IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v139y2024ics0264999324001664.html
   My bibliography  Save this article

Does digital transformation promote global value chain upgrading? Evidence from Chinese manufacturing firms

Author

Listed:
  • Feng, Suling
  • Zhang, Rong
  • Di, Danyang
  • Li, Guoxiang

Abstract

Enterprises in developing countries previously entered the lower end of the global value chain (GVC) by leveraging low-cost production factors. Digital transformation offers these enterprises opportunities to move upstream in the GVC. While the literature highlights the benefits of digital technology in enhancing innovation, productivity, and resource utilization, comparatively limited exploration of the relationship between digital transformation and GVC upgrading has occurred. We utilize data on Chinese listed manufacturing firms from 2007 to 2016 to investigate the impact of digital transformation on their positioning in the GVC. The results show that digital transformation significantly enhances manufacturing firms' positions in the GVC, with skill-biased technical change playing a positive role. Our findings indicate the significance of digitalization and talent-management strategies for firms aiming to capture greater value in the GVC.

Suggested Citation

  • Feng, Suling & Zhang, Rong & Di, Danyang & Li, Guoxiang, 2024. "Does digital transformation promote global value chain upgrading? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:ecmode:v:139:y:2024:i:c:s0264999324001664
    DOI: 10.1016/j.econmod.2024.106810
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999324001664
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2024.106810?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:ecmode:v:139:y:2024:i:c:s0264999324001664. 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/inca/30411 .

    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.