Urban CO2 Emissions : A Global Analysis with New Satellite Data

This paper estimates an urban carbon dioxide emissions model using satellite-measured carbon dioxide concentrations from 2014 to 2020, for 1,236 cities in 138 countries. The model incorporates the global trend in carbon dioxide concentration, seaso...

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Main Authors:	Dasgupta, Susmita, Lall, Somik, Wheeler, David
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2021
Subjects:	GREENHOUSE GAS EMISSIONS CARBON DIOXIDE EMISSIONS SATELLITE DATE ENVIRONMENT KUZNETS CURVE CITY CARBON PERFORMANCE URBAN POLLUTION SUBWAY
Online Access:	http://documents.worldbank.org/curated/undefined/521581636558249596/Urban-CO2-Emissions-A-Global-Analysis-with-New-Satellite-Data http://hdl.handle.net/10986/36557

id	okr-10986-36557
recordtype	oai_dc
spelling	okr-10986-365572021-11-13T05:10:44Z Urban CO2 Emissions : A Global Analysis with New Satellite Data Dasgupta, Susmita Lall, Somik Wheeler, David GREENHOUSE GAS EMISSIONS CARBON DIOXIDE EMISSIONS SATELLITE DATE ENVIRONMENT KUZNETS CURVE CITY CARBON PERFORMANCE URBAN POLLUTION SUBWAY This paper estimates an urban carbon dioxide emissions model using satellite-measured carbon dioxide concentrations from 2014 to 2020, for 1,236 cities in 138 countries. The model incorporates the global trend in carbon dioxide concentration, seasonal fluctuations by hemisphere, and a large set of georeferenced variables that incorporate carbon dioxide–intensive industry structure, emissions from agricultural and forest fires in neighboring areas, demography, the component of income that is uncorrelated with industry structure, and relevant geographic conditions. The income results provide the first test of an Environmental Kuznets Curve relationship for carbon dioxide based on actual observations. They suggest an environmental Kuznets curve that reaches a peak near or above $40,000 per capita, which is at the 90th percentile internationally. The research also finds that economic development has a significant effect on the direction of the relationship between population density and carbon dioxide emissions. The relationship is positive at very low incomes but becomes negative at higher incomes. The paper also uses cities’ mean regression residuals to index their carbon dioxide emissions performance within and across regions, decomposes model carbon dioxide predictions into broad source categories for each city, and uses the regression residuals to explore the impact of subway systems. The findings show significantly lower carbon dioxide emissions for subway cities. 2021-11-12T20:25:06Z 2021-11-12T20:25:06Z 2021-11 Working Paper http://documents.worldbank.org/curated/undefined/521581636558249596/Urban-CO2-Emissions-A-Global-Analysis-with-New-Satellite-Data http://hdl.handle.net/10986/36557 English Policy Research Working Paper;No. 9845 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	GREENHOUSE GAS EMISSIONS CARBON DIOXIDE EMISSIONS SATELLITE DATE ENVIRONMENT KUZNETS CURVE CITY CARBON PERFORMANCE URBAN POLLUTION SUBWAY
spellingShingle	GREENHOUSE GAS EMISSIONS CARBON DIOXIDE EMISSIONS SATELLITE DATE ENVIRONMENT KUZNETS CURVE CITY CARBON PERFORMANCE URBAN POLLUTION SUBWAY Dasgupta, Susmita Lall, Somik Wheeler, David Urban CO2 Emissions : A Global Analysis with New Satellite Data
relation	Policy Research Working Paper;No. 9845
description	This paper estimates an urban carbon dioxide emissions model using satellite-measured carbon dioxide concentrations from 2014 to 2020, for 1,236 cities in 138 countries. The model incorporates the global trend in carbon dioxide concentration, seasonal fluctuations by hemisphere, and a large set of georeferenced variables that incorporate carbon dioxide–intensive industry structure, emissions from agricultural and forest fires in neighboring areas, demography, the component of income that is uncorrelated with industry structure, and relevant geographic conditions. The income results provide the first test of an Environmental Kuznets Curve relationship for carbon dioxide based on actual observations. They suggest an environmental Kuznets curve that reaches a peak near or above $40,000 per capita, which is at the 90th percentile internationally. The research also finds that economic development has a significant effect on the direction of the relationship between population density and carbon dioxide emissions. The relationship is positive at very low incomes but becomes negative at higher incomes. The paper also uses cities’ mean regression residuals to index their carbon dioxide emissions performance within and across regions, decomposes model carbon dioxide predictions into broad source categories for each city, and uses the regression residuals to explore the impact of subway systems. The findings show significantly lower carbon dioxide emissions for subway cities.
format	Working Paper
author	Dasgupta, Susmita Lall, Somik Wheeler, David
author_facet	Dasgupta, Susmita Lall, Somik Wheeler, David
author_sort	Dasgupta, Susmita
title	Urban CO2 Emissions : A Global Analysis with New Satellite Data
title_short	Urban CO2 Emissions : A Global Analysis with New Satellite Data
title_full	Urban CO2 Emissions : A Global Analysis with New Satellite Data
title_fullStr	Urban CO2 Emissions : A Global Analysis with New Satellite Data
title_full_unstemmed	Urban CO2 Emissions : A Global Analysis with New Satellite Data
title_sort	urban co2 emissions : a global analysis with new satellite data
publisher	World Bank, Washington, DC
publishDate	2021
url	http://documents.worldbank.org/curated/undefined/521581636558249596/Urban-CO2-Emissions-A-Global-Analysis-with-New-Satellite-Data http://hdl.handle.net/10986/36557
_version_	1764485492161642496

Urban CO2 Emissions : A Global Analysis with New Satellite Data

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