IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i15p5760-d1208846.html
   My bibliography  Save this article

Promoting the Development of China’s New-Energy Vehicle Industry in the Post-Subsidy Era: A Study Based on the Evolutionary Game Theory Method

Author

Listed:
  • Yan Chen

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    Academy of Chinese Ecological Progress and Forestry Development Studies, Nanjing Forestry University, Nanjing 210037, China)

  • Menglin Zhan

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Yue Liu

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    Academy of Chinese Ecological Progress and Forestry Development Studies, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Government policy constraints and the green credit support of banks have played an indispensable role in promoting the development of the new energy vehicle (NEV) industry. To study the relationship between the government, the banks, and automobile manufacturers in the post-subsidy era and to promote the development of the NEV industry in China, we constructed a tripartite evolutionary game model for the government, the banks, and automobile manufacturers during the subsidy decline, analyzed the evolutionary process of the system, and used MATLAB to simulate the evolutionary stable strategies (ESSs) and the sensitivity of related parameters. The results demonstrate the following: (1) There are five possible evolutionary equilibrium points in the early, middle, and late stages of the NEV industry; (2) with the increase in the phase-out rates and the transaction prices of NEV points, the government is more inclined to low subsidies, the banks are more inclined to implement green credit, and enterprises are more inclined to produce NEVs; (3) there is a threshold for the impact of government incentives on the evolutionary results of the government and the banks, beyond which the evolutionary process of the government and the banks will be unstable; (4) with the increase in financing costs saved by green credit, the government is more inclined to low subsidies and enterprises are more inclined to produce NEVs, while changes in financing costs have less impact on the strategies of banks. According to these findings, the government, the banks, and automobile manufacturers can be relied upon to promote the development of the NEV industry in China.

Suggested Citation

  • Yan Chen & Menglin Zhan & Yue Liu, 2023. "Promoting the Development of China’s New-Energy Vehicle Industry in the Post-Subsidy Era: A Study Based on the Evolutionary Game Theory Method," Energies, MDPI, vol. 16(15), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5760-:d:1208846
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/15/5760/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/15/5760/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dong, Feng & Liu, Yajie, 2020. "Policy evolution and effect evaluation of new-energy vehicle industry in China," Resources Policy, Elsevier, vol. 67(C).
    2. Li, Jizi & Ku, Yaoyao & Yu, Yue & Liu, Chunling & Zhou, Yuping, 2020. "Optimizing production of new energy vehicles with across-chain cooperation under China’s dual credit policy," Energy, Elsevier, vol. 194(C).
    3. Yang, Yunpeng & Yang, Weixin & Chen, Hongmin & Li, Yin, 2020. "China’s energy whistleblowing and energy supervision policy: An evolutionary game perspective," Energy, Elsevier, vol. 213(C).
    4. Min Hong & Zhenghui Li & Benjamin Drakeford, 2021. "Do the Green Credit Guidelines Affect Corporate Green Technology Innovation? Empirical Research from China," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    5. Wang, Gang & Chao, Yuechao & Chen, Zeshao, 2021. "Promoting developments of hydrogen powered vehicle and solar PV hydrogen production in China: A study based on evolutionary game theory method," Energy, Elsevier, vol. 237(C).
    6. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    2. Zhao, Dan & Wang, Jian & Li, Ye-kai & Tang, Jin-huan & Zhang, Shui-wang, 2024. "How to promote the transition of fuel vehicle enterprises under dual credit policy? An improved tripartite evolutionary game analysis with time delay," Energy, Elsevier, vol. 293(C).
    3. Di Wang & Yuman Li, 2022. "Measuring the Policy Effectiveness of China’s New-Energy Vehicle Industry and Its Differential Impact on Supply and Demand Markets," Sustainability, MDPI, vol. 14(13), pages 1-16, July.
    4. Dongpu Fu & Jiarui Sun & Cuiyou Yao & Fulei Shi, 2024. "The influence of policy incentives on the diffusion of battery-swapping taxis and stations: a coupled evolutionary game model in complex networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26945-26969, October.
    5. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    6. Liao, Dongsheng & Tan, Binbin, 2023. "An evolutionary game analysis of new energy vehicles promotion considering carbon tax in post-subsidy era," Energy, Elsevier, vol. 264(C).
    7. Fan, Ruguo & Bao, Xuguang & Du, Kang & Wang, Yuanyuan & Wang, Yitong, 2022. "The effect of government policies and consumer green preferences on the R&D diffusion of new energy vehicles: A perspective of complex network games," Energy, Elsevier, vol. 254(PA).
    8. Ying Xie & Jie Wu & Hannian Zhi & Muhammad Riaz & Liangpeng Wu, 2023. "A Study on the Evolution of Competition in China’s Auto Market Considering Market Capacity Constraints and a Game Payoff Matrix: Based on the Dual Credit Policy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    9. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Altmann, Jörn, 2023. "An evolutionary game-theoretic approach for investigating the long-term behavior of the industry sector for purchasing renewable and non-renewable energy: A case study of Iran," Energy, Elsevier, vol. 285(C).
    10. Shuai Nie & Guotian Cai & Yixuan Li & Yushu Chen & Ruxue Bai & Liping Gao & Xiaoyu Chen, 2022. "To Adopt CCU Technology or Not? An Evolutionary Game between Local Governments and Coal-Fired Power Plants," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    11. Yu, Hui & Li, Ying & Wang, Wei, 2023. "Optimal innovation strategies of automakers with market competition under the dual-credit policy," Energy, Elsevier, vol. 283(C).
    12. Yushi Wang & Licheng Sun & Shilong Li, 2022. "Production Decisions of Automakers Considering the Impact of Anticipated Regret under the Dual-Credit Policy," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    13. Yu, Liukai & Zheng, Junjun & Ma, Gang & Jiao, Yangyang, 2023. "Analyzing the evolution trend of energy conservation and carbon reduction in transportation with promoting electrification in China," Energy, Elsevier, vol. 263(PD).
    14. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    15. Chemirbayeva Mergul Berikhanovna & Bekmukhametova Assemgul Bauirzhanovna & Niyetalina Gaukhar Kudaibergenovna & Bodaukhan Gulbagda & Yerkulova Gulmira Serikovna, 2023. "The Influence of Green Credit Policy on Green Innovation and Transformation and Upgradation as a Function of Corporate Diversification: The Case of Kazakhstan," Economies, MDPI, vol. 11(8), pages 1-18, August.
    16. Lei Ding & Xuejuan Fang, 2022. "Spatial–temporal distribution of air-pollution-intensive industries and its social-economic driving mechanism in Zhejiang Province, China: a framework of spatial econometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1681-1712, February.
    17. Jingjing Wang & Yuhan Pan & Decai Tang, 2024. "Environmental Protection Tax Reform in China: A Catalyst or a Barrier to Total Factor Productivity? An Analysis through a Quasi-Natural Experiment," Sustainability, MDPI, vol. 16(16), pages 1-20, August.
    18. Meng Ding & Hui Zeng, 2022. "Multi-Agent Evolutionary Game in the Recycling Utilization of Sulfate-Rich Wastewater," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    19. Xiu Liu & Zhuo He & Zixin Deng & Sandeep Poddar, 2024. "Analysis of Spatiotemporal Disparities and Spatial Spillover Effect of a Low-Carbon Economy in Chinese Provinces Under Green Technology Innovation," Sustainability, MDPI, vol. 16(21), pages 1-19, October.
    20. Sumin Hu & Qi Zhu & Xia Zhao & Ziyue Xu, 2023. "Digital Finance and Corporate Sustainability Performance: Promoting or Restricting? Evidence from China’s Listed Companies," Sustainability, MDPI, vol. 15(13), pages 1-16, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5760-:d:1208846. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.