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Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

Author

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  • Xinhua Wang
  • Rongwu Lu
  • Hao Yu
  • Dan Li

Abstract

In this paper, we try to find the right control method for the game behavior instability in coal mine safety management. Through the analysis and comparison of the system stability with inflexible and flexible costs and penalties, it can be concluded that the dynamical game system with flexible costs (incentive rewards) and flexible penalty mechanism can significantly reduce the dynamics of unsafe behaviors in coal mine safety supervision. A combined mechanism of incentive rewards and flexible penalty is put forward to improve the stability of the dynamical system and control the instability of behaviors effectively. The results of model simulation show that the combined mechanism has very good property and can optimize and control the instability of behaviors and strategies of the interested parties. Based on the theoretical conclusions, some control strategies and policy advice are proposed for the improvement of the system and measures of safety management for government departments.

Suggested Citation

  • Xinhua Wang & Rongwu Lu & Hao Yu & Dan Li, 2019. "Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management," Complexity, Hindawi, vol. 2019, pages 1-14, February.
    • Handle: RePEc:hin:complx:6987427
    DOI: 10.1155/2019/6987427
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    References listed on IDEAS

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    1. Yan Li & Weihai Zhang & Xikui Liu, 2013. "Stability of Nonlinear Stochastic Discrete-Time Systems," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-8, August.
    2. Haokun Qi & Lidan Liu & Xinzhu Meng, 2017. "Dynamics of a Nonautonomous Stochastic SIS Epidemic Model with Double Epidemic Hypothesis," Complexity, Hindawi, vol. 2017, pages 1-14, November.
    3. Chen, Hong & Feng, Qun & Zhu, Dandan & Han, Shuai & Long, Ruyin, 2016. "Impact of rent-seeking on productivity in Chinese coal mine safety supervision: A simulation study," Energy Policy, Elsevier, vol. 93(C), pages 315-329.
    4. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    5. Rongwu Lu & Xinhua Wang & Hao Yu & Dan Li, 2018. "Multiparty Evolutionary Game Model in Coal Mine Safety Management and Its Application," Complexity, Hindawi, vol. 2018, pages 1-10, March.
    6. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
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    Cited by:

    1. Xin, Baogui & Peng, Wei & Kwon, Yekyung, 2020. "A discrete fractional-order Cournot duopoly game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    2. Wenjun Hu & Haiyan Tian & Gang Zhang, 2019. "Bifurcation Analysis of Three-Strategy Imitative Dynamics with Mutations," Complexity, Hindawi, vol. 2019, pages 1-8, October.

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