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Temporal and Spatial Differentiations in Environmental Governance

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  • Benhong Peng

    (Research Base of Socialism with Chinese Characteristics Theory System and Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Yue Li

    (School of Management, Jiangsu University, Zhenjiang 212001, China)

  • Guo Wei

    (Department of Mathematics & Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA)

  • Ehsan Elahi

    (School of Business, Nanjing University of Information Science and Technology, Nanjing 210044, China)

Abstract

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.

Suggested Citation

  • Benhong Peng & Yue Li & Guo Wei & Ehsan Elahi, 2018. "Temporal and Spatial Differentiations in Environmental Governance," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2242-:d:175341
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    References listed on IDEAS

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    1. Gjalt Huppes & Masanobu Ishikawa, 2005. "A Framework for Quantified Eco‐efficiency Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 25-41, October.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    4. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
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    Cited by:

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    2. Tinghui Wang & Qi Fu & Yue Wang & Mengfan Gao & Jinhua Chen, 2022. "The Interaction Mechanism of Fiscal Pressure, Local Government Behavioral Preferences and Environmental Governance Efficiency: Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
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