IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v60y2024i6p1265-1280.html
   My bibliography  Save this article

The Impacts of Digital Transformation on Labor Income Share: Evidence from China

Author

Listed:
  • Xudong Li
  • Gen-Fu Feng
  • Wai Yan Shum
  • Kam Hung Chui

Abstract

This paper uses the data of Chinese A-share listed companies to study whether enterprise digital transformation will affect the labor income share. The research results show that enterprise digital transformation greatly increasing the labor income share, and our inferences unchanged after a wide battery of robustness tests. Further studies show that the mechanism of digital transformation to increase labor income share is to expand the scale of employment and increase the proportion of highly skilled labor in the total labor force. Subsample study shows that digital transformation only raises the labor income share of larger scale and higher competitive position enterprises. The research can provide policy references for developing digital economy and improving development quality.

Suggested Citation

  • Xudong Li & Gen-Fu Feng & Wai Yan Shum & Kam Hung Chui, 2024. "The Impacts of Digital Transformation on Labor Income Share: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(6), pages 1265-1280, May.
  • Handle: RePEc:mes:emfitr:v:60:y:2024:i:6:p:1265-1280
    DOI: 10.1080/1540496X.2023.2273996
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2023.2273996
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2023.2273996?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.

    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:mes:emfitr:v:60:y:2024:i:6:p:1265-1280. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.