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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
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    References listed on IDEAS

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    1. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    2. 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.
    3. 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.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
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