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Subsidising an electric vehicle supply chain with imperfect information

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  • Gu, Xiaoyu
  • Ieromonachou, Petros
  • Zhou, Li

Abstract

This paper studies a four-echelon vehicle supply chain consisting of government, an electric/gasoline vehicle manufacturer, a retailer and consumers. The purpose is to understand how government subsidies should be allocated in order to maximise total profit of the whole supply chain. By adopting Stackelberg game theory based on conditions of imperfect information, a mathematical model was developed. The results suggest that allocation of a subsidy in the electric vehicle supply chain should first be allotted for electric vehicle customers. Specifically, in the early development stage, if the subsidy budget is limited, all of them should be given to the purchasers of electric vehicle customer. With an increasing budget available for subsidies, more allocation to the electric vehicle manufacturer is expected. However, more subsidies does not necessarily lead to more electric vehicle purchases as there is a ceiling on the market for electric vehicles. In the later development stage, subsidies may not be important in promoting electric vehicle uptake.

Suggested Citation

  • Gu, Xiaoyu & Ieromonachou, Petros & Zhou, Li, 2019. "Subsidising an electric vehicle supply chain with imperfect information," International Journal of Production Economics, Elsevier, vol. 211(C), pages 82-97.
  • Handle: RePEc:eee:proeco:v:211:y:2019:i:c:p:82-97
    DOI: 10.1016/j.ijpe.2019.01.021
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    14. Zhongwei Chen & Zhi-Ping Fan, 2023. "Improvement strategies of battery driving range in an electric vehicle supply chain considering subsidy threshold and cost misreporting," Annals of Operations Research, Springer, vol. 326(1), pages 89-113, July.
    15. Ziyue Wang & Juan Zhang & Huiju Zhao, 2020. "The Selection of Green Technology Innovations under Dual-Credit Policy," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    16. Gu, Xiaoyu & Zhou, Li & Huang, Hongfu & Shi, Xiutian & Ieromonachou, Petros, 2021. "Electric vehicle battery secondary use under government subsidy: A closed-loop supply chain perspective," International Journal of Production Economics, Elsevier, vol. 234(C).
    17. Mu Li & Yingqi Liu & Weizhong Yue, 2022. "Evolutionary Game of Actors in China’s Electric Vehicle Charging Infrastructure Industry," Energies, MDPI, vol. 15(23), pages 1-20, November.
    18. Zhang, Huiming & Zhu, Kexin & Hang, Zixuan & Zhou, Dequn & Zhou, Yi & Xu, Zhidong, 2022. "Waste battery-to-reutilization decisions under government subsidies: An evolutionary game approach," Energy, Elsevier, vol. 259(C).
    19. Fan, Zhi-Ping & Cao, Yue & Huang, Chun-Yong & Li, Yongli, 2020. "Pricing strategies of domestic and imported electric vehicle manufacturers and the design of government subsidy and tariff policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    20. Jia, Tingwen & Li, Chengjiang & Wang, Honglei & Hu, Yu-jie & Wang, Shiyuan & Xu, Guoteng & Hoang, Anh Tuan, 2024. "Subsidy policy or dual-credit policy? Evolutionary game analysis of green methanol vehicles promotion," Energy, Elsevier, vol. 293(C).
    21. Gao, Yongling & Leng, Mingming & Zhang, Yaping & Liang, Liping, 2022. "Incentivizing the adoption of electric vehicles in city logistics: Pricing, driving range, and usage decisions under time window policies," International Journal of Production Economics, Elsevier, vol. 245(C).
    22. Shao, Jing & Jiang, Changmin & Cui, Yinglong & Tang, Yao, 2023. "A game-theoretic model to compare charging infrastructure subsidy and electric vehicle subsidy policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    23. Huixin Liu & Xiang Hao, 2024. "Electric Vehicle Supply Chain Risk Assessment Based on Combined Weights and an Improved Matter-Element Extension Model: The Chinese Case," Sustainability, MDPI, vol. 16(10), pages 1-20, May.

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