IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i18p4553-d1475890.html
   My bibliography  Save this article

Research on the Multi-Agent Evolutionary Game Behavior of Joint Operation between Coal Power Enterprises and New Energy Power Enterprises under Government Supervision

Author

Listed:
  • Jingxiao Chen

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Lei Zhang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Gaodan Deng

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Based on the perspective of joint operation between coal power enterprises and new energy power enterprises (JOCN), this paper constructs an evolutionary game model among coal power enterprises (CPEs), new energy power enterprises (NEPEs) and the government, and analyzes the influencing factors of the final strategy choices of various subjects through evolutionary simulation. The results show that: (1) The game among CPEs, NEPEs and the government in JOCN is a win–win game. (2) The probability of CPEs choosing to participate in the joint operation is positively correlated with additional operating income, government subsidies and environmental costs in coal power generation, while negatively correlated with additional operating costs and spillover effects. (3) The probability of NEPEs choosing to participate in the joint operation is positively correlated with additional operating income, government subsidies and the cost of power loss in new energy power generation, while negatively correlated with additional operating costs and spillover effects. (4) The probability of the government choosing to support joint operation is positively correlated with social welfare, and negatively correlated with the cost of governmental strict supervision. The research results can provide theoretical reference for enterprises and the government in the future transformations and policy formulation.

Suggested Citation

  • Jingxiao Chen & Lei Zhang & Gaodan Deng, 2024. "Research on the Multi-Agent Evolutionary Game Behavior of Joint Operation between Coal Power Enterprises and New Energy Power Enterprises under Government Supervision," Energies, MDPI, vol. 17(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4553-:d:1475890
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/18/4553/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/18/4553/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guttman, Joel M., 2000. "On the evolutionary stability of preferences for reciprocity," European Journal of Political Economy, Elsevier, vol. 16(1), pages 31-50, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mauricio G. Villena & Marcelo J. Villena, 2004. "Evolutionary Game Theory and Thorstein Veblen’s Evolutionary Economics: Is EGT Veblenian?," Journal of Economic Issues, Taylor & Francis Journals, vol. 38(3), pages 585-610, September.
    2. Norman, Thomas W.L., 2012. "Equilibrium selection and the dynamic evolution of preferences," Games and Economic Behavior, Elsevier, vol. 74(1), pages 311-320.
    3. Heifetz, Aviad & Segev, Ella & Talley, Eric, 2007. "Market design with endogenous preferences," Games and Economic Behavior, Elsevier, vol. 58(1), pages 121-153, January.
    4. Cox, James C. & Friedman, Daniel & Gjerstad, Steven, 2007. "A tractable model of reciprocity and fairness," Games and Economic Behavior, Elsevier, vol. 59(1), pages 17-45, April.
    5. Qianqian Gu & Lei Hang, 2022. "A Game Analysis-Based Behavioral Interaction Framework between Governments and Innovative Enterprises for Intellectual Property Regulation Policies," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    6. Poulsen, Anders, 2001. "Reciprocity, Materialism and Welfare: An Evolutionary Model," Working Papers 01-3, University of Aarhus, Aarhus School of Business, Department of Economics.
    7. Heifetz, Aviad & Shannon, Chris & Spiegel, Yossi, 2007. "What to maximize if you must," Journal of Economic Theory, Elsevier, vol. 133(1), pages 31-57, March.
    8. Guttman, Joel M., 2013. "On the evolution of conditional cooperation," European Journal of Political Economy, Elsevier, vol. 30(C), pages 15-34.
    9. Tarik Tazdaït & Alejandro Caparros & Jean-Chrsitophe Péreau, 2008. "Mutual Aid: An Indirect Evolution Analysis," Working Papers halshs-00275386, HAL.
    10. Kirchgässner, Gebhard, 2010. "On minimal morals," European Journal of Political Economy, Elsevier, vol. 26(3), pages 330-339, September.
    11. Joel M. Guttman, 2010. "Reputation, Trust and the Logic of Group Lending," NFI Working Papers 2010-WP-02, Indiana State University, Scott College of Business, Networks Financial Institute.
    12. Poulsen, Anders & Poulsen, Odile, 2010. "Prisoner's Dilemma payoffs and the evolution of co-operative preferences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(2), pages 158-162, April.
    13. Jasmina Arifovic & Giuseppe Danese, 2018. "Homophily and Social Norms in Experimental Network Formation Games," Games, MDPI, vol. 9(4), pages 1-22, October.
    14. Ones, Umut & Putterman, Louis, 2007. "The ecology of collective action: A public goods and sanctions experiment with controlled group formation," Journal of Economic Behavior & Organization, Elsevier, vol. 62(4), pages 495-521, April.
    15. James Cox & Klarita Sadiraj & Vjollca Sadiraj, 2008. "Implications of trust, fear, and reciprocity for modeling economic behavior," Experimental Economics, Springer;Economic Science Association, vol. 11(1), pages 1-24, March.
    16. Aviad Heifetz & Chris Shannon & Yossi Spiegel, 2007. "The Dynamic Evolution of Preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 32(2), pages 251-286, August.
    17. Lai, Chong & Li, Rui & Gao, Xiujuan, 2024. "Bank competition with technological innovation based on evolutionary games," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 742-759.
    18. Sebastiano Della Lena & Pietro Dindo, 2019. "On the Evolution of Norms in Strategic Environments," Working Papers 2019: 16, Department of Economics, University of Venice "Ca' Foscari".
    19. Sethi, Rajiv & Somanathan, E., 2003. "Understanding reciprocity," Journal of Economic Behavior & Organization, Elsevier, vol. 50(1), pages 1-27, January.
    20. Heifetz, Aviad & Shannon, Chris & Spiegel, Yossi, 2002. "What to Maximize If You Must," Department of Economics, Working Paper Series qt0hj6631n, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4553-:d:1475890. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.