IDEAS home Printed from https://ideas.repec.org/a/cup/jbcoan/v13y2022i1p1-19_1.html
   My bibliography  Save this article

Is California’s Electric Vehicle Rebate Regressive? A Distributional Analysis

Author

Listed:
  • Ku, Arthur L.
  • Graham, John D.

Abstract

Economic incentives are in widespread use to stimulate the development of the electric vehicle industry. However, the distributional effects of such incentives have been subject to little empirical inquiry. This study examines how California’s electric vehicle rebate program impacts different income groups financially. Two effects are considered: the income distribution of rebate beneficiaries and the income distribution of the rebate payers. The results reveal that the overall net financial impacts of the electric vehicle rebate program are regressive: the benefit distribution is highly regressive while the cost distribution is slightly progressive. Recent efforts to improve the fairness of the rebate program do not alter our findings. Policy implications are discussed.

Suggested Citation

  • Ku, Arthur L. & Graham, John D., 2022. "Is California’s Electric Vehicle Rebate Regressive? A Distributional Analysis," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 13(1), pages 1-19, March.
    • Handle: RePEc:cup:jbcoan:v:13:y:2022:i:1:p:1-19_1
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S2194588822000021/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Jiaxin & Mattauch, Linus, 2022. "When standards have better distributional consequences than carbon taxes," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).

    More about this item

    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:cup:jbcoan:v:13:y:2022:i:1:p:1-19_1. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/bca .

    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.