IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v105y2025ics1057521925004740.html
   My bibliography  Save this article

Digital ripples: The impact of customers' digital transformation on the financing constraints of suppliers

Author

Listed:
  • Li, Qinyang
  • Li, Mingrui
  • Li, Mengru
  • Li, Tao

Abstract

The wave of digitization is sweeping across the world, boosting the transformation of various industries and bringing unprecedented new opportunities for firms. This paper examines the impact of digital transformation of customer firms on the financing constraints of suppliers. We find a significant spillover effect in the supply chain that the digital transformation degree of customer firms is negatively correlated with the financing constraints of suppliers when the comprehensive performance of customers is better. Furthermore, this effect is more evident for suppliers that are smaller, with shorter years of listing, and located in regions with fewer banks and greater distances from their customers. Additionally, the impact is more pronounced for customers that are state-owned and belong to high-tech industries. The mechanism test shows that the digital transformation of customers mainly alleviates the financing constraints of suppliers by reducing the information asymmetry of customer firms, increasing the credit availability and lowering the private equity placements discounts of suppliers. Additionally, the digital transformation of customers significantly reduces the cost of debt financing for suppliers. These findings enrich research on financing constraints and digital transformation, as well as provide important implications for companies within the supply chain on how to mitigate financing constraints through digital transformation.

Suggested Citation

  • Li, Qinyang & Li, Mingrui & Li, Mengru & Li, Tao, 2025. "Digital ripples: The impact of customers' digital transformation on the financing constraints of suppliers," International Review of Financial Analysis, Elsevier, vol. 105(C).
  • Handle: RePEc:eee:finana:v:105:y:2025:i:c:s1057521925004740
    DOI: 10.1016/j.irfa.2025.104387
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925004740
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104387?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:eee:finana:v:105:y:2025:i:c:s1057521925004740. 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.