IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v204y2026ics0965856425004513.html

Has the special license plate promoted the adoption of electric vehicles? A quasi-natural experiment from China

Author

Listed:
  • Yu, Xiao-Chen
  • Lin, Sheng
  • Hu, Wenhao
  • Xie, Bai-Chen

Abstract

The implementation of incentive policies has proved its importance in promoting the adoption of electric vehicles (EVs). In response, China’s government introduced a series of preferential measures aimed at speeding up the widespread adoption of EVs to replace traditional internal combustion engine vehicles (ICEVs). This study employs a panel data of 248 cities across China, spanning the period from 2016 to 2019, and utilizes a Difference-in-Differences (DID) approach to examine the impact of the Special License Plate for New Energy Vehicles (SPNEV) policy on the promotion of EVs. The results show that the SPNEV has a significant positive impact on EV sales among both individuals and institutional owners, with estimated increase in sales of 37.8% and 35%, respectively. Notably, the policy is more pronounced in cities subject to driving restrictions on ICEVs and those experiencing heavy traffic pressure. Furthermore, the findings suggest that the SPNEV plays a beneficial role in cities characterized by lower temperatures, second-tier and third-tier economic development levels, and smaller urban populations. These findings contribute meaningfully to the existing body of empirical evidence on the efficacy of incentives in facilitating low-carbon transformation in the transportation sector across diversified national settings.

Suggested Citation

  • Yu, Xiao-Chen & Lin, Sheng & Hu, Wenhao & Xie, Bai-Chen, 2026. "Has the special license plate promoted the adoption of electric vehicles? A quasi-natural experiment from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 204(C).
  • Handle: RePEc:eee:transa:v:204:y:2026:i:c:s0965856425004513
    DOI: 10.1016/j.tra.2025.104818
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856425004513
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2025.104818?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:transa:v:204:y:2026:i:c:s0965856425004513. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.