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A multiagent collaborative development strategy for environmental pollution liability insurance based on an evolutionary game

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  • Yan Zhao
  • Ruyan Cheng

Abstract

To improve the problem of environmental pollution liability insurance, this paper constructs an evolutionary game model based on the government, insurance companies, and polluting enterprises. The findings indicate that in an imperfect market, penalty and subsidy mechanisms boost insurance rates. Reinsurance facilitates insurer underwriting, prompting gradual government withdrawal. Effective pricing mechanisms by insurance companies enhance environmental liability insurance operations amid evolving market mechanisms, offering theoretical guidance for addressing challenges in implementing such insurance.

Suggested Citation

  • Yan Zhao & Ruyan Cheng, 2024. "A multiagent collaborative development strategy for environmental pollution liability insurance based on an evolutionary game," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2443-2458, June.
    • Handle: RePEc:wly:mgtdec:v:45:y:2024:i:4:p:2443-2458
    DOI: 10.1002/mde.4146
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    References listed on IDEAS

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    1. Haitao Yin & Alex Pfaff & Howard Kunreuther, 2011. "Can Environmental Insurance Succeed Where Other Strategies Fail? The Case of Underground Storage Tanks," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 12-24, January.
    2. Runze Yang & Ruigang Zhang, 2022. "Environmental Pollution Liability Insurance and Corporate Performance: Evidence from China in the Perspective of Green Development," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    3. Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    4. Xiao, Tiaojun & Yu, Gang, 2006. "Supply chain disruption management and evolutionarily stable strategies of retailers in the quantity-setting duopoly situation with homogeneous goods," European Journal of Operational Research, Elsevier, vol. 173(2), pages 648-668, September.
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    Cited by:

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    2. Hu, Liang & Chen, Shishuo, 2025. "Ownership types and corporate environmental investment: Contingent effects of institutional and corporate factors," International Review of Financial Analysis, Elsevier, vol. 98(C).
    3. Jiang, Mei & Wang, Kedi & Zhao, Qiuyun & Li, Siqi & Xu, Guifu, 2025. "Small and medium-sized banks and pollution emissions from industrial enterprises," International Review of Economics & Finance, Elsevier, vol. 97(C).
    4. Zhang, Dongyang & Bai, Dingchuan & He, Yurun & Sun, Qiaobing, 2024. "Synergistic abatement effects of Broadband China and environmental regulation: Firm-level evidence," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    5. Liu, Yang & Zhang, Jintao & Zhu, Le, 2025. "Pay for air pollution: Ecological compensation policy and corporate investment," International Review of Financial Analysis, Elsevier, vol. 97(C).
    6. Lv, Yan & Wang, Fan & Liu, Guoliang & Ren, Ruixue, 2024. "The impact of environmental court construction on the quality of corporate environmental information disclosure," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    7. Liu, Zisen & Wang, Xin & Wang, Ying, 2024. "Air pollution and perk consumption," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    8. Song, Malin & Peng, Chong & Liu, Guanchun & Du, Anna Min & Boateng, Agyenim, 2025. "The impact of industrial land prices and regional strategical interactions on environmental pollution in China," International Review of Financial Analysis, Elsevier, vol. 98(C).

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