Spatio-temporal Distribution and Configuration Influencing Factors of Rural Economic Resilience
TANG Xin1, XIE Shi-lei2
1. Business School, Hunan Institute of Technology, Hengyang, Hunan, 421002; 2. School of Accounting, Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018
Abstract:Improving the resilience of rural economy is a prerequisite for the comprehensive revitalization of rural areas. Taking elasticity, adaptability and transformability as the benchmark dimensions, the evaluating indicator system of rural economic resilience is constructed and the spatial-temporal distribution characteristics of rural economic resilience in different years at provincial level are analyzed. The study finds that there is regional convergence of rural economic resilience in 2012-2020, but the differences between rural economic resilience at provincial level are gradually weakened. Rural economic resilience has significant spatial correlation in geographical space, with local “high-high agglomeration” and “high-low agglomeration” as the main manifestations. Based on the TOE (technology-organization-environment) theoretical framework, six core factors affecting the resilience of rural economy, including digital production, hardware facilities, human resources, financial capital, market size and professional services, are identified. After comparing the impact effects of each factor, it is found that professional services has the greatest impact on the resilience of rural economy. Hardware facilities, digital production, human resources and financial capital are second, and market size has the least impact. Furthermore, the fuzzy sets qualitative comparative analysis method is used to explore the linkage matching effect of each influencing factor. The analysis result indicates that rural economic resilience is the result of complex coordination of multiple factors, and there are four configuration paths to drive the improvement of rural economic resilience, namely, the element improvement type, the comprehensive optimization type, the technology boosting type and the intelligence driven type. Four configuration paths can give a reasonable explanation for spatio-temporal distribution characteristics of rural economic resilience.
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