ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1594910
Analysis of tripartite evolutionary game in the digital transformation of China's rural industries
Provisionally accepted- Jiangxi Science and Technology Normal University, Nanchang, China
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Promoting the digital transformation of rural industry is a necessary path for the modernisation and development of agriculture and rural areas. Based on the evolutionary game theory, this paper constructs a tripartite evolutionary game model of the government, digital technology suppliers, and rural industry subjects, analyses the evolutionary stability strategies and influencing factors of each subject, and carries out numerical simulation analysis using MATLAB.The study found that: (1) The strategy choices of each game subject affect each other. The probability of the government's "encourage" strategy decreases with the increase of the probability of the digital technology supplier's active "supply" or the probability of the rural industry subject's active "adopt". Similarly, a higher "encourage" probability by the government and higher "adopt" probability by the rural industrial entities showed a higher "supply" probability by the digital technology providers. (2) The size of the initial probability and the change of each parameter has an important impact on the choice of behavioural strategy in the main body of the game. The evolutionary stability strategy eventually tends to the government taking "encourage", digital technology suppliers taking "supply", rural industry subjects taking "adopt". This paper finally puts forward relevant suggestions from the government, digital technology suppliers and rural industrial subjects.
Keywords: Rural industry, digital transformation, tripartite evolutionary game, China, QCA
Received: 17 Mar 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 WEIWEI. 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: XU WEIWEI, Jiangxi Science and Technology Normal University, Nanchang, China
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