IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v55y2023i40p4625-4641.html
   My bibliography  Save this article

Economic policy uncertainty and corporate digital transformation: evidence from China

Author

Listed:
  • Zhuo Cheng
  • Tajul Ariffin Masron

Abstract

Digital transformation refers to the process of utilizing digital technology to develop new or enhance current business processes, organizational culture, and customer experiences to satisfy changing business and market requirements. Taking all non-financial Chinese A-share firms from 2010 to 2018 as the research sample, we investigate the impact of Economic Policy Uncertainty (EPU) on corporate digital transformation. Evidence shows that EPU has a significantly positive impact on corporate digital transformation. This result still holds after a series of robustness tests, such as employing alternative measures of key variables, controlling for various fixed effects, including possibly omitted variables and adopting estimation of instrumental variables in the 2SLS approach. In addition, market competition provides the primary channel through which EPU influences corporate digital transformation. Finally, the above EPU effect is more pronounced in firms with small size, non-SOEs, and firms with weak corporate governance. Overall, our results provide a novel explanation for the behaviour of corporate digital transformation in the emerging capital markets.

Suggested Citation

  • Zhuo Cheng & Tajul Ariffin Masron, 2023. "Economic policy uncertainty and corporate digital transformation: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 55(40), pages 4625-4641, August.
  • Handle: RePEc:taf:applec:v:55:y:2023:i:40:p:4625-4641
    DOI: 10.1080/00036846.2022.2130148
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2022.2130148
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2022.2130148?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mo Chen & Xuhua Hu & Jijian Zhang & Zhe Xu & Guang Yang & Zenan Sun, 2023. "Are Firms More Willing to Seek Green Technology Innovation in the Context of Economic Policy Uncertainty? —Evidence from China," Sustainability, MDPI, vol. 15(19), pages 1-24, September.

    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:taf:applec:v:55:y:2023:i:40:p:4625-4641. 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/RAEC20 .

    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.