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ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 8 - 2024 |
doi: 10.3389/fsufs.2024.1510328
This article is part of the Research Topic Harnessing Digital Innovation for Sustainable Agricultural Development View all 4 articles
The Impact of Data Elements on Agricultural Economic Resilience: A Dynamic QCA Analysis
Provisionally accepted- 1 Guilin University of Technology, Guilin, China
- 2 Central South University, Changsha, Hunan Province, China
Enhancing agricultural economic resilience is a critical component for ensuring sustainable agricultural development and promoting agricultural modernization. To explore the diverse influencing factors and effective pathways for enhancing agricultural economic resilience in the context of digital transformation in China, this study constructs a theoretical model of data elements empowering agricultural economic resilience based on the "Technology-Organization-Environment" framework. Using dynamic QCA methods, panel data from 30 provinces and municipalities in China from 2012 to 2022 are analyzed to configure the factors influencing agricultural economic resilience. The results indicate that no single variable constitutes a necessary condition for high agricultural economic resilience. With the introduction of time effects, it is found that digital inclusive finance and the necessity of agricultural industry digitalization have been increasing year by year. The patterns of enhancing agricultural economic resilience can be summarized as follows: the market-driven industrial technological innovation ecosystem optimization model, the TOE-enabled agricultural digital development model and the government-led cultural promotion of agricultural digital transformation model, all showing significant temporal and regional effects.
Keywords: agricultural economic resilience, Data elements, TOE framework, agricultural industry digitization, dynamic QCA
Received: 12 Oct 2024; Accepted: 26 Dec 2024.
Copyright: © 2024 Luo, Zuo, Song and Tang. 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:
Shanxiang Zuo, Guilin University of Technology, Guilin, China
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