Author
Listed:
- Zihua Qin
(College of Finance, Lanzhou University of Finance and Economics, Lanzhou 730020, China)
- Zhaoyu Jing
(College of Finance, Lanzhou University of Finance and Economics, Lanzhou 730020, China)
Abstract
The rapid proliferation of fintech has created unprecedented opportunities for enhancing bank credit-risk management and promoting financial sustainability. Using an unbalanced panel dataset of Chinese commercial banks spanning 2013–2023, we construct a bank-specific fintech index through text mining of annual reports combined with an entropy-weighted methodology, and systematically examine the relationship between fintech adoption and credit risk. Our empirical findings reveal that fintech adoption significantly mitigates credit risk, reducing the non-performing loan ratio by an average of 0.9 percentage points. This effect is more pronounced among non-state-owned banks and in regions with less developed service sectors. Mechanism analysis further demonstrates that financial sustainability is a critical transmission mechanism: fintech mitigates credit risk by improving both cost efficiency and asset efficiency, thereby enhancing banks’ economic resilience. Additionally, we find that regional green development is a powerful moderator that significantly amplifies the risk-reducing impact of fintech. These findings offer robust empirical evidence for guiding commercial banks’ digital transformation strategies and informing regulators’ green finance policy formulation. Our results underscore the strategic importance of fintech investment in building more resilient and sustainable banking systems.
Suggested Citation
Zihua Qin & Zhaoyu Jing, 2025.
"Fintech Adoption and Credit Risk Mitigation: Evidence from Chinese Commercial Banks,"
Sustainability, MDPI, vol. 17(22), pages 1-21, November.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:22:p:10294-:d:1796762
Download full text from publisher
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:17:y:2025:i:22:p:10294-:d:1796762. 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.