Rural Resilience Evaluation and Influencing Factor Analysis Based on Geographical Detector Method and Multiscale Geographically Weighted Regression

Huimin Wang (), Yihuan Xu and Xiaojian Wei
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Huimin Wang: College of Urban and Rural Construction, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Yihuan Xu: College of Urban and Rural Construction, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Xiaojian Wei: School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, China

Land, 2023, vol. 12, issue 7, 1-18

Abstract: Resilience evaluation is an important foundation for sustainable rural development. Taking the 57 counties in Guangdong province as examples, this study used the CRITIC method to construct a comprehensive evaluation index system for rural resilience and identified the main influencing factors and their spatial heterogeneity on the basis of the geographical detector method and multiscale geographically weighted regression. The results showed that: (1) Most of the counties in Guangdong province had medium or higher values of comprehensive resilience, and the high-value areas were mainly located in the Pearl River Delta region. (2) The comprehensive resilience and each dimensional resilience measure exhibited significant positive spatial correlations. (3) The geographic detector results showed that the per capita gross regional product and the number of industries above the scale were the main influencing factors for rural resilience, and each influencing factor had an enhanced effect after interaction. (4) The effect of each factor on rural resilience demonstrated spatial heterogeneity. Specifically, the proportion of secondary and tertiary industries showed negative effects in some counties in eastern and northern Guangdong and positive effects in other counties.

Keywords: rural resilience; rural revitalization; geographic detector; multiscale geographically weighted regression (MGWR) (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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