Environmental Collaborative Governance Degree of Government, Corporation, and Public

Xin Duan, Shengli Dai, Rui Yang, Ziwei Duan and Yanhong Tang
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Xin Duan: College of Public Administration, Central China Normal University, Wuhan 430079, China
Shengli Dai: College of Public Administration, Central China Normal University, Wuhan 430079, China
Rui Yang: School of Management, Harbin Institute of Technology, Harbin 150001, China
Ziwei Duan: School of Humanities, Social Sciences & Law, Harbin Institute of Technology, Harbin 15001, China
Yanhong Tang: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China

Sustainability, 2020, vol. 12, issue 3, 1-14

Abstract: The Chinese government has attached great importance to environmental collaborative governance recently to cope with rising pollution problems. How to measure environmental collaborative governance degree is a key issue to evaluate the level and progress of the implementation of this great ambition. This paper designs an index system for measuring environmental collaborative governance degree, covering dimensions of government, corporation and the public. The entropy method is applied to measure the change of environmental governance capacity. The coupling coordination model is adapted to evaluate the environmental collaborative governance degree of government–corporation–public. Empirical analysis is conducted by using the panel data of 30 provinces of China for the years 2006–2015. The results are provided and discussed from various dimensions. Suggestions are put forward accordingly. This paper focuses on developing a method for measuring environmental collaborative governance degree and is meaningful for enlightening future research about the effect of collaboration on environmental governance.

Keywords: environmental collaborative governance; government–corporation–public; environmental pollution; regions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (14)

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