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Research on the Cooperation Model of New Energy Vehicle Supply Chain under the Background of Government Subsidies Declining

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  • Xiaobo Han

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Yin Han

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Rong Ke

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Jinghua Zhao

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

Abstract

This paper studies the impact of the decrease in government subsidies on the selection of the cooperation model of vehicle manufacturers’ in the new energy vehicle supply chain, and uses the mathematical modeling method to establish MA (cooperation between vehicle manufacturers and battery suppliers with better battery life), MB (cooperation between vehicle manufacturers and battery suppliers with similar battery life) MAB (vehicle manufacturer cooperates with both) and N (does not cooperate with both) four cooperation models. The results show that vehicle manufacturers and battery suppliers A and B have cooperation motives, but whether vehicle manufacturers prefer to cooperate with battery supplier A or battery supplier B is related to the decrease in subsidies. In addition, it studies the impact of the decrease in subsidies on the sales price, market demand and supply chain profit of new energy vehicles.

Suggested Citation

  • Xiaobo Han & Yin Han & Rong Ke & Jinghua Zhao, 2022. "Research on the Cooperation Model of New Energy Vehicle Supply Chain under the Background of Government Subsidies Declining," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12731-:d:935110
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    References listed on IDEAS

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    1. Oikawa, Koki & Managi, Shunsuke, 2015. "R&D in clean technology: A project choice model with learning," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 175-195.
    2. Trianni, Andrea & Cagno, Enrico & Farné, Stefano, 2016. "Barriers, drivers and decision-making process for industrial energy efficiency: A broad study among manufacturing small and medium-sized enterprises," Applied Energy, Elsevier, vol. 162(C), pages 1537-1551.
    3. Ahn, Joon Mo & Lee, Weonvin & Mortara, Letizia, 2020. "Do government R&D subsidies stimulate collaboration initiatives in private firms?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
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    Cited by:

    1. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.
    2. Ziqing He & Qin Liu, 2023. "The Crossover Cooperation Mode and Mechanism of Green Innovation between Manufacturing and Internet Enterprises in Digital Economy," Sustainability, MDPI, vol. 15(5), pages 1-28, February.
    3. Xiaowei Hai & Chunye Ma & Chanchan Zhao, 2025. "New Energy Logistics Vehicle Promotion: A Tripartite Evolutionary Game Perspective," Sustainability, MDPI, vol. 17(18), pages 1-26, September.

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