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author:

Huang, R.-H. (Huang, R.-H..) [1] | Gao, M. (Gao, M..) [2] (Scholars:高明)

Indexed by:

Scopus PKU CSCD

Abstract:

To solve the problem of information asymmetry in third-party governance of environmental pollution under the background of fuzzy attribution of environmental responsibility, the tripartite evolutionary game model of polluting enterprise, third-party governance enterprise and local government was constructed by introducing the mechanism of incentive policy system on the strategic choice of parties and assessing the basic conditions for the system to achieve evolutionary stable state in different situations. Then, the scientificity of the game subject and system evolution stability analysis is verified with numerical simulation. The study indicates that, setting a reasonable amount of rewards and punishments and their distribution ratio, enhancing the reputational benefits of both enterprises, and controlling the cost of local government supervision are the key factors that affect the strategies choice of the three-parties. The reward and punishment distribution incentive mechanism designed according to the “responsibility sharing principle” demonstrates its effectiveness in promoting the trust and cooperation between the principal and agent; and the polluting enterprise shows stronger income sensitivity than the third-party governance enterprise does. To this end, the main responsibility status of polluting enterprise needs to be implemented, and the proportion of rewards and punishments shall be increased as much as possible. © 2023 Chinese Society for Environmental Sciences. All rights reserved.

Keyword:

evolutionary game responsibility sharing reward and punishment distribution incentive third-party governance of environmental pollution

Community:

  • [ 1 ] [Huang R.-H.]School of Economics and Management, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Huang R.-H.]Fujian Green Development Institute, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Gao M.]School of Economics and Management, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Gao M.]Fujian Green Development Institute, Fuzhou University, Fuzhou, 350116, China

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Source :

China Environmental Science

ISSN: 1000-6923

CN: 11-2201/X

Year: 2023

Issue: 4

Volume: 43

Page: 2069-2080

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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