ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Climate-Smart Food Systems
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1612111
How does digital inclusive finance improve the climate resilience of food production?
Provisionally accepted
Liangcan Liu
Xiang Li*- School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China
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Developing climate resilient agriculture is particularly important to reduce food security and climate risks in the context of frequent climate extremes disrupting food production systems. Based on the provincial panel data of China from 2011 to 2022, this paper uses dual machine learning model to explore the effect of digital inclusive finance (DIF) on climate resilience of food production (CRFP) and its transmission mechanism. The results show that DIF can significantly improve CRFP, and the conclusion is still valid after endogeneity and robustness tests. The mechanism of action shows that DIF can enhance CRFP by promoting agricultural technology innovation, agricultural industry agglomeration and agricultural socialized services. Heterogeneity analysis show that DIF has a significant effect on promoting CRFP in the eastern region, the main grain-producing areas and the regions with high digital infrastructure. Therefore, it is necessary to strengthen the construction of digital infrastructure and improve the ecological compensation mechanism to give full play to the role of DIF in improving the climate resilience of grain production. This study provides evidence-based support for the realization of climate-smart agriculture, with policy implications for cracking the food crisis trap in low-and middleincome countries.
Keywords: Digital inclusive finance, food production, Climate resilience, machine learning, Agricultural industry agglomeration
Received: 16 Apr 2025; Accepted: 24 Jul 2025.
Copyright: © 2025 Liu and Li. 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: Xiang Li, School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China
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