Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China

China’s environmental problems are emerging with the continuous development of the economy and urbanization. The study of the impact of urban spatial structure on environmental efficiency has important significance concerning exploring ways to reduce the environmental cost of economic activity. Base...

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Main Authors: Jing Ye, Feng Wei, Xihe Liu, Jinkai Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1058585/full
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author Jing Ye
Feng Wei
Xihe Liu
Jinkai Li
author_facet Jing Ye
Feng Wei
Xihe Liu
Jinkai Li
author_sort Jing Ye
collection DOAJ
description China’s environmental problems are emerging with the continuous development of the economy and urbanization. The study of the impact of urban spatial structure on environmental efficiency has important significance concerning exploring ways to reduce the environmental cost of economic activity. Based on the fusion-corrected DMSP-OLS and NPP-VIIRS nighttime light data, this paper constructs spatial structure indicators of 276 prefecture-level cities and then empirically tests the impact of urban spatial structure on environmental efficiency using a fixed-effects model. The results show that: 1) The monocentric spatial structure has higher environmental efficiency than the polycentric spatial structure. 2) The mechanism analysis shows that the monocentric spatial structure could improve environmental efficiency through learning, sharing, and matching. 3) Population size and density have a robust moderating effect that when the resident population size of a city is more than 5 million or the population density is beyond 280 persons/km2, the monocentric spatial structure has a negative impact on environmental efficiency. In contrast, the polycentric spatial structure is more effective. 4) The point-based household registration policy adopted by the government to control population size has no significant impact on environmental efficiency, while the environmental information disclosure policy can effectively play a role. Our findings provide a basis for the Chinese government to formulate urban planning and environmental protection policies and offer the experience to other developing countries.
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spelling doaj.art-06678b9139494861ab2c012f93ec0ed32022-12-22T04:16:55ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-11-011010.3389/fenvs.2022.10585851058585Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in ChinaJing Ye0Feng Wei1Xihe Liu2Jinkai Li3School of Economics, Shanghai University, Shanghai, ChinaSchool of Social Development and Public Policy, Fudan University, Shanghai, ChinaSchool of Economics, Shanghai University, Shanghai, ChinaSchool of Economics, Shanghai University, Shanghai, ChinaChina’s environmental problems are emerging with the continuous development of the economy and urbanization. The study of the impact of urban spatial structure on environmental efficiency has important significance concerning exploring ways to reduce the environmental cost of economic activity. Based on the fusion-corrected DMSP-OLS and NPP-VIIRS nighttime light data, this paper constructs spatial structure indicators of 276 prefecture-level cities and then empirically tests the impact of urban spatial structure on environmental efficiency using a fixed-effects model. The results show that: 1) The monocentric spatial structure has higher environmental efficiency than the polycentric spatial structure. 2) The mechanism analysis shows that the monocentric spatial structure could improve environmental efficiency through learning, sharing, and matching. 3) Population size and density have a robust moderating effect that when the resident population size of a city is more than 5 million or the population density is beyond 280 persons/km2, the monocentric spatial structure has a negative impact on environmental efficiency. In contrast, the polycentric spatial structure is more effective. 4) The point-based household registration policy adopted by the government to control population size has no significant impact on environmental efficiency, while the environmental information disclosure policy can effectively play a role. Our findings provide a basis for the Chinese government to formulate urban planning and environmental protection policies and offer the experience to other developing countries.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1058585/fullurban spatial structuremonocentric spatial structurepolycentric spatial structureenvironmental efficiencynighttime light data
spellingShingle Jing Ye
Feng Wei
Xihe Liu
Jinkai Li
Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China
Frontiers in Environmental Science
urban spatial structure
monocentric spatial structure
polycentric spatial structure
environmental efficiency
nighttime light data
title Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China
title_full Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China
title_fullStr Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China
title_full_unstemmed Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China
title_short Urban spatial structure and environmental efficiency: Empirical analysis from prefecture-level cities in China
title_sort urban spatial structure and environmental efficiency empirical analysis from prefecture level cities in china
topic urban spatial structure
monocentric spatial structure
polycentric spatial structure
environmental efficiency
nighttime light data
url https://www.frontiersin.org/articles/10.3389/fenvs.2022.1058585/full
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AT xiheliu urbanspatialstructureandenvironmentalefficiencyempiricalanalysisfromprefecturelevelcitiesinchina
AT jinkaili urbanspatialstructureandenvironmentalefficiencyempiricalanalysisfromprefecturelevelcitiesinchina