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Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation

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  • Jin, Tao
  • Jiang, Yulian
  • Liu, Xingwen

Abstract

To discuss how to promote the rapid development of new energy vehicles (NEVs) through low regulatory costs after the removal of financial subsidies, in this paper, an evolutionary game model between local governments and vehicle manufacturers is developed. In the model, we suppose a series of parameters based on academic research and practical situations. Then the model and its parameters are analyzed and verified by system dynamics simulation. The study shows that: (1) Compared with the static, the dynamic dual credit policy enables the system to have an equilibrium stability point, which helps the development of NEVs. (2) The cost of local government regulation is reduced by the effective implementation of the dynamic dual credit policy. (3) After the removal of financial subsidies, consumers focus on personal experience. Therefore, government and enterprises should focus on technological breakthroughs and infrastructure development.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:apmaco:v:440:y:2023:i:c:s0096300322007457
    DOI: 10.1016/j.amc.2022.127677
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    as
    1. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
    2. Yuan Shao & Xudong Deng & Qiankai Qing & Yajuan Wang, 2018. "Optimal Battery Recycling Strategy for Electric Vehicle under Government Subsidy in China," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    3. Suyong Zhang & Chuanxu Wang & Panos M Pardalos, 2021. "Co-evolutionary game of manufacturers’ abatement behavior under carbon tax-subsidy policy [Combating global climate change: why a carbon tax is better response to global warming than cap and trade]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(4), pages 1217-1228.
    4. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    5. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    6. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    7. Trappey, Amy J.C. & Trappey, Charles & Hsiao, C.T. & Ou, Jerry J.R. & Li, S.J. & Chen, Kevin W.P., 2012. "An evaluation model for low carbon island policy: The case of Taiwan's green transportation policy," Energy Policy, Elsevier, vol. 45(C), pages 510-515.
    8. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    9. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    10. Li, Yong & Yang, Jie & Song, Jian, 2017. "Design principles and energy system scale analysis technologies of new lithium-ion and aluminum-ion batteries for sustainable energy electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 645-651.
    11. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    12. Yuan-Yuan Wang & Yuan-Ying Chi & Jin-Hua Xu & Jia-Lin Li, 2021. "Consumer Preferences for Electric Vehicle Charging Infrastructure Based on the Text Mining Method," Energies, MDPI, vol. 14(15), pages 1-20, July.
    13. Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    14. Stokes, Leah C. & Breetz, Hanna L., 2018. "Politics in the U.S. energy transition: Case studies of solar, wind, biofuels and electric vehicles policy," Energy Policy, Elsevier, vol. 113(C), pages 76-86.
    15. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
    16. 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.
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    4. Liwen Shi & Zhonglin Fu & Wei Guo & Jing Zhang & Jiang Sun, 2023. "Exploring the Factors That Promote Sustainable Growth in Regional Sales of New Energy Vehicles: An Empirical Study of China," Sustainability, MDPI, vol. 15(8), pages 1-16, April.

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