Policies_Plans
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| Mitigation
sequence | IkiInfo
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sequence | Adaptation
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| context
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3.41k
| Action
sequence | Document
sequence | ResponseText
sequence | CWInfo
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
0,
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] | {
"label": "en-US",
"score": 0.9999339581
} | [
0,
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] | PSE | Palestine | [
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4
] | [
[
null,
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null
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] | [
"CW"
] | [
4,
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] | By 2030, the capacity of the Ministry of Health (MoH) to monitor the safety of water, food and sanitation increases by at least 50% from the situation in 2020. Health: Increasing awareness and capacities for disease prevention. Training health professionals and increasing the awareness of people, particularly women, in all | By 2030, the capacity of the Ministry of Health (MoH) to monitor the safety of water, food and sanitation increases by at least 50% from the situation in 2020. Health: Increasing awareness and capacities for disease prevention. Training health professionals and increasing the awareness of people, particularly women, in all areas about measures they can take to help prevent major diseases related to water, sanitation and food, and. | [
0,
4
] | [
"Revised First NDC"
] | [
"Increasing investments in climate change and health (research, health adaptation for population health and health system resilience)"
] | [
[
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Awareness raising and behavior change"
},
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Social Development",
"SubSector": "Gender"
},
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
0,
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] | {
"label": "en-US",
"score": 0.9999307394
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0,
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] | PSE | Palestine | [
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1
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[
null
]
] | [
"CW"
] | [
1,
0
] | By 2030, the capacity of the Ministry of Health to monitor the safety of water, food and sanitation increases by at least 50% from the situation in 2020. 21,856,000. 14,391,000. Transport. Reduce the emissions of the passenger vehicle fleet by 8% by 2030, and 24% by 2040. 1,140,120,000. 1,087,000. Scrap | By 2030, the capacity of the Ministry of Health to monitor the safety of water, food and sanitation increases by at least 50% from the situation in 2020. 21,856,000. 14,391,000. Transport. Reduce the emissions of the passenger vehicle fleet by 8% by 2030, and 24% by 2040. 1,140,120,000. 1,087,000. Scrap 60% of vehicles older than 20 years by 2030, and all vehicles older than 20 years by 2040. 376,740,000. 161,460,000. | [
1,
0
] | [
"Revised First NDC"
] | [
"Transport: “Reducing the emissions of the passenger vehicle fleet by 8% by 2030, and 24% by 2040” (p. 14)"
] | [
[
{
"Alpha2": "PS",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Sustainable transport planning"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.99990201
} | [
1,
1
] | CRI | Costa Rica | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
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] | By 2030, the continuity of vital public services (health, education, water and sanitation, energy, transportation) has been guaranteed in the face of the adverse effects of climate change, through the application of norms and guidelines with adaptation criteria. Goals:10.1. As of 2022, 140 Associations Administrators of Communal Aqueduct and Sewer | By 2030, the continuity of vital public services (health, education, water and sanitation, energy, transportation) has been guaranteed in the face of the adverse effects of climate change, through the application of norms and guidelines with adaptation criteria. Goals:10.1. As of 2022, 140 Associations Administrators of Communal Aqueduct and Sewer Systems have made improvements in their infrastructure under a focus on disaster risk reduction and adaptation to climate change. 10.2. By 2030, 85 water use projects have been developed through the environmental water tariff. 10.3. | [
1,
1
] | [
"Revised First NDC"
] | [
"Infrastructure improved by 140 Associations",
"Line 10 - guarantee continuity of vital public services: By 2022, 140 Community Aquaduct and Sewer System Administration Associations will improve their infrastructure based on disaster risk reduction and climate change adaptation (80)."
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Infrastructure"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Infrastructure"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999365807
} | [
1,
1
] | CRI | Costa Rica | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | By 2030, the country has a drought early warning system to monitor drought risks at the national and regional levels. 1.6. By 2030, the National System of Climate Change Metrics (SINAMECC) has been strengthened with the necessary climate information for the different sectors, such as climate scenarios, climate risk maps, | By 2030, the country has a drought early warning system to monitor drought risks at the national and regional levels. 1.6. By 2030, the National System of Climate Change Metrics (SINAMECC) has been strengthened with the necessary climate information for the different sectors, such as climate scenarios, climate risk maps, early warning systems, and monitoring systems. Guideline 2. By 2030, scientific research, systematic data collection, and current and prospective analysis of information on risks, impacts, losses and damages due to hydrometeorological hazards have been promoted. Goals:2.1. | [
1,
1
] | [
"Revised First NDC"
] | [
"Creation of sector-specific information platforms, maps, warning and monitoring systems",
"Line 1 - platforms to disseminate information and climate services: By 2030, the National Climate Change Measurement System (SINAMECC) will have strengthened the climate information available for each sector, such as climate scenarios, climate risk maps, early warning systems, and monitoring systems (75)."
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999339581
} | [
3,
1
] | CRI | Costa Rica | [
0,
4
] | [
[
null
],
[
null
],
[
null,
null
]
] | [
"CW"
] | [
4,
0
] | By 2030, the country has an open climate data policy, both from the public and private sectors, which facilitates its generation, access, and use for decision-making in all sectors. 2.7. By 2030, Costa Rica has a technically unified national hydro-meteorological monitoring network, financially sustainable, with adequate maintenance, with the participation | By 2030, the country has an open climate data policy, both from the public and private sectors, which facilitates its generation, access, and use for decision-making in all sectors. 2.7. By 2030, Costa Rica has a technically unified national hydro-meteorological monitoring network, financially sustainable, with adequate maintenance, with the participation of the private sector, and whose data are open and methodologically comparable, contributing to the generation of water balances. Guideline 3. | [
1,
3
] | [
"Revised First NDC"
] | [
"Hydro-meterological monitoring network created, sustainably financed and maintained",
"Line 2 - research, data collection and knowledge building about risks, impacts, losses and damages from extreme events: By 2030, Costa Rica will have a national, technically uniform hydro-meterological monitoring network, sustainably financed, with adequate maintenance, with participation of the private sector, the data of which will be open and methodologically comparable, contributing to the balance of water resources (76).",
"Open climate data policy created"
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water management"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water management"
}
],
[
{
"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"
},
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999334812
} | [
0,
1
] | CRI | Costa Rica | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | By 2030, the country will have significantly reduced its digital and technological gap, with particular emphasis on socially and economically vulnerable populations, through a solidarity model, considering aspects such as Internet connectivity, equipment and digital appropriation. This will be an enabler to close social and economic gaps through digital practices | By 2030, the country will have significantly reduced its digital and technological gap, with particular emphasis on socially and economically vulnerable populations, through a solidarity model, considering aspects such as Internet connectivity, equipment and digital appropriation. This will be an enabler to close social and economic gaps through digital practices such as teleworking, e-commerce and virtual tourism (which reduce the need for travel), increasing efficiency and national economic dynamism. 2. Development and land use planning. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"By 2030, the country will have significantly reduced its digital and technological gap, with particular emphasis on socially and economically vulnerable populations, through a solidarity model, considering aspects such as Internet connectivity, equipment and digital appropriation. This will be an enabler to close social and economic gaps through digital practices such as teleworking, e-commerce and virtual tourism (which reduce the need for travel), increasing efficiency and national economic dynamism.\""
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999361038
} | [
2,
2
] | COL | Colombia | [
0,
4
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
4,
0
] | By 2030, the country will inter-institutionalize the processes of forest fire risk management, risk awareness, risk reduction and disaster management, defining guidelines and results with change management. climate, through 7 strategies. Develop strategies and actions that allow the improvement of the country s capacity in terms of knowledge of risk, | By 2030, the country will inter-institutionalize the processes of forest fire risk management, risk awareness, risk reduction and disaster management, defining guidelines and results with change management. climate, through 7 strategies. Develop strategies and actions that allow the improvement of the country s capacity in terms of knowledge of risk, risk reduction and the management of disasters related to forest fires and their articulation with the management of climate change. | [
2,
2
] | [
"Revised First NDC"
] | [
"7 strategies",
"Environment: \"By 2030, the country will, in an interinstitutional manner, operationalize wildfire risk management processes, [with] knowledge of risk, risk reduction and disaster management, defining approaches and results [in articulation] with climate change management, through 7 strategies...that improve the country's capacity in the management of disasters related to forest fires\" (21)."
] | [
[
{
"Alpha2": "CO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
},
{
"Alpha2": "CO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Landscape management"
}
],
[
{
"Alpha2": "CO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
},
{
"Alpha2": "CO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Landscape management"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999355078
} | [
0,
2
] | CRI | Costa Rica | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | By 2030, the country, with the support of the Scientific Council on Climate Change (4C), will have implemented policies to promote scientific research, systematic data collection, and current and prospective analysis of information on risks, impacts, losses and damages due to hydrometeorological threats. 11.8. By 2030, the country will have | By 2030, the country, with the support of the Scientific Council on Climate Change (4C), will have implemented policies to promote scientific research, systematic data collection, and current and prospective analysis of information on risks, impacts, losses and damages due to hydrometeorological threats. 11.8. By 2030, the country will have an open climate data policy, both from the public and private sectors, that facilitates its generation, access by all types of public using relevant and appropriate language and examples for the different realities and worldviews of the country, and use for decision-making in all sectors. 11.9. | [
2,
0
] | [
"Revised First NDC"
] | [
"Line 2 - research, data collection and knowledge building about risks, impacts, losses and damages from extreme events: By 2030, the country will have an open climate data policy, for the public and private sectors, that facilitates the generation, access and use of data for decision-making in all sectors (75)."
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999301434
} | [
1,
0
] | JAM | Jamaica | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': '3f.', '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': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 7.441496708757, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 1.66609015}"
]
] | [
"IKITracs"
] | [
0,
1
] | By 2030, the emission reductions in d. How the Party has addressed Article 4, paragraph 4, of the Paris Agreement; e. How the Party has addressed Article 4, paragraph 6, of the Paris Agreement. 11 these two sectors of between 25.4 per cent (unconditional) and 28.5 per cent (conditional) implies | By 2030, the emission reductions in d. How the Party has addressed Article 4, paragraph 4, of the Paris Agreement; e. How the Party has addressed Article 4, paragraph 6, of the Paris Agreement. 11 these two sectors of between 25.4 per cent (unconditional) and 28.5 per cent (conditional) implies that emissions in these sectors would be 1.8 to 2.0 MtCO2e lower than in the BAU scenario. | [
0,
0
] | [
"Revised First NDC"
] | [
"28.5% reduction to BAU emissions in 2030 (7.2MtCO2e less in 2030)"
] | [
[
null
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.99992764
} | [
0,
4
] | CRI | Costa Rica | [
0,
4
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
4,
0
] | By 2030, the knowledge, monitoring and response of sanitary surveillance services in agricultural health has been strengthened. Goals:12.1. By 2026, a study has been developed on the impacts derived from climate change in agricultural and fishing production systems, including effects on agricultural health, and whose results are shared appropriately to | By 2030, the knowledge, monitoring and response of sanitary surveillance services in agricultural health has been strengthened. Goals:12.1. By 2026, a study has been developed on the impacts derived from climate change in agricultural and fishing production systems, including effects on agricultural health, and whose results are shared appropriately to the realities and worldviews of the different communities. Guideline 13. | [
2,
2
] | [
"Revised First NDC"
] | [
"Line 12 - Strengthen agricultural health and sanitation knowledge, monitoring and response: By 2026, develop a study about the impacts of cliamte change on agricultural and fishery production systems, including impacts on the health of livestock and crops, the results of which will be shared with communities in a manner that is appropriate to their realities and cosmovision (80).",
"Mainstreaming climate risks in health policies and programs, including on health infrastructure, and health systems"
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Health",
"SubSector": "Health services and assessment"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999279976
} | [
0,
3
] | CRI | Costa Rica | [
0,
3
] | [
[
null
],
[
null,
null
]
] | [
"CW"
] | [
3,
0
] | By 2030, the knowledge, monitoring and response of sanitary surveillance services in public health has been strengthened. Goals:11.1. By 2026, a study will have been generated to develop predictive models of the behavior of vector diseases and zoonoses, associated with climate change. 11.2. By 2030, at least two impact studies | By 2030, the knowledge, monitoring and response of sanitary surveillance services in public health has been strengthened. Goals:11.1. By 2026, a study will have been generated to develop predictive models of the behavior of vector diseases and zoonoses, associated with climate change. 11.2. By 2030, at least two impact studies of the food and energy crisis and climate change on food and nutrition security. 11.3. By 2030, prevention and promotion strategies will be implemented to address vector-borne diseases sensitive to climate change. 11.4. | [
3,
0
] | [
"Revised First NDC"
] | [
"Line 11 - Strengthen public health services knowledge, monitoring and response: By 2026, the country will have generated a study to develop predictive models about the behavior of vector-born illnesses and zoonosis that are associated with climate change (80).",
"Line 11 - Strengthen public health services knowledge, monitoring and response: By 2030, conduct at least two impact studies about impacts of the food, energy and climate crisis on food and nutrition security (80)."
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Malnutrition"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999220371
} | [
2,
3
] | CRI | Costa Rica | [
0,
5
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
0
] | By 2030, the necessary plans and policies are in place to promote adaptation to climate change in the country, in addition to incorporating adaptation criteria and guidelines in the sectoral, regional and territorial, marine and coastal planning instruments, at different scales . Goals:5.1. By 2022, the implementation of the Action | By 2030, the necessary plans and policies are in place to promote adaptation to climate change in the country, in addition to incorporating adaptation criteria and guidelines in the sectoral, regional and territorial, marine and coastal planning instruments, at different scales . Goals:5.1. By 2022, the implementation of the Action Plan of the National Policy for Adaptation to Climate Change (National Adaptation Plan) has been formulated, approved and started. 5.2. As of 2022, the Disaster Risk Management Plan 2021-2025 is being implemented. 5.3. | [
3,
2
] | [
"Revised First NDC"
] | [
"Line 5 - The country will have plans and policies in place to boost climate change adaptation, and have incorporated criteria and adaptation lines into sectoral, regional, land use and coastal plans: By 2022, the Action Plan of the National Climate Change Adaptation Policy will have been created, approved and initiated (76-77).",
"Line 5 - The country will have plans and policies in place to boost climate change adaptation, and have incorporated criteria and adaptation lines into sectoral, regional, land use and coastal plans: By 2022, the Disaster Risk Management Plan for 2021-2025 is being implemented (77).",
"Line 5 - The country will have plans and policies in place to boost climate change adaptation, and have incorporated criteria and adaptation lines into sectoral, regional, land use and coastal plans: By 2022, the country will have a Plan of Action For Gender and Climate Change (77).",
"M&E policy in place",
"National Climate Action Plan in created, approved, initiated"
] | [
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster Risk Management (DRM): General"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Social Development",
"SubSector": "Gender"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
],
[
{
"Alpha2": "CR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
1,
3
] | {
"label": "en-US",
"score": 0.9999397993
} | [
1,
3
] | NPL | Nepal | [
4,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
4
] | By 2030, the number of organic fertilizer production plants in the country will reach 100. Integrate climate change in the upcoming revised Agriculture Policy. By 2025, update the Rangeland Policy and develop plans for the sustainable management of rangelands. By 2030, establish 200 climate-smart villages and 500 climate-smart farms. Promote | By 2030, the number of organic fertilizer production plants in the country will reach 100. Integrate climate change in the upcoming revised Agriculture Policy. By 2025, update the Rangeland Policy and develop plans for the sustainable management of rangelands. By 2030, establish 200 climate-smart villages and 500 climate-smart farms. Promote intercropping, agroforestry, conservation tillage, and livestock and agricultural waste management. Ensure increased access of climate-smart agricultural technologies to women, Indigenous People, smallholder farmers and marginalized groups. | [
2,
2
] | [
"Second NDC"
] | [
"\"By 2025, update the Rangeland Policy and develop plans for the sustainable management of rangelands.\"",
"\"By 2030, establish 200 climate-smart villages and 500 climate-smart farms.\"",
"\"Ensure increased access of climate-smart agricultural technologies to women, Indigenous People, smallholder farmers and marginalized groups.\"",
"Rangeland Policy"
] | [
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Land Management"
}
],
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Climate Smart Agriculture"
}
],
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Agriculture",
"SubSector": "Climate Smart Agriculture"
}
],
[
{
"Alpha2": "NP",
"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"
}
]
] |
[
4,
2
] | {
"label": "en-US",
"score": 0.9999353886
} | [
0,
6
] | PAN | Panama | [
4,
2
] | [
[
null,
null,
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
2,
4
] | By 2030, the rice NAMA will have started to be implemented and the livestock NAMA will have started its implementation, to the extent of the international support received. Ministry of Agricultural Development. No GHG Target. Actions, Policies and Regulations. Formulated livestock NAMA. Reduction of GHG emissions by the rice production | By 2030, the rice NAMA will have started to be implemented and the livestock NAMA will have started its implementation, to the extent of the international support received. Ministry of Agricultural Development. No GHG Target. Actions, Policies and Regulations. Formulated livestock NAMA. Reduction of GHG emissions by the rice production sector. By 2025, an agroclimatic information system will have been created for the Agricultural Sector, based on the establishment of hydro and agro-meteorological stations, a climate data center and the implementation of participatory technical tables. Ministry of Agricultural Development. | [
2,
4
] | [
"Revised First NDC"
] | [
"\"By 2030, the rice NAMA will have begun to be implemented and the livestock NAMA will have been formulated and its implementation will have begun, to the extent of the international support received.\"",
"Sustainable agriculture, ranching and aquaculture: By 2025, an agro-climate information system for the agriculture sector will have been created, starting with the establishment of agro-hydro-meterological stations, a climate data center and participative technical tables started up. The information generated will support capacity and communication strategies for specific key actors, with a goal to guarantee the adoption of new measures for final users. Maximizing the yield/performance of the production systems and of each individual process will be sought (64, 126)."
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol1",
"QuestionDefinition": "Whether the upstream policy in the given sector builds on NAMA",
"QuestionText": "Building on existing NAMAs",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol1",
"QuestionDefinition": "Whether the upstream policy in the given sector builds on NAMA",
"QuestionText": "Building on existing NAMAs",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
},
{
"Alpha2": "PA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
11
] | {
"label": "en-US",
"score": 0.9999365807
} | [
11,
0
] | MMR | Myanmar | [
11,
0
] | [
[
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
11
] | By 2030, the share of new renewable energy technology will remain unchanged as to 2000MW and coal will decrease by 54.4% from BAU (7940MW), reducing to 3620MW. Due to social and environment safeguards concerns, the proportion of large hydropower generation will also decrease, but both hydropower and coal will be | By 2030, the share of new renewable energy technology will remain unchanged as to 2000MW and coal will decrease by 54.4% from BAU (7940MW), reducing to 3620MW. Due to social and environment safeguards concerns, the proportion of large hydropower generation will also decrease, but both hydropower and coal will be replaced by Natural Gas/LNG (Table 4). Table 4. Energy Sector Unconditional Targets (2020 - 2030)29. Generation Technology MW % MW % MW %. 2020. 2025. 2030. Renewable (Hydro). 2771. 46.5%. 3388. 31%. 5156. 28%. Renewable (Other). 40. 0.7%. 1440. 13.%. | [
0,
11
] | [
"Revised First NDC"
] | [
"\"By 2030, the share of new renewable energy technology will remain unchanged as to 2000MW and coal will decrease by 54.4% from BAU (7940MW), reducing to 3620MW. Due to social and environment safeguards concerns, the proportion of large hydropower generation will also decrease, but both hydropower and coal will be replaced by Natural Gas/LNG.",
"\"Energy Sector Conditional Targets (2020 – 2030)\": Renewable (Hydro): 2025: MW: 3388 (32%) 2030: MW: 5676 (31%)",
"\"Energy Sector Unconditional Targets (2020 - 2030)\": Coal: 2025: MW: 720 (6.5%) 2030: MW: 3620 (20%)",
"\"Energy Sector Unconditional Targets (2020 - 2030)\": Natural Gas/LNG: 2025: MW: 5031 (46%) 2030: MW: 6063 (33%)",
"\"Energy Sector Unconditional Targets (2020 - 2030)\": Renewable (Hydro): 2025: MW: 3388 (31%) 2030: MW: 5156 (28%)",
"\"Energy Sector Unconditional Targets (2020 - 2030)\": Renewable (Other): 2025: MW: 1440 (13%) 2030: MW: 2000 (11%)"
] | [
[
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
},
{
"Alpha2": "MM",
"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: Hydro"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Gas"
},
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
},
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "MM",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999361038
} | [
1,
0
] | GIN | Guinea | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | By 2030, this objective requires the installation of approximately 2,500 MW of renewable production (all sources combined). 21. to absorb the demand for electricity without increasing new thermal capacities. Reaching 80% of electricity production from renewable sources has an emission reduction potential of 5,074 ktCO2 eq / year by 2030 | By 2030, this objective requires the installation of approximately 2,500 MW of renewable production (all sources combined). 21. to absorb the demand for electricity without increasing new thermal capacities. Reaching 80% of electricity production from renewable sources has an emission reduction potential of 5,074 ktCO2 eq / year by 2030 for household electricity consumption. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"By 2030, this objective requires the installation of around 2,500 MW of renewable production (all sources combined) to absorb the demand for electricity without increasing new thermal capacities.\""
] | [
[
{
"Alpha2": "GN",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999397993
} | [
0,
3
] | NPL | Nepal | [
3,
0
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
3
] | By 2030, upgrade watershed health and vitality in at least 20 districts to a higher condition category. By 2030, create an inventory of wetlands in Nepal and sustainably manage vulnerable wetlands. By 2025, enhance the sink capacity of the landuse sector by instituting the Forest Development Fund (FDF) for compensation | By 2030, upgrade watershed health and vitality in at least 20 districts to a higher condition category. By 2030, create an inventory of wetlands in Nepal and sustainably manage vulnerable wetlands. By 2025, enhance the sink capacity of the landuse sector by instituting the Forest Development Fund (FDF) for compensation of plantations and forest restoration. Increase growing stock including Mean Annual Increment in Tarai, Hills and Mountains. Afforest/reforest viable public and private lands, including agroforestry. Restore and manage degraded forest land, including in the Chure region. (Agriculture). | [
3,
0
] | [
"Second NDC"
] | [
"\"Afforest/reforest viable public and private lands, including agroforestry.\" <br>\"Restore and manage degraded forest land, including in the Chure region.\"",
"\"By 2025, enhance the sink capacity of the landuse sector by instituting the Forest Development Fund (FDF) for compensation of plantations and forest restoration.\"<br>\"Increase growing stock including Mean Annual Increment in Tarai, Hills and Mountains.\"",
"\"By 2030, upgrade watershed health and vitality in at least 20 districts to a higher condition category.\"<br>\"By 2030, create an inventory of wetlands in Nepal and sustainably manage vulnerable wetlands.\""
] | [
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
],
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "LULUCF/Forestry",
"SubSector": "Wetlands"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999339581
} | [
0,
1
] | SGP | Singapore | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 56, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': nan, 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'EV purchase incentives', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Emobilitypurchase', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | By 2030, we aim to have up to 28,000 chargers in public carparks island-wide, from around 1,600 today. These efforts are expected to make a significant difference. Technological advancements on EV charging and the availability of attractive, cost- effective EV models in the market will also be important factors that | By 2030, we aim to have up to 28,000 chargers in public carparks island-wide, from around 1,600 today. These efforts are expected to make a significant difference. Technological advancements on EV charging and the availability of attractive, cost- effective EV models in the market will also be important factors that will influence how quickly we can achieve these goals. Greener transport infrastructure We are also enhancing our existing transport infrastructure and building new transport facilities that are more energy-efficient and sustainable. | [
0,
0
] | [
"LTS"
] | [
"These efforts are expected to make a significant difference. Technological advancements on EV charging and the availability of attractive, costeffective EV models in the market will also be important factors that will influence how quickly we can achieve these goals."
] | [
[
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999338388
} | [
0,
1
] | KHM | Cambodia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | By 2030: 100% of land recipients are well aware of climate change through capacity buildings. The country’s land poor and landless families have received land, have improved their livelihoods via land allocation, and land recipients have capacity to challenge with climate change impacts because they have been trained and educated | By 2030: 100% of land recipients are well aware of climate change through capacity buildings. The country’s land poor and landless families have received land, have improved their livelihoods via land allocation, and land recipients have capacity to challenge with climate change impacts because they have been trained and educated on climate change. On the other hand, allocated land to people to use for their farming creates soil fertility. 1860000. Target: 30-50% of stakeholders consulted are womenRestoration can be a crucial opportunity for women’s economic empowerment. | [
0,
1
] | [
"Revised First NDC"
] | [
"1860000"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999285936
} | [
1,
1
] | KHM | Cambodia | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | By 2030:1 National Centre. Established witd. Decision Supporting. System. 100% of provinces have Flood Emergency. Response Plans. Other sectors, i.e. agriculture will benefit by potential cross-sectoral mitigation activities. Flood risk reduction and mitigation. 8,800,000. Benefits: can be estimated from the damage and recovery cost by flood and drought the same | By 2030:1 National Centre. Established witd. Decision Supporting. System. 100% of provinces have Flood Emergency. Response Plans. Other sectors, i.e. agriculture will benefit by potential cross-sectoral mitigation activities. Flood risk reduction and mitigation. 8,800,000. Benefits: can be estimated from the damage and recovery cost by flood and drought the same as #2. Real-time technology-based forecasting developed by advanced meteorological societies worldwide,. EWS1294 technology. ( Existing community based DRR and CCA guidelines. Target: 50% of all stakeholders in consultations on flood warning systems are women. | [
0,
2
] | [
"Revised First NDC"
] | [
"Unspecified: $8,800,000",
"“By 2030: 1 National Centre Established with Decision Supporting System 100% of provinces have Flood Emergency Response Plans” (p. 133)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
}
],
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999938488
} | [
1,
0
] | SGP | Singapore | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 8, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_MODE', 'target_year': 2040, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': 'Transport non-GHG targets', 'target_type': nan, 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Asia', 'parameter': 'T_Transport_O_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 53.3654044418, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 6.7986790095}"
]
] | [
"IKITracs"
] | [
0,
1
] | By 2040, Singapore aims to establish WCR, comprising active mobility21 as well as public and shared transport modes, as the preferred way to travel. All journeys to the nearest neighbourhood centre using WCR modes of transport will take no more than 20 minutes, while nine in ten of peak period | By 2040, Singapore aims to establish WCR, comprising active mobility21 as well as public and shared transport modes, as the preferred way to travel. All journeys to the nearest neighbourhood centre using WCR modes of transport will take no more than 20 minutes, while nine in ten of peak period WCR journeys, such as between the home and workplace, will be completed in less than 45 minutes. | [
0,
0
] | [
"LTS"
] | [
"9 in 10 peak period journeys on “Walk-Cycle-Ride” by 2040"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999365807
} | [
0,
1
] | SGP | Singapore | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 54, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Cycling measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Cycling', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | By 2040, our cycling path network will be extended to more than 1,000km from which was introduced in the 2013 Land Transport Master Plan, the Government built 200km of sheltered walkways from transport nodes to homes and public amenities. A further 150km of these covered linkways will be added by | By 2040, our cycling path network will be extended to more than 1,000km from which was introduced in the 2013 Land Transport Master Plan, the Government built 200km of sheltered walkways from transport nodes to homes and public amenities. A further 150km of these covered linkways will be added by 2040. In addition, private developers will have to submit walking and cycling plans as part of development applications. | [
0,
0
] | [
"LTS"
] | [
"By 2040, our cycling path network will be extended to more than 1,000 km from 440 km in 2019."
] | [
[
null
]
] |
[
2,
0
] | {
"label": "en-US",
"score": 0.9999316931
} | [
0,
2
] | PAN | Panama | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | By 2050 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, 30% electric vehicles in private fleets, 75% in private vehicles, 60% in public transport and 90% in official fleets. Includes tax incentives. | By 2050 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, 30% electric vehicles in private fleets, 75% in private vehicles, 60% in public transport and 90% in official fleets. Includes tax incentives. -In terms of energy efficiency, the solar thermal evolution is foreseen according to PNTP. 605 of penetration of efficient equipment and 247,904 m2 solar thermal ACS and industry. Includes incentives. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"In terms of electric mobility...Includes non-fiscal incentives.\""
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Transport",
"SubSector": "Urban Transport"
},
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999338388
} | [
1,
0
] | NPL | Nepal | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | By 2050, Nepal will decrease its dependency on fossils in the transport sector by 50% through effective mass public transport means while promoting energy efficient and electrical vehicles. Nepal will develop its electrical (hydro-powered) rail network by 2040 to support mass transportation of goods and public commuting. Nepal will maintain | By 2050, Nepal will decrease its dependency on fossils in the transport sector by 50% through effective mass public transport means while promoting energy efficient and electrical vehicles. Nepal will develop its electrical (hydro-powered) rail network by 2040 to support mass transportation of goods and public commuting. Nepal will maintain 40% of the total area of the country under forest cover and forest productivity and products will be increased through sustainable management of forests. | [
0,
1
] | [
"First NDC"
] | [
"By 2050, decrease the dependency on fossils in the transport sector by 50% through effective mass public transport means<br>Develop a electrical (hydro-powered) rail network by 2040 to support mass transportation of goods and public commuting."
] | [
[
{
"Alpha2": "NP",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Public Transport"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999134541
} | [
1,
0
] | PAN | Panama | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | By 2050, Panama will achieve a reduction in total emissions from the country s energy sector by at least 24% and by at least 11.5% by 2030, with respect to the trend scenario, which represents an estimated 60 million tons of accumulated CO2 equivalent. between 2022-2050 and up to 10 | By 2050, Panama will achieve a reduction in total emissions from the country s energy sector by at least 24% and by at least 11.5% by 2030, with respect to the trend scenario, which represents an estimated 60 million tons of accumulated CO2 equivalent. between 2022-2050 and up to 10 million tons of CO2 equivalent accumulated between 2022-2030. Sector UTCUTS. Panama is committed to the forest restoration of 50,000 ha nationwide, which will contribute to the carbon absorption of approximately 2.6 million tons of CO 2 2eq by the year 2050. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"By 2050, Panama will achieve a reduction in total emissions from the country's energy sector by at least 24% and by at least 11.5% by 2030, with respect to the trend scenario, representing an estimated 60 million tons ofCO2 equivalent accumulated between 2022-2050 and up to 10 million tons ofCO2 equivalent accumulated between 2022-2030.\""
] | [
[
{
"Alpha2": "PA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999936223
} | [
1,
0
] | SVN | Slovenia | [
0,
1
] | [
[
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 15, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2050, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': 'Transport GHG targets', 'target_type': 'T_FL', 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Europe', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 15.365239860016, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 5.147879336379}"
]
] | [
"IKITracs"
] | [
0,
1
] | By 2050, Slovenia will reduce GHG emissions and improve sinks. It will reduce GHG emissions by 80 to 90 per cent in comparison to 2005 and simultaneously accelerate the implementation of climate change adaptation policies and the provision of climate safety for the public. The year 2005 was selected as | By 2050, Slovenia will reduce GHG emissions and improve sinks. It will reduce GHG emissions by 80 to 90 per cent in comparison to 2005 and simultaneously accelerate the implementation of climate change adaptation policies and the provision of climate safety for the public. The year 2005 was selected as the base year as emissions in 2005 were higher in that year only by 0.44 per cent than in 1986. | [
0,
0
] | [
"LTS"
] | [
"By 2050, Slovenia will reduce GHG emissions and improve sinks. It will reduce GHG emissions by 80 to 90 per cent in comparison to 2005"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999239445
} | [
0,
1
] | IND | India | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 4, '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
] | By 2050, both the rail and road transport will be encouraged to achieve high rates of electrification through policies designed to encourage electrification in this sector. Electrification of railways is already well on course with over 80% of the broad-gauge network already electrified till March 2022 (CORE, 2022). With the | By 2050, both the rail and road transport will be encouraged to achieve high rates of electrification through policies designed to encourage electrification in this sector. Electrification of railways is already well on course with over 80% of the broad-gauge network already electrified till March 2022 (CORE, 2022). With the expansion of electricity generation through non-fossil fuel sources, electric transportation will also become less carbon-intensive in the medium and long term. 2.2.2.5. | [
0,
0
] | [
"LTS"
] | [
"Electrification across multiple modes\nBy 2050, both the rail and road transport will be encouraged to achieve high rates of electrification through policies designed to encourage electrification in this sector. Electrification of railways is already well on course with over 80% of the broad-gauge network already electrified till March 2022 (CORE, 2022). With the expansion of electricity generation through non-fossil fuel sources, electric transportation will also become less carbon-intensive in the medium and long term."
] | [
[
null
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999359846
} | [
3,
1
] | CPV | Cape Verde | [
4,
0
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | By 2050, fully replace all residual thermal vehicles (gasoline/diesel) for Electric Vehicles (EV);. Implement the NAMA “Promotion of EV in Cabo Verde" and the Electric Mobility Action Plan involving:By 2025, establish the procurement rules for the acquisition of 100% EV by institutional entities and have at least 50% of EV | By 2050, fully replace all residual thermal vehicles (gasoline/diesel) for Electric Vehicles (EV);. Implement the NAMA “Promotion of EV in Cabo Verde" and the Electric Mobility Action Plan involving:By 2025, establish the procurement rules for the acquisition of 100% EV by institutional entities and have at least 50% of EV in the new acquisition of urban collective transport (see table 5 below);. | [
1,
3
] | [
"Revised First NDC"
] | [
"By 2050, fully replace all residual thermal vehicles (gasoline/diesel) for Electric Vehicles (EV)\"",
"Implement the NAMA “Promotion of EV in Cabo Verde\" and the Electric Mobility Action Plan involving: • By 2025, establish the procurement rules for the acquisition of 100% EV by institutional entities and have at least 50% of EV in the new acquisition of urban collective transport (see table 5 below)"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999289513
} | [
0,
1
] | CHE | Switzerland | [
0,
1
] | [
[
"{'IkiSheet': 'investment', 'page_number': 55, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | By 2050, they stand at around 5.2 billion francs (annualised, including operating costs). In the transport sector the direct costs are lower long-term than in the Business as usual scenario owing to lower infrastructure and maintenance costs (primarily due to a continual decrease in the cost of electric vehicles). In | By 2050, they stand at around 5.2 billion francs (annualised, including operating costs). In the transport sector the direct costs are lower long-term than in the Business as usual scenario owing to lower infrastructure and maintenance costs (primarily due to a continual decrease in the cost of electric vehicles). In 2050 the difference is around 1.4 billion francs. In contrast, additional investment requirements arise owing to the use of CCS and NET. | [
0,
0
] | [
"LTS"
] | [
"In the transport sector the direct costs are lower long-term than in the 'Business as usual' scenario owing to lower infrastructure and maintenance costs (primarily due to a continual decrease in the cost of electric vehicles). In 2050 the difference is around 1.4 billion francs."
] | [
[
null
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999363422
} | [
0,
3
] | IDN | Indonesia | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | By adjusting or increasing the growth rate of natural forest through enrichment planting, capacity of Indonesian forest in sequestering carbon will increase significantly, thereby increasing emission reduction. C. Land Rehabilitation (afforestation/reforestation/timber plantation). Increasing carbon sequestration in CM1 and CM2 from the BAU is conducted by increasing land rehabilitation program (afforestation | By adjusting or increasing the growth rate of natural forest through enrichment planting, capacity of Indonesian forest in sequestering carbon will increase significantly, thereby increasing emission reduction. C. Land Rehabilitation (afforestation/reforestation/timber plantation). Increasing carbon sequestration in CM1 and CM2 from the BAU is conducted by increasing land rehabilitation program (afforestation and reforestation) and accelerating the establishment of timber plantation in unproductive lands (about 12 million ha in total). | [
0,
3
] | [
"Revised First NDC"
] | [
"Increasing capacities to absorb and recover from extreme events"
] | [
[
{
"Alpha2": "ID",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
},
{
"Alpha2": "ID",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "ID",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999355078
} | [
0,
6
] | MDA | Moldova | [
0,
6
] | [
[
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
6,
0
] | By assuring the appropriate level of awareness and sensitivity, obvious behavioural changes are expected in society and at the community level. Specific Objective 3: Assure the development of climate resilience by reducing at least by 50% the climate change vulnerability and facilitate climate change adaptation in six priority sectors (agriculture, | By assuring the appropriate level of awareness and sensitivity, obvious behavioural changes are expected in society and at the community level. Specific Objective 3: Assure the development of climate resilience by reducing at least by 50% the climate change vulnerability and facilitate climate change adaptation in six priority sectors (agriculture, water resources, forestry, human health, energy and transport) by 2020. Climate change adaptation process will take place in different sectors and at different levels (national, regional, local) with a customized approach for each sector/location. | [
0,
6
] | [
"First NDC"
] | [
"Human Health"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Awareness raising and behavior change"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Education",
"SubSector": "Education: General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Disease surveillance and control"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Health services and assessment"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Health",
"SubSector": "Health: General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Sector",
"QuestionDefinition": "GCA_Sector",
"QuestionText": "Adapt Now sector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Monitoring and Evaluation System"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.999917984
} | [
0,
1
] | KIR | Kiribati | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | By fostering broader community engagement and ownership in building climate resilience at the local level, it is anticipated that long-term support will be sustained for priority adaptation interventions that address the basis needs of vulnerable villages and segments of society. Table 6: Overall Costs by Strategy. Strategy. Cost (A$,000). %. | By fostering broader community engagement and ownership in building climate resilience at the local level, it is anticipated that long-term support will be sustained for priority adaptation interventions that address the basis needs of vulnerable villages and segments of society. Table 6: Overall Costs by Strategy. Strategy. Cost (A$,000). %. Strategy 1: Strengthening good governance, policies & legislation. 6,697,308. 6. Strategy 2: Improving knowledge and information generation, management and sharing. | [
0,
1
] | [
"First NDC"
] | [
"$6,697,308 (6%) (26)"
] | [
[
{
"Alpha2": "KI",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999376535
} | [
1,
0
] | CAN | Canada | [
0,
1
] | [
[
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 1, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': nan, 'target_type': 'T_BYE', 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 'G7', 'mena': 0, 'region': 'Northern America', 'parameter': 'T_Economy_Unc', 'ice_phaseout': 2040, 'country_long-term_target_exists': 'x', 'ghg_total': 584.845706288794, 'ghg_transport_target_type': nan, 'g20': 'G20', 'target_scope': nan, 'ghg_transport': 173.797204796}"
]
] | [
"IKITracs"
] | [
0,
1
] | By implementing ambitious policies, federal, provincial and territorial governments can lead by example on many aspects of the low-carbon transition. Canada’s Federal Sustainable Development Strategy has developed objectives for greening government operations.77 The federal government has adopted a target to reduce emissions by 40% from 2005 levels by 2030, with | By implementing ambitious policies, federal, provincial and territorial governments can lead by example on many aspects of the low-carbon transition. Canada’s Federal Sustainable Development Strategy has developed objectives for greening government operations.77 The federal government has adopted a target to reduce emissions by 40% from 2005 levels by 2030, with the aspiration to achieve it earlier, potentially by 2025. | [
0,
0
] | [
"Revised First NDC"
] | [
"reduce emissions by 40-45% below 2005 levels by 2030"
] | [
[
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999338388
} | [
0,
1
] | MKD | Macedonia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | By implementing policies and measures that have negative costs, by 2030, СО2 emissions may be reduced for more than 4 Мt compared to the BAU scenario. Additionally, with relatively small investments, СО2 emissions may be reduced for additional 2 Мt. Social aspects (green jobs):. Domestic green jobs. | By implementing policies and measures that have negative costs, by 2030, СО2 emissions may be reduced for more than 4 Мt compared to the BAU scenario. Additionally, with relatively small investments, СО2 emissions may be reduced for additional 2 Мt. Social aspects (green jobs):. Domestic green jobs. | [
1,
0
] | [
"First NDC"
] | [
"\" (4)"
] | [
[
{
"Alpha2": "MK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999366999
} | [
0,
1
] | ZWE | Zimbabwe | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | By improving the availability and supply of water, this measure would also benefit women directly by reducing their burden associated with fetching water, allowing them to access other productive activities. Increases in water efficiency will also bring mitigation benefits, as less resources would be used in water provision. Furthermore, crop | By improving the availability and supply of water, this measure would also benefit women directly by reducing their burden associated with fetching water, allowing them to access other productive activities. Increases in water efficiency will also bring mitigation benefits, as less resources would be used in water provision. Furthermore, crop and pasture productivity would increase, which would increase carbon-capture capacity through roots and residues, all other things being equal. | [
0,
1
] | [
"Revised First NDC"
] | [
"Improving water governance and scale up financing"
] | [
[
{
"Alpha2": "ZW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water management"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999346733
} | [
2,
0
] | LAO | Laos | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | By increasing the level of rural electrification, reliance on woodfuel and fossil fuels will be reduced. Objective. Lao PDR has set a target of making electricity available to 90% of the households by the year 2020. Electrification has already improved from a low of 15% in 1995 to 73% in | By increasing the level of rural electrification, reliance on woodfuel and fossil fuels will be reduced. Objective. Lao PDR has set a target of making electricity available to 90% of the households by the year 2020. Electrification has already improved from a low of 15% in 1995 to 73% in 2010. Base year. 2010. Methodology for assessing base year and anticipated future emissions. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"63ktCO2 per year",
"63ktCO2 per year"
] | [
[
{
"Alpha2": "LA",
"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"
}
],
[
{
"Alpha2": "LA",
"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"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999357462
} | [
0,
2
] | JPN | Japan | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 40, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 'G7', 'geo_inter-city': 'x', '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': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Hydrogen', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Hydrogen', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 40, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Electrification', 'g7': 'G7', 'geo_inter-city': 'x', 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 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': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | By promoting the development and diffusion of next-generation heavy-duty vehicles through cooperation between industry, academia and government, the Government aims to develop electrification technology and to improve the environmental performance of internal combustion engines, both of which are indispensable for further reduction of CO2 emissions, thereby putting these technologies into | By promoting the development and diffusion of next-generation heavy-duty vehicles through cooperation between industry, academia and government, the Government aims to develop electrification technology and to improve the environmental performance of internal combustion engines, both of which are indispensable for further reduction of CO2 emissions, thereby putting these technologies into practical use. Especially, in response to the growing need for decarbonization of logistics services among shippers and consumers, the Government will promote the use of electrified vehicles, such as the electrification of intra-regional transportation and delivery and the development and diffusion of fuel cell trucks for long-distance transportation. | [
0,
0
] | [
"LTS"
] | [
"delivery and the development and diffusion of fuel cell trucks for long-distance transportation",
"electrification of intra-regional transportation"
] | [
[
null
],
[
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999195337
} | [
1,
0
] | GAB | Gabon | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | By taking into account forest-related emissions (which were not included in the national GHG emissions inventory), these measures will reduce GHG emissions by more than 1,500,000 GgCO2 over 2010- 2025, ie 68% compared to the trend scenario (63% in 2025). D. Petroleum Industry - Flaring. Representing 23% of direct emissions | By taking into account forest-related emissions (which were not included in the national GHG emissions inventory), these measures will reduce GHG emissions by more than 1,500,000 GgCO2 over 2010- 2025, ie 68% compared to the trend scenario (63% in 2025). D. Petroleum Industry - Flaring. Representing 23% of direct emissions in 2000, emissions associated with the flaring of associated gas in oil production have been the subject of several measures. | [
0,
1
] | [
"First NDC"
] | [
"-68% emissions by 2020 compared to the baseline scenario"
] | [
[
{
"Alpha2": "GA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Land Management"
}
]
] |
[
0,
28
] | {
"label": "en-US",
"score": 0.9999228716
} | [
2,
26
] | SYC | Seychelles | [
2,
26
] | [
[
null,
null,
null,
null,
null,
null,
null,
null,
null
],
[
null
],
[
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null
],
[
null
]
] | [
"CW"
] | [
26,
2
] | By taking into account the emission reductions arising from (1) RE and EE (i.e. 124 ktCO2e in 2030), (2) land transport (i.e. 50.13 ktCO2e by 2030), and (3) methane capture and flaring from the old landfill (i.e. 13.91 ktCO2e by 2030), the total emissions in 2030 can be reduced by | By taking into account the emission reductions arising from (1) RE and EE (i.e. 124 ktCO2e in 2030), (2) land transport (i.e. 50.13 ktCO2e by 2030), and (3) methane capture and flaring from the old landfill (i.e. 13.91 ktCO2e by 2030), the total emissions in 2030 can be reduced by 188 ktCO2e - i.e. the contribution of Seychelles. With this contribution, Seychelles will be a net sink of GHGs by about 50 ktCO2 in 2030, and it will become a net emitter only after 2033. | [
0,
28
] | [
"First NDC",
"INDC"
] | [
"2030",
"50.13 ktCO2e reduction below BAU in 2030",
"up to 2030 and beyond",
"50.13 ktCO2e reduction below BAU in 2030"
] | [
[
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Coastal Zone",
"SubSector": "Coastal fisheries"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Coastal Zone",
"SubSector": "Coastal Zone: General"
},
{
"Alpha2": "SC",
"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": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Water",
"SubSector": "Infrastructure"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Water",
"SubSector": "Water management"
}
],
[
{
"Alpha2": "SC",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
],
[
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Coastal Zone",
"SubSector": "Coastal management"
},
{
"Alpha2": "SC",
"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": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Tourism",
"SubSector": "Tourism: General"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Energy",
"SubSector": "Energy: General"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Energy",
"SubSector": "Renewable energy"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Transport",
"SubSector": "Transport: General"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Health",
"SubSector": "Health services and assessment"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Urban",
"SubSector": "Buildings"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Water",
"SubSector": "Infrastructure"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Urban",
"SubSector": "Waste management"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Water",
"SubSector": "Water management"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
},
{
"Alpha2": "SC",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "SC",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Transport: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999228716
} | [
1,
0
] | SYC | Seychelles | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 11, '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, T_TRA', 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Transport_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 1.05052601477, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': 'T_SUB', 'ghg_transport': 0.524482887}"
]
] | [
"IKITracs"
] | [
0,
1
] | By taking into account the emission reductions arising from (1) RE and EE (i.e. 124 ktCO2e in 2030), (2) land transport (i.e. 50.13 ktCO2e by 2030), and (3) methane capture and flaring from the old landfill (i.e. 13.91 ktCO2e by 2030), the total emissions in 2030 can be reduced by | By taking into account the emission reductions arising from (1) RE and EE (i.e. 124 ktCO2e in 2030), (2) land transport (i.e. 50.13 ktCO2e by 2030), and (3) methane capture and flaring from the old landfill (i.e. 13.91 ktCO2e by 2030), the total emissions in 2030 can be reduced by 188 ktCO2e – i.e. the contribution of Seychelles. With this contribution, Seychelles will be a net sink of GHGs by about 50 ktCO2 in 2030, and it will become a net emitter only after 2033. | [
0,
0
] | [
"First NDC"
] | [
"From land transport, emission reductions by 26.5 ktCO2e in 2025 and 50.13 ktCO2e in 2030 relative to baseline emissions "
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999376535
} | [
0,
1
] | JPN | Japan | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 39, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General alternative fuels', 'mode_water': 'x', '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_Altfuels', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | By technology development supported by the Green Innovation Fund and other policy tools, the Government aims to start a demonstration project of zero-emission ships by 2025, realize the commercial operation of zero-emission ships before 2028, and further spread zero-emission ships towards 2030. In 2050, the fuel used for ships is | By technology development supported by the Green Innovation Fund and other policy tools, the Government aims to start a demonstration project of zero-emission ships by 2025, realize the commercial operation of zero-emission ships before 2028, and further spread zero-emission ships towards 2030. In 2050, the fuel used for ships is expected to be converted into alternative fuels such as hydrogen and ammonia. | [
0,
0
] | [
"LTS"
] | [
"Japan aims to start a demonstration project of zero_x0002_emission ships by 2025, realize the commercial operation of zero-emission ships before 2028, and further spread zero-emission ships towards 2030. In 2050, the fuel used for ships is expected to be converted into alternative fuels such as hydrogen and ammonia."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999347925
} | [
1,
0
] | NOR | Norway | [
0,
1
] | [
[
"{'annex_type': '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': nan, 'target_type': 'T_BYE', 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Europe', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 47.9907763048091, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 12.976111022618}"
]
] | [
"IKITracs"
] | [
0,
1
] | By this submission, Norway updates and enhances its nationally determined contribution under the Paris Agreement to reduce emissions by at least 50 per cent and towards 55 per cent compared to 1990 levels by 2030. Norway seeks to fulfil the enhanced ambition through the climate cooperation with the European Union. | By this submission, Norway updates and enhances its nationally determined contribution under the Paris Agreement to reduce emissions by at least 50 per cent and towards 55 per cent compared to 1990 levels by 2030. Norway seeks to fulfil the enhanced ambition through the climate cooperation with the European Union. | [
0,
0
] | [
"Revised First NDC"
] | [
"To reduce emissions by at least 50% and towards 55% compared to 1990 levels by 2030."
] | [
[
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999364614
} | [
0,
1
] | AGO | Angola | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | By undertaking these actions Angola will achieve the potential conditional target of 50 % emissions reductionbelow BAU emission levels by 2030.For this, the Government of Angola will pursue international support to utilize existing and emerging climate finance mechanisms and will encourage investments in green growth development initiatives. These projects are | By undertaking these actions Angola will achieve the potential conditional target of 50 % emissions reductionbelow BAU emission levels by 2030.For this, the Government of Angola will pursue international support to utilize existing and emerging climate finance mechanisms and will encourage investments in green growth development initiatives. These projects are briefly described below and several of them are already on the agenda or subjected to feasibility assessments. | [
0,
1
] | [
"First NDC"
] | [
"Undertaking inclusive and climate-informed planning for new and existing infrastructure"
] | [
[
{
"Alpha2": "AO",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Coastal Zone",
"SubSector": "Coastal Zone: General"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999296665
} | [
0,
3
] | LSO | Lesotho | [
3,
0
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
0,
3
] | By using the suppressed demand method for this potential emissions reduction calculation, and assuming a daily use of 0.5 litres of paraffin for cooking, the potential reduction would be 60,000 households * 0.5 litres* 2.6 kgCO2/litre* 365 days/1000 = 29,200 tCO2/year. Construction of a 6 m3 bio-digester cost USD 1.800. | By using the suppressed demand method for this potential emissions reduction calculation, and assuming a daily use of 0.5 litres of paraffin for cooking, the potential reduction would be 60,000 households * 0.5 litres* 2.6 kgCO2/litre* 365 days/1000 = 29,200 tCO2/year. Construction of a 6 m3 bio-digester cost USD 1.800. Construction of 60,000 bio-digesters will cost USD 108 million. Waste Sector Mitigation Options and Targets. Mitigation Policy/ Program. | [
0,
3
] | [
"INDC"
] | [
"$0.5 million"
] | [
[
{
"Alpha2": "LS",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen9",
"QuestionDefinition": "Estimated cost of implementation for the unconditional part of a given sectoral plan",
"QuestionText": "Estimated costs for implementation (unconditional)",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Forest Management"
},
{
"Alpha2": "LS",
"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": "Waste",
"SubSector": "Waste-to-Energy"
},
{
"Alpha2": "LS",
"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": "Waste",
"SubSector": "Waste-to-Energy"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999288321
} | [
2,
3
] | KHM | Cambodia | [
0,
5
] | [
[
null,
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
5,
0
] | By: 2008: Complete 50% of Urban. Buildings. And 50% of rural housing. By 2030: Complete 100% of Urban Buildings and 100% of rural housings. The project will produce low-carbon. emissions to enhance environmental. atmosphere. Social co-benefit: build assets (housing) for low income and homeless people. 2560000. Climate-resilient building construction technology | By: 2008: Complete 50% of Urban. Buildings. And 50% of rural housing. By 2030: Complete 100% of Urban Buildings and 100% of rural housings. The project will produce low-carbon. emissions to enhance environmental. atmosphere. Social co-benefit: build assets (housing) for low income and homeless people. 2560000. Climate-resilient building construction technology and Lowcost affordable housing technology. Target: 30%. Restoration can be a crucial opportunity for women’s economic empowerment. | [
0,
5
] | [
"Revised First NDC"
] | [
"2560000",
"“By 2023: Complete zoning and all toolkits, and guidelines By: 2008: Complete 50% of Urban Buildings And 50% of rural housing By 2030: Complete 100% of Urban Buildings and 100% of rural housings” (p. 123)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Urban",
"SubSector": "Sustainable urban planning"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Social Development",
"SubSector": "Social Development: General"
}
],
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Urban",
"SubSector": "Sustainable urban planning"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Social Development",
"SubSector": "Social Development: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999341965
} | [
0,
2
] | KHM | Cambodia | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | By: 2008: Complete 50% of rural housing. By 2030: Complete 100% of rural shelters in social land concession. The project will produce low-carbon emission that is to enhance environmental atmosphere. Social co-benefit: reduce land conflict, improve livelihood of beneficiaries through provision of low-cost shelters in the areas of social land | By: 2008: Complete 50% of rural housing. By 2030: Complete 100% of rural shelters in social land concession. The project will produce low-carbon emission that is to enhance environmental atmosphere. Social co-benefit: reduce land conflict, improve livelihood of beneficiaries through provision of low-cost shelters in the areas of social land concession. 32560000. Target: 30%. Restoration can be a crucial opportunity for women’s economic empowerment. 50% of all newly contracted rural shelters are used by women. | [
0,
2
] | [
"Revised First NDC"
] | [
"32560000"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Urban",
"SubSector": "Buildings"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Social Development",
"SubSector": "Social Development: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999355078
} | [
0,
1
] | CAN | Canada | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | CANADA’S 2017 NATIONALLY DETERMINED CONTRIBUTION SUBMISSION TO THE UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE. Following the release of the Pan-Canadian Framework on Clean Growth and Climate Change, Canada’s plan to address climate change and grow the economy, the Government of Canada is pleased to update its Nationally Determined Contribution | CANADA’S 2017 NATIONALLY DETERMINED CONTRIBUTION SUBMISSION TO THE UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE. Following the release of the Pan-Canadian Framework on Clean Growth and Climate Change, Canada’s plan to address climate change and grow the economy, the Government of Canada is pleased to update its Nationally Determined Contribution submission under the Paris Agreement. | [
0,
1
] | [
"First NDC"
] | [
"Preparing for a changing climate by planning for floods and droughts"
] | [
[
{
"Alpha2": "CA",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster Risk Management (DRM): General"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999550581
} | [
0,
2
] | CHL | Chile | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 152, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, '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': 'x', 'activity_type': 'E_Freight', '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': 'Latin America and the Caribbean', 'parameter': 'I_Hydrogen', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 152, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': 'x', 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger, E_Freight', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General alternative fuels', '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': 'x', 'region': 'Latin America and the Caribbean', 'parameter': 'I_Altfuels', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | CAPÍTULO 5/8 | MINISTERIO DEL MEDIO AMBIENTE | 2021 CAPÍTULO 5/8 | MINISTERIO DEL MEDIO AMBIENTE | 2021 Objetivo 6: Aumentar el uso de tecnologías limpias (baja o cero emisión de carbono) en el trans- porte público urbano, transporte privado, transporte interurbano de pasajeros y transporte de carga urbano e | CAPÍTULO 5/8 | MINISTERIO DEL MEDIO AMBIENTE | 2021 CAPÍTULO 5/8 | MINISTERIO DEL MEDIO AMBIENTE | 2021 Objetivo 6: Aumentar el uso de tecnologías limpias (baja o cero emisión de carbono) en el trans- porte público urbano, transporte privado, transporte interurbano de pasajeros y transporte de carga urbano e interurbano. [Estrategia 3: Mejorar] Meta 6.1: Al 2030, haber dado inicio a un programa de cambio a tecnologías limpias en la Logística Urbana, mediante experiencias piloto en electromo- vilidad e hidrógeno verde, certificación de vehículos, campañas de promo- ción e información, gestión y difusión de datos y coordinación internacional Holanda y H2 /Chile para el Hidrógeno Verde. | [
0,
0
] | [
"LTS"
] | [
"Al 2030, haber dado inicio a un programa de cambio a tecnologías limpias en la Logística Urbana, mediante experiencias piloto en electromo_x0002_vilidad e hidrógeno verde, certificación de vehículos, campañas de promo_x0002_ción e información, gestión y difusión de datos y coordinación internacional Holanda y H2 /Chile para el Hidrógeno Verde",
"umentar el uso de tecnologías limpias (baja o cero emisión de carbono) en el trans_x0002_porte público urbano, transporte privado, transporte interurbano de pasajeros y transporte de carga urbano e interurbano."
] | [
[
null
],
[
null
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999029636
} | [
0,
3
] | CAF | Central African Republic | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | CAR s revised NDC relies on an improved and more robust database to estimate baseline scenario emissions and removals and reductions induced by mitigation measures. Table 7: Information to facilitate clarity, transparency and understanding. WB Climate Change Knowledge Portal (CCKP, 2021). Central African Republic URL: GERICS (2015). Climate-Fact-Sheet, Central African | CAR s revised NDC relies on an improved and more robust database to estimate baseline scenario emissions and removals and reductions induced by mitigation measures. Table 7: Information to facilitate clarity, transparency and understanding. WB Climate Change Knowledge Portal (CCKP, 2021). Central African Republic URL: GERICS (2015). Climate-Fact-Sheet, Central African Republic↩. | [
0,
3
] | [
"Revised First NDC"
] | [
"Raising understanding of the value of nature for climate adaptation"
] | [
[
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "CF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999330044
} | [
0,
1
] | PAK | Pakistan | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 71, '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 economic instruments', '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_Economic', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | CARBON PRICING INSTRUMENT: Under the Collaborative Instruments for Ambitious Climate Action (CIACA) program, Pakistan has received support to establish Carbon Pricing Instrument (CPI). A range of activities have commenced including capacity building on carbon pricing, national consultation on carbon pricing, and scoping of pricing instruments in Pakistani context. The aim | CARBON PRICING INSTRUMENT: Under the Collaborative Instruments for Ambitious Climate Action (CIACA) program, Pakistan has received support to establish Carbon Pricing Instrument (CPI). A range of activities have commenced including capacity building on carbon pricing, national consultation on carbon pricing, and scoping of pricing instruments in Pakistani context. The aim is to explore options for the introduction of domestic CPIs to manage the cohort of large-scale emitting installations, representing around 27% of domestic emissions, as well as an opportunity for similar or related economic instruments for the transport sector that. | [
0,
0
] | [
"Revised First NDC"
] | [
"CARBON PRICING INSTRUMENT: Under the Collaborative Instruments for Ambitious Climate Action (CIACA) program, Pakistan has received support to establish Carbon Pricing Instrument (CPI). A range of activities have commenced including capacity building on carbon pricing, national consultation on carbon pricing, and scoping of pricing instruments in Pakistani context. The aim is to explore options for the introduction of domestic CPIs to manage the cohort of large-scale emitting installations, representing around 27% of domestic emissions, as well as an opportunity for similar or related economic instruments for the transport sector that. "
] | [
[
null
]
] |
[
0,
7
] | {
"label": "en-US",
"score": 0.9999264479
} | [
0,
7
] | MDA | Moldova | [
0,
7
] | [
[
null,
null,
null,
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
7,
0
] | CCA data gathering and analysis processes in place, access to climate information improved through the development and application of analytical tools. -. -. Ensure a good understanding of impacts from climate-related hazards at sector level, with efforts to be focused on translating the results of the assessments into actionable information | CCA data gathering and analysis processes in place, access to climate information improved through the development and application of analytical tools. -. -. Ensure a good understanding of impacts from climate-related hazards at sector level, with efforts to be focused on translating the results of the assessments into actionable information for the decision-makers of national and sub-national level, businesses, and communities which have the responsibility to respond to shifting probabilities and impacts of climate-related hazards. | [
2,
5
] | [
"Revised First NDC"
] | [
"Boosting efforts to warn, respond, and protect",
"Cross-sectorial priorities: Policy enforcement, knowledge and capacity building: \"CCA data gathering and analysis processes in place, access to climate information improved through the development and application of analytical tools\" (30) including through local level consultants ranking vulnerabilities, as well as application of forecasting/modelling tools (30)"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster Risk Management (DRM): General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Social Development",
"SubSector": "Safety net"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Water",
"SubSector": "Water: General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
},
{
"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,
3
] | {
"label": "en-US",
"score": 0.999933362
} | [
3,
0
] | KHM | Cambodia | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | CCCSP 20142023:a) Leverage the decentralization process to strengthen financial and institutional processes for local adaptation b) Mainstream climate change into national and sub-national development plans and the. NSPS. Strengthen climate-resilient local governance through financial, institutional, policy and strategic plan reform in order to respond to current and projected climate hazards | CCCSP 20142023:a) Leverage the decentralization process to strengthen financial and institutional processes for local adaptation b) Mainstream climate change into national and sub-national development plans and the. NSPS. Strengthen climate-resilient local governance through financial, institutional, policy and strategic plan reform in order to respond to current and projected climate hazards and prevent from loss and damage due to hazard. Baseline: 0. Targets: 10 communes of 4 provinces namely Battambang, Pursat, Kampong Chhaning, and Siem Reap Province witd integration of climate. change into financial management,. | [
0,
3
] | [
"Revised First NDC"
] | [
"“10 communes of 4 provinces namely Battambang, Pursat, Kampong Chhaning, and Siem Reap Province with integration of climate change into financial management, institutional arrangement and policy reform by 2028” (p. 127)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water quality"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Energy",
"SubSector": "Renewable energy"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Urban",
"SubSector": "Waste management"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999257326
} | [
2,
0
] | FJI | Fiji | [
0,
2
] | [
[
"{'g7': 0, 'IkiSheet': 'netzero', 'page_number': 4, 'target_year': 2050.0, 'region': 'Oceania', 'parameter': 'T_Netzero', 'ice_phaseout_target': nan, 'oecd': 'non-OECD', 'target_type': 'T_FL', 'ghg_total': 1.36076589859094, 'income_group': 'Middle-income', 'g20': 0, 'annex_type': 'Non-Annex I', 'ghg_transport': 0.6621923229}",
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 4, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2050, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': nan, 'target_type': 'T_FL', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Oceania', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 1.36076589859094, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.6621923229}"
]
] | [
"IKITracs"
] | [
0,
2
] | CCICD then engaged members of the Steering Committee as well as numerous national and international experts and stakeholders from private sector, academia, and civil society through a participatory process to develop the LEDS (described in section 1.5 below). 1.2 FIJI’S VISION Fiji aims to reach net zero carbon emissions by | CCICD then engaged members of the Steering Committee as well as numerous national and international experts and stakeholders from private sector, academia, and civil society through a participatory process to develop the LEDS (described in section 1.5 below). 1.2 FIJI’S VISION Fiji aims to reach net zero carbon emissions by 2050 across all sectors of its economy. This is consistent and aligns directly with Fiji’s objective stated above to ensure that net zero emissions is achieved globally by 20503. | [
0,
0
] | [
"LTS"
] | [
"To reach net zero carbon emissions by 2050 across all sectors"
] | [
[
null,
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999374151
} | [
2,
0
] | SGP | Singapore | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | CCRS has expanded, with a new Programme Office that will drive the formulation and implementation of Singapore’s national climate science research masterplan and build a vibrant climate science research landscape in Singapore. CCRS will also undertake a National Sea Level Research programme to develop more robust projections of sea level | CCRS has expanded, with a new Programme Office that will drive the formulation and implementation of Singapore’s national climate science research masterplan and build a vibrant climate science research landscape in Singapore. CCRS will also undertake a National Sea Level Research programme to develop more robust projections of sea level rise, and seek to enhance understanding of long-term sea level rise and its variability, regional patterns and extreme weather events. CCRS will also cooperate with regional counterparts to study in further detail how climate change is affecting the region. | [
0,
2
] | [
"Revised First NDC"
] | [
"CCRS will also undertake a National Sea Level Research programme to develop more robust projections of sea level rise, and seek to enhance understanding of long-term sea level rise and its variability, regional patterns and extreme weather events...CCRS will also cooperate with regional counterparts to study in further detail how climate change is affecting the region"
] | [
[
{
"Alpha2": "SG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "SG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999383688
} | [
0,
1
] | SGP | Singapore | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 109, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Other adaptation measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'R_Other', 'mode_private_cars': nan, 'category': 'Other adaptation measures', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | CCRS has set aside S$10 million for a National Sea Level Research Programme to develop more robust projections of sea level rise and improve our knowledge on how rising sea levels will affect Singapore. For many of these measures, we will need to start implementing them now and stage them | CCRS has set aside S$10 million for a National Sea Level Research Programme to develop more robust projections of sea level rise and improve our knowledge on how rising sea levels will affect Singapore. For many of these measures, we will need to start implementing them now and stage them appropriately over the next 100 years. By planning early, we can phase in the necessary measures in a timely manner whilst spreading out the costs over many years. Geo-bags at East Coast Park. | [
0,
0
] | [
"LTS"
] | [
"CCRS has set aside S$10 million for a National Sea Level Research Programme to develop more robust projections of sea level rise and improve our knowledge on how rising sea levels will affect Singapore."
] | [
[
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999355078
} | [
0,
1
] | QAT | Qatar | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | CCS is included for new LNG facilities and concepts, for remaining LNG facilities will be developed and implemented considering the economic, safety and environmental concerns. QP signed a set of Guiding Principles on 22 March 2018 that aim to reduce methane emissions across the natural gas value chain stretching from | CCS is included for new LNG facilities and concepts, for remaining LNG facilities will be developed and implemented considering the economic, safety and environmental concerns. QP signed a set of Guiding Principles on 22 March 2018 that aim to reduce methane emissions across the natural gas value chain stretching from production to the final consumer. The principles aim to continuously curb methane emissions, stimulate strong performance across gas value chains, enhance the accuracy of methane emissions data, advance sound policies and regulations on methane emissions, and to increase transparency. | [
1,
0
] | [
"Revised First NDC"
] | [
"\"QP signed a set of Guiding Principles on 22 March 2018 that aim to reduce methane emissions across the natural gas value chain stretching from production to the final consumer. The principles aim to continuously curb methane emissions, stimulate strong performance across gas value chains, enhance the accuracy of methane emissions data, advance sound policies and regulations on methane emissions, and to increase transparency. In 2019, Qatar Petroleum introduced the smart leak detection and repair program (LDAR) in all upstream and downstream facilities of the oil & gas industry."
] | [
[
{
"Alpha2": "QA",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Gas"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999297857
} | [
1,
0
] | JPN | Japan | [
0,
1
] | [
[
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 2, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_ZERO', 'target_year': 2050, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': nan, 'target_type': nan, 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 'G7', 'mena': 0, 'region': 'Asia', 'parameter': 'T_Transport_O_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 1153.71698398869, 'ghg_transport_target_type': nan, 'g20': 'G20', 'target_scope': nan, 'ghg_transport': 187.234888849}"
]
] | [
"IKITracs"
] | [
0,
1
] | CCU including artificial photosynthesis, Carbon Recycling and biomass) • Achieving drastic improvement of energy efficiency, development and introduction of low-GWP and non-fluorocarbon refrigerant technology towards complete transition from fluorocarbons in longer term, promotion of decarbonization in corporate management (1) Future vision Challenging for “Well-to-Wheel Zero Emission” （ e.g. achieving the | CCU including artificial photosynthesis, Carbon Recycling and biomass) • Achieving drastic improvement of energy efficiency, development and introduction of low-GWP and non-fluorocarbon refrigerant technology towards complete transition from fluorocarbons in longer term, promotion of decarbonization in corporate management (1) Future vision Challenging for “Well-to-Wheel Zero Emission” （ e.g. achieving the world’s highest level of environmental performance of Japanese cars supplied worldwide by 2050） (2) Direction of policies and measures for the future vision Enhanced international policy coordination on electrified vehicles, including automotive environmental performance assessment on ”Well-to-Wheel“ base, promotion of open innovation for the next-generation electrification-related technologies, road/transport systems using big data and IoT. 4.Community and Living Creating the “Circulating and Ecological Economy” advanced local decarbonization, and achieve the SDGs with integrated improvements on the environment, economy and society, thereby achieving a carbon neutral, resilient and comfortable community and living by 2050. | [
0,
0
] | [
"LTS"
] | [
"(1) Future vision\nChallenging for “Well-to-Wheel Zero Emission”（e.g. achieving the world’s highest level of environmental performance of Japanese cars supplied worldwide by 2050)\n(2) Direction of policies and measures for the future vision\nEnhanced international policy coordination on electrified vehicles, including automotive environmental performance assessment on ”Well-to-Wheel“ base, promotion of open innovation for the next-generation electrification-related technologies, road/transport systems using big data and IoT."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9998354912
} | [
0,
1
] | SGP | Singapore | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 54, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General active mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Activemobility', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': 'x'}"
]
] | [
"IKITracs"
] | [
0,
1
] | CHARTING SING APORE S LOW- C ARBON AND CLIMATE RE SILIENT FUTURE CHARTING SING APORE S LOW- C ARBON AND CLIMATE RE SILIENT FUTURE Chapter 4 | Key Long-Term Climate Actions Expanding the Active Mobility Network Singapore will accelerate the building of cycling paths and active mobility infrastructure to make | CHARTING SING APORE S LOW- C ARBON AND CLIMATE RE SILIENT FUTURE CHARTING SING APORE S LOW- C ARBON AND CLIMATE RE SILIENT FUTURE Chapter 4 | Key Long-Term Climate Actions Expanding the Active Mobility Network Singapore will accelerate the building of cycling paths and active mobility infrastructure to make cycling and walking more convenient and attractive. By 2040, our cycling path network will be extended to more than 1,000km from which was introduced in the 2013 Land Transport Master Plan, the Government built 200km of sheltered walkways from transport nodes to homes and public amenities. | [
0,
0
] | [
"LTS"
] | [
"Expanding the Active Mobility Network\nSingapore will accelerate the building of cycling paths and active mobility infrastructure to make cycling and walking more convenient and attractive. "
] | [
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999284744
} | [
1,
1
] | KHM | Cambodia | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | CLC from 17 in 2020 to. 145 LLC in 2030. Students shall understand:1. Climate change mitigation. 2. Pollution. 3. Biodiversity. 4. Environment conservation 5. 5Rs. 950,000. 990,000. CLC Standard. Criteria for ranking CLC. Increase percentage of girls for:. Enrollment rate. Promotion rate. Target: 30% for girls by 2023. Textbook publicationunconditional | CLC from 17 in 2020 to. 145 LLC in 2030. Students shall understand:1. Climate change mitigation. 2. Pollution. 3. Biodiversity. 4. Environment conservation 5. 5Rs. 950,000. 990,000. CLC Standard. Criteria for ranking CLC. Increase percentage of girls for:. Enrollment rate. Promotion rate. Target: 30% for girls by 2023. Textbook publicationunconditional (National budget+partners). Others: Conditional. Field testing for curriculum and textbook. 4, 5, 13. 22. Build centers of excellence for delivering climate change courses and research among. Universities. Education. Ministry of. Education,. Youth and. Sport. (MOEYS). 1. Cambodia. National. | [
1,
1
] | [
"Revised First NDC"
] | [
"“Build centers of excellence for delivering climate change courses and research among Universities” (p. 112)",
"“Increase the update of CLC from 17 in 2020 to 145 LLC in 2030” (p. 112)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Education",
"SubSector": "Education: General"
}
],
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Education",
"SubSector": "Education: General"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999337196
} | [
0,
1
] | DEU | Germany | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 56, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', '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': 'x', '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_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | CLIMATE ACTION PLAN 2050 / CABINET RESOLUTION Air and maritime transport The German government will address the current re- search need and – depending on the outcome of the research – will present a concept for expanding the use of electricity-based fuels in national and international air and maritime transport | CLIMATE ACTION PLAN 2050 / CABINET RESOLUTION Air and maritime transport The German government will address the current re- search need and – depending on the outcome of the research – will present a concept for expanding the use of electricity-based fuels in national and international air and maritime transport and launching them on the market. The role of waste and residue-based biofuels should also be explored in this context. | [
0,
0
] | [
"LTS"
] | [
"The German government will address the current research\nneed and – depending on the outcome of the\nresearch – will present a concept for expanding the use\nof electricity-based fuels in national and international\nair and maritime transport and launching them on the\nmarket."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999246597
} | [
0,
1
] | DEU | Germany | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 55, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', '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_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | CLIMATE ACTION PLAN 2050 / CABINET RESOLUTION Funding electric mobility Due to the central importance of electric mobility in reducing GHG emissions from motorised road traffic, the German government will review its funding meas- ures at regular intervals and adapt them to develop- ments. | CLIMATE ACTION PLAN 2050 / CABINET RESOLUTION Funding electric mobility Due to the central importance of electric mobility in reducing GHG emissions from motorised road traffic, the German government will review its funding meas- ures at regular intervals and adapt them to develop- ments. | [
0,
0
] | [
"LTS"
] | [
"Due to the central importance of electric mobility in\nreducing GHG emissions from motorised road traffic,\nthe German government will review its funding measures\nat regular intervals and adapt them to developments."
] | [
[
null
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999217987
} | [
2,
0
] | KHM | Cambodia | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | CLUP and DLUP witd strong vision of climate change measures (Conserve 35% of area for Green Space to buffer urban development from climate hazards):20 districts:20% by 2024. 60% by 2026. By 80% by 2030, and. 100% by 2034. 350 communes land use planning (CLUP) have been completed Baseline:20% of communes,2024). | CLUP and DLUP witd strong vision of climate change measures (Conserve 35% of area for Green Space to buffer urban development from climate hazards):20 districts:20% by 2024. 60% by 2026. By 80% by 2030, and. 100% by 2034. 350 communes land use planning (CLUP) have been completed Baseline:20% of communes,2024). 60% by 2026(unconditional) By 80% (conditional) by 2030, and 100% by 2034. Enhance terrestrial, aquatic resources of each ecosystem of. the commune and. | [
0,
2
] | [
"Revised First NDC"
] | [
"“20 districts: 20% by 2024 60% by 2026 By 80% by 2030, and 100% by 2034 350 communes land use planning (CLUP) have been completed Baseline:20% of communes,2024) 60% by 2026(unconditional) By 80% (conditional) by 2030, and 100% by 2034” (p. 122)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Land and soil management"
},
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999364614
} | [
2,
0
] | NGA | Nigeria | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | CNG) in transport and in power generation. The key difficulty may be enforcement, but the benefits are large. Eliminating flaring by 2030 could save around 64 million tonnes of CO2 per year.[8] The World Bank estimates that this would have a net benefit of $61 per tonne. It could combine | CNG) in transport and in power generation. The key difficulty may be enforcement, but the benefits are large. Eliminating flaring by 2030 could save around 64 million tonnes of CO2 per year.[8] The World Bank estimates that this would have a net benefit of $61 per tonne. It could combine well with other mitigation measures such as substitution of natural gas-fired electricity generation for diesel generators. 4.2.3 Energy. The government has made addressing the need to provide access to energy for all Nigerians a priority. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"64 MtCO2e",
"64 MtCO2e"
] | [
[
{
"Alpha2": "NG",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Gas Flaring"
}
],
[
{
"Alpha2": "NG",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Gas Flaring"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999028444
} | [
0,
1
] | EEU | European Union | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 4, '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_Passenger, E_Freight', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Vehicle efficiency standards', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': nan, 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Vehicleeff', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | CO2 emissions per kilometre from passenger cars sold in the EU must be reduced, on average by 37.5% from 2021 levels by 2030, and new vans on average by 31% from 2021 levels by 2030.11 CO2 emissions per kilometre from new large lorries must be reduced on average by 30% | CO2 emissions per kilometre from passenger cars sold in the EU must be reduced, on average by 37.5% from 2021 levels by 2030, and new vans on average by 31% from 2021 levels by 2030.11 CO2 emissions per kilometre from new large lorries must be reduced on average by 30% from 2019/2020 reference period levels. As part of a mandated review in 2022, targets may be revised and/or extended to smaller lorries, buses, coaches and trailers.12 Regulation (EU) 2018/841 of the European Parliament and of the Council of 30 May 2018 on the inclusion of greenhouse gas emissions and removals from land use, land use change and forestry in the 2030 climate and energy framework, and amending Regulation (EU) No 525/2013 and Decision No 529/2013/EU Directive (EU) 2018/2002 of the European Parliament and of the Council of 11 December 2018 amending Directive 2012/27/EU on energy efficiency Directive (EU) 2018/2001 of the European Parliament and of the Council of 11 December 2018 on the promotion of the use of energy from renewable sources In 2017, the EU reached a share of 17.52% of renewable energy as per European Commission Renewable Energy Progress Regulation (EU) 2019/631 of the European Parliament and of the Council of 17 April 2019 setting CO2 emission performance standards for new passenger cars and for new light commercial vehicles, and repealing Regulations (EC) No 443/2009 and (EU) No 510/2011. | [
0,
0
] | [
"Revised First NDC"
] | [
"As part of a mandated review in 2022, targets may be revised and/or extended to smaller lorries, buses, coaches and trailers."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999376535
} | [
0,
10
] | SVK | Slovakia | [
10,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'General shared mobility', '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': 'S_Sharedmob', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'General parking measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': 'x', 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Parking', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Public transit integration and expansion', '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': 'S_PTIntegration', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': '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': 'Europe', 'parameter': 'A_Procurement', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Intermodality measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': 'x', 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Intermodality', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': 'x', 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'On-demand transport', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Ondemand', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Financial instruments to support decarbonisation', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': 'x', 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Finance', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General infrastructure 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': 'Europe', 'parameter': 'S_Infraimprove', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': 'x', 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 50, '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': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Public transit integration and expansion', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_PTIntegration', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': 'x', 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
10
] | CO2 eq. (Gg) WAM scenario - Increase the attractiveness and comfort of public transport at all levels: Enable the arrival of private rail carriers on national routes; - Renew the rail carrier’s train fleet; - Support the development of public passenger rail transport (trams and trolleybuses), support the development | CO2 eq. (Gg) WAM scenario - Increase the attractiveness and comfort of public transport at all levels: Enable the arrival of private rail carriers on national routes; - Renew the rail carrier’s train fleet; - Support the development of public passenger rail transport (trams and trolleybuses), support the development of alternative-fuelled bus public passenger transport and support regular alternative-fuelled passenger ship transport; - Gradually reduce the procurement of public transport vehicles using fossil fuels with high greenhouse gas emissions, from public funds; - Harmonize national and local public passenger transport timetables; - Expand the Integrated transport system (IDS) to other regions; - Introduce and support flexible public passenger transport systems (bus on demand or with flexible routes), particularly in areas with low population density; - Develop Park&Ride facilities; - Carpooling; - Introduce financial and support measures to make public transport more financially attractive to the public than individual car transport. | [
0,
0
] | [
"LTS"
] | [
"Carpooling",
"Develop Park&Ride facilities",
"Expand the Integrated transport system (IDS) to other regions",
"Gradually reduce the procurement of public transport vehicles using fossil fuels with high greenhouse gas emissions, from public funds",
"Harmonize national and local public passenger transport timetables",
"Increase the attractiveness and comfort of public transport at all levels: - Enable the arrival of private rail carriers on national routes",
"Introduce and support flexible public passenger transport systems (bus on demand or with flexible routes), particularly in areas with low population density",
"Introduce financial and support measures to make public transport more financially attractive to the public than individual car transport",
"Renew the rail carrier’s train fleet",
"Support the development of public passenger rail transport (trams and trolleybuses), support the development of alternative-fuelled bus public passenger transport and support regular alternative-fuelled passenger ship transport"
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
1,
0
] | {
"label": "fr-FR",
"score": 0.9999798536
} | [
0,
1
] | CMR | Cameroon | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | CO2) de GES du Cameroun suivant différents scénarii Les parts de réduction de chaque secteur en 2030 sont présentés dans le tableau ci-dessous : Tableau 1 : Part de réduction par secteur en 2030 Part de Réduction par secteur en 2030 Secteurs Agriculture FAT Energie Déchets Totaux Réduction en quantité | CO2) de GES du Cameroun suivant différents scénarii Les parts de réduction de chaque secteur en 2030 sont présentés dans le tableau ci-dessous : Tableau 1 : Part de réduction par secteur en 2030 Part de Réduction par secteur en 2030 Secteurs Agriculture FAT Energie Déchets Totaux Réduction en quantité (Gg Eq CO2) Part de chaque secteur dans la réduction totale (%.) Part de chaque secteur par rapport au pourcentage de réduction (%.) | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Fat supplementation in ruminant feed (% DM fat added)\""
] | [
[
{
"Alpha2": "CM",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999227524
} | [
0,
4
] | DOM | Dominican Republic | [
4,
0
] | [
[
null
],
[
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | CO2, CH4 and N2O. 715,500,000.00. Brief description of the option. Installation of 477 MW of wind power, taking a capacity factor of 34% from the studies published in the Renewable Energy Roadmap (IRENA 2016) and the provisional and definitive concession plans presented to the National Energy Commission (CNE ). Proposal | CO2, CH4 and N2O. 715,500,000.00. Brief description of the option. Installation of 477 MW of wind power, taking a capacity factor of 34% from the studies published in the Renewable Energy Roadmap (IRENA 2016) and the provisional and definitive concession plans presented to the National Energy Commission (CNE ). Proposal of methodologies and / or methods for monitoring. The methodological approach is consistent with the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. | [
4,
0
] | [
"Revised First NDC"
] | [
"\"Installation of 21 MW of power in small and medium-scale hydroelectric power plants taking a capacity factor of 50% from the studies published in the Renewable Energy Roadmap (IRENA 2016) and the provisional and definitive concession plans submitted to the National Energy Commission (CNE).\"",
"\"Installation of 477 MW of wind power taking a capacity factor of 34% from the studies published in the Roadmap of Renewable Energy (IRENA 2016) and the provisional and definitive concession plans submitted to the National Energy Commission (CNE).\"",
"\"Installation of 479 MW of photovoltaic solar power taking a capacity factor of 18% from the studies published in the Renewable Energy Roadmap (IRENA 2016) and the provisional and definitive concession plans presented to the National Energy Commission (CNE) for residential installations, in service buildings and solar farms.\""
] | [
[
{
"Alpha2": "DO",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "DO",
"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": "DO",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "DO",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar: Utility Scale"
}
]
] |
[
3,
1
] | {
"label": "en-US",
"score": 0.9999370575
} | [
0,
4
] | PAK | Pakistan | [
4,
0
] | [
[
null,
null,
null,
null
]
] | [
"CW"
] | [
0,
4
] | COAL: Buying out the relatively new coal power projects, including the local Thar coalmines4, would have an upfront estimated cost of US$18 billion. An additional estimated US$13 billion will be required to replace the production of the coal power plants with solar (World Bank study) This cost of energy transition | COAL: Buying out the relatively new coal power projects, including the local Thar coalmines4, would have an upfront estimated cost of US$18 billion. An additional estimated US$13 billion will be required to replace the production of the coal power plants with solar (World Bank study) This cost of energy transition alone would require US$101 billion by 2030, and additional US$65 billion by 2040, on account of completing the in-progress RE projects, additional hydropower, transmission, and phasing out of coal and replacing with hydropower. | [
0,
4
] | [
"Revised First NDC"
] | [
"This cost of energy transition alone would require US$101 billion by 2030, and additional US$65 billion by 2040, on account of completing the in-progress RE projects, additional hydropower, transmission, and phasing out of coal and replacing with hydropower. From 2020, new coal power plants are subject to a moratorium, and no generation of power through imported coal shall be allowed, shelving plans for two new coal fired power plants in favor of hydroelectric power and focusing on coal gasification and liquefaction for indigenous coal."
] | [
[
{
"Alpha2": "PK",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency"
},
{
"Alpha2": "PK",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "PK",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen5",
"QuestionDefinition": "Estimated total costs of implementation for a given sectoral plan",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "PK",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
]
] |
[
0,
2
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
2,
0
] | TGO | Togo | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | CONTEXTE NATIONAL DE L’ADAPTATION AUX CHANGEMENTS CLIMATIQUES 4.1.1. Situation nationale L’économie du Togo est dominée par les activités agricoles (près de 40 % du PIB) fortement dépendantes des conditions climatiques. Les autres secteurs de développement tels que l’énergie, les ressources en eau, la zone côtière, les établissements humains et santé, | CONTEXTE NATIONAL DE L’ADAPTATION AUX CHANGEMENTS CLIMATIQUES 4.1.1. Situation nationale L’économie du Togo est dominée par les activités agricoles (près de 40 % du PIB) fortement dépendantes des conditions climatiques. Les autres secteurs de développement tels que l’énergie, les ressources en eau, la zone côtière, les établissements humains et santé, la foresterie et autres affectations des terres restent également très vulnérables. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"Organization of value chains: Organize the value chains for all major crops up to the chain of processing and marketing of agricultural products and by-products\": 40% conditional",
"\"Promotion of LPG in households\": 40% unconditional"
] | [
[
{
"Alpha2": "TG",
"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": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "TG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen8",
"QuestionDefinition": "Unconditional part of mitigation target for a given sectoral plan",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Gas"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999290705
} | [
0,
1
] | PRT | Portugal | [
0,
1
] | [
[
"{'IkiSheet': 'investment', 'page_number': 73, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | CONTRIBUTING TO NATIONAL RESILIENCE AND CAPACITY TO ADAPT TO CLIMATE CHANGE VULNERABILITIES AND IMPACTS According to the European Commission9 1total economic losses resulting from meteorological and other extreme weather events in Europe between 1980 and 2016 amounted to over EUR 436 billion, and in Portugal this figure was around EUR | CONTRIBUTING TO NATIONAL RESILIENCE AND CAPACITY TO ADAPT TO CLIMATE CHANGE VULNERABILITIES AND IMPACTS According to the European Commission9 1total economic losses resulting from meteorological and other extreme weather events in Europe between 1980 and 2016 amounted to over EUR 436 billion, and in Portugal this figure was around EUR 7 billion. Coastal regions could suffer economic losses of about EUR 39 billion a year by 2050 and up to EUR 960 billion a year near the end of the century. | [
0,
0
] | [
"LTS"
] | [
"Total investment for transport (including carbon neutrality) from 2016 to 2050 between 394.7 billion EUR and 401 billion EUR."
] | [
[
null
]
] |
[
0,
1
] | {
"label": "fr-FR",
"score": 0.9999780655
} | [
1,
0
] | MRT | Mauritania | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE VISION DE LA CONTRIBUTION DETERMINEE NATIONALE (CDN) ACTUALISEE DE LA MAURITANIE Promouvoir un développement résilient au climat Et la création d’emplois verts durables CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE SOMMAIRE Liste des Tableaux 5 Liste | CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE VISION DE LA CONTRIBUTION DETERMINEE NATIONALE (CDN) ACTUALISEE DE LA MAURITANIE Promouvoir un développement résilient au climat Et la création d’emplois verts durables CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE SOMMAIRE Liste des Tableaux 5 Liste des figures 5 Liste des acronymes et des abréviations 6 MESSAGES CLÉS DE LA CDN 2021-2030 . 7 Première partie - Résumé exécutif . 8 I- Introduction . 8 II- Ambitions d’atténuation de la CDN 2021-2030 actualisée 10 III- Actions d’adaptation préconisées par la CDN 2021-2030 11 IV- Besoins en renforcement de capacités et appui à la mise en œuvre . 11 V- Besoins en financement de la CDN 2021-2030 et plan de financement . 12 Deuxième partie - Document de Synthèse 21 I- Introduction . 21 II-Circonstances nationales . 22 III- Composante atténuation de la CDN 25 3.1. | [
0,
1
] | [
"Revised First NDC"
] | [
"11 breaches"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Coastal Zone",
"SubSector": "Sea-level rise protection"
}
]
] |
[
0,
8
] | {
"label": "fr-FR",
"score": 0.9999786615
} | [
5,
3
] | MRT | Mauritania | [
0,
8
] | [
[
null,
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
8,
0
] | CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE Secteurs Aléas climatiques/Proje ctions Vulnérabilités / Impacts Actions adaptation sable et poussière Augmentation de la température Pluies intenses plus sévères ; • Insécurité alimentaire Elevage Sécheresses plus fréquentes et plus sévères Augmentation de la température ; • Surpâturages et réduction des espaces pastoraux | CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE Secteurs Aléas climatiques/Proje ctions Vulnérabilités / Impacts Actions adaptation sable et poussière Augmentation de la température Pluies intenses plus sévères ; • Insécurité alimentaire Elevage Sécheresses plus fréquentes et plus sévères Augmentation de la température ; • Surpâturages et réduction des espaces pastoraux • Baisse de la productivité pastorale • Dégradation de la santé animale • Baisse des revenus des pasteurs /Exode rural • Création de nouvelles fermes insémination artificielle (au moins 20 fermes) • Miseen place de réserves pastorales (20.000 ha) Pêche Continentale Perturbation de la saison des pluies Augmentation de la température Tempêtes de sable et poussière • Sédimentation des plans d’eau • Baisse de la production halieutique • Perte de revenus des populations • Insécurité alimentaire • Développement de la pêche en zone rurale (20 sites) • Aménagement de 1000 ha de plans d’eau sur (10) sites pilotes Eau & Assainissement Sécheresses plus fréquentes et plus sévères Perturbation de la saison des pluies Pluies intenses • Dégradation des ressources en eau (qualité et quantité) • Baisse du niveau piézométrique • Déréglément du régime des oueds • Inondations • Dégradation des systèmes d’assainissement (autonomes ou • Amélioration de l’accès à l’eau pour au moins 10 villes et 100 villages • Assainissement des villes à haut risque d’inondation (Nouakchott, Nouadhibou, Rosso, Atar et Kaédi) • Assainissement écologique et valorisation et réutilisations des boues de vidange (10 sites) CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE Secteurs Aléas climatiques/Proje ctions Vulnérabilités / Impacts Actions adaptation plus sévères connectés). | [
3,
5
] | [
"Revised First NDC"
] | [
"10 sites",
"10 towns and 100 villages",
"1000 ha",
"20 sites",
"Continental Fishing: “Development of 1000 ha of water bodies on (10) pilot sites” (p. 18)",
"Water & Sanitation: “Improved access to water for at least 10 towns and 100 villages",
"Water & Sanitation: “Sanitation of towns at high risk of flooding (Nouakchott, Nouadhibou, Rosso, Atar and Kaédi)” (p. 18)"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water sanitation"
},
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water supply"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water supply"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water sanitation"
}
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.999936223
} | [
0,
3
] | STP | Sao Tome and Principe | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | CONTRIBUTION IN TERMS OF ADAPTATION. 1. Rationale and process for developing INDCs on adaptation. STP adaptation measures are aimed at improving the country’s ability to adapt to the adverse consequences of CC, thus contributing to the country’s development. The rationale for the inclusion of the adaptation component in the INDC | CONTRIBUTION IN TERMS OF ADAPTATION. 1. Rationale and process for developing INDCs on adaptation. STP adaptation measures are aimed at improving the country’s ability to adapt to the adverse consequences of CC, thus contributing to the country’s development. The rationale for the inclusion of the adaptation component in the INDC takes into consideration that the country is already a sink of greenhouse gases. | [
0,
3
] | [
"First NDC"
] | [
"Embedding NbS into adaptation planning and policy"
] | [
[
{
"Alpha2": "ST",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "ST",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Agroforestry"
},
{
"Alpha2": "ST",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999785423
} | [
1,
0
] | MLI | Mali | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Low-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 1.0313536392658, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.344225387}"
]
] | [
"IKITracs"
] | [
0,
1
] | CONTRIBUTION Nature des engagements Scenarios conditionnel et inconditionnel d attenuation bases sur Ia reduction des emissions de GES par rapport a un scenario de base refletant Ia tendance normale des affaires (scenario Business-As-Usual BAU). Champ d application - Ensemble des emissions de gaz a effet de serre (GES) dans les | CONTRIBUTION Nature des engagements Scenarios conditionnel et inconditionnel d attenuation bases sur Ia reduction des emissions de GES par rapport a un scenario de base refletant Ia tendance normale des affaires (scenario Business-As-Usual BAU). Champ d application - Ensemble des emissions de gaz a effet de serre (GES) dans les trois secteurs les plus emetteurs et des sequestrations de carbone sur le territoire national ; - Adaptation pour ! | [
0,
0
] | [
"First NDC"
] | [
"31.6% reduction from 2030 BAU scenario"
] | [
[
null
]
] |
[
1,
0
] | {
"label": "fr-FR",
"score": 0.9999778271
} | [
0,
1
] | TGO | Togo | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | CONTRIBUTIONS DETERMINEES AU NIVEAU NATIONAL (CDN) REVISEES Document intérimaire i CONTRIBUTIONS DETERMINEES AU NIVEAU NATIONAL (CDN) REVISEES DU TOGO Document interimaire ii Sommaire Sigles et Acronymes IV Liste des figures . X Liste des tableaux XI Introduction Chapitre 1 : Contexte national . 3 1.1. Présentation générale 3 1.2. Synthèse | CONTRIBUTIONS DETERMINEES AU NIVEAU NATIONAL (CDN) REVISEES Document intérimaire i CONTRIBUTIONS DETERMINEES AU NIVEAU NATIONAL (CDN) REVISEES DU TOGO Document interimaire ii Sommaire Sigles et Acronymes IV Liste des figures . X Liste des tableaux XI Introduction Chapitre 1 : Contexte national . 3 1.1. Présentation générale 3 1.2. Synthèse de l’évaluation de la mise en œuvre des CDN initiales du Togo 4 Chapitre 2 : Gouvernance 6 2.1. Dispositif institutionnel existant des CDN . 6 2.2. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Support for fodder reforestation with the introduction of fodder trees on farms with a view to sustained production of quality fodder\""
] | [
[
{
"Alpha2": "TG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999196529
} | [
0,
1
] | GNQ | Equatorial Guinea | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | CONTRIBUTIONS PLANNED AND DETERMINED AT NATIONAL LEVEL (NATIONAL CONTRIBUTIONS) (CPDN). Malabo, September of 2015. 1. INTRODUCTION. One of the requirements of the nineteenth Conference of the Parties (CoP-19) of the United Nations Framework Convention on Climate Change (UNFCCC), held in Warsaw, Poland, in 2013, was to invite countries Parties to | CONTRIBUTIONS PLANNED AND DETERMINED AT NATIONAL LEVEL (NATIONAL CONTRIBUTIONS) (CPDN). Malabo, September of 2015. 1. INTRODUCTION. One of the requirements of the nineteenth Conference of the Parties (CoP-19) of the United Nations Framework Convention on Climate Change (UNFCCC), held in Warsaw, Poland, in 2013, was to invite countries Parties to make efforts to initiate and intensify preparations for the elaboration of so-called Nationally Determined and Predicted Contributions (CPDNs or INDCs). | [
0,
1
] | [
"First NDC"
] | [
"Boosting efforts to warn, respond, and protect"
] | [
[
{
"Alpha2": "GQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
}
]
] |
[
4,
2
] | {
"label": "en-US",
"score": 0.9999234676
} | [
0,
6
] | GNQ | Equatorial Guinea | [
4,
2
] | [
[
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
2,
4
] | COUNTRY PROFILE IN THE CONTEXT OF CLIMAE CHANGE. 3.1. Emissions of Carbon Dioxide (CO2). It should be noted that, in the global context, the increase in CO2 emissions accelerated after the year 2000, increasing by 35% between 2000 and 2011, compared to 10% of the increase recorded between 1990 and | COUNTRY PROFILE IN THE CONTEXT OF CLIMAE CHANGE. 3.1. Emissions of Carbon Dioxide (CO2). It should be noted that, in the global context, the increase in CO2 emissions accelerated after the year 2000, increasing by 35% between 2000 and 2011, compared to 10% of the increase recorded between 1990 and 2000. This was mainly due To the rapid increase in emissions in developing regions. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"Increase in renewables for remote areas",
"Increase of hydropower",
"Increasing capacities to absorb and recover from extreme events",
"Increase in renewables for remote areas",
"Increase of hydropower"
] | [
[
{
"Alpha2": "GQ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "GQ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "GQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Coastal Zone",
"SubSector": "Coastal Zone: General"
},
{
"Alpha2": "GQ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
],
[
{
"Alpha2": "GQ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "GQ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999301434
} | [
0,
1
] | BOL | Bolivia (Plurinational State of) | [
0,
1
] | [
[
"{'IkiSheet': 'covid19', 'page_number': 7, 'region': 'Latin America and the Caribbean', 'parameter': 'Y_General', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | COVID-19 and economic recovery At the end of 2019 and in 2020, the country faced a complex situation due to the impacts of a political crisis, which added to the COVID-19 pandemic, caused the national economy to accumulate a drop in Gross Domestic Product (GDP) of 8.33%, a situation that | COVID-19 and economic recovery At the end of 2019 and in 2020, the country faced a complex situation due to the impacts of a political crisis, which added to the COVID-19 pandemic, caused the national economy to accumulate a drop in Gross Domestic Product (GDP) of 8.33%, a situation that had a significant impact on social, economic, productive and employment indicators. Thus, Bolivia was immersed in the double challenge of responding to the pandemic while at the same time carrying out a process of economic recovery. | [
0,
0
] | [
"Second NDC"
] | [
"At the end of 2019 and in 2020, the country faced a complex situation due to the impacts of a political crisis, which added to the COVID-19 pandemic, caused the national economy to accumulate a drop in Gross Domestic Product (GDP) of 8.33%, a situation that had a significant impact on social, economic, productive and employment indicators."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999564886
} | [
0,
1
] | VEN | Venezuela, Bolivarian Republic of | [
0,
1
] | [
[
"{'IkiSheet': 'covid19', 'page_number': 29, 'region': 'Latin America and the Caribbean', 'parameter': 'Y_General', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | COYUNTURA - COVID 19 A la situación nacional generada por la aplicación ilegal de las MCU, se suman los efectos producidos por la crisis sanitaria de la pandemia de la COVID-19, que demandan la adopción inmediata de medidas para la protección del pueblo venezolano. Como ha sido reconocido por la | COYUNTURA - COVID 19 A la situación nacional generada por la aplicación ilegal de las MCU, se suman los efectos producidos por la crisis sanitaria de la pandemia de la COVID-19, que demandan la adopción inmediata de medidas para la protección del pueblo venezolano. Como ha sido reconocido por la CEPAL (Comisión Económica para América Latina y el Caribe) la pandemia visibilizó los problemas estructurales del sistema del modelo económico, y las carencias del sistema de protección social en América Latina y el Caribe. | [
0,
0
] | [
"Revised First NDC"
] | [
"A la situación nacional generada por la aplicación ilegal de las MCU, se suman los efectos producidos por la crisis sanitaria de la pandemia de la COVID-19, que demandan la adopción inmediata de medidas para la protección del pueblo venezolano. Como ha sido reconocido por la CEPAL (Comisión Económica para América Latina y el Caribe) la pandemia visibilizó los problemas estructurales del sistema del modelo económico, y las carencias del sistema de protección social en América Latina y el Caribe."
] | [
[
null
]
] |
[
0,
3
] | {
"label": "en-US",
"score": 0.9999306202
} | [
0,
3
] | MDA | Moldova | [
0,
3
] | [
[
null,
null,
null
]
] | [
"CW"
] | [
3,
0
] | CROSS-SECTORIAL CLIMATE CHANGE ADAPTATION PRIORITIES. Being a complex process, adaptation to climate change requires cross-sectorial perspectives coming from the involvement of a multi-level governance system with strong capacities for both planning and implementing adaptation. In the undertaken sectorial and institutional level capacity assessments of Moldova, it was concluded on several | CROSS-SECTORIAL CLIMATE CHANGE ADAPTATION PRIORITIES. Being a complex process, adaptation to climate change requires cross-sectorial perspectives coming from the involvement of a multi-level governance system with strong capacities for both planning and implementing adaptation. In the undertaken sectorial and institutional level capacity assessments of Moldova, it was concluded on several occasions that the need exists to strengthen the country’s capacities to plan and implement cross-sectorial adaptation. | [
3,
0
] | [
"Revised First NDC"
] | [
"Cross-sectorial priorities: Community-level climate change adaptation:"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Urban: General"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Disaster preparedness"
},
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999325275
} | [
0,
1
] | CPV | Cape Verde | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Cabo Verde Habitat III Report, which seeks to implement the UN Habitat Agenda and the UN New Urban Agenda. Cabo Verde’s contributions in this sector for 2030 are as follows:ADAPTATION CONTRIBUTION #7: USING SPATIAL PLANNING AS AN ALLY IN CLIMATE CHANGE ADAPTATION AND MITIGATION. In view of the territorialisation of | Cabo Verde Habitat III Report, which seeks to implement the UN Habitat Agenda and the UN New Urban Agenda. Cabo Verde’s contributions in this sector for 2030 are as follows:ADAPTATION CONTRIBUTION #7: USING SPATIAL PLANNING AS AN ALLY IN CLIMATE CHANGE ADAPTATION AND MITIGATION. In view of the territorialisation of the NDC, Cabo Verde is committed to integrate climate issues into national and municipal planning. Cabo Verde will draw a new map of Cabo Verde, reflecting new land-uses as derived from new climate policy. | [
1,
0
] | [
"Revised First NDC"
] | [
"Spatial Planning [overall contribution]: “Using spatial planning as an ally in climate change adaptation and mitigation” (p. 41)"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
8,
0
] | {
"label": "en-US",
"score": 0.9999350309
} | [
0,
8
] | CPV | Cape Verde | [
8,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
8
] | Cabo Verde also aims at eliminating three stone cooking stove (35% of households still use three-stone stove) through improved low-emissions cookstoves by 2025 at the latest, and thereby substantially removing demand for firewood. At the level of governance and institutional infrastructure, Cabo Verde seeks to improve overall forestry governance by | Cabo Verde also aims at eliminating three stone cooking stove (35% of households still use three-stone stove) through improved low-emissions cookstoves by 2025 at the latest, and thereby substantially removing demand for firewood. At the level of governance and institutional infrastructure, Cabo Verde seeks to improve overall forestry governance by investing in inventory and land registry systems, designating priority afforestation/reforestation, and preparing long-term sustainable land management plans coupled with performance-based subsidies. Waste. | [
0,
8
] | [
"First NDC",
"INDC"
] | [
"Improve overall forestry governance by investing in inventory and land registry systems, designating priority afforestation/reforestation",
"Institutional and Governance mechanisms",
"Performance-based subsidies",
"Preparing long-term sustainable land management plans coupled with performance-based subsidies",
"Improve overall forestry governance by investing in inventory and land registry systems, designating priority afforestation/reforestation",
"Institutional and Governance mechanisms",
"Performance-based subsidies",
"Preparing long-term sustainable land management plans coupled with performance-based subsidies"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol8",
"QuestionDefinition": "Capacity building needed for a given sectoral upstream policy",
"QuestionText": "Capacity building needs",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"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"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Land Management"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol8",
"QuestionDefinition": "Capacity building needed for a given sectoral upstream policy",
"QuestionText": "Capacity building needs",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"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"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable Land Management"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.999930501
} | [
0,
1
] | CPV | Cape Verde | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | Cabo Verde also boasts a number of coastal wetlands and inland reservoirs. These ecosystems deserve specific attention for their biodiversity and climate adaptation benefits (see below on adaptation) as well as for their climate mitigation (carbon sink) role. So far, no climate-specific policies have been introduced. Cabo Verde’s contributions in | Cabo Verde also boasts a number of coastal wetlands and inland reservoirs. These ecosystems deserve specific attention for their biodiversity and climate adaptation benefits (see below on adaptation) as well as for their climate mitigation (carbon sink) role. So far, no climate-specific policies have been introduced. Cabo Verde’s contributions in this sector for 2030 are as follows:MITIGATION CONTRIBUTION #5: FOSTERING THE NATURAL SINK FUNCTION OF ECOSYSTEMS. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Fostering the natural sink function of ecosystems\""
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
[
0,
8
] | {
"label": "en-US",
"score": 0.9999278784
} | [
0,
8
] | CPV | Cape Verde | [
0,
8
] | [
[
null,
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
8,
0
] | Cabo Verde also intends to pilot integrated, holistic and balanced non-market approaches (Art. 6.8) targeting adaptation benefits for rural communities (access to clean water and healthy soils) as well as interventions under Art. 6.9 linking climate to sustainable development, for instance on sustainable tourism and blue habitats (ecosystem services from | Cabo Verde also intends to pilot integrated, holistic and balanced non-market approaches (Art. 6.8) targeting adaptation benefits for rural communities (access to clean water and healthy soils) as well as interventions under Art. 6.9 linking climate to sustainable development, for instance on sustainable tourism and blue habitats (ecosystem services from coastal wetlands and marine resources). In summary, Cabo Verde shall enhance transparency, governance and support and report information necessary to track progress made in implementing and achieving the NDC. | [
0,
8
] | [
"Revised First NDC"
] | [
"Achieving policy coherence by making agriculture interventions climate-smart"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
},
{
"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": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Social Development",
"SubSector": "Subsidies"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Food security"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999376535
} | [
2,
0
] | CPV | Cape Verde | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | Cabo Verde also undertakes to secure on-grid or off-grid electricity supply across nine islands and to reach 100% access to electricity for all consumers by 2023. To contribute to the target the following policies and measures are planned:. Increase wind energy capacity by installing 10 MW wind farm for Santiago | Cabo Verde also undertakes to secure on-grid or off-grid electricity supply across nine islands and to reach 100% access to electricity for all consumers by 2023. To contribute to the target the following policies and measures are planned:. Increase wind energy capacity by installing 10 MW wind farm for Santiago by 2022 and 60 MW by 2030;. Increase solar photovoltaic energy by installing an additional 150 MW by 2030; the following initial steps are under development:10 MW photovoltaic solar power plant for Santiago (start by 2022) ;. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"Increase wind energy capacity by installing 10 MW wind farm for Santiago by 2022 and 60 MW by 2030\""
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable energy: Wind"
},
{
"Alpha2": "CV",
"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: Wind"
}
]
] |
[
3,
0
] | {
"label": "en-US",
"score": 0.9999006987
} | [
0,
3
] | CPV | Cape Verde | [
2,
1
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
1,
2
] | Cabo Verde initiated an ambitious governance reform process to overcome the deficiencies in the sanitation sector. The 2010 the National Basic Sanitation Plan is currently being updated through the Waste Roadmap for Cabo Verde (Roadmap de Resíduos de Cabo Verde). It also launched the National Strategic Water and Sanitation Plan | Cabo Verde initiated an ambitious governance reform process to overcome the deficiencies in the sanitation sector. The 2010 the National Basic Sanitation Plan is currently being updated through the Waste Roadmap for Cabo Verde (Roadmap de Resíduos de Cabo Verde). It also launched the National Strategic Water and Sanitation Plan (Plano Estratégico Nacional de Água e Saneamento - “PLENAS”) and is currently preparing detailed water and sanitation master plans (Planos Diretores de Água e Saneamento - PDAS) for each of the islands. | [
0,
3
] | [
"First NDC",
"INDC"
] | [
"Waste Roadmap for Cabo Verde",
"National Strategic Water and Sanitation Plan",
"Waste Roadmap for Cabo Verde"
] | [
[
{
"Alpha2": "CV",
"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": "Waste: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_Pol",
"QuestionDefinition": "Sectoral plans and strategies for adaptation.",
"QuestionText": "Sectoral Policies",
"Sector": "Water",
"SubSector": "Water supply"
}
],
[
{
"Alpha2": "CV",
"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": "Waste: General"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999332428
} | [
6,
0
] | CPV | Cape Verde | [
6,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
6
] | Cabo Verde makes an unconditional commitment:. to achieve 100% grid access by 2017;. and to achieve a 30% renewable energy penetration rate into the electric grid by 2025. With international support, Cabo Verde seeks to increase the renewable energy uptake in electricity to 100% by 2025, with best efforts to | Cabo Verde makes an unconditional commitment:. to achieve 100% grid access by 2017;. and to achieve a 30% renewable energy penetration rate into the electric grid by 2025. With international support, Cabo Verde seeks to increase the renewable energy uptake in electricity to 100% by 2025, with best efforts to achieve this goal already by 2020, in accordance with the following indicative trajectory:. 35% RE penetration rate in 2016-2018;. 50% RE penetration rate in 2018-2020;. 100% RE penetration rate in 2020-2025. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"100% grid access by 2017",
"100% renewable energy penetration rate in 2020-2025",
"30% renewable energy by 2025",
"100% grid access by 2017",
"100% renewable energy penetration rate in 2020-2025",
"30% renewable energy by 2025"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999375343
} | [
0,
5
] | CPV | Cape Verde | [
0,
5
] | [
[
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
5,
0
] | Cabo Verde makes an unconditional commitment:to achieve 100% grid access (up from 95%);. to achieve 30% of the installed electric power from renewables sources by 2025.With international support, Cabo Verde seeks to increase the electric power penetration rate from renewable sources to 100% of the installed electric power from renewables | Cabo Verde makes an unconditional commitment:to achieve 100% grid access (up from 95%);. to achieve 30% of the installed electric power from renewables sources by 2025.With international support, Cabo Verde seeks to increase the electric power penetration rate from renewable sources to 100% of the installed electric power from renewables sources by 2025, with best efforts to achieve this goal already by 2020, in accordance with the following indicative trajectory:35% RE penetration rate in 2016-2018;. 50% RE penetration rate in 2018-2020;. 100% RE penetration rate in 2020-2025. | [
0,
5
] | [
"First NDC"
] | [
"Harnessing the power of nature and expand water infrastructure"
] | [
[
{
"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": "Water",
"SubSector": "Wastewater treatment"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water conservation and reuse"
},
{
"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 supply"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999257326
} | [
6,
0
] | CPV | Cape Verde | [
6,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
6
] | Cabo Verde makes an unconditional long-term commitment to engage in new afforestation/reforestation (“A/R”) campaigns in the order of 10,000 hectares until 2030 by 2030; With international support, Cabo Verde seeks an A/R campaign area of around 20,000 hectares until 2030; Cabo Verde estimates a planting effort of 400 trees per | Cabo Verde makes an unconditional long-term commitment to engage in new afforestation/reforestation (“A/R”) campaigns in the order of 10,000 hectares until 2030 by 2030; With international support, Cabo Verde seeks an A/R campaign area of around 20,000 hectares until 2030; Cabo Verde estimates a planting effort of 400 trees per hectare. If 20,000 hectares are successfully planted, this will generate a long-term sequestration gain of 360 tCO2eq per hectare sequestered after 30 years, corresponding to 7.2 mtCO2eq for 20,000 hectares after 30 years. | [
0,
6
] | [
"First NDC",
"INDC"
] | [
"10,000 hectares by 2030",
"Additional 10,000 hectares by 2030",
"Afforestation/Reforestation 20,000 hectares by 2030",
"10,000 hectares by 2030",
"Additional 10,000 hectares by 2030",
"Afforestation/Reforestation 20,000 hectares by 2030"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"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": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999321699
} | [
0,
2
] | CPV | Cape Verde | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | Cabo Verde needs state-of-the-art emergency plans to manage shocks and crisis ranging from weather events to new pandemics, cyber-attacks, infrastructure collapse, and supply chain interruptions. Finally, Cabo Verde needs inclusive and gender-sensitive strategies to enhance the adaptative capacity of all of its communities and economic sectors, including food production and | Cabo Verde needs state-of-the-art emergency plans to manage shocks and crisis ranging from weather events to new pandemics, cyber-attacks, infrastructure collapse, and supply chain interruptions. Finally, Cabo Verde needs inclusive and gender-sensitive strategies to enhance the adaptative capacity of all of its communities and economic sectors, including food production and tourism. Building resilience is not a one-off challenge but requires continuous efforts on planning, screening risks and performance, developing response measures, and working together across communities and institutions. Greenhouse gas emissions projections5. | [
0,
2
] | [
"Revised First NDC"
] | [
"Undertaking inclusive and climate-informed planning for new and existing infrastructure"
] | [
[
{
"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": "Social Development",
"SubSector": "Safety net"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.999935627
} | [
4,
0
] | CPV | Cape Verde | [
4,
0
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | Cabo Verde undertakes to electrify at least 25% of its land-borne transport fleet (new vehicles) by 2030 by resorting to RE sources. Conditional on adequate international support, the shares per vehicle category could increase to 50% in favor of public, collective high-passenger load vehicles. Cabo Verde will also undertake measures | Cabo Verde undertakes to electrify at least 25% of its land-borne transport fleet (new vehicles) by 2030 by resorting to RE sources. Conditional on adequate international support, the shares per vehicle category could increase to 50% in favor of public, collective high-passenger load vehicles. Cabo Verde will also undertake measures to advance carbon-free active mobility and sustainable maritime transport. To contribute to the target the following measures are planned:. | [
0,
4
] | [
"Revised First NDC"
] | [
"\"Cabo Verde undertakes to electrify at least 25% of its land-borne transport fleet (new vehicles) by 2030 by resorting to RE sources. Conditional on adequate international support, the shares per vehicle category could increase to 50% in favor of public, collective high-passenger load vehicles.",
"\"Cabo Verde will also undertake measures to advance carbon-free active mobility and sustainable maritime transport.\""
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
},
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Vehicle Fleet"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Transport",
"SubSector": "Maritime"
},
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Transport",
"SubSector": "Maritime"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.999938488
} | [
0,
1
] | CPV | Cape Verde | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Cabo Verde undertakes to implement its National Strategy for Disaster Risk Reduction by 2030, in conjunction with its new climate map (see above), and adopt and implement resilience and disaster management plans by cities and municipalities. To contribute to the target the country will adopt the following measures:. Assist the | Cabo Verde undertakes to implement its National Strategy for Disaster Risk Reduction by 2030, in conjunction with its new climate map (see above), and adopt and implement resilience and disaster management plans by cities and municipalities. To contribute to the target the country will adopt the following measures:. Assist the National Service for Civil Protection and Fire Brigades (SNPCB) with technical and financial assistance for the implementation of the ENRRD;. | [
1,
0
] | [
"Revised First NDC"
] | [
"Disaster Risk Reduction [associated measure]: “Assist the National Service for Civil Protection and Fire Brigades (SNPCB) with technical and financial assistance for the implementation of the ENRRD"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999352694
} | [
0,
6
] | CPV | Cape Verde | [
0,
6
] | [
[
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
6,
0
] | Cabo Verde undertakes to minimise technical and commercial water losses and to mobilise water supply using renewable energy to secure a sustainable and resilient water management system by 2030. To achieve this target the following measures are planned:. From 2021, outline and keep up to date an implementation plan for | Cabo Verde undertakes to minimise technical and commercial water losses and to mobilise water supply using renewable energy to secure a sustainable and resilient water management system by 2030. To achieve this target the following measures are planned:. From 2021, outline and keep up to date an implementation plan for the PLENAS and the ESGAS targets to ensure the availability and sustainable management of drinking water and sanitation for all;. | [
0,
6
] | [
"Revised First NDC"
] | [
"Coping with water scarcity by using more water more productively"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_Subsector_2",
"QuestionDefinition": "GCA_Subsector_2",
"QuestionText": "Adapt Now subsector (2)",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"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": "Water",
"SubSector": "Water efficiency"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water conservation and reuse"
},
{
"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": "Wastewater treatment"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999372959
} | [
0,
2
] | CPV | Cape Verde | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | Cabo Verde undertakes to provide sewage systems to all households and provides safe wastewater treatment, increasing the use of renewable energy and the recovery of nutrients and energy from wastewater, by 2030. To achieve this target the following measures are planned:. By 2030, set up sustainable, data-supported, institutional and technical | Cabo Verde undertakes to provide sewage systems to all households and provides safe wastewater treatment, increasing the use of renewable energy and the recovery of nutrients and energy from wastewater, by 2030. To achieve this target the following measures are planned:. By 2030, set up sustainable, data-supported, institutional and technical waste management systems based on the principle of reducing the waste and sewage quantities at source before managing them (legislation on single use plastics, building waste, packaging, segregation, recycling, treatment) serving all Cabo Verde municipalities;. | [
2,
0
] | [
"Revised First NDC"
] | [
"Water 2 [associated measure]: “By 2030, set up sustainable, data-supported, institutional and technical waste management systems based on the principle of reducing the waste and sewage quantities at source before managing them (legislation on single use plastics, building waste, packaging, segregation, recycling, treatment) serving all Cabo Verde municipalities"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Wastewater treatment"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999361038
} | [
4,
0
] | CPV | Cape Verde | [
4,
0
] | [
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
4
] | Cabo Verde undertakes to strengthen sustainable tourism as a factor for local empowerment and economic development, ensuring climate resilience and diversification and increasing decent employment. International and national efforts combined seek to reduce overall GHG emissions from tourism by 20% per visitor/day by 2030. Cabo Verde undertakes to develop a | Cabo Verde undertakes to strengthen sustainable tourism as a factor for local empowerment and economic development, ensuring climate resilience and diversification and increasing decent employment. International and national efforts combined seek to reduce overall GHG emissions from tourism by 20% per visitor/day by 2030. Cabo Verde undertakes to develop a roadmap for the phased transition to a circular economy for the years 2022 to 2040, by industry and municipality. The circular economy aims to contribute to climate protection and adaptation to climate change. | [
0,
4
] | [
"Revised First NDC"
] | [
"\"Cabo Verde undertakes to develop a roadmap for the phased transition to a circular economy for the years 2022 to 2040, by industry and municipality. The circular economy aims to contribute to climate protection and adaptation to climate change.\"",
"\"Cabo Verde undertakes to strengthen sustainable tourism as a factor for local empowerment and economic development, ensuring climate resilience and diversification and increasing decent employment. International and national efforts combined seek to reduce overall GHG emissions from tourism by 20% per visitor/day by 2030"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "CV",
"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": "Economy-wide",
"SubSector": "Economy-wide: General"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Tourism"
},
{
"Alpha2": "CV",
"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: Tourism"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999935627
} | [
0,
16
] | CPV | Cabo Verde | [
16,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 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': 'Avoid, Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Data & modelling improvements', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_DataModelling', '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': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Innovation and up-scaling', '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 shipping improvement', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Shipping', 'mode_private_cars': nan, 'category': 'Shipping improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Innovation and up-scaling', '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': 'Ship efficiency improvements', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Shipefficiency', 'mode_private_cars': nan, 'category': 'Shipping improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': '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': 'Avoid', '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': 'Middle-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': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': 'x', 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Walking 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': 'Africa', 'parameter': 'S_Walking', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Cycling measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'S_Cycling', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, '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': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid, Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General land use', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'A_Landuse', 'mode_private_cars': nan, 'category': 'Land use', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': 'x', 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'General shared 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': 'Africa', 'parameter': 'S_Sharedmob', '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': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'Car access restriction zones', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'A_Caraccess', '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': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 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': 'Walking 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': 'Africa', 'parameter': 'S_Walking', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Cycling measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'S_Cycling', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General innovations and digitalization', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Other', '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': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, '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': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Development density or intensiveness', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'A_Density', 'mode_private_cars': nan, 'category': 'Land use', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': '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': 'Avoid', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Mixed use', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'A_Mixuse', 'mode_private_cars': nan, 'category': 'Land use', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': 'x', 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid, Shift', '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': 'Africa', 'parameter': 'A_Commute', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': 'x'}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 26, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 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': 'Teleworking', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'A_Teleworking', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
16
] | Cabo Verde will also undertake measures to advance carbon-free active mobility and sustainable maritime transport. To contribute to the target the following measures are planned: • Reduce the necessity of high-carbon mobility through urban planning and digitilisation (car-free areas, cycling and pedestrian lanes, functional mix and spatial density to bring | Cabo Verde will also undertake measures to advance carbon-free active mobility and sustainable maritime transport. To contribute to the target the following measures are planned: • Reduce the necessity of high-carbon mobility through urban planning and digitilisation (car-free areas, cycling and pedestrian lanes, functional mix and spatial density to bring living and working closer together, incentives for home-office, apps for car-sharing and taxi hailing …); • Create secured and attractive home-work urban cycling and walking networks with bicycle repair and equipment businesses in Praia and Mindelo, to promote low carbon mobility, convivial cities and local youth employment; • By 2023, quantify the national GHG reductions possible by swifting to lower carbon international maritime transport (i.e.sails or solar vessels, engine efficiency improvement, lower carbon fuels, optimise logistics and operating processes or avoidance strategies etc.) | [
0,
0
] | [
"Revised First NDC"
] | [
"By 2023, quantify the national GHG reductions possible by swifting to lower carbon international \nmaritime transport (i.e.sails or solar vessels, engine efficiency improvement, lower carbon fuels, optimise \nlogistics and operating processes or avoidance strategies etc.)",
"Create secured and attractive home-work urban cycling and walking networks with bicycle repair and equipment businesses in Praia and Mindelo, to promote low carbon mobility, convivial cities and local youth employment;",
"Reduce the necessity of high-carbon mobility through urban planning",
"apps for car-sharing and taxi hailing",
"car-free areas",
"cycling and pedestrian lanes",
"digitilisation",
"functional mix and spatial density to bring living and working closer together",
"home-work urban cycling and walking networks",
"incentives for home-office"
] | [
[
null,
null,
null,
null
],
[
null,
null
],
[
null
],
[
null
],
[
null
],
[
null,
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999931097
} | [
2,
0
] | CPV | Cabo Verde | [
0,
2
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 26, 'renewable_energy_target': 'T_REN', 'transport_target_type': 'T_O_ZERO', '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': 'Africa', 'parameter': 'T_Transport_O_Unc', 'ice_phaseout': 2035, 'country_long-term_target_exists': 'x', 'ghg_total': 1.02322866982, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.509395214}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 26, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_MODE', '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': 'Africa', 'parameter': 'T_Transport_O_C', 'ice_phaseout': 2035, 'country_long-term_target_exists': 'x', 'ghg_total': 1.02322866982, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.509395214}"
]
] | [
"IKITracs"
] | [
0,
2
] | Cabo Verde’s contributions in this sector for 2030 are as follows: MITIGATION CONTRIBUTION #3: LOWERING THE CARBON INTENSITY OF MOBILITY Cabo Verde undertakes to electrify at least 25% of its land-borne transport fleet (new vehicles) by 2030 by resorting to RE sources. Conditional on adequate international support, the shares per | Cabo Verde’s contributions in this sector for 2030 are as follows: MITIGATION CONTRIBUTION #3: LOWERING THE CARBON INTENSITY OF MOBILITY Cabo Verde undertakes to electrify at least 25% of its land-borne transport fleet (new vehicles) by 2030 by resorting to RE sources. Conditional on adequate international support, the shares per vehicle category could increase to 50% in favor of public, collective high-passenger load vehicles. Cabo Verde will also undertake measures to advance carbon-free active mobility and sustainable maritime transport. | [
0,
0
] | [
"Revised First NDC"
] | [
"electrify at least 25% of its land-borne transport fleet (new vehicles) by 2030 by resorting to RE sources",
"shares per vehicle category could increase to 50% in favor of public, collective high-passenger load vehicles"
] | [
[
null
],
[
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.999935627
} | [
0,
1
] | CPV | Cape Verde | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | Cabo Verde’s contributions in this sector for 2030 are as follows:ADAPTATION CONTRIBUTION #9: CONFRONTING CLIMATE RELATED HEALTH RISKS. Cabo Verde undertakes to adopt a national plan for health and climate change and build climate change considerations into its national One Health Strategy and to combat health risks and respond to | Cabo Verde’s contributions in this sector for 2030 are as follows:ADAPTATION CONTRIBUTION #9: CONFRONTING CLIMATE RELATED HEALTH RISKS. Cabo Verde undertakes to adopt a national plan for health and climate change and build climate change considerations into its national One Health Strategy and to combat health risks and respond to future epidemics by 2025 at the latest. To contribute to this target, the following measures are planned:. | [
1,
0
] | [
"Revised First NDC"
] | [
"Health [overall contribution]: “Confronting climate related health risks” (p. 44)"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Health",
"SubSector": "Health: General"
}
]
] |
[
0,
6
] | {
"label": "en-US",
"score": 0.9999361038
} | [
6,
0
] | CPV | Cape Verde | [
6,
0
] | [
[
null,
null
],
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
6
] | Cabo Verde’s contributions in this sector for 2030 are as follows:MITIGATION CONTRIBUTION #1: REDUCING ENERGY INTENSITY AND FOSTERING ENERGY EFFICIENCY. Cabo Verde undertakes to reduce energy demand by 7% below BAU projections through change in the energy mix and energy efficiency improvements. With adequate support, the reduction commitment can be | Cabo Verde’s contributions in this sector for 2030 are as follows:MITIGATION CONTRIBUTION #1: REDUCING ENERGY INTENSITY AND FOSTERING ENERGY EFFICIENCY. Cabo Verde undertakes to reduce energy demand by 7% below BAU projections through change in the energy mix and energy efficiency improvements. With adequate support, the reduction commitment can be increased to 15% below BAU projections. To contribute to the target the following measures are planned:. Diminish overall electricity consumption by 7% in 2030 compared to the BAU scenario; with adequate support, this reduction target could be increased to 15%;. | [
0,
6
] | [
"Revised First NDC"
] | [
"\"Cabo Verde undertakes to reduce energy demand by 7% below BAU projections through change in the energy mix and energy efficiency improvements. With adequate support, the reduction commitment can be increased to 15% below BAU projections.\"",
"\"Diminish overall electricity consumption by 7% in 2030 compared to the BAU scenario",
"with adequate support, this reduction target could be increased to 15%\""
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
},
{
"Alpha2": "CV",
"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"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency"
},
{
"Alpha2": "CV",
"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"
}
],
[
{
"Alpha2": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency"
},
{
"Alpha2": "CV",
"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"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.999928236
} | [
2,
0
] | CPV | Cape Verde | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | Cabo Verde’s contributions in this sector for 2030 are as follows:MITIGATION CONTRIBUTION #5: FOSTERING THE NATURAL SINK FUNCTION OF ECOSYSTEMS. Cabo Verde undertakes to increase, through reforestation and afforestation, forest areas by 2030 with resilient and preferably endemic and native species, to protect wetlands and to reduce/replace fuelwood. Cabo Verde | Cabo Verde’s contributions in this sector for 2030 are as follows:MITIGATION CONTRIBUTION #5: FOSTERING THE NATURAL SINK FUNCTION OF ECOSYSTEMS. Cabo Verde undertakes to increase, through reforestation and afforestation, forest areas by 2030 with resilient and preferably endemic and native species, to protect wetlands and to reduce/replace fuelwood. Cabo Verde undertakes also to prevent forest fires, which threaten liveihoods and ecosystems release large quantities of GHG. To contribute to the target the following measures are planned:. By 2030, commit to afforestation of 7 000 hectares with diverse, resilient, adapted species;. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"Cabo Verde undertakes to increase, through reforestation and afforestation, forest areas by 2030 with resilient and preferably endemic and native species, to protect wetlands and to reduce/replace fuelwood. Cabo Verde undertakes also to prevent forest fires, which threaten liveihoods and ecosystems release large quantities of GHG.\""
] | [
[
{
"Alpha2": "CV",
"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": "CV",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
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