ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Social Movements, Institutions and Governance
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1676462
This article is part of the Research TopicDigital Agricultural Technologies for Improving Food Security OutcomesView all 7 articles
Digital Payments Enhance Both Formal and Informal Credit Access for Rural Households: Evidence from China
Provisionally accepted- 1Beijing Union University, Beijing, China
- 2China Agricultural University, Beijing, China
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While digital finance is recognized for enhancing financial inclusion, its micro-level mechanisms—particularly through digital payments—remain underexplored. This study demonstrates how adopting digital payments significantly enhances Chinese farmers' ability to obtain credit from both sources. Analyzing data from 7,522 households across diverse regions (2017–2019, 2021–2023) using robust methods to address endogeneity and selection bias, we find that digital payment adoption significantly increases farmers' credit access overall. The findings indicate that digital payments alleviate conditional and price exclusion in formal credit markets, improve farmers' credit knowledge, and reduce the psychological barriers of credit-constrained borrowers. Furthermore, digital payment adoption enhances informal credit capacity, providing farmers with more funding options. The digital payments enhanced farmers' satisfaction with accessing credit, exerting a positive influence on both credit intended for agricultural production and credit intended for non-agricultural purposes. The results suggest that digital payment adoption not only enhances formal credit access but also strengthens informal credit networks, offering farmers greater flexibility in meeting their financial needs. Policymakers should prioritize the development of digital financial infrastructure and promote financial literacy to maximize the benefits of digital finance for rural households.
Keywords: Digital payments, rural credit access, Formal credit, Informal credit, credit exclusion, unconfident borrowers
Received: 30 Jul 2025; Accepted: 13 Oct 2025.
Copyright: © 2025 Chen and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Baozhen Chen, chenbaozhen10_19@163.com
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