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Carbon quota allocation modeling framework in the automotive industry based on repeated game theory: A case study of ten Chinese automotive enterprises

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  • Wang, Ning
  • Shang, Kai
  • Duan, Yan
  • Qin, Dandan

Abstract

Carbon quota management system is a long-term effective mechanism to promote the sustainable development of automotive industry. However, issues such as the total amount and allocation mechanism of carbon quotas hinder countries' implementation of carbon quota policies in the automotive industry. To address these issues, this study uses the GREET model and system dynamics model to predict carbon emissions in the automotive industry and sets the total carbon quota for China's automotive industry. Furthermore, based on the ZSG-DEA model and Gini coefficient model, this study applies repeated game theory to propose a carbon quota allocation modeling framework for the automotive industry. The results show that the proposed allocation modeling framework achieves a balance between equity and efficiency while taking into account the interests of both the government and enterprises, and achieves an equitable allocation of carbon quotas among 10 representative automotive enterprises. This study can provide reference for the design of carbon quota management system in the automobile industry.

Suggested Citation

  • Wang, Ning & Shang, Kai & Duan, Yan & Qin, Dandan, 2023. "Carbon quota allocation modeling framework in the automotive industry based on repeated game theory: A case study of ten Chinese automotive enterprises," Energy, Elsevier, vol. 279(C).
    • Handle: RePEc:eee:energy:v:279:y:2023:i:c:s0360544223014871
    DOI: 10.1016/j.energy.2023.128093
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    1. Cramton, Peter & Kerr, Suzi, 2002. "Tradeable carbon permit auctions: How and why to auction not grandfather," Energy Policy, Elsevier, vol. 30(4), pages 333-345, March.
    2. Shepherd, Simon & Bonsall, Peter & Harrison, Gillian, 2012. "Factors affecting future demand for electric vehicles: A model based study," Transport Policy, Elsevier, vol. 20(C), pages 62-74.
    3. Lu, Chao & Liu, Hu-Chen & Tao, Jie & Rong, Ke & Hsieh, Ying-Che, 2017. "A key stakeholder-based financial subsidy stimulation for Chinese EV industrialization: A system dynamics simulation," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 1-14.
    4. Ji, Jingna & Zhang, Zhiyong & Yang, Lei, 2017. "Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 68-84.
    5. Wang, Ning & Tang, Linhao & Zhang, Wenjian & Guo, Jiahui, 2019. "How to face the challenges caused by the abolishment of subsidies for electric vehicles in China?," Energy, Elsevier, vol. 166(C), pages 359-372.
    6. Pizer, William A., 2002. "Combining price and quantity controls to mitigate global climate change," Journal of Public Economics, Elsevier, vol. 85(3), pages 409-434, September.
    7. Fei Qu & Yi-Ting Wang & Wen-Hui Hou & Xiao-Yu Zhou & Xiao-Kang Wang & Jun-Bo Li & Jian-Qiang Wang, 2022. "Forecasting of Automobile Sales Based on Support Vector Regression Optimized by the Grey Wolf Optimizer Algorithm," Mathematics, MDPI, vol. 10(13), pages 1-22, June.
    8. Pasaoglu, Guzay & Harrison, Gillian & Jones, Lee & Hill, Andrew & Beaudet, Alexandre & Thiel, Christian, 2016. "A system dynamics based market agent model simulating future powertrain technology transition: Scenarios in the EU light duty vehicle road transport sector," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 133-146.
    9. 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).
    10. Baker, Erin & Clarke, Leon & Shittu, Ekundayo, 2008. "Technical change and the marginal cost of abatement," Energy Economics, Elsevier, vol. 30(6), pages 2799-2816, November.
    11. Guoqiang Zhang & Lianghui Wu & Jun Chen, 2021. "Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    12. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    13. Junshan Li & Yilin Wu & Yuanan Lu, 2022. "Analysis of medical resources for allocation equity using traditional Chinese medicine resource as a model," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(6), pages 3205-3217, November.
    14. Zhou, Xiaoxiao & Lin, Junjie & Wang, Lu & Huang, Hongyun & Zhao, Xin, 2022. "Wind power resources and China's sustainable development roadmap: Evidence from China," Resources Policy, Elsevier, vol. 79(C).
    15. You, Wei & Geng, Yong & Dong, Huijuan & Wilson, Jeffrey & Pan, Hengyu & Wu, Rui & Sun, Lu & Zhang, Xi & Liu, Zhiqing, 2018. "Technical and economic assessment of RES penetration by modelling China's existing energy system," Energy, Elsevier, vol. 165(PB), pages 900-910.
    16. Severin Borenstein, 1988. "On the Efficiency of Competitive Markets for Operating Licenses," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(2), pages 357-385.
    17. Lining Wang & Wenying Chen & Hongjun Zhang & Ding Ma, 2017. "Dynamic equity carbon permit allocation scheme to limit global warming to two degrees," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 609-628, April.
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