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A New Evolutionary Game Analysis for Industrial Pollution Management Considering the Central Government’s Punishment

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Listed:
  • Fulei Shi

    (Capital University of Economics and Business)

  • Chuansheng Wang

    (Capital University of Economics and Business)

  • Cuiyou Yao

    (Capital University of Economics and Business)

Abstract

This study conducts a new evolutionary game analysis for industrial pollution management under dynamic punishment mechanism (DPM), in which the central government’s punishment to the local government is taken into consideration. Then, we compared the two models under the DPM. Moreover, a numerical example is given to illustrate the results. The results show that the evolution path between the local government and the enterprise tends to converge to a stable value under the basic model. Notably, when we add the central government’s punishment to the model, the evolution path between the local government and the enterprise will tend to spiral converge to a stable focus. Thus, the new evolutionary game model that we presented is more conducive than the basic model. The central government’s punishment mechanism will take an active role in dealing with industrial pollution problems.

Suggested Citation

  • Fulei Shi & Chuansheng Wang & Cuiyou Yao, 2022. "A New Evolutionary Game Analysis for Industrial Pollution Management Considering the Central Government’s Punishment," Dynamic Games and Applications, Springer, vol. 12(2), pages 677-688, June.
    • Handle: RePEc:spr:dyngam:v:12:y:2022:i:2:d:10.1007_s13235-021-00407-x
    DOI: 10.1007/s13235-021-00407-x
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    References listed on IDEAS

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