IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2827-d511328.html
   My bibliography  Save this article

Low-Carbon Supply Chain Emission Reduction Strategy Considering the Supervision of Downstream Enterprises Based on Evolutionary Game Theory

Author

Listed:
  • Guohua Qu

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Yanfang Wang

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Ling Xu

    (Economics and Management College, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

  • Weihua Qu

    (Institute of Management and Decision, Shanxi University, Taiyuan 030006, China
    School of Economics and Management, Shanxi University, Taiyuan 030006, China)

  • Qiang Zhang

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Zeshui Xu

    (Business School, Sichuan University, Chengdu 610064, China)

Abstract

In order to explore the issue of multi-party collaborative governance of energy conservation and emission reduction under the perspective of the low-carbon supply chain, the participation of downstream enterprises as an effective source of local government supervision is included in the selection of low-carbon behaviors of suppliers. First, this paper establishes a tripartite evolutionary game model among local governments, suppliers and downstream enterprise groups. By calculating and copying dynamic equations, the asymptotic stability analysis of the three parties of the game is performed and the stability of the Jacobian matrix proposed by Friedman is used to analyze the local stability of the model equilibrium point and the evolutionary stability strategy of the system. Secondly, the evolution results and evolution paths of the model under different strategies are simulated by system dynamics and the influence of different parameters on the main body selection strategy of the tripartite game is analyzed. Finally, the paper puts forward corresponding policy suggestions from the perspectives of local government, suppliers and downstream enterprises in order to provide new ideas for the governance of China’s environmental problems from the perspective of low carbon.

Suggested Citation

  • Guohua Qu & Yanfang Wang & Ling Xu & Weihua Qu & Qiang Zhang & Zeshui Xu, 2021. "Low-Carbon Supply Chain Emission Reduction Strategy Considering the Supervision of Downstream Enterprises Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2827-:d:511328
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2827/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/5/2827/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yenipazarli, Arda, 2016. "Managing new and remanufactured products to mitigate environmental damage under emissions regulation," European Journal of Operational Research, Elsevier, vol. 249(1), pages 117-130.
    2. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    3. Changping Zhao & Xiaojiang Xu & Yu Gong & Houming Fan & Haojia Chen, 2019. "Blue Carbon Cooperation in the Maritime Silk Road with Network Game Model and Simulation," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    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. Wei Duan & Hengli Cao & Desheng Xu, 2023. "Research on the Impact of New Parts Price Increase on the Stability of Closed-Loop Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    2. Zhou, Xiaoxiao & Jia, Mengyu & Wang, Lu & Sharma, Gagan Deep & Zhao, Xin & Ma, Xiaowei, 2022. "Modelling and simulation of a four-group evolutionary game model for green innovation stakeholders: Contextual evidence in lens of sustainable development," Renewable Energy, Elsevier, vol. 197(C), pages 500-517.
    3. Qiang Du & Yunqing Yan & Youdan Huang & Chanchan Hao & Jiao Wu, 2021. "Evolutionary Games of Low-Carbon Behaviors of Construction Stakeholders under Carbon Taxes," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    4. Limin Su & Yongchao Cao & Wenjuan Zhang, 2023. "Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    5. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    6. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    7. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    8. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    9. Jialu Li & Meiying Yang & Wei Xing & Xuan Zhao, 2018. "Information Acquisition Behavior: An Evolutionary Game Theory Perspective," Dynamic Games and Applications, Springer, vol. 8(2), pages 434-455, June.
    10. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    11. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    12. Bergstrom, Theodore C & Stark, Oded, 1993. "How Altruism Can Prevail in an Evolutionary Environment," American Economic Review, American Economic Association, vol. 83(2), pages 149-155, May.
    13. Hopkins, Ed, 1999. "Learning, Matching, and Aggregation," Games and Economic Behavior, Elsevier, vol. 26(1), pages 79-110, January.
    14. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    15. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    16. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    17. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.
    18. Jinxiu Pi & Hui Yang & Yadong Shu & Chongyi Zhong & Guanghui Yang, 2020. "The Stability of Two-Community Replicator Dynamics with Discrete Multi-Delays," Mathematics, MDPI, vol. 8(12), pages 1-17, November.
    19. He, Qidong & Wang, Nengmin & Browning, Tyson R. & Jiang, Bin, 2022. "Competitive collection with convenience-perceived customers," European Journal of Operational Research, Elsevier, vol. 303(1), pages 239-254.
    20. Guanqiao Pan & Hongchao Jiang & Qianhui Jin & Tianyi Zhao & Jiajun Wang & Li Wang, 2021. "Study on the Sharing Transportation Based on Game Theory," Sustainability, MDPI, vol. 13(16), pages 1-28, August.

    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:jsusta:v:13:y:2021:i:5:p:2827-:d:511328. 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.