IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i7p3394-d1910767.html

Rent Extraction or Collaborative Financing? Digital Spillovers of Major Customers on Supplier Trade Credit Scale and Quality

Author

Listed:
  • Shang Gao

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Feng Ding

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jiaxuan Li

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Qiliang Liu

    (School of Economics & Management, Tongji University, Shanghai 200092, China)

Abstract

Does the digital transformation of major customers foster collaborative financing for upstream suppliers, or does it amplify their bargaining power for rent extraction? This study investigates these competing hypotheses by examining the digital spillovers from major customers to supplier trade credit. Using a unique hand-collected dataset linking Chinese listed suppliers with their top five customers by accounts receivable from 2010 to 2021, we document a “dual enhancement effect”: major customer digitalization significantly increases trade credit scale and improves trade credit quality, effectively rejecting the rent extraction hypothesis. Specifically, trade credit quality is reflected in lower bad debt provision ratios, shorter receivable aging, and lower material default risk. Mechanism tests suggest that improved information transparency and stronger customer market competitiveness are important channels through which digitalization affects supplier trade credit. Cross-sectional analyses show that these effects are more pronounced for non-state-owned or low-asset-specificity suppliers, and for customers with higher asset specificity or lower importance. After ruling out alternative explanations, we further find that this digital spillover strengthens supply chain resilience. Overall, the evidence is more consistent with the collaborative financing view than with the rent extraction view, suggesting that major customer digitalization may help foster more sustainable and cooperative financing relationships within supply chains.

Suggested Citation

  • Shang Gao & Feng Ding & Jiaxuan Li & Qiliang Liu, 2026. "Rent Extraction or Collaborative Financing? Digital Spillovers of Major Customers on Supplier Trade Credit Scale and Quality," Sustainability, MDPI, vol. 18(7), pages 1-39, March.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:7:p:3394-:d:1910767
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/7/3394/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/7/3394/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2026:i:7:p:3394-:d:1910767. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.