IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v103y2025ics105752192500287x.html
   My bibliography  Save this article

Tax neutrality and digital transformation of private enterprises: From the perspective of human capital structure adjustment

Author

Listed:
  • Zhou, Jiezheng
  • Liu, Xuexin
  • Wang, Zhe

Abstract

Private firms are increasingly adopting digital transformation as a critical future development trend. Examining the factors that promote business digital transformation through the lens of policy instruments is crucial. Using data from A-share nonfinancial private listed companies from 2007 to 2021, this study empirically examines the impact of tax neutrality on the digital transformation of private organizations and its mechanism. Tax neutrality has been shown to significantly improve the digital transformation of private businesses, even after accounting for endogeneity and under numerous robustness tests. Tax neutrality aids private firms' digital transformation by improving human capital structure, boosting employee education, and increasing the number of nonroutine, highly trained personnel. It also has a greater impact on promoting the digital transformation of private enterprises in regions with higher levels of marketization, fiercer industry competition, and more severe financing constraints. Furthermore, this study demonstrates an interacting relationship between tax neutrality and government subsidies. The findings build on prior research on the factors influencing digital transformation in private enterprises. They also confirm the positive impact of tax neutrality and contribute to studying how tax policies affect private enterprises' microeconomic behavior.

Suggested Citation

  • Zhou, Jiezheng & Liu, Xuexin & Wang, Zhe, 2025. "Tax neutrality and digital transformation of private enterprises: From the perspective of human capital structure adjustment," International Review of Financial Analysis, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:finana:v:103:y:2025:i:c:s105752192500287x
    DOI: 10.1016/j.irfa.2025.104200
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S105752192500287X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104200?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:finana:v:103:y:2025:i:c:s105752192500287x. 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/620166 .

    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.