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Article

Temporal and Spatial Differentiations in Environmental Governance

by 1,2,*, 3,*, 4 and 5
1
Research Base of Socialism with Chinese Characteristics Theory System and Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
3
School of Management, Jiangsu University, Zhenjiang 212001, China
4
Department of Mathematics & Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA
5
School of Business, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(10), 2242; https://doi.org/10.3390/ijerph15102242
Received: 9 September 2018 / Revised: 6 October 2018 / Accepted: 9 October 2018 / Published: 12 October 2018
(This article belongs to the Special Issue Circular Economy from Process to Policy)
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. View Full-Text
Keywords: Yangtze River urban agglomeration; environmental governance; DEA model; Malmquist; Tobit model Yangtze River urban agglomeration; environmental governance; DEA model; Malmquist; Tobit model
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MDPI and ACS Style

Peng, B.; Li, Y.; Wei, G.; Elahi, E. Temporal and Spatial Differentiations in Environmental Governance. Int. J. Environ. Res. Public Health 2018, 15, 2242. https://doi.org/10.3390/ijerph15102242

AMA Style

Peng B, Li Y, Wei G, Elahi E. Temporal and Spatial Differentiations in Environmental Governance. International Journal of Environmental Research and Public Health. 2018; 15(10):2242. https://doi.org/10.3390/ijerph15102242

Chicago/Turabian Style

Peng, Benhong, Yue Li, Guo Wei, and Ehsan Elahi. 2018. "Temporal and Spatial Differentiations in Environmental Governance" International Journal of Environmental Research and Public Health 15, no. 10: 2242. https://doi.org/10.3390/ijerph15102242

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