IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v102y2025ics0038012125001806.html
   My bibliography  Save this article

Impact mechanism and contribution measurement of digital transformation on scale expansion of Chinese enterprises

Author

Listed:
  • Tian, Meng
  • Wang, Yiwei
  • Han, Lei
  • Yang, Zhuowen

Abstract

Accelerating digital transformation (DT) and facilitating reasonable enterprise scale expansion (ESE) is critical for integrating the digital and traditional economies. This paper examines the scale expansion characteristics of Chinese A-share listed enterprises and constructs a “two-level, four-category” cost model to analyze the theoretical relationship between DT and ESE. The findings reveal that DT significantly promotes the asymmetrical expansion of the enterprise employee and revenue scales, with revenue scale expansion being more prominent. Heterogeneity tests show that DT has a stronger impact on large enterprises, non-high-tech enterprises, and those in developed regions, leading to increased scale differentiation. Mechanism and economic consequence analysis highlight that DT reduces external transaction costs, facilitating ESE, while enhanced market share improves production efficiency. This paper provides theoretical and empirical insights into evolving corporate growth patterns in the digital economy and suggests policy recommendations for leveraging digital transformation to promote employment growth.

Suggested Citation

  • Tian, Meng & Wang, Yiwei & Han, Lei & Yang, Zhuowen, 2025. "Impact mechanism and contribution measurement of digital transformation on scale expansion of Chinese enterprises," Socio-Economic Planning Sciences, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:soceps:v:102:y:2025:i:c:s0038012125001806
    DOI: 10.1016/j.seps.2025.102331
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012125001806
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2025.102331?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:soceps:v:102:y:2025:i:c:s0038012125001806. 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/seps .

    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.