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Stochastic evolution game analysis of the strategic coalition of enterprise pollution control

  • Received: 06 January 2024 Revised: 19 February 2024 Accepted: 21 February 2024 Published: 06 March 2024
  • MSC : 91A22, 91B32

  • To address pollution control, cooperation among interested parties is essential. This paper examines a stochastic evolution game model involving a strategic coalition of three enterprises for pollution control. The model incorporates decision-making factors to construct a strategic coalition model of enterprise pollution control between enterprises. The study analyzes the evolution process of pollution control strategies within the coalition and determines the final stable strategy. Additionally, numerical simulations are conducted to explore the evolution paths of enterprises under various circumstances. Results from a case-based numerical example validate the theoretical findings, supporting the following insights: (1) the coalition requires an effective mechanism for incentivizing and penalizing actions, (2) the government should establish and improve coordination and management mechanisms, (3) citizens are urged to develop social oversight mechanisms for reporting environmental violation, and (4) a fair and equitable distribution mechanism should be implemented within the coalition.

    Citation: Zuliang Lu, Lu Xing, Ruixiang Xu, Mingsong Li, Junman Li. Stochastic evolution game analysis of the strategic coalition of enterprise pollution control[J]. AIMS Mathematics, 2024, 9(4): 9287-9310. doi: 10.3934/math.2024452

    Related Papers:

  • To address pollution control, cooperation among interested parties is essential. This paper examines a stochastic evolution game model involving a strategic coalition of three enterprises for pollution control. The model incorporates decision-making factors to construct a strategic coalition model of enterprise pollution control between enterprises. The study analyzes the evolution process of pollution control strategies within the coalition and determines the final stable strategy. Additionally, numerical simulations are conducted to explore the evolution paths of enterprises under various circumstances. Results from a case-based numerical example validate the theoretical findings, supporting the following insights: (1) the coalition requires an effective mechanism for incentivizing and penalizing actions, (2) the government should establish and improve coordination and management mechanisms, (3) citizens are urged to develop social oversight mechanisms for reporting environmental violation, and (4) a fair and equitable distribution mechanism should be implemented within the coalition.



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    [1] G. M. Salomão, A. Rocha, Environmental policy regulation and corporate compliance in a spatial evolutionary game model, Eur. J. Oper. Res., 279 (2019), 486–501. https://doi.org/10.48550/arXiv.1802.09406 doi: 10.48550/arXiv.1802.09406
    [2] D. W. K. Yeung, Dynamically consistent cooperative solution in a differential game of transboundary industrial pollution, J. Optim. Theory Appl., 134 (2007), 143–160. https://doi.org/10.1007/s10957-007-9240-y doi: 10.1007/s10957-007-9240-y
    [3] H. U. Dongbin, H. Liu, X. Chen, Research on the ecological compensation standard of the basin pollution control project based on evolutionary game theory and by taking Xiangjiang River as a case, Front. Eng. Manag., 4 (2019), 575–583. https://doi.org/10.1007/s42524-019-0044-1 doi: 10.1007/s42524-019-0044-1
    [4] W. Fan, S. Wang, X. Gu, Z. Q. Zhou, Y. Zhao, W. D. Huo, Evolutionary game analysis on industrial pollution control of local government in China, J. Environ. Manage., 298 (2021), 113499. https://doi.org/10.1016/j.jenvman.2021.113499 doi: 10.1016/j.jenvman.2021.113499
    [5] S. Encarnação, F. P. Santos, F. C. Santos, V. Blass, J. M. Pacheco, J. Portugali, Paradigm shifts and the interplay between state, business and civil sectors, Royal Soc. Open Sci., 3 (2016), 160753. https://doi.org/10.1098/rsos.160753 doi: 10.1098/rsos.160753
    [6] T. A. Han, Institutional incentives for the evolution of committed cooperation: Ensuring participation is as important as enhancing compliance, J. R. Soc. Interface, 19 (2022). https://doi.org/10.1098/rsif.2022.0036 doi: 10.1098/rsif.2022.0036
    [7] H. Wang, L. Cai, W. Zeng, Research on the evolutionary game of environmental pollution in system dynamics model, J. Exp. Theroy Artif. In., 23 (2011), 39–50. https://doi.org/10.1080/0952813X.2010.506300 doi: 10.1080/0952813X.2010.506300
    [8] R. Xu, Y. Wang, W. Wang, Evolutionary game analysis for third-party governance of environmental pollution, J. Ambient. Intell. Humaniz. Comput., 5 (2019), 3143–3154. https://doi.org/10.1007/s12652-018-1034-6 doi: 10.1007/s12652-018-1034-6
    [9] C. Wang, F. Shi, An evolutionary game model for industrial pollution management under two punishment mechanisms, Int. J. Environ. Res. Public Health, 15 (2019), 2775–2790. https://doi.org/10.3390/ijerph16152775 doi: 10.3390/ijerph16152775
    [10] L. R. Cai, W. H. Cai, Z. Xiong, S. Chen, Research on Multi-Players evolutionary game of environmental pollution in system dynamics model, J. Comput. Theor. Nanosci., 13 (2016), 1979–1984. https://doi.org/10.1166/jctn.2016.5143 doi: 10.1166/jctn.2016.5143
    [11] B. Chen, C. Yeh, Stochastic noncooperative and cooperative evolutionary game strategies of a population of biological networks under natural selection, BioSystems, 162 (2017), 90–118.
    [12] L. Zhang, Z. Yao, B. Wu, Calculating biodiversity under stochastic evolutionary dynamics, Appl. Math. Comput., 411 (2021), 126543. https://doi.org/10.1016/j.amc.2021.126543 doi: 10.1016/j.amc.2021.126543
    [13] Y. Xu, B. Yu, Y. Wang, Y. Chen, A stochastic evolutionary game perspective on the stability of strategic alliances against external opportunism, J. Syst. Sci. Complex., 28 (2015), 978–996. https://doi.org/10.1007/s11424-015-2104-x doi: 10.1007/s11424-015-2104-x
    [14] J. Quan, W. Liu, Y. Chu, X. Wang, Stochastic dynamics and stable equilibrium of evolutionary optional public goods game in finite populations, Physica A, 502 (2018), 123–134. https://doi.org/10.1016/j.physa.2018.02.101 doi: 10.1016/j.physa.2018.02.101
    [15] C. Zhou, H. Xie, X. Zhang, Does fiscal policy promote third-party environmental pollution control in China? An evolutionary game theoretical approach, Sustainability, 11 (2019), 4434. https://doi.org/10.3390/su11164434 doi: 10.3390/su11164434
    [16] B. Vardar, G. Zaccour, The strategic impact of adaptation in a transboundary pollution dynamic game, Environ. Model. Assess., 23 (2018), 653–669. https://doi.org/10.1007/s10666-018-9616-4 doi: 10.1007/s10666-018-9616-4
    [17] S. Xu, Z. Zhou, K. Liu, Multi-evolutionary game research on heavy metal pollution control in soil: Based on a third-party perspective, Sustainability, 12 (2020), 5306. https://doi.org/10.3390/su12135306 doi: 10.3390/su12135306
    [18] K. Kang, L. Bai, J. Zhang, A tripartite stochastic evolutionary game model of complex technological products in a transnational supply chain, Comput. Ind. Eng., 186 (2023), 109690. https://doi.org/10.1016/j.cie.2023.109690 doi: 10.1016/j.cie.2023.109690
    [19] J. M. Smith, The theory of games and the evolution of animal conflicts, J. Theor. Biol., 47 (1974), 209–221. https://doi.org/10.1016/0022-5193(74)90110-6 doi: 10.1016/0022-5193(74)90110-6
    [20] M. Finus, B. Rundshagen, Toward a positive theory of coalition formation and endogenous instrumental choice in global pollution control, Public Choice, 96 (1998), 145–186. https://doi.org/10.1023/A:1005016623915 doi: 10.1023/A:1005016623915
    [21] F. Maturo, $\breve{\rm S}$. Ho$\breve{\rm s}$ková-Mayerová, Analyzing research impact via functional data analysis: A powerful tool for scholars, insiders, and research organizations, In: 31st International business information management association conference, 2018.
    [22] F. Maturo, A. Porreca, Augmented functional analysis of variance (A-fANOVA): Theory and application to google trends for detecting differences in abortion drugs queries, Big Data Res., 30 (2022), 100354. https://doi.org/10.1016/j.bdr.2022.100354 doi: 10.1016/j.bdr.2022.100354
    [23] X. Gao, J. Shen, W. He, F. Sun, Z. Zhang, X. Zhang, et al., Multilevel governments' decision-making process and its influencing factors in watershed ecological compensation, Sustainability, 11 (2019), 1990. https://doi.org/10.3390/su11071990 doi: 10.3390/su11071990
    [24] M. Zhang, H. Li, New evolutionary game model of the regional governance of haze pollution in China, Appl. Math. Model., 63 (2018), 577–590. https://doi.org/10.1016/j.apm.2018.07.008 doi: 10.1016/j.apm.2018.07.008
    [25] D. Friedman, Evolutionary games in economics, Econometrica, 59 (1991), 637–666. https://doi.org/10.2307/2938222 doi: 10.2307/2938222
    [26] K. Ritzberǵer, J. W. Weibull, Evolutionary selection in normal form games, Econometrica, 63 (1995), 1371–1399. https://doi.org/10.2307/2171774 doi: 10.2307/2171774
    [27] A. M. Lyapunov, The general problem of the stability of motion, Int. J. Control, 55 (1992), 531–534. https://doi.org/10.1080/00207179208934253 doi: 10.1080/00207179208934253
    [28] K. Ito, On stochastic differential equations, American Mathematical Society, 1951.
    [29] J. Sheng, M. Webber, Incentive-compatible payments for watershed services along the Eastern Route of China's South-North Water transfer project, Ecosyst. Serv., 25 (2017), 213–226. https://doi.org/10.1016/j.ecoser.2017.04.006 doi: 10.1016/j.ecoser.2017.04.006
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