PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (2): 245-256.doi: 10.18306/dlkxjz.2021.02.006

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Spatiotemporal change of rural community resilience in loess hilly-gully region and influencing factors: A case study of Gaoqu Township in Mizhi County, Shannxi Province

YANG Tao1, CHEN Hai1,*(), LIU Di1, ZHANG Hang2, SHI Qinqin1   

  1. 1. College of Urban and Environmental Sciences / Shannxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an 710127, China
    2. College of Land and Urban-rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China
  • Received:2020-03-25 Revised:2020-06-11 Online:2021-02-28 Published:2021-04-28
  • Contact: CHEN Hai
  • Supported by:
    National Natural Science Foundation of China, No(41971271);National Natural Science Foundation of China, No(41871185)


Under the pressure of rural population and land-use change, the building of resilience has become an effective measure to ensure the sustainable development of regional social-ecological systems. Taking Gaoqu Township in Mizhi County of Shaanxi Province as the research area and using entropy weight TOPSIS method, this research measured the community resilience of 20 villages in the loess hilly-gully region from four dimensions of society, economy, institution, and ecology. The spatiotemporal change of community resilience from 2015 to 2019 was discussed; the impact mechanism of key influencing factors of community resilience was analyzed by using the obstacle degree model, and the dimensions of the current key factors were compared to divide the case study communities into different types for differentiated governance. The results show that: First, community resilience increased from 0.171 to 0.318 during the research period. Economic resilience increased significantly, institutional and ecological resilience increased only slightly, while social resilience decreased. The spatial variation of community resilience became more significant and shows a distribution pattern of "high in the middle and low in the peripheries". Second, the key influencing factors of community resilience at the end of the research period include the development level of animal husbandry and cropping, the number of farming households participated in agricultural industrialization, and per capita income of farmers in the economic dimension; the average years of education of local leaders, fairness in governance, and farmers' opportunity of participating in decision making in the institutional dimension; the proportion of rural public space and the proportion of migrant population in the social dimension; and the proportion of the area of irrigated land, terrace, and dammed land in the ecological dimension. Third, according to the obstacle degree ranking of the dimensions of the key influencing factors, the low-value communities of economic, institutional, social, and ecological resilience are identified successively. Finally, the 20 rural communities in Gaoqu were divided into three types, and corresponding countermeasures and suggestions were put forward according to the characteristics of the different types of rural communities, aiming to provide a reference for the decision making of precision and differentiated management.

Key words: community resilience, rural community, spatiotemporal change, obstacles, loess hilly-gully region