IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v30y2023i7p871-874.html
   My bibliography  Save this article

Does digital finance impact debt concentration of Chinese firms?

Author

Listed:
  • Caiyun Chen
  • Minghuan Li

Abstract

We investigate the relation between digital finance and debt concentration in capital structures of firms. Measuring digital finance with a comprehensive index, we show that digital finance is indeed related to more concentrated debt structures of firms. Turning to the sub-indices of digital finance, coverage breadth and usage depth of digital finance increase firms’ debt concentration, while digitization degree is not a central concern for firms. The link between digital finance and debt concentration is stronger for companies with high level of information asymmetry and high default risk.

Suggested Citation

  • Caiyun Chen & Minghuan Li, 2023. "Does digital finance impact debt concentration of Chinese firms?," Applied Economics Letters, Taylor & Francis Journals, vol. 30(7), pages 871-874, April.
  • Handle: RePEc:taf:apeclt:v:30:y:2023:i:7:p:871-874
    DOI: 10.1080/13504851.2022.2027330
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2022.2027330
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2022.2027330?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. Ren, Xiaohang & Zeng, Gudian & Sun, Xianming, 2023. "The peer effect of digital transformation and corporate environmental performance: Empirical evidence from listed companies in China," Economic Modelling, Elsevier, vol. 128(C).

    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:apeclt:v:30:y:2023:i:7:p:871-874. 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/RAEL20 .

    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.