IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i19p5210-d1761920.html

Low-Carbon Policies and Power Generation Modes: An Evolutionary Game Analysis of Vertical Governments and Power Generation Groups

Author

Listed:
  • Jun Yu

    (Jinhe Center for Economic Research, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zongxian Feng

    (Jinhe Center for Economic Research, Xi’an Jiaotong University, Xi’an 710049, China
    School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China)

Abstract

Given the great proportion of CO 2 emissions from electricity generation in total energy-related CO 2 emissions, this article constructs a tripartite evolutionary game model consisting of vertical governments and power generation groups (PGGs), where the vertical governments include the central government (CG) and local governments (LGs), considering the externalities of different power generation modes on energy security and the environment. This article analyzes the stable strategies of the three players through replicator dynamics equations, draws the evolutionary phase diagrams, and analyzes the asymptotic stability of equilibrium points by using Jacobian matrices. To validate and broaden the results, this article also provides a numerical simulation. This article concludes that (1) a reduction in the supervision, enforcement, or low-carbonization costs of the CG, LGs, or PGGs motivates it or them to choose “supervision”, “enforcement”, or “low-carbonization” strategies; (2) an increase in penalty incomes or expenses encourages the CG or LGs to choose the “supervision” or “enforcement” strategies; (3) a rise in extra tax expenses motivates PGGs to choose the “low-carbonization” strategy; (4) a change in the externalities of energy security or the environment has no impact on the CG’s strategy. The above conclusions offer the CG and LGs with references for making effective low-carbon policies and provide PGGs with references for choosing an appropriate power generation mode.

Suggested Citation

  • Jun Yu & Zongxian Feng, 2025. "Low-Carbon Policies and Power Generation Modes: An Evolutionary Game Analysis of Vertical Governments and Power Generation Groups," Energies, MDPI, vol. 18(19), pages 1-22, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5210-:d:1761920
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/19/5210/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/19/5210/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, Ke & Chen, Xueqing & Wang, Feng, 2024. "How to escape the dilemma of carbon emission reduction policies implementation under Chinese fiscal decentralization?," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    2. Jun Yu & Shihui Yang & Zongxian Feng, 2025. "Game Analysis Between Manufacturer and Retailer Under Carbon Tax Policy," Sustainability, MDPI, vol. 17(13), pages 1-13, July.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    5. Zheyin Jin & Ye Li & Dominique Gruyer & Meiting Tu, 2024. "Enhancing the Carbon Reduction Potential in Ridesplitting through Evolutionary Game Strategies of Tripartite Stakeholders under Carbon-Inclusive Policy," Energies, MDPI, vol. 17(16), pages 1-21, August.
    6. Wen, Ruan & Heng, Zhang & Jin, Yang, 2025. "How to break carbon lock-in of thermal power industry in China—A tripartite evolutionary game analysis," Applied Energy, Elsevier, vol. 377(PB).
    7. Tao Huang & Zhixin Liu & Tian Zhao, 2022. "Evolutionary Game Analysis of Responding to the EU’s Carbon Border Adjustment Mechanism," Energies, MDPI, vol. 15(2), pages 1-20, January.
    8. Su, Q. & Zhou, P. & Ding, H. & Xydis, G., 2024. "Transition towards a hybrid energy system: Combined effects of renewable portfolio standards and carbon emission trading," Energy Economics, Elsevier, vol. 135(C).
    9. Kai Ou & Yu Shi & Wenwen Zhou, 2024. "An Evolutionary Game Study on Green Technology Innovation of Coal Power Firms under the Dual-Regulatory System," Energies, MDPI, vol. 17(3), pages 1-21, January.
    10. Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.
    11. Jia, Xiaojing & Yu, Changjiang & Mou, Shandong, 2025. "Sustainable livestock and poultry manure management considering carbon trading," Energy, Elsevier, vol. 326(C).
    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. Zhaoyang Cai & Ge Song & Ruiqing Su & Yue Wang, 2025. "New insights to sustainable utilization of cultivated land: a synergistic path for coordinating competition of cultivated land utilization for crops based on multiple stakeholders," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(11), pages 28309-28332, November.
    2. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.
    3. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    4. Wei Wang & Yanbin Li & Jinzhong Li & Yun Li, 2024. "Can pumped-storage power stations stimulate rural revitalization? Evidence from the four-party evolutionary game," Journal of Evolutionary Economics, Springer, vol. 34(3), pages 595-645, July.
    5. Demichelis, Stefano & Ritzberger, Klaus, 2003. "From evolutionary to strategic stability," Journal of Economic Theory, Elsevier, vol. 113(1), pages 51-75, November.
    6. Qin Shao & Ying Lyu & Jian Cao, 2025. "Evolutionary Dynamics and Policy Coordination in the Vehicle–Grid Interaction Market: A Tripartite Evolutionary Game Analysis," Mathematics, MDPI, vol. 13(15), pages 1-27, July.
    7. Ziao Zhou & Yuan Li & Yongli Zhang, 2023. "Carbon Offsetting-Driven Multi-Actor Low-Carbon Collaborative Evolutionary Game Analysis," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    8. Xia, Xiaoning & Li, Pengwei & Cheng, Yang, 2023. "Tripartite evolutionary game analysis of power battery carbon footprint disclosure under the EU battery regulation," Energy, Elsevier, vol. 284(C).
    9. Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    10. Hexin Wang & Chao Liu & Yu Dai, 2024. "How Can the Government Promote Sustainable Cooperation between Schools and Enterprises? A Quadrilateral Evolutionary Game Study," Sustainability, MDPI, vol. 16(17), pages 1-14, August.
    11. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    12. Jia-He Zhou & Yu-Ming Zhu & Cai-Hong Liu & Lei He & Hong-Li Lin, 2025. "Stalemate or consensus? Evolution of stakeholders’ behavioral strategies in construction land reduction in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14253-14280, June.
    13. Yangyang Li & Jianing Sun & Juan Chen & Jinlei Li & Li Sun & Kewang Cao, 2024. "How to Promote the Development of Cultural and Creative Industries from an Evolutionary Game Perspective: Policy Mechanisms for Certification + Incentives," Sustainability, MDPI, vol. 16(11), pages 1-38, May.
    14. Jiang, Ke & Zhang, Xinxin & Leng, Mengjia & Zhang, Wulin & Wang, Feng, 2025. "Balancing incentives and sanctions: A prospect theory-based tripartite game on carbon tax dynamics," Energy, Elsevier, vol. 340(C).
    15. Reinoud Joosten & Berend Roorda, 2011. "On evolutionary ray-projection dynamics," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 74(2), pages 147-161, October.
    16. Bill Sandholm, 2003. "Excess Payoff Dynamics, Potential Dynamics, and Stable Games," Theory workshop papers 505798000000000042, UCLA Department of Economics.
    17. Kai Guo & Chengyuan Zhan & Muqing Niu & Ashutosh Sharma, 2026. "Analysis of green transformation pathways for express packaging recycling based on tripartite evolutionary game: the role of consumer carbon responsibility," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(4), pages 10397-10432, April.
    18. Ma, Xuan & Yu, Deqing & Wang, Ke, 2024. "Unraveling the intricacies of panic buying: An evolutionary game-theoretic exploration of the evolution and intervention," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    19. Reinoud Joosten & Berend Roorda, 2008. "Generalized projection dynamics in evolutionary game theory," Papers on Economics and Evolution 2008-11, Philipps University Marburg, Department of Geography.
    20. Cressman, R. & Schlag, K. H., 1998. "The Dynamic (In)Stability of Backwards Induction," Journal of Economic Theory, Elsevier, vol. 83(2), pages 260-285, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:19:p:5210-:d:1761920. 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.