IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9167-d1164993.html
   My bibliography  Save this article

Carbon Offsetting-Driven Multi-Actor Low-Carbon Collaborative Evolutionary Game Analysis

Author

Listed:
  • Ziao Zhou

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

  • Yuan Li

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

  • Yongli Zhang

    (College of Economics and Management, Tianjin University of Science and Technology, Tianjin 300222, China)

Abstract

The proactive strategic choice for low-carbon collaboration among various sectors of society is to promote low-carbon transformation of the industrial chain through carbon offsetting. This study delves into the strategy selection and game process of carbon offset actions with participation from businesses, government, and public, thus revealing the dynamic evolutionary relationship of the behavior of each stakeholder. A multi-agent low-carbon collaboration evolutionary game model is established, driven by carbon compensation. The game process undergoes an evolutionary trend simulation, strategy evolution analysis, and key parameter sensitivity analysis, ultimately identifying the optimal cooperative mode and key influencing factors among various stakeholders. The study found that an evolutionary equilibrium and stable strategy exists in the game process of enterprise, government, and public participation in carbon offsetting. The initial participation willingness of each stakeholder has an impact on the strategy choices of other stakeholders. Behaviors such as leading by example, punishment for violators, reasonable subsidy intensity, and active public supervision have a positive effect in promoting carbon offsetting policies and low-carbon collaboration. The research findings offer theoretical insights into promoting efficient multi-party green cooperation and accomplishing low-carbon transformation of the industrial chain under the ‘dual-carbon’ goal.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9167-:d:1164993
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9167/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/12/9167/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hyun-Kil Jo & Hye-Mi Park & Jin-Young Kim, 2019. "Carbon Offset Service and Design Guideline of Tree Planting for Multifamily Residential Sites in Korea," Sustainability, MDPI, vol. 11(13), pages 1-14, June.
    2. Subramanian, Nachiappan & Gunasekaran, Angappa, 2015. "Cleaner supply-chain management practices for twenty-first-century organizational competitiveness: Practice-performance framework and research propositions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 216-233.
    3. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    4. Maxime C. Cohen & Ruben Lobel & Georgia Perakis, 2016. "The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption," Management Science, INFORMS, vol. 62(5), pages 1235-1258, May.
    5. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    6. Becken, Susanne & Mackey, Brendan, 2017. "What role for offsetting aviation greenhouse gas emissions in a deep-cut carbon world?," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 71-83.
    7. Xu, Xiaoping & Zhang, Wei & He, Ping & Xu, Xiaoyan, 2017. "Production and pricing problems in make-to-order supply chain with cap-and-trade regulation," Omega, Elsevier, vol. 66(PB), pages 248-257.
    8. Seetaram, Neelu & Song, Haiyan & Ye, Shun & Page, Stephen, 2018. "Estimating willingness to pay air passenger duty," Annals of Tourism Research, Elsevier, vol. 72(C), pages 85-97.
    9. Rousse, Olivier, 2008. "Environmental and economic benefits resulting from citizens' participation in CO2 emissions trading: An efficient alternative solution to the voluntary compensation of CO2 emissions," Energy Policy, Elsevier, vol. 36(1), pages 388-397, January.
    10. Dunbing Tang & Qi Wang & Inayat Ullah, 2017. "Optimisation of product configuration in consideration of customer satisfaction and low carbon," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3349-3373, June.
    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. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    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. Demichelis, Stefano & Ritzberger, Klaus, 2003. "From evolutionary to strategic stability," Journal of Economic Theory, Elsevier, vol. 113(1), pages 51-75, November.
    5. Hofbauer, Josef & Weibull, Jorgen W., 1996. "Evolutionary Selection against Dominated Strategies," Journal of Economic Theory, Elsevier, vol. 71(2), pages 558-573, November.
    6. 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).
    7. 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.
    8. 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.
    9. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    10. 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 1-40, May.
    11. Mello, Fabiana Peixoto de, 2024. "Voluntary carbon offset programs in aviation: A systematic literature review," Transport Policy, Elsevier, vol. 147(C), pages 158-168.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    17. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
    18. 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.
    19. Yannick Viossat, 2015. "Evolutionary dynamics and dominated strategies," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(1), pages 91-113, April.
    20. Liu, Yang & Cui, Mengying & Gao, Xubin, 2023. "Building up scrap steel bases for perfecting scrap steel industry chain in China: An evolutionary game perspective," Energy, Elsevier, vol. 278(C).

    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:15:y:2023:i:12:p:9167-:d:1164993. 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.