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The electric vehicle promotion in the cold-chain logistics under two-sided support policy: An evolutionary game perspective

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  • Zhao, Chuan
  • Ma, Xuying
  • Wang, Kun

Abstract

Many countries, industries, companies and end consumers have actively switched from fuel cars to electric vehicles (EV) to combat global warming via emission control. However, given cost and research and development uncertainties, refrigerated truck manufacturers (RTMs) and cold-chain logistics enterprises (CCLEs) are hesitant to update and employ electric refrigerated trucks (ERTs). Government support, notably subsidies, is vital in the ERT promotion. Thus, this study investigates the optimal two-sided support policies of the government (i.e. subsidies for CCLEs and RTMs) to explore how it achieves the best incentive for ERT promotion in the cold-chain logistics with limited resources. The study develops an evolutionary game model to analyse the influence of multiple factors on ERT upgrade and penetration strategies, clarify dynamic subsidy policy adjustment measures based on industrial evolution under multiple-factor interactions, and discuss the dynamic adjustment priority of the two-sided subsidy policies. The results indicate that the two-sided hierarchical subsidy policy can improve the promotion of ERTs and stimulate the electrification development of the cold-chain transportation industry. Finally, the decision-making preferences of RTMs and CCLEs in multiple scenarios are discussed and feasible management suggestions for government and enterprises are proposed accordingly.

Suggested Citation

  • Zhao, Chuan & Ma, Xuying & Wang, Kun, 2022. "The electric vehicle promotion in the cold-chain logistics under two-sided support policy: An evolutionary game perspective," Transport Policy, Elsevier, vol. 121(C), pages 14-34.
  • Handle: RePEc:eee:trapol:v:121:y:2022:i:c:p:14-34
    DOI: 10.1016/j.tranpol.2022.02.003
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    References listed on IDEAS

    as
    1. He, Tianbiao & Chong, Zheng Rong & Zheng, Junjie & Ju, Yonglin & Linga, Praveen, 2019. "LNG cold energy utilization: Prospects and challenges," Energy, Elsevier, vol. 170(C), pages 557-568.
    2. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    3. Santos, Georgina & Davies, Huw, 2020. "Incentives for quick penetration of electric vehicles in five European countries: Perceptions from experts and stakeholders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 326-342.
    4. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    5. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    6. Zhang, Siying & Chen, Ning & Song, Xiaoming & Yang, Jia, 2019. "Optimizing decision-making of regional cold chain logistics system in view of low-carbon economy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 844-857.
    7. Breetz, Hanna L. & Salon, Deborah, 2018. "Do electric vehicles need subsidies? Ownership costs for conventional, hybrid, and electric vehicles in 14 U.S. cities," Energy Policy, Elsevier, vol. 120(C), pages 238-249.
    8. repec:hhs:iuiwop:487 is not listed on IDEAS
    9. Gu, Cuiling & Wang, Xianjia & Zhao, Jinhua & Ding, Rui & He, Qilong, 2020. "Evolutionary game dynamics of Moran process with fuzzy payoffs and its application," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    10. Zimm, Caroline, 2021. "Improving the understanding of electric vehicle technology and policy diffusion across countries," Transport Policy, Elsevier, vol. 105(C), pages 54-66.
    11. Shao, Lulu & Yang, Jun & Zhang, Min, 2017. "Subsidy scheme or price discount scheme? Mass adoption of electric vehicles under different market structures," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1181-1195.
    12. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, April.
    13. Xiaohong Jiang & Xiucheng Guo, 2020. "Evaluation of Performance and Technological Characteristics of Battery Electric Logistics Vehicles: China as a Case Study," Energies, MDPI, vol. 13(10), pages 1-23, May.
    14. Encarnação, Sara & Santos, Fernando P. & Santos, Francisco C. & Blass, Vered & Pacheco, Jorge M. & Portugali, Juval, 2018. "Paths to the adoption of electric vehicles: An evolutionary game theoretical approach," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 24-33.
    15. Liu, Xiaoling & Sun, Xiaohua & Zheng, Hui & Huang, Dongdong, 2021. "Do policy incentives drive electric vehicle adoption? Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 49-62.
    16. Shafiei, Ehsan & Davidsdottir, Brynhildur & Fazeli, Reza & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2018. "Macroeconomic effects of fiscal incentives to promote electric vehicles in Iceland: Implications for government and consumer costs," Energy Policy, Elsevier, vol. 114(C), pages 431-443.
    17. Yu, Yugang & Han, Xiaoya & Hu, Guiping, 2016. "Optimal production for manufacturers considering consumer environmental awareness and green subsidies," International Journal of Production Economics, Elsevier, vol. 182(C), pages 397-408.
    Full references (including those not matched with items on IDEAS)

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