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Punishment or mercy? Tripartite game between the State, offenders, and victims in China’s environmental crime governance

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  • Xinrui Zhang

    (Southeast University)

  • Jiashu Zhang

    (Southeast University)

Abstract

China is attempting restorative justice reforms in environmental crime governance. However, a discrepancy remains between the ideal and the reality of environmental restorative justice (ERJ), particularly in balancing mercy or punishment. This study explores the strategies of the State, offenders, and victims in China’s environmental crime governance and develops a three-party evolutionary game model to analyze these interactions. Analysis of evolutionary stability identifies four potential scenarios that align with legal theory and practice during the ERJ reform process: Compromise justice, Retributive justice, Reparative justice, and Restorative justice. The simulation results based on environmental crime governance data from 2019 to 2023 indicate that current reforms are primarily oriented towards achieving reparative justice, where environmental restoration outcomes rely on punitive pressure from the State on offenders. To foster a more effective transition towards ERJ, we suggest the State maintain punishment in a moderate level through an environmental punitive compensation system. At the same time, social forces should be encouraged to participate in environmental crime governance.

Suggested Citation

  • Xinrui Zhang & Jiashu Zhang, 2025. "Punishment or mercy? Tripartite game between the State, offenders, and victims in China’s environmental crime governance," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04442-6
    DOI: 10.1057/s41599-025-04442-6
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    1. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    2. Bo Chen & Gegentana & Yongsheng Wang, 2023. "The Impact of Environmental Regulations on Enterprise Pollution Emission from the Perspective of “Overseeing the Government”," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    3. Ross Cressman & Jean-Francois Wen & William Morrison, 1998. "On the Evolutionary Dynamics of Crime," Canadian Journal of Economics, Canadian Economics Association, vol. 31(5), pages 1101-1117, November.
    4. Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    5. Zhenhua Zhang & Guoxing Zhang & Yi Hu & Yating Jiang & Cheng Zhou & Jiahui Ma, 2023. "The evolutionary mechanism of haze collaborative governance: novel evidence from a tripartite evolutionary game model and a case study in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    6. María J. Quinteros & Marcelo J. Villena & Abdellatif Ben Makhlouf, 2022. "On the Dynamics and Stability of the Crime and Punishment Game," Complexity, Hindawi, vol. 2022, pages 1-14, March.
    7. Angelo Antoci & Alessandro Fiori Maccioni & Paolo Russu, 2018. "Medical practice and malpractice litigation in an evolutionary context," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 915-928, September.
    8. Bijan Berenji & Tom Chou & Maria R D'Orsogna, 2014. "Recidivism and Rehabilitation of Criminal Offenders: A Carrot and Stick Evolutionary Game," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-13, January.
    Full references (including those not matched with items on IDEAS)

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