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Temporal and Spatial Differentiations in Environmental Governance

With the general degradation of environmental carrying capacity in recent years, many developing countries are facing with the dual task of economic development and environmental protection. To explore the issue of urban environmental governance, in this research, we establish a Data Envelopment Ana...

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Detalles Bibliográficos
Autores principales: Peng, Benhong, Li, Yue, Wei, Guo, Elahi, Ehsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210932/
https://www.ncbi.nlm.nih.gov/pubmed/30322099
http://dx.doi.org/10.3390/ijerph15102242
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author Peng, Benhong
Li, Yue
Wei, Guo
Elahi, Ehsan
author_facet Peng, Benhong
Li, Yue
Wei, Guo
Elahi, Ehsan
author_sort Peng, Benhong
collection PubMed
description With the general degradation of environmental carrying capacity in recent years, many developing countries are facing with the dual task of economic development and environmental protection. To explore the issue of urban environmental governance, in this research, we establish a Data Envelopment Analysis (DEA) model to investigate the environmental governance regarding temporal and spatial efficiency. Further, we deconstruct environmental governance efficiency into comprehensive efficiency, pure technical efficiency, and scale efficiency and develop a Tobit model to analyze the influencing factors affecting urban environmental governance efficiency. In addition, the above DEA, Tobit model, and deconstruction of efficiency have been applied to study environmental governance efficiency for the Yangtze River urban agglomeration. Findings include: (1) The gap in environmental governance efficiency between cities is highly noticeable, as the highest efficiency index is 0.934, the lowest is only 0.246, and the comprehensive efficiency index has fallen sharply from 0.708 to 0.493 in the past 10 years; (2) Environmental governance efficiency is basically driven by technological progress, while the scale efficiency change index is the main driver of the technological progress change index; (3) For environmental governance efficiency, urbanization and capital openness are irrelevant factors, economic level and urban construction are unfavorable factors, and industrial structure and population density are favorable factors. These findings will help urban agglomerations to effectively avoid the adverse effects of environmental governance efficiency in economic development, and achieve a coordinated development of urban construction and environmental governance.
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spelling pubmed-62109322018-11-02 Temporal and Spatial Differentiations in Environmental Governance Peng, Benhong Li, Yue Wei, Guo Elahi, Ehsan Int J Environ Res Public Health Article With the general degradation of environmental carrying capacity in recent years, many developing countries are facing with the dual task of economic development and environmental protection. To explore the issue of urban environmental governance, in this research, we establish a Data Envelopment Analysis (DEA) model to investigate the environmental governance regarding temporal and spatial efficiency. Further, we deconstruct environmental governance efficiency into comprehensive efficiency, pure technical efficiency, and scale efficiency and develop a Tobit model to analyze the influencing factors affecting urban environmental governance efficiency. In addition, the above DEA, Tobit model, and deconstruction of efficiency have been applied to study environmental governance efficiency for the Yangtze River urban agglomeration. Findings include: (1) The gap in environmental governance efficiency between cities is highly noticeable, as the highest efficiency index is 0.934, the lowest is only 0.246, and the comprehensive efficiency index has fallen sharply from 0.708 to 0.493 in the past 10 years; (2) Environmental governance efficiency is basically driven by technological progress, while the scale efficiency change index is the main driver of the technological progress change index; (3) For environmental governance efficiency, urbanization and capital openness are irrelevant factors, economic level and urban construction are unfavorable factors, and industrial structure and population density are favorable factors. These findings will help urban agglomerations to effectively avoid the adverse effects of environmental governance efficiency in economic development, and achieve a coordinated development of urban construction and environmental governance. MDPI 2018-10-12 2018-10 /pmc/articles/PMC6210932/ /pubmed/30322099 http://dx.doi.org/10.3390/ijerph15102242 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peng, Benhong
Li, Yue
Wei, Guo
Elahi, Ehsan
Temporal and Spatial Differentiations in Environmental Governance
title Temporal and Spatial Differentiations in Environmental Governance
title_full Temporal and Spatial Differentiations in Environmental Governance
title_fullStr Temporal and Spatial Differentiations in Environmental Governance
title_full_unstemmed Temporal and Spatial Differentiations in Environmental Governance
title_short Temporal and Spatial Differentiations in Environmental Governance
title_sort temporal and spatial differentiations in environmental governance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210932/
https://www.ncbi.nlm.nih.gov/pubmed/30322099
http://dx.doi.org/10.3390/ijerph15102242
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