Research on the Evolutionary Game Theory of Integrating Data Mining and Motivating Social Capital to Participate in the Sichuan Shaanxi Revolutionary Old Area under the Rural Revitalization Strategy

Abstract

The rural revitalization strategy has become a key link for China to expand poverty alleviation achievements and achieve common prosperity. Taking the revolutionary old areas of Sichuan as an example, data mining techniques are used to analyze county-level cases. Based on evolutionary game theory, a game model is constructed for the participation of local government, social capital, and residents of the revolutionary old areas in evolution. In the context of rural revitalization, numerical simulation research is conducted on the three party strategies and evolution conditions, as well as the behavioral evolution process under different strategy combinations. Based on the emergence of a large number of cases, selectively integrating data mining techniques can provide corresponding countermeasures and suggestions for local governments to protect local resources and environment, and achieve sustainable green development under the premise of rural revitalization.