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Competition and cooperation mechanism of new energy vehicle policies in China’s key regions

Author

Listed:
  • Bi Fan

    (Shenzhen University)

  • Zhibin Wen

    (Shenzhen University)

  • Quande Qin

    (Shenzhen University
    Macao Polytechnic University)

Abstract

New energy vehicles (NEVs) are crucial in addressing environmental pollution and energy shortages. Their widespread adoption has been hindered by challenges such as inadequate infrastructure and limited market competitiveness. To promote the development of NEV, local governments in China have implemented various policies. However, resource constraints within regions have created inherent conflicts among policy objectives, while regional disparities have emerged due to differences in development status and characteristics. This study aims to model the complex competitive and cooperative mechanisms among different NEV policy objectives and compare their variations across three key regions: the Beijing-Tianjin-Hebei (BTH), Guangdong-Guangxi-Fujian (GGF), and Yangtze-River-Delta (YRD). Firstly, topic model Latent Dirichlet Allocation is applied on 857 local NEV policies from 2010 to 2021, identifying six core policy objectives, namely production technology, infrastructure, financial support, demonstration, industrial management and environmental protection. Then, the Lotka-Volterra model is employed to examine competitive and cooperative mechanism among these policy objectives. Key findings are: (1) infrastructure policies prevail across all regions; (2) regulation policies exhibit a comparative advantage in the BTH region, while implementation policies dominate in the GGF region and promotion policies in the YRD region; (3) cooperation among objectives is primarily observed in the BTH region, whereas competition plays a more dominant role in the other regions. This study fills a previous research gap and provides insights for researchers and policymakers, highlighting the development of customized strategies that consider the unique characteristics and requirements of each region.

Suggested Citation

  • Bi Fan & Zhibin Wen & Quande Qin, 2024. "Competition and cooperation mechanism of new energy vehicle policies in China’s key regions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04167-y
    DOI: 10.1057/s41599-024-04167-y
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    References listed on IDEAS

    as
    1. Ning Hu & Kee Chye Ho & Pik Shy Fan, 2024. "Malaysian Chinese folk beliefs on Facebook based on LDA topic modelling," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    2. Martin Kalthaus & Jiatang Sun, 2021. "Determinants of Electric Vehicle Diffusion in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 473-510, November.
    3. Tan, Ruipeng & Tang, Di & Lin, Boqiang, 2018. "Policy impact of new energy vehicles promotion on air quality in Chinese cities," Energy Policy, Elsevier, vol. 118(C), pages 33-40.
    4. Panle Jia Barwick & Hyuk-Soo Kwon & Shanjun Li, 2024. "Attribute-based Subsidies and Market Power: an Application to Electric Vehicles," NBER Working Papers 32264, National Bureau of Economic Research, Inc.
    5. Liu, Qin & Wen, Xiaonan & Cao, Qinwei, 2023. "Multi-objective development path evolution of new energy vehicle policy driven by big data: From the perspective of economic-ecological-social," Applied Energy, Elsevier, vol. 341(C).
    6. Weixing Liu & Hongtao Yi, 2020. "What Affects the Diffusion of New Energy Vehicles Financial Subsidy Policy? Evidence from Chinese Cities," IJERPH, MDPI, vol. 17(3), pages 1-15, January.
    7. Huping Shang & Hongmei Liu & Wei Liu, 2024. "Unveiling the origins of non-performance-oriented behavior in China’s local governments: a game theory perspective on the performance-based promotion system," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    8. Shanjun Li & Xianglei Zhu & Yiding Ma & Fan Zhang & Hui Zhou, 2022. "The Role of Government in the Market for Electric Vehicles: Evidence from China," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(2), pages 450-485, March.
    9. Lin, Boqiang & Shi, Lei, 2022. "Do environmental quality and policy changes affect the evolution of consumers’ intentions to buy new energy vehicles," Applied Energy, Elsevier, vol. 310(C).
    10. Du, Jiuyu & Ouyang, Danhua, 2017. "Progress of Chinese electric vehicles industrialization in 2015: A review," Applied Energy, Elsevier, vol. 188(C), pages 529-546.
    11. Meckling, Jonas & Nahm, Jonas, 2019. "The politics of technology bans: Industrial policy competition and green goals for the auto industry," Energy Policy, Elsevier, vol. 126(C), pages 470-479.
    12. Liu, Zongwei & Hao, Han & Cheng, Xiang & Zhao, Fuquan, 2018. "Critical issues of energy efficient and new energy vehicles development in China," Energy Policy, Elsevier, vol. 115(C), pages 92-97.
    13. 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).
    14. Wen-zhong Shi & Fanxin Zeng & Anshu Zhang & Chengzhuo Tong & Xiaoqi Shen & Zhewei Liu & Zhicheng Shi, 2022. "Online public opinion during the first epidemic wave of COVID-19 in China based on Weibo data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

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