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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6210932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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