IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v36y2025i4p2027-2048.html
   My bibliography  Save this article

Multi-scale analysis of the co-movement between China's new energy vehicle industry and Tesla: Evidence from capital market

Author

Listed:
  • Yuanyuan Ma
  • Shaodong Duan
  • Pingping Zhang
  • Tianjie Zhang

Abstract

China is currently the world's largest new energy vehicle market, and the development of its new energy vehicles is crucial to the sustainable development of mankind. As a leader in the new energy vehicle industry, Tesla's entry into the Chinese market has an important impact on its new energy vehicle industry, and the study of the relationship between the two is of great significance in promoting the development of China's new energy vehicle industry. Therefore, we analyzed the complex relationship between Tesla and China's new energy vehicle industry from 2013 to 2022 based on the stock market perspective using modal decomposition, Maximum mutual information coefficient, and transfer entropy. Mutual information coefficient results show that Tesla has stronger co-movements with China's New Energy Vehicle Manufacturing sector, and its strength is highest in the medium- and long-term time scales, up to 0.196 and 0.529, respectively. whereas the transfer entropy results show that Tesla has a stronger information transfer effect on the Vehicle Manufacturing sector and Charging Pile sector than on the New Energy Vehicles Battery sector and New Energy Vehicles Parts sector. However, in general, Tesla's information overflow to the whole Chinese new energy vehicle industry is on the rise. The Chinese government can appropriately give Tesla certain favorable policies and encourage Chinese enterprises to cooperate with it, giving full play to Tesla's catfish effect and technology demonstration effect, and then promoting the further development of China's new energy vehicle industry.

Suggested Citation

  • Yuanyuan Ma & Shaodong Duan & Pingping Zhang & Tianjie Zhang, 2025. "Multi-scale analysis of the co-movement between China's new energy vehicle industry and Tesla: Evidence from capital market," Energy & Environment, , vol. 36(4), pages 2027-2048, June.
  • Handle: RePEc:sae:engenv:v:36:y:2025:i:4:p:2027-2048
    DOI: 10.1177/0958305X231204025
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X231204025
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0958305X231204025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:engenv:v:36:y:2025:i:4:p:2027-2048. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: SAGE Publications (email available below). General contact details of provider: .

    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.