': 'T_O_REN', 'target_year': 2030, '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': 0, 'region': 'Europe', 'parameter': 'T_Transport_O_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 8.92378404621583, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 1.96248251046988}"
]
] | [
"IKITracs"
] | [
0,
1
] | The enhanced NDC is focused on mitigation area, with a vision to include adaptation component in the subsequent submissions, once the relevant national strategic and planning documents are prepared and adopted. The main components of NDC enhancement1 are realized in the following areas: Mitigation ambition, Implementation and Communication 1 The | The enhanced NDC is focused on mitigation area, with a vision to include adaptation component in the subsequent submissions, once the relevant national strategic and planning documents are prepared and adopted. The main components of NDC enhancement1 are realized in the following areas: Mitigation ambition, Implementation and Communication 1 The enhancement components are provided taking reference from WRI and UNDP guidance (Enhancing NDCs: A Guide to Strengthening National Climate Plans by 2020) 2 The projected sinks in 2030, that are assumed to be realized with the implementation of the planned measures are only 7% higher than the sinks in 2014 CLIMATE ACTION NOW Enhancement components Enhanced NDC (2021) Initial NDC (2015) Mitigation ambition Strengthen the GHG target - End-year type of target (2030 emissions level compared to 1990 emissions level) - Compatibility and comparability with EU target - Absolute emission reduction in 2030 compared to - Deviation from BAU type of target in 2030 - Absolute emission reduction in 2030 compared to BAU: Strengthen or add policies and actions: - 63 mitigation policies and measures (PAMs) in the following sectors: Energy (incl: Energy Supply, Residential and Non-specified, Industry, Transport) Agriculture, Land Use, Land Use Change and Forestry (LULUCF) Waste Additional PAMs (enablers of mitigation action) - Emissions coverage: Economy-wide target - - 17(+9 in higher ambition scenario) mitigation PAMs in the following sectors: Energy supply Buildings Transport - Emissions coverage: Emissions from fossil fuel combustion - GHGs covered: CO2 Strengthen or add a sectoral non-GHG target: The enhanced NDC is coherent with the following sectoral non-GHG targets in 2030 stipulated in the draft National Energy and Climate Plan (NECP): - Renewable Energy Sources (RES) 38% share in gross final energy consumption 66% share in gross electricity production 45% share in gross final energy consumption for heating and cooling 10% in final energy consumption in transport - Energy Efficiency (EE) 20.8% savings of final energy consumption relative to BAU scenario 34.5% savings of primary energy consumption relative to BAU scenario Align implementation of the existing NDC with long term goals: The enhanced NDC echoes the Green scenario from the National Strategy for Energy Development up to 2040 and is fully aligned with the draft National Energy and Climate Plan (NECP). | [
0,
0
] | [
"Revised First NDC"
] | [
"Renewable energy sources: 10% in final energy consumption in transport "
] | [
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999338388
} | [
0,
2
] | SWZ | Eswatini | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The enhanced NDC of Eswatini comes at an opportune moment as the country is developing a new National Development Plan (NDP), National Adaptation Plan (NAP), Adaptation Communication and revising its National Development Strategy (NDS). The revision of NDC allowed the country to take cognizance of the recent findings on the | The enhanced NDC of Eswatini comes at an opportune moment as the country is developing a new National Development Plan (NDP), National Adaptation Plan (NAP), Adaptation Communication and revising its National Development Strategy (NDS). The revision of NDC allowed the country to take cognizance of the recent findings on the gaps and needs related to global climate action. | [
0,
2
] | [
"Revised First NDC"
] | [
"Developing new technologies for health adaptation (vaccines, data, AI, heat related, vector-borne diseases)"
] | [
[
{
"Alpha2": "SZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Health services and assessment"
},
{
"Alpha2": "SZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Wastewater treatment"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999266863
} | [
0,
6
] | ARG | Argentina | [
0,
6
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
6,
0
] | The enrichment, conservation, restoration, improvement, and sustainable management of native forests;. The increase in irrigated crop area and improvement in water resource management;. The improvement in decision making on crop management;. The reduction in vulnerability and strengthening of processes in health management related to the direct and indirect impact of | The enrichment, conservation, restoration, improvement, and sustainable management of native forests;. The increase in irrigated crop area and improvement in water resource management;. The improvement in decision making on crop management;. The reduction in vulnerability and strengthening of processes in health management related to the direct and indirect impact of climate change;. The implementation of structural and non structural measures to face extreme events; and. The promotion of biodiversity conservation and Adaptation based on Ecosystems. In most of these cases, the measures have been identified with cost/benefit analyses undertaken. Disclaimer. | [
6,
0
] | [
"INDC"
] | [
"The enrichment, conservation, restoration, improvement, and sustainable management of native forests",
"The implementation of structural and non structural measures to face extreme events",
"The improvement in decision making on crop management",
"The increase in irrigated crop area and improvement in water resource management",
"The promotion of biodiversity conservation and Adaptation based on Ecosystems.",
"The reduction in vulnerability and strengthening of processes in health management related to the direct and indirect impact of climate change"
] | [
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
],
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster relief and recovery"
}
],
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Agriculture",
"SubSector": "Crops"
}
],
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999376535
} | [
0,
3
] | KOR | Republic of Korea | [
3,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', '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': 'Green public procurement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'A_Procurement', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, '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': 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': 'x', 'indicator': 'General vehicle improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Vehicleimprove', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger, E_Freight', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'Financial instruments to support decarbonisation', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'OECD', 'mode_two-/three-wheelers': 'x', 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'A_Finance', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
3
] | The environment-friendly vehicle deployment target scheme requires automakers to produce and sell a certain percentage (15% in 2020) of eco-friendly vehicles of their new car sales. From 2020, the public sector can purchase eco-friendly vehicles only. We are providing eco-friendly vehicle subsidies for different type of vehicles ranging from passenger | The environment-friendly vehicle deployment target scheme requires automakers to produce and sell a certain percentage (15% in 2020) of eco-friendly vehicles of their new car sales. From 2020, the public sector can purchase eco-friendly vehicles only. We are providing eco-friendly vehicle subsidies for different type of vehicles ranging from passenger cars, to buses, trucks, and two-wheelers. The Government is focusing on building necessary infrastructure to ensure EV drivers could easily find charging stations available nationwide. | [
0,
0
] | [
"LTS"
] | [
"From 2020, the public sector can purchase eco-friendly vehicles only.",
"The environment-friendly vehicle deployment target scheme requires automakers to produce and sell a certain percentage (15% in 2020) of eco-friendly vehicles of their new car sales. ",
"We are providing eco-friendly vehicle subsidies for different type of vehicles ranging from passenger cars, to buses, trucks, and two-wheelers."
] | [
[
null
],
[
null
],
[
null
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.999935627
} | [
0,
1
] | KWT | Kuwait | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The environmental law also paves the way for the development, adoption, and implementation of a national strategy to reduce the state’s consumption of energy and diversify energy sources, especially increasing the percentage of clean energies, in order to achieve the vision of His Highness the late Amir of the State | The environmental law also paves the way for the development, adoption, and implementation of a national strategy to reduce the state’s consumption of energy and diversify energy sources, especially increasing the percentage of clean energies, in order to achieve the vision of His Highness the late Amir of the State of Kuwait, where His Highness announced the State of Kuwait’s endeavor to increase its energy needs from renewable energy sources by 2030. 2-Legislation and laws adapting to the negative effects of climate changes:The Environmental Protection Law No. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"The environmental law also paves the way for the development, adoption, and implementation of a national strategy to reduce the state’s consumption of energy and diversify energy sources, especially increasing the percentage of clean energies, in order to achieve the vision of His Highness the late Amir of the State of Kuwait, where His Highness announced the State of Kuwait’s endeavor to increase its energy needs from renewable energy sources by 2030\""
] | [
[
{
"Alpha2": "KW",
"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": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999213219
} | [
0,
3
] | BFA | Burkina Faso | [
2,
1
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
1,
2
] | The equipment of 75,000 households in 2030 with functional biodigesters in at least ten regions of Burkina Faso. 18,000. 189,000,000. 75,000 households. 75,000. 2520. Creation and sustained management of 5 animal production intensification zones (APIZ) in five regions of the country. 300. 119,000,000. 5 APIZ’s. 142,000. 838. Biomass energy sector. | The equipment of 75,000 households in 2030 with functional biodigesters in at least ten regions of Burkina Faso. 18,000. 189,000,000. 75,000 households. 75,000. 2520. Creation and sustained management of 5 animal production intensification zones (APIZ) in five regions of the country. 300. 119,000,000. 5 APIZ’s. 142,000. 838. Biomass energy sector. 1,220. 87,696,000. 3,600,000. 24.4. Production and distribution of improved cook stoves in urban and semi-urban areas. 610. 12,096,000. | [
3,
0
] | [
"First NDC",
"INDC"
] | [
"Bioenergy<br>NAMA in Biomass Sector",
"Bioenergy<br>NAMA in Biomass Sector",
"Creation and sustained management of 5 animal production intensification zones (APIZ) in five regions of the country."
] | [
[
{
"Alpha2": "BF",
"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": "BF",
"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": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999322891
} | [
0,
2
] | ARG | Argentina | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The equity, justice and ambition of this Contribution are analyzed from various perspectives, understanding that there is no single indicator that can accurately reflect a globally equitable, fair and ambitious distribution of the efforts of the Parties. In the case of Argentina, the factors that explain the profile and trend | The equity, justice and ambition of this Contribution are analyzed from various perspectives, understanding that there is no single indicator that can accurately reflect a globally equitable, fair and ambitious distribution of the efforts of the Parties. In the case of Argentina, the factors that explain the profile and trend of its emissions and removals do not respond to merely population or economic aspects, so the emission intensity indicators do not fully address equity, justice and ambition of the country s efforts. | [
0,
2
] | [
"Second NDC"
] | [
"Boosting efforts to warn, respond, and protect"
] | [
[
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
},
{
"Alpha2": "AR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
14
] | {
"label": "en-US",
"score": 0.9999369383
} | [
0,
14
] | PER | Peru | [
0,
14
] | [
[
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
14,
0
] | The established goals try to reach a main objective for 2030: “Peru adapts to the adverse effects and takes advantage of the opportunities imposed by climate change.”[12]: Scopes, objectives and goals were identified under this vision for each sector / system. | The established goals try to reach a main objective for 2030: “Peru adapts to the adverse effects and takes advantage of the opportunities imposed by climate change.”[12]: Scopes, objectives and goals were identified under this vision for each sector / system. | [
0,
14
] | [
"First NDC"
] | [
"2030"
] | [
[
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster Risk Management (DRM): General"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Monitoring and Evaluation System"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Health",
"SubSector": "Health: General"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Social Development",
"SubSector": "Gender"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Social Development",
"SubSector": "Poverty reduction"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Social Development",
"SubSector": "Social Development: General"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Urban",
"SubSector": "Sustainable urban planning"
},
{
"Alpha2": "PE",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Water",
"SubSector": "Water management"
}
]
] |
[
4,
0
] | {
"label": "en-US",
"score": 0.9999337196
} | [
0,
4
] | ISR | Israel | [
4,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
4
] | The establishment of mechanisms leveraging large scale private funding together with public funding of energy efficiency projects;. A program of tenders for renewable energy. The 17% renewable energy target is substantially more ambitious than Israel’s current 10% target for 2020;. Removal of barriers for the uptake of renewable energy;. Measures | The establishment of mechanisms leveraging large scale private funding together with public funding of energy efficiency projects;. A program of tenders for renewable energy. The 17% renewable energy target is substantially more ambitious than Israel’s current 10% target for 2020;. Removal of barriers for the uptake of renewable energy;. Measures to increase the use of natural gas. | [
0,
4
] | [
"First NDC",
"INDC"
] | [
"Mechanisms leveraging large scale funding of energy efficiency projects",
"Removal of barriers for the uptake of renewable energy",
"Mechanisms leveraging large scale funding of energy efficiency projects",
"Removal of barriers for the uptake of renewable energy"
] | [
[
{
"Alpha2": "IL",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "IL",
"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"
}
],
[
{
"Alpha2": "IL",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "IL",
"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"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999334812
} | [
0,
1
] | BHS | The Bahamas | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The establishment of the National Forest Estate will deliver global environmental benefits along with domestic livelihood support and human development. It will safeguard future land degradation on the Pine Forest Islands through the improvement of the provision of forest ecosystem goods and services. It will reduce GHG emissions from deforestation | The establishment of the National Forest Estate will deliver global environmental benefits along with domestic livelihood support and human development. It will safeguard future land degradation on the Pine Forest Islands through the improvement of the provision of forest ecosystem goods and services. It will reduce GHG emissions from deforestation and forest degradation and increase carbon sequestration. | [
0,
1
] | [
"INDC"
] | [
"National Forest Estate"
] | [
[
{
"Alpha2": "BS",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Land Management"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999339581
} | [
0,
2
] | LAO | Laos | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | The estimate of the emissions based on following assumption:90% or 1,108,609 households will be electrified by 2020. 60% of the household lives rural area and consumes on average 30 litres of kerosene and diesel per year. Therefore the achievement of the rural electrification goal would reduce the use of kerosene | The estimate of the emissions based on following assumption:90% or 1,108,609 households will be electrified by 2020. 60% of the household lives rural area and consumes on average 30 litres of kerosene and diesel per year. Therefore the achievement of the rural electrification goal would reduce the use of kerosene and diesel about 19.95 million litres. | [
2,
0
] | [
"First NDC",
"INDC"
] | [
"Grid expansion: rural electrification: replacing kerosene and diesel generators for 1,108,609 households",
"Grid expansion: rural electrification: replacing kerosene and diesel generators for 1,108,609 households"
] | [
[
{
"Alpha2": "LA",
"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": "Supply-side Efficiency"
}
],
[
{
"Alpha2": "LA",
"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": "Supply-side Efficiency"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999015331
} | [
0,
1
] | MKD | Republic of North Macedonia | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 77, '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': 'x', '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 active 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': 'Europe', 'parameter': 'S_Activemobility', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | The estimated carbon sinks for 2050 are on level very close to the reported sinks of the FOLU sector in the year 2016. Introduction of CO2 tax Reduction of network losses Large hydropower plants Incentives feed-in tariff Incentives feed-in premium Biomass power plants (CHP optional) Solar rooftop power plants RES | The estimated carbon sinks for 2050 are on level very close to the reported sinks of the FOLU sector in the year 2016. Introduction of CO2 tax Reduction of network losses Large hydropower plants Incentives feed-in tariff Incentives feed-in premium Biomass power plants (CHP optional) Solar rooftop power plants RES without incentives Energy efficiency obligation schemes Solar thermal collectors Labelling of electric appliances and equipment Increased use of heat pumps Public awareness campaigns and network of EE info centres (Including Cost of investment in advanced technologies) Retrofitting of existing residential, commercial, central government, and local self-government buildings Construction of new buildings (at least class C) Construction of passive buildings Phasing out of incandescent lights Improvement of the street lighting in the municipalities Green procurements Increased use of central heating systems Energy management in manufacturing industries Introduction of efficient electric motors Introduction of more advanced technologies Increased use of the railway Renewing of the national car fleet Renewing of other national road fleet Advanced mobility (walking, cycling and electric scooters) Construction of the railway to the Republic of Bulgaria Electrification of the transport Reduction of CH4 emissions from enteric fermentation in dairy cows by 3% Reduction of N2O emissions from manure management in dairy cows by 20% Reduction of NO2 emissions from manure management in swine farms by 13% Reduction of N2O emissions from manure in dairy cows by 20% for farms below 50 Livestock Units Establishing integrated management of forest fires Afforestation Conversion of land use of field crops above 15% inclination Contour cultivation on areas under field crops on inclined Perennial grass in orchard and vineyards on inclined Use of biochar for carbon sink on agricultural land Photovoltaic irrigation Landfill gas flaring Mechanical and biological treatment (MBT) in new landfills with composting Selection of waste - paper Improved waste and materials management at industrial facilities Measures to achieve emissions reductions Long-term Strategy on Climate Action and Action Plan economy wide cost reduction of €16 billion compared to the WEM Scenario. | [
0,
0
] | [
"LTS"
] | [
"Advanced mobility (walking, cycling and electric scooters) "
] | [
[
null
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999296665
} | [
0,
1
] | SUR | Suriname | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The estimated carbon stock of mangroves is assumed to pertain to the carbon above ground only.↩︎. The current FREL is based on the estimated trends in carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions from deforestation and CO2 emissions from forest degradation. It excludes litter and soil organic | The estimated carbon stock of mangroves is assumed to pertain to the carbon above ground only.↩︎. The current FREL is based on the estimated trends in carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions from deforestation and CO2 emissions from forest degradation. It excludes litter and soil organic carbon in the absence of adequate data.↩︎. | [
0,
1
] | [
"Second NDC"
] | [
"Carbon pricing and proxies from avoided deforestation models"
] | [
[
{
"Alpha2": "SR",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "LULUCF/Forestry",
"SubSector": "Conservation"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999365807
} | [
3,
0
] | TTO | Trinidad and Tobago | [
2,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 1, '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_BYE', 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Transport_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 32.74377145716, 'ghg_transport_target_type': 'GHG unconditional only', 'g20': 0, 'target_scope': 'T_SUB', 'ghg_transport': 2.743691399}"
],
[
null
],
[
null
]
] | [
"CW",
"IKITracs"
] | [
0,
3
] | The estimated cost of meeting this objective is USD 2 billion, which is expected to be met partly through domestic funding and conditional on international financing including through the Green Climate Fund. In this regard, Trinidad and Tobago will commit to unconditionally reduce its public transportation emissions by 30% or | The estimated cost of meeting this objective is USD 2 billion, which is expected to be met partly through domestic funding and conditional on international financing including through the Green Climate Fund. In this regard, Trinidad and Tobago will commit to unconditionally reduce its public transportation emissions by 30% or one million, seven hundred thousand tonnes (1,700,000) CO2e compared to 2013 levels by December 31, 2030. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"Unconditionally reduce its public transportation emissions by 30% or one million, seven hundred thousand tonnes (1,700,000) CO2e compared to 2013 levels by December 31, 2030",
"-30% below BAU",
"-30% below BAU"
] | [
[
null
],
[
{
"Alpha2": "TT",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "TT",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
8
] | {
"label": "en-US",
"score": 0.9999339581
} | [
0,
8
] | JOR | Jordan | [
0,
8
] | [
[
null,
null,
null,
null
],
[
null,
null,
null,
null
]
] | [
"CW"
] | [
8,
0
] | The estimated cost to reach the 14% target is totaling USD 5,700,000,000 from which GoJ has already secured. USD 542,750,000 by its own means to meet the unconditional target; which means the Country is in need of USD 5,157,250,000 to fulfill its conditional target. | The estimated cost to reach the 14% target is totaling USD 5,700,000,000 from which GoJ has already secured. USD 542,750,000 by its own means to meet the unconditional target; which means the Country is in need of USD 5,157,250,000 to fulfill its conditional target. | [
4,
4
] | [
"First NDC"
] | [
"\" (14)",
"2013-2017 (14)"
] | [
[
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Awareness raising and behavior change"
},
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
],
[
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Health",
"SubSector": "Awareness raising and behavior change"
},
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999306202
} | [
4,
0
] | KHM | Cambodia | [
4,
0
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | The estimated emission reductions of the NDC scenario are shown below. Overall GHG emissions reduction (including the FOLU). The estimated emissions reduction with the FOLU by 2030 under the NDC scenario will be approximately 64.6 million tCO2e/year (41.7% reduction of which 59.1% is from the FOLU). Summary over BAU emissions | The estimated emission reductions of the NDC scenario are shown below. Overall GHG emissions reduction (including the FOLU). The estimated emissions reduction with the FOLU by 2030 under the NDC scenario will be approximately 64.6 million tCO2e/year (41.7% reduction of which 59.1% is from the FOLU). Summary over BAU emissions and NDC emissions reduction. Sector. BAU 2016 emissions (MtCO2e). BAU 2030 emissions (MtCO2e). NDC 2030 Scenario (MtCO2e). NDC 2030 reduction (MtCO2e). NDC 2030 emission reduction %. FOLU. 76.3. 76.3. 38.2. -38.1. -50%. Energy. 15.1. 34.4. 20.7. -13.7. -40%. | [
0,
4
] | [
"Revised First NDC"
] | [
"Energy: GHG emission reduction (MtCO2e): 13.7",
"FOLU: GHG emission reduction (MtCO2e): 38.1"
] | [
[
{
"Alpha2": "KH",
"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": "KH",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "KH",
"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": "KH",
"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"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999196529
} | [
1,
0
] | JPN | Japan | [
0,
1
] | [
[
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 4, '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_BYE', 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 'G7', 'mena': 0, 'region': 'Asia', 'parameter': 'T_Transport_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 1153.71698398869, 'ghg_transport_target_type': 'GHG unconditional only', 'g20': 'G20', 'target_scope': 'T_ALL', 'ghg_transport': 187.234888849}"
]
] | [
"IKITracs"
] | [
0,
1
] | The estimated emissions in FY 2030 in each sector are shown in Table 1. Table 1 Estimated emissions of energy-originated CO2 in each sector Estimated emissions of each sector in FY 2030 Energy originated Industry Commercial and other Residential Transport Energy conversion The target is set as 6.7% reduction compared | The estimated emissions in FY 2030 in each sector are shown in Table 1. Table 1 Estimated emissions of energy-originated CO2 in each sector Estimated emissions of each sector in FY 2030 Energy originated Industry Commercial and other Residential Transport Energy conversion The target is set as 6.7% reduction compared to FY 2013 level (17.0% reduction compared to FY 2005 level) (approximately 70.8 million t-CO2). The target is set as 12.3% reduction compared to FY 2013 level (18.8% reduction compared to FY 2005 level) (approximately 31.6 million t-CO2eq.). | [
0,
0
] | [
"First NDC"
] | [
"Estimated emissions of transport sector in FY 2030: 163 million t-CO2 as compared to 279 million t-CO2 in FY 2013"
] | [
[
null
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999315739
} | [
4,
0
] | UGA | Uganda | [
4,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
4
] | The estimated range of net emission reductions compared to business-as-usual in 2030 is between 16.9 Million tons Carbon dioxide equivalent per year and 22.2 Million tons Carbon dioxide equivalent per year. . Wetland restoration. The proposed measures for wetland restoration will result in approximately 260,000 hectares of new or restored | The estimated range of net emission reductions compared to business-as-usual in 2030 is between 16.9 Million tons Carbon dioxide equivalent per year and 22.2 Million tons Carbon dioxide equivalent per year. . Wetland restoration. The proposed measures for wetland restoration will result in approximately 260,000 hectares of new or restored wetlands. | [
0,
4
] | [
"First NDC",
"INDC"
] | [
"12% wetland coverage by 2030, resulting in 260,000 ha of new or restored wetlands",
"12% wetland coverage by 2030, resulting in 260,000 hectares of new or restored wetlands",
"12% wetland coverage by 2030, resulting in 260,000 ha of new or restored wetlands",
"12% wetland coverage by 2030, resulting in 260,000 hectares of new or restored wetlands"
] | [
[
{
"Alpha2": "UG",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "Wetlands"
}
],
[
{
"Alpha2": "UG",
"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": "Wetlands"
}
],
[
{
"Alpha2": "UG",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "Wetlands"
}
],
[
{
"Alpha2": "UG",
"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": "Wetlands"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999297857
} | [
0,
1
] | JOR | Jordan | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The estimated total cost for implementing the above mentioned projects and measures is USD 15,000,000. The information of portions of funds secured by the involved sector’s (government) own means versus amount of funds not secured is not available at the time of preparing this document and could be obtained from | The estimated total cost for implementing the above mentioned projects and measures is USD 15,000,000. The information of portions of funds secured by the involved sector’s (government) own means versus amount of funds not secured is not available at the time of preparing this document and could be obtained from the health sector’s involved officials 4.3. Biodiversity, eco-systems, and protected areas adaptation actions. | [
0,
1
] | [
"INDC"
] | [
"USD 160 Million (Un) + External funds"
] | [
[
{
"Alpha2": "JO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConActCost",
"QuestionDefinition": "The estimated costs for sectoral conditional actions",
"QuestionText": "Estimated Cost for Sectoral Conditional Actions ",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999299049
} | [
0,
2
] | MDV | Maldives | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | The evidence from the reefs of the Maldives supports that warming of the ocean surface leads to significant coral bleaching. In some instances, coral reefs surrounding the islands are stressed due to land based sources of pollution. Coral reefs conservation through ecosystem approach as an adaptation measure to increase the | The evidence from the reefs of the Maldives supports that warming of the ocean surface leads to significant coral bleaching. In some instances, coral reefs surrounding the islands are stressed due to land based sources of pollution. Coral reefs conservation through ecosystem approach as an adaptation measure to increase the resilience of the coral reef ecosystem. | [
2,
0
] | [
"First NDC",
"INDC"
] | [
"Coral reefs conservation through ecosystem approach as an adaptation measure to increase the resilience of the coral reef ecosystem.",
"Safeguarding coral reef and its biodiversity: \"Coral reefs conservation through ecosystem approach as an adaptation measure to increase the resilience of the coral reef ecosystem.\" (p. 9)"
] | [
[
{
"Alpha2": "MV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "MV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999315739
} | [
2,
0
] | ALB | Albania | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | The evolution of fuelwood harvest is directly consistent with projections applied in the Energy sector regarding the evolution of fuel mix. The fuelwood consumption increases by 14% between 2016 and 2030 in the BAU scenario, while it decreases by 4% in the NDC scenario. In 2030, the application of this | The evolution of fuelwood harvest is directly consistent with projections applied in the Energy sector regarding the evolution of fuel mix. The fuelwood consumption increases by 14% between 2016 and 2030 in the BAU scenario, while it decreases by 4% in the NDC scenario. In 2030, the application of this measure allows a reduction of the annual emission estimated at -314 kt CO2e compared to the BAU scenario. L2. FOLU. New afforestation areas. Forest land. ECCS, NTP, ISARD, TNC. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"The evolution of fuelwood harvest is directly consistent with projections applied in the Energy sector regarding the evolution of fuel mix. The fuelwood consumption increases by 14% between 2016 and 2030 in the BAU scenario, while it decreases by 4% in the NDC scenario. In 2030, the application of this measure allows a reduction of the annual emission estimated at - 314 kt CO2e compared to the BAU scenario.\""
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "REDD+"
},
{
"Alpha2": "AL",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "LULUCF/Forestry",
"SubSector": "REDD+"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999361038
} | [
0,
1
] | ALB | Albania | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The exclusion of big events from the projection is made for both BAU and NDC scenario so it does not lead to a discrepancy between the NDC and the BAU. L4. Improving efficiency of fuelwood harvest. No reduction of losses. reduction of the losses increases progressively from -0.25% in 2021 | The exclusion of big events from the projection is made for both BAU and NDC scenario so it does not lead to a discrepancy between the NDC and the BAU. L4. Improving efficiency of fuelwood harvest. No reduction of losses. reduction of the losses increases progressively from -0.25% in 2021 to - 3% in 2030. L5. Improved sustainable forest management. No area with improved management. progressively on 5000ha per year + higher sequestration factor. L6. Improved sustainable grassland management to enhance carbon sequestration and protect biodiversity. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Improved sustainable forest management\""
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Forest Management"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999387264
} | [
0,
1
] | CUB | Cuba | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The execution of these programs demands a financial amount of not less than 4 billion dollars. In addition, we work on other projects that include:. The installation of 200 thousand 2 of solar heaters in the residential and industrial sectors. The installation of solar pumps in agriculture. | The execution of these programs demands a financial amount of not less than 4 billion dollars. In addition, we work on other projects that include:. The installation of 200 thousand 2 of solar heaters in the residential and industrial sectors. The installation of solar pumps in agriculture. | [
0,
1
] | [
"First NDC"
] | [
"installation of solar pumps"
] | [
[
{
"Alpha2": "CU",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
]
] |
[
2,
2
] | {
"label": "en-US",
"score": 0.9999265671
} | [
0,
4
] | TGO | Togo | [
2,
2
] | [
[
null
],
[
null,
null
],
[
null
]
] | [
"CW"
] | [
2,
2
] | The existence of the National Programme for Agricultural Investment and Food Security (PNIASA). Initiation of specific adaptation programmes along the lines of the ADAPT project currently being implemented, as well as mitigation programmes. Water Resources. National Policy on Drinking Water Supply and Sanitation in Rural and Semi-Urban Areas, prepared in | The existence of the National Programme for Agricultural Investment and Food Security (PNIASA). Initiation of specific adaptation programmes along the lines of the ADAPT project currently being implemented, as well as mitigation programmes. Water Resources. National Policy on Drinking Water Supply and Sanitation in Rural and Semi-Urban Areas, prepared in April 2006. National Action Plan for the Water and Sanitation Sector(PANSEA). Integrated Water Resource Management(IWRM) Strategy. Water Code (law 2010/004 laying down the water code). | [
2,
2
] | [
"First NDC",
"INDC"
] | [
"Initiation of specific mitigation programmes",
"Water Resources: “Improvement of agricultural water management” (p. 18)",
"Initiation of specific mitigation programmes"
] | [
[
{
"Alpha2": "TG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water management"
},
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "TG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999284744
} | [
2,
0
] | TJK | Tajikistan | [
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_BYE', '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': 8.91852331767593, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 2.56632148}"
],
[
"{'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': 'Asia', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 8.91852331767593, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 2.56632148}"
]
] | [
"IKITracs"
] | [
0,
2
] | The existing assessed contribution of the Republic of Tajikistan to global greenhouse gas emissions is less than 0.02%. In view of a low level of greenhouse gas emissions and a very high share of hydro-power (more than 90%), the level of greenhouse gas emissions of the Republic of Tajikistan will | The existing assessed contribution of the Republic of Tajikistan to global greenhouse gas emissions is less than 0.02%. In view of a low level of greenhouse gas emissions and a very high share of hydro-power (more than 90%), the level of greenhouse gas emissions of the Republic of Tajikistan will amount to 80-90% by 2030, as compared to 1990 (as stated in the INDC); this will ensure the achievement of socially acceptable and scientifically grounded indicators, both in absolute and per capita terms. | [
0,
0
] | [
"First NDC"
] | [
"65-75% of 1990 level by 2030",
"Not to exceed 80-90% of 1990 levels by 2030"
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999269247
} | [
0,
1
] | IND | India | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 35, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': nan, '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': nan, 'a_s_i': nan, 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': nan, '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': nan, 'mode_private_cars': nan, 'category': nan, 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | The expanded use of cleaner fuels comprises of three broad phases: 1. Usage of ethanol, compressed natural gas (CBG), biodiesel and liquified natural gas (LNG) as short- term fuel alternatives. 2. Biodiesel and methanol/dimethyl ether (DME) supplemented by pipeline biogas (Bio-PNG) as medium-term fuel alternatives. For encouraging use of such | The expanded use of cleaner fuels comprises of three broad phases: 1. Usage of ethanol, compressed natural gas (CBG), biodiesel and liquified natural gas (LNG) as short- term fuel alternatives. 2. Biodiesel and methanol/dimethyl ether (DME) supplemented by pipeline biogas (Bio-PNG) as medium-term fuel alternatives. For encouraging use of such fuels, the following measures would be adopted: a. Boost annual ethanol procurement. b. | [
0,
0
] | [
"LTS"
] | [
"Phased transition to cleaner fuels\n1. Usage of ethanol, compressed natural gas (CBG), biodiesel and liquified natural gas (LNG) as short- term fuel alternatives.\n2. Biodiesel and methanol/dimethyl ether (DME) supplemented by pipeline biogas (Bio-PNG) as medium-term fuel alternatives."
] | [
[
null
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999370575
} | [
0,
3
] | CPV | Cape Verde | [
0,
3
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
3,
0
] | The expansion in water supply is to be aligned with measures to improve overall sanitation system, optimize the use of the resources, reduce water distribution losses, and promote rainwater harvesting and water re-use. Project “Building adaptive capacity and resilience to climate change in the water sector”. With assistance from UNDP | The expansion in water supply is to be aligned with measures to improve overall sanitation system, optimize the use of the resources, reduce water distribution losses, and promote rainwater harvesting and water re-use. Project “Building adaptive capacity and resilience to climate change in the water sector”. With assistance from UNDP and GEF, this project aims to create a more systematic response to climate disruptions by developing adaptation policies and measures to better manage climatic vulnerability and by implementing targeted demonstration investments. Water supply project in Santiago. | [
2,
1
] | [
"INDC"
] | [
"Project “Building adaptive capacity and resilience to climate change in the water sector“",
"UNDP, GEF",
"Water supply project."
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Water",
"SubSector": "Water supply"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncActImp",
"QuestionDefinition": "The agency responsible for implementing the sectoral unconditional actions",
"QuestionText": "Implementing Agency for Sectoral Unconditional Actions",
"Sector": "Water",
"SubSector": "Water supply"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Water",
"SubSector": "Water supply"
}
]
] |
[
1,
1
] | {
"label": "en-US",
"score": 0.9999371767
} | [
1,
1
] | BLZ | Belize | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | The expected cumulative emissions reduction would be up to 379Gg CO2 between 2015 and 2030. Transport Sector. Development of a domestic transportation policy and implement the National Transportation Master Plan. Aim is to achieve at least a 20% reduction in conventional transportation fuel use by 2030 and promote energy efficiency | The expected cumulative emissions reduction would be up to 379Gg CO2 between 2015 and 2030. Transport Sector. Development of a domestic transportation policy and implement the National Transportation Master Plan. Aim is to achieve at least a 20% reduction in conventional transportation fuel use by 2030 and promote energy efficiency in the transport sector through appropriate policies and investments. Sustainable Energy Strategy and Action Plan. | [
0,
2
] | [
"First NDC"
] | [
"At least a 20% reduction in conventional transportation fuel use by 2030",
"Development of a domestic transportation policy and implement the National Transportation Master Plan."
] | [
[
{
"Alpha2": "BZ",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "BZ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999351501
} | [
1,
1
] | BLZ | Belize | [
0,
2
] | [
[
"{'IkiSheet': 'implementation', 'page_number': 5, 'region': 'Latin America and the Caribbean', 'parameter': 'P_National', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 4, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_EFF', 'target_year': 2030, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': 'Transport non-GHG targets', 'target_type': nan, 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Transport_O_C', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 0.3709959740903, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.1238981391}"
]
] | [
"IKITracs"
] | [
0,
2
] | The expected cumulative emissions reduction would be up to between 2015 and 2030. Transport Sector Development of a domestic transportation policy and implement the National Transportation Master Plan. Aim is to achieve at least a 20% reduction in conventional transportation fuel use by 2030 and promote energy efficiency in the | The expected cumulative emissions reduction would be up to between 2015 and 2030. Transport Sector Development of a domestic transportation policy and implement the National Transportation Master Plan. Aim is to achieve at least a 20% reduction in conventional transportation fuel use by 2030 and promote energy efficiency in the transport sector through appropriate policies and investments. | [
0,
0
] | [
"First NDC"
] | [
"Transport sector - Development of a domestic transportation policy and implement the National Transportation Master Plan.",
"[…] at least a 20% reduction in conventional transportation fuel use by 2030"
] | [
[
null
],
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999299049
} | [
0,
2
] | KWT | Kuwait | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | The expected increase in population growth rate is combined with urban development and rapid provision of basic services to the population. In the light of the global decline in oil prices and the high cost of subsidies ratio in energy, water and housing prices, the State of Kuwait is facing | The expected increase in population growth rate is combined with urban development and rapid provision of basic services to the population. In the light of the global decline in oil prices and the high cost of subsidies ratio in energy, water and housing prices, the State of Kuwait is facing many developmental challenges, including diversifying and enhancing work opportunities that provides safe working environments for citizens and residents, urban planning and housing, infrastructure and promoting national capacities to monitor and implement developmental plans. | [
0,
2
] | [
"First NDC"
] | [
"Mainstreaming the information on climate risks in the planning and delivery of urban services, while strengthening local capacity"
] | [
[
{
"Alpha2": "KW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Energy",
"SubSector": "Energy efficiency"
},
{
"Alpha2": "KW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999307394
} | [
0,
1
] | SEN | Senegal | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | The expected reduction in the area of agricultural land will Resulting in a 30% reduction in cereal production by 2025. Also expected in the livestock sector. These combined effects promote conflicts between Breeders and farmers for access to resources. Fishing. Marine disturbances impact fisheries resources and the resilience of fishing | The expected reduction in the area of agricultural land will Resulting in a 30% reduction in cereal production by 2025. Also expected in the livestock sector. These combined effects promote conflicts between Breeders and farmers for access to resources. Fishing. Marine disturbances impact fisheries resources and the resilience of fishing communities. | [
1,
0
] | [
"INDC"
] | [
"Promote fishing insurance"
] | [
[
{
"Alpha2": "SN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Coastal Zone",
"SubSector": "Coastal fisheries"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999372959
} | [
0,
1
] | AND | Andorra | [
0,
1
] | [
[
"{'IkiSheet': 'covid19', 'page_number': 18, 'region': 'Europe', 'parameter': 'Y_Transport', 'income_group': 'High-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | The experience of the pandemic caused by COVID-19 in 2020 has shown how policies to restrict mobility, which have forced the implementation of teleworking or reduced mobility to essential minimum levels, could mean the country witnesses a 52% reduction in GHG emissions if they are maintained throughout a year (see | The experience of the pandemic caused by COVID-19 in 2020 has shown how policies to restrict mobility, which have forced the implementation of teleworking or reduced mobility to essential minimum levels, could mean the country witnesses a 52% reduction in GHG emissions if they are maintained throughout a year (see Chart 7), taking into account domestic mobility, fuel tourism and the reduction in electricity consumption. This reduction in GHG emissions is accompanied by an improvement in air quality, especially with the reduction of NO2 levels, with values 70% lower than usual. | [
0,
0
] | [
"LTS"
] | [
"The experience of the pandemic caused by COVID-19 in 2020 has shown how policies to restrict mobility, which have forced the implementation of teleworking or reduced mobility to essential minimum levels, could mean the country witnesses a 52% reduction in GHG emissions if they are maintained throughout a year"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999318123
} | [
0,
1
] | LBN | Lebanon | [
0,
1
] | [
[
"{'IkiSheet': 'covid19', 'page_number': 1, 'region': 'Asia', 'parameter': 'Y_General', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | The fact that Lebanon relies on imports for most of its food and energy supplies has aggravated the situation even further. The COVID-19 pandemic has exacerbated conditions whereby the government-imposed lockdowns that further lowered economic activity. On August 4th, 2020, an explosion occurred at the port of Beirut which damaged | The fact that Lebanon relies on imports for most of its food and energy supplies has aggravated the situation even further. The COVID-19 pandemic has exacerbated conditions whereby the government-imposed lockdowns that further lowered economic activity. On August 4th, 2020, an explosion occurred at the port of Beirut which damaged the Port infrastructure, and surrounding area; the cost of damage is estimated between 3.8 and 4.6 billion US Dollars1. | [
0,
0
] | [
"Revised First NDC"
] | [
"COVID-19 pandemichas exacerbated conditionswhereby the government-imposedlockdowns that further lowered economic activit"
] | [
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999334812
} | [
0,
2
] | BTN | Bhutan | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | The feasibility of a waste to energy plant of utility scale in Thimphu will be undertaken and implemented to convert the organic waste to energy and reduce landfill emissions. i) Green Hydrogen Roadmap. In line with the Sustainable Hydropower Policy 2021, the potential for the use of hydrogen created from | The feasibility of a waste to energy plant of utility scale in Thimphu will be undertaken and implemented to convert the organic waste to energy and reduce landfill emissions. i) Green Hydrogen Roadmap. In line with the Sustainable Hydropower Policy 2021, the potential for the use of hydrogen created from green renewable electricity in Bhutan will be pursued. | [
2,
0
] | [
"Second NDC"
] | [
"\"The feasibility of a waste to energy plant of utility scale in Thimphu will be undertaken and implemented to convert the organic waste to energy and reduce landfill emissions.\""
] | [
[
{
"Alpha2": "BT",
"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": "BT",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Waste",
"SubSector": "Waste-to-Energy"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999322891
} | [
0,
1
] | USA | United States of America | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | The federal government will work with state, local, and tribal governments to support the rapid deployment of carbon pollution-free electricity generating resources, transmission, and energy storage and leverage the carbon pollution-free energy potential of power plants retrofitted with carbon capture and existing nuclear, while ensuring those facilities meet robust and | The federal government will work with state, local, and tribal governments to support the rapid deployment of carbon pollution-free electricity generating resources, transmission, and energy storage and leverage the carbon pollution-free energy potential of power plants retrofitted with carbon capture and existing nuclear, while ensuring those facilities meet robust and rigorous standards for worker, public, environmental safety and environmental justice. The United States will also support research, development, demonstration, commercialization, and deployment of software and hardware to support a carbon pollution-free, resilient, reliable, and affordable electricity system. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"The federal government will work with state, local, and tribal governments to support the rapid deployment of carbon pollution-free electricity generating resources, transmission, and energy storage and leverage the carbon pollution-free energy potential of power plants retrofitted with carbon capture and existing nuclear, while ensuring those facilities meet robust and rigorous standards for worker, public, environmental safety and environmental justice. The United States will also support research, development, demonstration, commercialization, and deployment of software and hardware to support a carbon pollution-free, resilient, reliable, and affordable electricity system.\""
] | [
[
{
"Alpha2": "US",
"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": "Supply-side Efficiency"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999331236
} | [
0,
1
] | CAN | Canada | [
0,
1
] | [
[
"{'IkiSheet': 'implementation', 'page_number': 2, 'region': 'Northern America', 'parameter': 'P_National', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | The federal government’s primary statute is the Canadian Environmental Protection Act, 1999, which includes authorities to regulate GHG emissions. Emissions reductions can also be achieved through policy actions. | The federal government’s primary statute is the Canadian Environmental Protection Act, 1999, which includes authorities to regulate GHG emissions. Emissions reductions can also be achieved through policy actions. | [
0,
0
] | [
"First NDC"
] | [
"Canadian Environmental Protection Act, 1999.\nSince 2006, the federal government has taken […] transportation sector regulations"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999239445
} | [
0,
6
] | UGA | Uganda | [
6,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, '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_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Teleworking', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'A_Teleworking', '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': 42, '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': 'x', 'income_group': 'Low-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', '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': 42, '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': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, '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': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General freight efficiency improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Freighteff', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', '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': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General infrastructure improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'S_Infraimprove', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, '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_Freight', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General freight efficiency improvements', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Freighteff', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
6
] | The figure also presents annual targets under the transport sector mitigation scenario. Figure 3-6: Transport baseline and annual targets under the NDC scenario NDC 3.5.3 Additional Mitigation Measures Table 3-15: Additional mitigation measures Mitigation Measure Description Road improvement projects Improvement of road infrastructure, including roads, bridges, etc Electric road vehicles | The figure also presents annual targets under the transport sector mitigation scenario. Figure 3-6: Transport baseline and annual targets under the NDC scenario NDC 3.5.3 Additional Mitigation Measures Table 3-15: Additional mitigation measures Mitigation Measure Description Road improvement projects Improvement of road infrastructure, including roads, bridges, etc Electric road vehicles Electric boda-boda or buses Electrification of rail Plans for electric traction of passenger rail Oil pipeline Pipeline to transfer oil internally in Uganda, replacing road freight Utilisation of water transport Increased water-borne transport E-commuting Increased use of remote working Waste Sector This sector covers solid waste and wastewater. | [
0,
0
] | [
"Revised First NDC"
] | [
"E-commuting - Increased use of remote working",
"Electric road vehicles - Electric boda-boda or buses",
"Electrification of rail - Plans for electric traction of passenger rail",
"Oil pipeline - Pipeline to transfer oil internally in Uganda, replacing road freight ",
"Road improvement projects - Improvement of road infrastructure, including roads, bridges, etc ",
"Utilisation of water transport - Increased water-borne transport "
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
1,
1
] | {
"label": "en-US",
"score": 0.9999321699
} | [
0,
2
] | GBR | United Kingdom | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | The final strategy will be published in the coming months. The Welsh Government is also stimulating innovation through its Circular Economy Funds, awarding around £40m to businesses and publicly-funded bodies to date. Northern Ireland published the second iteration of the national Waste Prevention Programme Stopping Waste in its Tracks59 in | The final strategy will be published in the coming months. The Welsh Government is also stimulating innovation through its Circular Economy Funds, awarding around £40m to businesses and publicly-funded bodies to date. Northern Ireland published the second iteration of the national Waste Prevention Programme Stopping Waste in its Tracks59 in 2019. | [
1,
1
] | [
"Revised First NDC"
] | [
"<br>\"The Welsh Government has consulted on a new Circular Economy Strategy\"<br>\"Northern Ireland published the second iteration of the national Waste Prevention Programme Stopping Waste in its Tracks in 2019\"",
"Welsh: \"This proposed a range of actions which seek to keep resources in use for longer and avoid waste.\"<br>\"The Welsh Government is also stimulating innovation through its Circular Economy Funds, awarding around £40m to businesses and publicly-funded bodies to date.\""
] | [
[
{
"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"
}
],
[
{
"Alpha2": "GB",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Waste",
"SubSector": "Recycling, Reuse, Reduce"
}
]
] |
[
2,
5
] | {
"label": "en-US",
"score": 0.9999316931
} | [
0,
7
] | COD | Democratic Republic of the Congo | [
2,
5
] | [
[
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
2
] | The financial inadequacy to accompany the implementation of adaptation initiatives. 2.6. Summary of needs. The needs relate mainly to the agriculture sector, the energy and transport sector with access to reinforcement of drinking water supply, sanitation and waste management, reinforcement of conservation measures, biodiversity and population integration in the forestry | The financial inadequacy to accompany the implementation of adaptation initiatives. 2.6. Summary of needs. The needs relate mainly to the agriculture sector, the energy and transport sector with access to reinforcement of drinking water supply, sanitation and waste management, reinforcement of conservation measures, biodiversity and population integration in the forestry sector and integrated coastal zone protection. Total investment requirements amount to USD 9.082 billion, including:. Agriculture sector: USD 1,563.90 million. Energy and Transport Sector: USD 7,350.00 million. Forestry sector: USD 50.00 million. | [
4,
3
] | [
"First NDC",
"INDC"
] | [
"Agriculture (8)",
"Development of the National Programme Environment, Forestry, Water and Biodiversity",
"Energy and Transport (8)",
"USD 1,563.90 million",
"Development of the National Programme Environment, Forestry, Water and Biodiversity",
"Transport and energy sectors"
] | [
[
{
"Alpha2": "CD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "CD",
"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": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "CD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "CD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "CD",
"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": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999363422
} | [
0,
3
] | IRQ | Iraq | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | The financial value of methane emissions in Iraq is estimated at more than 600 million dollars, which represents a great economic loss. In addition to the economic benefits that the investment of this gas will bring to Iraq, reducing methane emissions protects human health by improving air quality at the | The financial value of methane emissions in Iraq is estimated at more than 600 million dollars, which represents a great economic loss. In addition to the economic benefits that the investment of this gas will bring to Iraq, reducing methane emissions protects human health by improving air quality at the local level. | [
0,
3
] | [
"First NDC"
] | [
"Human Health"
] | [
[
{
"Alpha2": "IQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Awareness raising and behavior change"
},
{
"Alpha2": "IQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "IQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999321699
} | [
0,
3
] | MLI | Mali | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | The financing of actions to combat climate change remains today the central element of the climate negotiations. Mali is designing and implementing a strategy for sustainable financing of the environment and climate change that should reconcile the uniqueness of procedures, the transparency of information, the flexibility of management and the | The financing of actions to combat climate change remains today the central element of the climate negotiations. Mali is designing and implementing a strategy for sustainable financing of the environment and climate change that should reconcile the uniqueness of procedures, the transparency of information, the flexibility of management and the sustainability of funding in the regions. key operations. | [
0,
3
] | [
"First NDC"
] | [
"Improving water governance and scale up financing"
] | [
[
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
},
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water management"
},
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
]
] |
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