IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v67y2024ipas1544612324007682.html
   My bibliography  Save this article

Monetary policy, corporate credit and digital transformation

Author

Listed:
  • Jiang, Ruishi
  • Ruan, Jia
  • Long, Keru
  • Ni, Jianhui

Abstract

This paper investigates whether monetary policy and digital transformation of enterprises can increase corporate credit, using Chinese A-share listed companies in Shanghai and Shenzhen from 2014 to 2021. The results show that loose monetary policy can significantly increase corporate credit, while the higher the degree of enterprise digital transformation, the less favorable loose monetary policy is to increase corporate credit. Meanwhile, the heterogeneity analysis finds that the higher the degree of digital transformation of non-state-owned enterprises relative to state-owned enterprises, the more unfavorable loose monetary policy is in increasing corporate credit. The enterprise liquidity ratio is larger, the asset-liability ratio is smaller, and the size is moderate, the digital transformation of enterprises is more conducive to increasing corporate credit.

Suggested Citation

  • Jiang, Ruishi & Ruan, Jia & Long, Keru & Ni, Jianhui, 2024. "Monetary policy, corporate credit and digital transformation," Finance Research Letters, Elsevier, vol. 67(PA).
    • Handle: RePEc:eee:finlet:v:67:y:2024:i:pa:s1544612324007682
    DOI: 10.1016/j.frl.2024.105738
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324007682
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2024.105738?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:finlet:v:67:y:2024:i:pa:s1544612324007682. 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/frl .

    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.