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Future scenarios of China’s electric vehicle ownership: A modeling study based on system dynamic approach

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  • Fanyu Pu

    (Nanjing University of Information Science and Technology)

  • Songyan Jiang

    (Nanjing University of Information Science and Technology)

  • Ling Zhang

    (Nanjing Forestry University)

Abstract

Promoting electric vehicles is an important way to achieve a low-carbon transport sector for the carbon peak and neutrality target. A better understanding of future scenarios of EV ownership is fundamental for more policy-relevant results. This study develops a system dynamic model for simulating EV ownership in China by considering the interactions among factors influencing the application of electric vehicles and synthetic scenarios designed. The result shows that under the baseline scenario, China’s EV ownership would increase by 36 times, from 4.3 to 157.2 million during 2020–2035, and the new EV sales will account for 60% of total car sales, meaning that it would reach the target of promoting electric vehicles set by the Chinese government. However, according to the scenario analysis, the efficient strategies to accelerate the promotion of EVs in China are speeding up the construction of charging facilities, improving battery lifespan, and reducing daily usage fees, which are estimated to increase the EV ownership in 2035 by 59.6%, 27.3%, and 26.8%, respectively. In comparison, the effect is not so obvious for measures like duty-free and subsidy policy. The developed model can offer policymakers a reliable tool and reference to assess the outcomes of policies to promote EV application ahead of their implementation.

Suggested Citation

  • Fanyu Pu & Songyan Jiang & Ling Zhang, 2023. "Future scenarios of China’s electric vehicle ownership: A modeling study based on system dynamic approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10017-10028, September.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02474-5
    DOI: 10.1007/s10668-022-02474-5
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    References listed on IDEAS

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    1. Hao, Xu & Lin, Zhenhong & Wang, Hewu & Ou, Shiqi & Ouyang, Minggao, 2020. "Range cost-effectiveness of plug-in electric vehicle for heterogeneous consumers: An expanded total ownership cost approach," Applied Energy, Elsevier, vol. 275(C).
    2. Koot, Martijn & Wijnhoven, Fons, 2021. "Usage impact on data center electricity needs: A system dynamic forecasting model," Applied Energy, Elsevier, vol. 291(C).
    3. Dong, Feng & Liu, Yajie, 2020. "Policy evolution and effect evaluation of new-energy vehicle industry in China," Resources Policy, Elsevier, vol. 67(C).
    4. 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.
    5. Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    6. 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.
    7. Kester, Johannes & Noel, Lance & Zarazua de Rubens, Gerardo & Sovacool, Benjamin K., 2018. "Policy mechanisms to accelerate electric vehicle adoption: A qualitative review from the Nordic region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 719-731.
    8. Kebai Li & Tianyi Ma & Guo Wei & Yuqian Zhang & Xueyan Feng, 2019. "Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    Full references (including those not matched with items on IDEAS)

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