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A Three-Party Decision Evolution Game Analysis of Coal Companies and Miners under China’s Government Safety Special Rectification Action

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  • Can Xie

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Hongxia Li

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China
    College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Lei Chen

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

Abstract

Research on the behavior of coal companies and miners under the government’s safety special rectification action is significant for maintaining social stability. In this paper, we constructed a dynamic evolutionary game model involving the government, coal companies, and miners. We analyzed the asymptotic stability conditions of the behavioral strategies of the participants in the game through phase diagrams and conducted a simulation analysis using Matlab R2021b to explore the impact of the key parameters in the model on the strategic choices of the game participants. The research findings indicated: (1) intricate interactive dynamics exist among the three stakeholders in safety rectification endeavors, with diverse intervention strategies manifesting varying impacts on participants’ conduct and outcomes; (2) setting reasonable reward and punishment mechanisms for safety behaviors by the government toward coal companies and miners helps to increase the probability of both choosing proactive safety behaviors. Coal companies that set reasonable reward and punishment mechanisms for the safety behaviors of miners can promote miners’ willingness to cooperate. Additionally, reducing safety rectification costs and enhancing the social reputation benefits of safety rectification can facilitate the optimal strategic choices of the three parties; and (3) the simulation analysis results corroborate the conclusions on the stability of strategies across all stakeholders, affirming the validity of the research outcomes and furnishing pertinent recommendations for enhancing the safety rectification framework.

Suggested Citation

  • Can Xie & Hongxia Li & Lei Chen, 2023. "A Three-Party Decision Evolution Game Analysis of Coal Companies and Miners under China’s Government Safety Special Rectification Action," Mathematics, MDPI, vol. 11(23), pages 1-23, November.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4750-:d:1286927
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    References listed on IDEAS

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    1. Klanac, Alan & Varsta, Petri, 2011. "Design of marine structures with improved safety for environment," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 75-90.
    2. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    3. Kui Zhou & Qi Wang & Junnan Tang & Xinyu Wang, 2021. "Tripartite Evolutionary Game and Simulation Analysis of Coal Mining Safe Production Supervision under the Chinese Central Government’s Reward and Punishment Mechanism," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-17, November.
    4. Liu, Quanlong & Li, Xinchun & Hassall, Maureen, 2021. "Regulatory regime on coal Mine Safety in China and Australia: Comparative analysis and overall findings," Resources Policy, Elsevier, vol. 74(C).
    5. Palmini, Dennis, 1999. "Uncertainty, risk aversion, and the game theoretic foundations of the safe minimum standard: a reassessment," Ecological Economics, Elsevier, vol. 29(3), pages 463-472, June.
    6. Reniers, Genserik & Soudan, Karel, 2010. "A game-theoretical approach for reciprocal security-related prevention investment decisions," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 1-9.
    7. Liu, Quanlong & Wang, Jingzhi & Qiu, Zunxiang, 2023. "Data as evidence: Research on the influencing factors and mechanisms of coal mine safety supervision effect in China," Resources Policy, Elsevier, vol. 81(C).
    Full references (including those not matched with items on IDEAS)

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