IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v235y2025ics0167268125001696.html
   My bibliography  Save this article

Minimum wage and labor self-funded training: evidence from China

Author

Listed:
  • Ma, Shuang
  • Mo, Baoling
  • Meng, Xiaoyu

Abstract

We examine the impact of minimum wage increases on labor self-funded training by first constructing a theoretical model that explores the effects under both perfectly and imperfectly competitive market conditions. We then empirically analyze the impact using data on training enterprise registrations and household spending on training. Theoretically, we find an increase in the minimum wage is expected to suppress demand for low-skilled labor, leading affected workers to engage in self-funded training to compete for a limited number of job positions. Empirically, a minimum wage increase significantly boosts the number of newly registered training enterprises and household expenditures on skill training. Mechanism analysis reveals that a higher minimum wage increases labor costs for enterprises, leading them to raise skill requirements during recruitment, thereby encouraging job market participants to pursue self-funded skill training.

Suggested Citation

  • Ma, Shuang & Mo, Baoling & Meng, Xiaoyu, 2025. "Minimum wage and labor self-funded training: evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 235(C).
  • Handle: RePEc:eee:jeborg:v:235:y:2025:i:c:s0167268125001696
    DOI: 10.1016/j.jebo.2025.107050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268125001696
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2025.107050?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 search for a different version of it.

    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:jeborg:v:235:y:2025:i:c:s0167268125001696. 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/locate/jebo .

    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.