Urban CO2 Emissions : A Global Analysis with New Satellite Data

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, 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.

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Bibliographic Details
Main Authors: Dasgupta, Susmita, Lall, Somik, Wheeler, David
Format: Working Paper biblioteca
Language:English
Published: World Bank, Washington, DC 2021-11
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
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spelling dig-okr-10986365572021-11-13T05:10:44Z 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
institution Banco Mundial
collection DSpace
country Estados Unidos
countrycode US
component Bibliográfico
access En linea
databasecode dig-okr
tag biblioteca
region America del Norte
libraryname Biblioteca del Banco Mundial
language English
topic GREENHOUSE GAS EMISSIONS
CARBON DIOXIDE EMISSIONS
SATELLITE DATE
ENVIRONMENT KUZNETS CURVE
CITY CARBON PERFORMANCE
URBAN POLLUTION
SUBWAY
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
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
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
topic_facet GREENHOUSE GAS EMISSIONS
CARBON DIOXIDE EMISSIONS
SATELLITE DATE
ENVIRONMENT KUZNETS CURVE
CITY CARBON PERFORMANCE
URBAN POLLUTION
SUBWAY
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 2021-11
url http://documents.worldbank.org/curated/undefined/521581636558249596/Urban-CO2-Emissions-A-Global-Analysis-with-New-Satellite-Data
http://hdl.handle.net/10986/36557
work_keys_str_mv AT dasguptasusmita urbanco2emissionsaglobalanalysiswithnewsatellitedata
AT lallsomik urbanco2emissionsaglobalanalysiswithnewsatellitedata
AT wheelerdavid urbanco2emissionsaglobalanalysiswithnewsatellitedata
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