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Evolutionary Game and Simulation Analysis of Participating Subjects in Remediation of Heavy Metal Contaminated Cultivated Land under the Ladder Multiple Supervision Model

Author

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  • Xiaoling Xiong

    (School of Business, Hunan Agricultural University, Changsha 410128, China
    Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China)

  • Jizhi Li

    (School of Business, Hunan Agricultural University, Changsha 410128, China)

  • Zejian Lin

    (Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China)

Abstract

The heavy metal pollution of cultivated land in China is severe, requiring remediation. Introducing third-party governance subjects representing market resources is inevitable to realize the specialization and socialization of cultivated land remediation. However, due to the public nature of cultivated land, the confusion about participating parties’ responsibilities and difficulty coordinating interests restrict the expected effect of cultivated land remediation. To this end, a three-party evolutionary game model among the grassroots government, governance enterprises, and supervisory enterprises is constructed and virtually simulated, taking into account the influence of random checks by the higher-level government. We found that the reward and punishment mechanism of the grassroots government, the frequency of random inspection by the higher-level government, and the amount of deduction will influence the strategy selection of the participating parties. Strengthening the awareness of the responsibility of the grassroots government, optimizing the incentive system, establishing a regular spot-check system, and improving the cost of non-compliance by enterprises can effectively resolve conflicts of interest among the participants. The study results have practical significance for further enhancing the remediation efficiency of heavy metal-contaminated cultivated land.

Suggested Citation

  • Xiaoling Xiong & Jizhi Li & Zejian Lin, 2023. "Evolutionary Game and Simulation Analysis of Participating Subjects in Remediation of Heavy Metal Contaminated Cultivated Land under the Ladder Multiple Supervision Model," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4940-:d:1093258
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    References listed on IDEAS

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    1. Sen Zhang & Guangyuan Qin & Ling Wang & Baodong Cheng & Yuan Tian & Daqing Gong, 2021. "Evolutionary Game Research between the Government Environmental Regulation Intensities and the Pollution Emissions of Papermaking Enterprises," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, September.
    2. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    3. Kreps, David M. & Wilson, Robert, 1982. "Reputation and imperfect information," Journal of Economic Theory, Elsevier, vol. 27(2), pages 253-279, August.
    4. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    5. Friedman, Daniel, 1991. "A simple testable model of double auction markets," Journal of Economic Behavior & Organization, Elsevier, vol. 15(1), pages 47-70, January.
    6. Sungki Kim & Nina Shin & Sangwook Park, 2020. "Closed-Loop Supply Chain Coordination under a Reward–Penalty and a Manufacturer’s Subsidy Policy," Sustainability, MDPI, vol. 12(22), pages 1-28, November.
    7. Brian R. Copeland & M. Scott Taylor, 1995. "Trade and the Environment: A Partial Synthesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 765-771.
    8. Hui Hu & Qian Jin & Philip Kavan, 2014. "A Study of Heavy Metal Pollution in China: Current Status, Pollution-Control Policies and Countermeasures," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
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