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2018 - 2019 City-wide Emissions Reduction Targets
| Row number | Year Reported to CDP | Account Number | Organization | City | Country | CDP region | Reporting authority | Access | City boundary | Type of target | Sector | Identify and explain sources that differ from the inventory | Target boundary relative to city boundary | Base year | Year of target implementation | Base year emissions (metric tonnes CO2e) | Percentage reduction target | Target year | Target year absolute emissions (metric tonnes CO2e) | Projected population in target year | Intensity unit (emissions per) | Base year emissions per intensity unit (metric tonnes CO2e per denominator) | Estimated business as usual absolute emissions in target year (metric tonnes CO2e) | Percentage of target achieved so far | Indicate which sector(s) the target applies | Description of the target and the modelling methodology(ies) and parameters used to define it | Does this target align with the global 1.5 - 2°C pathway set out in the Paris agreement? | Does this target align to a requirement from a higher level of (sub-national) government? | Target description | Population | Population year | City Location | Last update |
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| 1001 | 2018 | 68385 | Municipio de Chorrera | Chorrera | Panama | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-79.7736, 8.88289]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1002 | 2018 | 832838 | Town of Wellfleet | Wellfleet | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-70.031, 41.9305]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1003 | 2019 | 31182 | City of San Francisco | San Francisco | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2018 | 2050 | 1200589 | 36 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Wastewater, AFOLU, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Net-zero citywide emissions by 2050. | 884363 | 2017 | {"type"=>"Point", "coordinates"=>[-122.419, 37.7749]} | 2020-05-01T04:02:41.860 | ||||||||||
| 1004 | 2019 | 35872 | Municipality of Recife | Recife | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | 2012 | 2016 | 3120425 | 19.62 | 2040 | 8272718 | 1637834 | 2018 | {"type"=>"Point", "coordinates"=>[-34.8829, -8.05783]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 1005 | 2019 | 31176 | Prefeitura do Rio de Janeiro | Rio de Janeiro | Brazil | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2011 | 11402180 | 20 | 2020 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: All sectors, Other: Processos industriais, resíduos, AFOLU, Public facility, Residential buildings, Transport, Water | No | No | Target established in the municipal law that created the "Municipal Climate Change and Sustainable Development Policy" (5428/2011), before Brazil's NDC was stablished. The City is currently updating its goals to allign with the 1.5ºC trajectory, therefore will be more ambitious than the country's NDC. | 6520266 | 2017 | {"type"=>"Point", "coordinates"=>[-43.5614, -22.9054]} | 2020-05-01T04:02:41.860 | ||||||||
| 1006 | 2018 | 60393 | Municipalidad de Santiago | Santiago | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-70.6693, -33.4489]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1007 | 2019 | 840371 | Falkoping Kommun | Falköping | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2011 | 329876 | 40 | 2020 | 197926 | 66 | Other: all sectors | Do not know | Yes | Emissions of greenhouse gases from Falköping municipalitys area by 2020 should be 40 percent lower than the 1990 emissions | 33155 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 1008 | 2019 | 60274 | Prefeitura de Cruzeiro do Sul | Cruzeiro do Sul | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-72.6761, -7.62799]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 1009 | 2018 | 58513 | City of Medford | Medford | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2015 | 465879 | 100 | 2050 | This is a regional commitment to carbon neutrality by 2050. | 57797 | 2017 | {"type"=>"Point", "coordinates"=>[-122.876, 42.3265]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1010 | 2019 | 69822 | Kristianstad | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2018 | 619057 | 60 | 2030 | 247623 | 58 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | "Percentage of target achieved so far"-number relates to year 2016 | 84908 | 2018 | 2020-05-01T04:02:41.860 | ||||||||
| 1011 | 2018 | 74401 | City of Encinitas, CA | Encinitas | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Other: Natural Gas | 2012 | 62027 | 6 | 2020 | 63131 | 2016 | {"type"=>"Point", "coordinates"=>[-117.293, 33.0454]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1012 | 2018 | 14874 | City of Portland, OR | Portland, OR | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 8989869 | 80 | 2050 | Can't read the information entered in these fields. | 639863 | 2016 | {"type"=>"Point", "coordinates"=>[-122.682, 45.52]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1013 | 2018 | 54575 | Vhembe District Municipality | Vhembe | South Africa | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[29.974, -22.7695]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1014 | 2018 | 43937 | Wellington City Council | Wellington | New Zealand | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2001 | 1105654 | 40 | 2030 | 209102 | 2017 | {"type"=>"Point", "coordinates"=>[174.776, -41.2865]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1015 | 2019 | 840309 | Markaryds Kommun | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | Stationary energy | Same – covers entire city and nothing else | Commercial buildings, Residential buildings, Transport | 10260 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||||
| 1016 | 2019 | 833379 | Bani-Suhaila Municipality | State of Palestine | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | 42000 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1017 | 2018 | 59669 | City of North Vancouver | North Vancouver | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 224212 | 50 | 2050 | Includes: solid waste, public transportation; private transportation; industrial buildings; residential buildings Data availability and reliability limit our ability to track percentage of target achieved so far. | 52898 | 2016 | {"type"=>"Point", "coordinates"=>[-123.072, 49.32]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1018 | 2019 | 54637 | Alcaldía de Cuenca | Cuenca | Ecuador | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Transport | Same – covers entire city and nothing else | 2017 | 2020 | 829851 | 20 | 2023 | 160000 | 0 | Transport | Do not know | Yes | Implementación y mantenimiento de ciclovías, Sensibilización sobre el uso del transporte privado, Buenas prácticas para mejorar el servicio en el transporte público | 505585 | 2010 | {"type"=>"Point", "coordinates"=>[-79.0048, -2.90841]} | 2020-05-01T04:02:41.860 | ||||||
| 1019 | 2019 | 31180 | Región Metropolitana de Santiago | Santiago | Chile | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | No target | 7915199 | 2019 | {"type"=>"Point", "coordinates"=>[-70.6693, -33.4489]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1020 | 2018 | 35877 | City of Pittsburgh | Pittsburgh | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Stationary energy (buildings) | 2003 | 50 | 2030 | 305704 | 2016 | {"type"=>"Point", "coordinates"=>[-79.9959, 40.4406]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 1021 | 2019 | 58511 | City of Richmond, CA | Richmond, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 1990 | 2008 | 589412 | 40 | 2030 | 353647 | Yes | 110146 | 2018 | {"type"=>"Point", "coordinates"=>[-122.348, 37.9358]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 1022 | 2019 | 834289 | Municipality of Rauch | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2019 | 54279.02 | 18 | 2030 | 72974.52 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e . De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Rauch donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Como se mostró en el punto 3.2.1.6, este nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Rauch se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local. Factor de ajuste= (variación población 2014-2030 Rauch)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 8,93% en el municipio. Por lo tanto el factor de ajuste resulta de 0,56. Así, el aumento de emisiones proyectado para Rauch será del 34,44%.Aumento de emisiones en Rauch 2014-2030 (%)= 60,87%*0,56= 34,44%Tomando de base el inventario BÁSICO de Rauch del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 72.974,52 tCO2e.Emisiones Rauch al 2030(tCO2e )= 54.279,02 tCO2e*1,3444= 72.974,52 tCO2eTomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Rauch se compromete a reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Rauch no emitirá más de 59.839,11 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Rauch y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 15520 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 1023 | 2019 | 50673 | Município de Faro | Faro | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 60974 | 2018 | {"type"=>"Point", "coordinates"=>[-7.93044, 37.0194]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1024 | 2018 | 50578 | City of Windsor | Windsor | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Intensity target | Other: Total | 2014 | 40 | 2041 | Metric tonnes of CO2e per capita | 9 | Reduce GHG emissions by 40 per cent by 2041 from 8.8t CO2e per capita in 2014. | 217188 | 2016 | {"type"=>"Point", "coordinates"=>[-83.0364, 42.3149]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1025 | 2018 | 59151 | City of Akureyri | Akureyri | Iceland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-18.1262, 65.6885]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1026 | 2019 | 834370 | Town of Secaucus, NJ | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 18000 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1027 | 2019 | 36504 | Comune di Rimini | Rimini | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 150590 | 2018 | {"type"=>"Point", "coordinates"=>[12.5695, 44.0678]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1028 | 2018 | 59633 | City of Santa Cruz, CA | Santa Cruz, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 427280 | 80 | 2050 | Reduce community-wide greenhouse gas emissions 30% by 2020 and 80% by 2050 (compared to 1990 levels). | 64465 | 2016 | {"type"=>"Point", "coordinates"=>[-122.031, 36.9741]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1029 | 2019 | 14344 | City of Park City, UT | Park City | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | Other: All emissions included in municipal operations inventory | Only includes municipal operations per Section 7 | Smaller – covers only part of the city | 2016 | 2022 | 9775 | 8 | Other: Municipal Vehicle Fleet, Public Transportation, Streetlight & Traffic Signals, Public facility, Water | Yes - 1.5 °C | Park City's municipal operations will be carbon neutral by 2022. All electricity used by the municipal government will be renewable by 2022. At that time, the amount of carbon released by municipal operations must be less than or equal to the amount of carbon sequestered on land owned, or under easement, by the City.This goal is more ambitious than the United States' NDC. | 8376 | 2016 | {"type"=>"Point", "coordinates"=>[-111.498, 40.6461]} | 2020-05-01T04:02:41.860 | |||||||||
| 1030 | 2019 | 73684 | Carlos Tejedor | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1031 | 2019 | 43911 | City of Ottawa | Ottawa | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2012 | 2016 | 6907000 | 80 | 2050 | 1219000 | 14 | 979173 | 2017 | {"type"=>"Point", "coordinates"=>[-75.6972, 45.4215]} | 2020-05-01T04:02:41.860 | ||||||||||
| 1032 | 2019 | 58671 | Helsingør Kommune / Elsinore Municipality | Helsingør | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2008 | 2009 | 415408 | 75 | 2030 | 103852 | 39 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Trade and service, contruction, agriculture and horticulture, waste and wast water, Public facility, Residential buildings, Transport, Water | Other: Yes | No | City target: Maximum 1.7 ton CO2eq per citizen by 2030. That is a percentage reduction target of around 75% compared to 2008. | 62567 | 2019 | {"type"=>"Point", "coordinates"=>[12.5921, 56.0308]} | 2020-05-01T04:02:41.860 | ||||||
| 1033 | 2018 | 69995 | Kemi | Kemi | Finland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | {"type"=>"Point", "coordinates"=>[24.5637, 65.7364]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1034 | 2019 | 35885 | Tel Aviv-Yafo Municipality | Tel Aviv-Yafo | Israel | Middle East | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 443930 | 2017 | {"type"=>"Point", "coordinates"=>[34.7823, 32.0816]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1035 | 2018 | 55371 | Municipalidad de Vicente López | Vicente López | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-68.833, -32.8941]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1036 | 2018 | 46514 | City of Porto | Porto | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2004 | 1304 | 45 | 2020 | 58 | Sustainable Energy Action Plan reduction target. Reductions from action at a local level (demand management) and national level (supply management). | 237591 | 2011 | {"type"=>"Point", "coordinates"=>[-8.6291, 41.1579]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1037 | 2019 | 35393 | City of St Louis | St Louis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2017 | 8081418 | 80 | 2050 | 1616283 | 19 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | 302838 | 2018 | {"type"=>"Point", "coordinates"=>[-90.1994, 38.627]} | 2020-05-01T04:02:41.860 | |||||||
| 1038 | 2019 | 826236 | Prefeitura de Tremembé | Tremembé | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 40984 | 2015 | {"type"=>"Point", "coordinates"=>[-45.548, -22.9576]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1039 | 2019 | 840936 | Prefeitura de Guanhães | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1040 | 2019 | 46470 | Ayuntamiento de Vitoria-Gasteiz | Vitoria-Gasteiz | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Larger – covers the whole city and adjoining areas | 2006 | 2010 | 269927 | 10.6 | 2020 | 241354 | 100 | Residential buildings | Do not know | Do not know | 251604 | 2018 | {"type"=>"Point", "coordinates"=>[-2.67, 42.84]} | 2020-05-01T04:02:41.860 | |||||||
| 1041 | 2019 | 54620 | Gobierno Municipal de la Ciudad de Paraná | la Ciudad de Paraná | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Eergía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2019 | 793211.8 | 18 | 2030 | 1015150.13 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e . De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Paraná donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Paraná se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local.Factor de ajuste= (variación población 2014-2030 Paraná)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 7,26% en el municipio (considerando la variación intercensal entre los censos poblacionales del 2001 y 2010). Por lo tanto factor de ajuste resulta de 0,4597. Así, el aumento de emisiones proyectado para Paraná será del 27,98%.Aumento de emisiones en Paraná 2014-2030 (%)= 60,87%*0,4597= 27,98%Tomando de base el inventario BÁSICO de Paraná del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 1.015.150,13 tCO2e.Emisiones Paraná al 2030= 793.211,8 tCO2e*1,2798=1.015.150,13 tCO2eTomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Paraná se compromete a reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Paraná no emitirá más de 832.423,11 tCO2e | Do not know | No | Se espera que la reducción de emisiones propuesta por Paraná y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 247863 | 2010 | 2020-05-01T04:02:41.860 | ||||||
| 1042 | 2019 | 54048 | City of Knoxville | Knoxville | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 4201700 | 20 | 2020 | 3361360 | 11 | Commercial buildings, Industrial facilities, Residential buildings, Transport, Water | Yes - 2 °C | The City of Knoxville has an adopted target of 20% emissions reduction by 2020 for both the municipal operations and the community. This projects to a 1.33% average reduction per year and keeps us in pace with matching the national commitment for reduction. Mayor Rogero has championed longer range goals including a 50% reduction by 2030 for municipal operations and an 80% by 2050 goal for the Knoxville community. The latter two goals are set to be reviewed and voted on for adoption by City Council this summer as we are set to meet and exceed our 2020 target for municipal operations as of late summer 2019 through investments in building efficiency and LED streetlights. | 186239 | 2016 | {"type"=>"Point", "coordinates"=>[-83.9207, 35.9606]} | 2020-05-01T04:02:41.860 | ||||||||
| 1043 | 2018 | 54692 | Prefeitura Municipal de Sertãozinho | Sertãozinho | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-47.9947, -21.1451]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1044 | 2019 | 42388 | Intendencia de Montevideo | Montevideo | Uruguay | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Province / County | No target | 1380432 | 2016 | {"type"=>"Point", "coordinates"=>[-58.2987, -34.7112]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1045 | 2019 | 73750 | Tarakan City | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 253026 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1046 | 2018 | 69973 | Alcaldia de Barrancabermeja | Barrancabermeja | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-73.8724, 7.06066]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1047 | 2019 | 35897 | Municipality of Campinas | Campinas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2016 | 2020 | 179710.63 | 3.6 | 2020 | 173241.05 | 0 | Other: Disposição e tratamento de efluentes domésticos. | Yes - 2 °C | No | A meta da cidade é menos ambiciosa (em valor absoluto) do que a NDC nacional devido ao fato de que a cidade de Campinas se configura como uma área urbana já consolidada onde o range de redução das emissões de GEE é notadamente mais restrito que o nacional. | 1194094 | 2018 | {"type"=>"Point", "coordinates"=>[-46.9372, -22.744]} | 2020-05-01T04:02:41.860 | ||||||
| 1048 | 2019 | 58511 | City of Richmond, CA | Richmond, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2008 | 693426 | 15 | 2020 | 589412 | Yes | 110146 | 2018 | {"type"=>"Point", "coordinates"=>[-122.348, 37.9358]} | 2020-05-01T04:02:41.860 | ||||||||||
| 1049 | 2019 | 54611 | Alcaldia de Manizales | Manizales | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Other: Municipio | No target | 400136 | 2019 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1050 | 2019 | 54510 | Umeå municipality | Umeå | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 1990 | 2016 | 390887 | 100 | 2045 | 0 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | 127119 | 2018 | {"type"=>"Point", "coordinates"=>[20.263, 63.8258]} | 2020-05-01T04:02:41.860 |
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Description
This data was collected in partnership by CDP and ICLEI - Local Governments for Sustainability.
The dataset contains all city-wide emissions reduction targets publicly disclosed in 2018 and 2019.
Please note that the 2018 data on city-wide emissions reduction targets is still in the process of being updated. If you have any questions, please contact cities@cdp.net.
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