IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v95y2026ics1544612326002655.html

Skill premium, supply chain finance, and wage rigidity in China’s manufacturing firms

Author

Listed:
  • Gao, Wei
  • Xu, Jianzhong
  • Wang, Jinshi
  • Zhou, Lingyue

Abstract

Using panel data from Chinese listed manufacturing firms spanning 2013–2023, this paper employs econometric methods including two-way fixed effects models, quantile regression, and instrumental variable approaches to systematically investigate the intrinsic relationship among skill premium, supply chain finance (SCF), and wage rigidity in manufacturing firms.. The empirical results reveal that SCF significantly enhances wage rigidity, which varies. Heterogeneity is evident in the effect of SCF on firms with high and low proportions of independent directors, and the skill premium has a moderating influence on the relationship between SCF and wage rigidity. The findings enrich theoretical research in manufacturing wage rigidity and SCF and provide policy insights for human resource management and corporate governance practices.

Suggested Citation

  • Gao, Wei & Xu, Jianzhong & Wang, Jinshi & Zhou, Lingyue, 2026. "Skill premium, supply chain finance, and wage rigidity in China’s manufacturing firms," Finance Research Letters, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:finlet:v:95:y:2026:i:c:s1544612326002655
    DOI: 10.1016/j.frl.2026.109734
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326002655
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2026.109734?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:finlet:v:95:y:2026:i:c:s1544612326002655. 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/frl .

    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.