Exploring the effect of city size on carbon emissions: Evidence from 259 prefecture-level cities in China.
Carbon emissions
City size
Dynamic panel model
Economic development levels
The nighttime light data
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Aug 2023
Aug 2023
Historique:
received:
22
07
2022
accepted:
29
06
2023
medline:
9
8
2023
pubmed:
5
7
2023
entrez:
4
7
2023
Statut:
ppublish
Résumé
As a gathering place for human production activities, cities are the main places where energy consumption and carbon dioxide emissions occur. How to accurately measure city size and test the impact mechanism of city size on carbon emissions of different city levels is still controversial. This study uses the global nighttime light data to identify urban bright areas and built-up areas, and accordingly constructs the city size index of 259 prefecture level cities in China from 2003 to 2019. It avoids the problem of only considering the single index of population size or space size, and makes the measurement of city size more reasonable. We use a dynamic panel model to study the impact of city size on urban carbon emissions per capita, and discuss the heterogeneity of various cities under different population levels and economic development levels. The empirical results indicate that in the scale of cities in China showed a fluctuating growth trend in recent years. The city size index of most cities is clustered at medium and high values. The city size index of cities with different economic development levels and different population-scale levels shows obvious gradient differences but maintains an upward trend. The expansion of supercities (with a population of more than 5 million) introduces a drastic increase in carbon emissions. The carbon emissions growth caused by the expansion of cities that are classified as third tier and below is the smallest, while that caused by the expansion of cities that are classified as first-tier is the largest. The findings suggest differentiated emissions reduction suggestions for cities with different sizes.
Identifiants
pubmed: 37402909
doi: 10.1007/s11356-023-28564-z
pii: 10.1007/s11356-023-28564-z
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
86165-86177Subventions
Organisme : National Natural Science Foundation of China
ID : 72074181
Organisme : National Natural Science Foundation of China
ID : 72103027
Organisme : National Social Science Fund of China
ID : 20CJY023
Organisme : Innovation Capability Support Program of Shaanxi
ID : 2021KJXX-12
Organisme : Shaanxi Social Science Foundation
ID : 2019S001
Organisme : Shaanxi Social Science Foundation
ID : 2019S010
Organisme : Natural Science Basic Research Program of Shaanxi Province
ID : 2022KRM006
Organisme : Natural Science Basic Research Program of Shaanxi Province
ID : 2022JM-422
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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