IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v69y2024ics0275531924000114.html
   My bibliography  Save this article

The effect of digitalized tax administration on stock price crash risk: A natural experiment in China

Author

Listed:
  • Wang, Deli
  • Shi, Yaya
  • Li, Qian

Abstract

Using a digitalization event of tax governance (the Golden Tax Project III (GTP III)) as a natural experiment, this paper exploits the staggered DID method to investigate the impact of digitalized tax administration on firm-specific future stock price crash risk (SPCR) in China. Our results reveal that the GTP III appears to reduce SPCR. Our findings highlight that the digitalized tax administration has a more prominent association with SPCR for local state-owned enterprises (compared to central state-owned enterprises) and privately controlled enterprises with political connections (compared to privately controlled enterprises without political connections). We also find that the mitigation effect of digitalized tax administration on SPCR is only significant in regions with relatively developed digital economies, for firms managed by senior executives without any financial backgrounds, and firms that receive less media attention. Further investigation reveals that the digitalized tax administration helps to reduce SPCR through the mechanism of tax avoidance, rent-seeking and information transparency.

Suggested Citation

  • Wang, Deli & Shi, Yaya & Li, Qian, 2024. "The effect of digitalized tax administration on stock price crash risk: A natural experiment in China," Research in International Business and Finance, Elsevier, vol. 69(C).
  • Handle: RePEc:eee:riibaf:v:69:y:2024:i:c:s0275531924000114
    DOI: 10.1016/j.ribaf.2024.102219
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924000114
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2024.102219?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:riibaf:v:69:y:2024:i:c:s0275531924000114. 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/ribaf .

    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.