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Analysis of the Dynamic Evolution Game of Government, Enterprise and the Public to Control Industrial Pollution

Author

Listed:
  • Na Yu

    (College of Economics and Management, Hefei University, Hefei 230601, China)

  • Meilin Lu

    (College of Economics and Management, Hefei University, Hefei 230601, China)

Abstract

This paper proposes a two-party evolutionary game model of government and enterprise to solve the dilemma of industrial pollution control and explore the mode of government and enterprise collaborative governance. The local equilibrium points of the game model in four cases are calculated and analyzed, and the results show that government power alone cannot help enterprises achieve an ideal level of pollution reduction, and it is necessary to introduce public power for supervision. Based on the above, a tripartite evolutionary game model comprising the government, the public, and the enterprise is proposed. When the costs and benefits of the tripartite game players meet certain conditions, the system will evolve to a state of equilibrium (0,1,1). Following the current situation of economic development in China, the parameters of the two-party and tripartite evolutionary game are assigned, and the operating path and system’s evolution trajectory of the two-party and tripartite industrial pollution control are simulated by Matlab R2016a software. It is indicated that whether the government participates in supervision or not, an enterprise will actively control pollution under strong public supervision, which can provide feasible suggestions for the selection of industrial pollution control policies.

Suggested Citation

  • Na Yu & Meilin Lu, 2024. "Analysis of the Dynamic Evolution Game of Government, Enterprise and the Public to Control Industrial Pollution," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2760-:d:1364618
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    References listed on IDEAS

    as
    1. You, Qi & Yu, Kai & Zhou, Lujie & Zhang, Jing & Lv, Maoyun & Wang, Jiansheng, 2023. "Research on risk analysis and prevention policy of coal mine workers' group behavior based on evolutionary game," Resources Policy, Elsevier, vol. 80(C).
    2. Hao, Yu & Guo, Yunxia & Li, Suixin & Luo, Shiyue & Jiang, Xueting & Shen, Zhiyang & Wu, Haitao, 2022. "Towards achieving the sustainable development goal of industry: How does industrial agglomeration affect air pollution?," Innovation and Green Development, Elsevier, vol. 1(1).
    3. Song, Yan & Zhu, Jing & Yue, Qian & Zhang, Ming & Wang, Longke, 2023. "Industrial agglomeration, technological innovation and air pollution: Empirical evidence from 277 prefecture-level cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 240-252.
    4. Ma, Xiaojian & Quan, Ji & Wang, Xianjia, 2023. "Evolution of cooperation with nonlinear environment feedback in repeated public goods game," Applied Mathematics and Computation, Elsevier, vol. 452(C).
    5. Bai, Caiquan & Xie, Dongshui & Zhang, Yuwei, 2024. "Industrial land transfer and enterprise pollution emissions: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 181-194.
    6. Lan, Jing & Wei, Yiming & Guo, Jie & Li, Qiuming & Liu, Zhen, 2023. "The effect of green finance on industrial pollution emissions: Evidence from China," Resources Policy, Elsevier, vol. 80(C).
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