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Evolutionary Games and Dynamics in Public Goods Supply with Repetitive Actions

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  • Simo Sun

    (School of Mathematics and Statistics, Guizhou University, Guiyang 550025, China
    School of Information, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Hui Yang

    (School of Mathematics and Statistics, Guizhou University, Guiyang 550025, China)

  • Guanghui Yang

    (School of Mathematics and Statistics, Guizhou University, Guiyang 550025, China)

  • Jinxiu Pi

    (School of Mathematics and Statistics, Guizhou University, Guiyang 550025, China)

Abstract

Based on a tripartite game model among suppliers of public goods, consumers, and the government, a tripartite repeated game model is constructed to analyze the evolution mechanism of which suppliers supply at low prices, consumers purchase, and the government provides incentives, and to establish the dynamics system of a repeated game. The equilibrium points of the evolutionary game are solved, and among them, the equilibrium points are found to satisfy the parameter conditions of ESS. The numerical simulation is employed to verify the impact of penalty coefficients and discount factors on the stability of strategies, which are adopted by the three players in a tripartite repeated game on public goods, and scenario analyses are conducted. The research results of this paper could provide a reference for the government, suppliers, and consumers to make rapid decisions, who are in the supply chain of public goods, especially quasi-public goods, such as coal, water, electricity, and gas, and help them to obtain stable incomes and then ensure the stable operation of the market.

Suggested Citation

  • Simo Sun & Hui Yang & Guanghui Yang & Jinxiu Pi, 2021. "Evolutionary Games and Dynamics in Public Goods Supply with Repetitive Actions," Mathematics, MDPI, vol. 9(15), pages 1-16, July.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1726-:d:599116
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    References listed on IDEAS

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    1. Escobar, Juan F. & Llanes, Gastón, 2018. "Cooperation dynamics in repeated games of adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 408-443.
    2. James W. Friedman, 1971. "A Non-cooperative Equilibrium for Supergames," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 38(1), pages 1-12.
    3. Drew Fudenberg & Eric Maskin, 2008. "The Folk Theorem In Repeated Games With Discounting Or With Incomplete Information," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 11, pages 209-230, World Scientific Publishing Co. Pte. Ltd..
    4. Laclau, Marie & Tomala, Tristan, 2017. "Repeated games with public deterministic monitoring," Journal of Economic Theory, Elsevier, vol. 169(C), pages 400-424.
    5. Zizhen Zhang & Huizhong Yang, 2012. "Hopf Bifurcation of a Predator-Prey System with Delays and Stage Structure for the Prey," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-28, December.
    6. Xujin Pu & Lei Gong & Guanghua Han, 2019. "A feasible incentive contract between a manufacturer and his fairness-sensitive retailer engaged in strategic marketing efforts," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 193-206, January.
    7. Chongyi Zhong & Hui Yang & Chun Wang, 2020. "Refinements of Equilibria for Population Games Based on Bounded Rationality of Agents," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-8, April.
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    Cited by:

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    4. Zhiyong Zhang & Xiaodie Song & Yongqiang Shi, 2023. "Evolutionary Game Analysis of Behavior Strategies of Multiple Stakeholders in an Elderly Care Service System," IJERPH, MDPI, vol. 20(5), pages 1-22, February.

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