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Arid Land Geography ›› 2026, Vol. 49 ›› Issue (2): 393-403.doi: 10.12118/j.issn.1000-6060.2025.406

• Regional Development • Previous Articles     Next Articles

Spatiotemporal evolution characteristic and driving mechanism of rural resilience in counties of Gansu Province

LI Qianguo1(), SUN Longkai1(), HUI Fanyan1, ZHU Zongbin2   

  1. 1. College of Agriculture and Forestry Economics and Management, Lanzhou University of Finance and Economics, Lanzhou 730020, Gansu, China
    2. College of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, Shaanxi, China
  • Received:2025-07-14 Revised:2025-08-29 Online:2026-02-25 Published:2026-02-27
  • Contact: SUN Longkai E-mail:xsdlqg@126.com;slkzufe@126.com

Abstract:

Evaluating rural development from a resilience perspective is significant for breaking the urban-rural dual structure and promoting comprehensive rural revitalization. This article takes 86 counties in Gansu Province as the research object and constructs a rural resilience evaluation index system based on three dimensions: “resilience, adaptability, and reconstruction capability”. Using spatial autocorrelation analysis and geographic detector models, it reveals the spatiotemporal evolution of rural resilience and its driving mechanisms in counties of Gansu Province from 2010 to 2022. The results indicated that (1) The resilience level of rural areas in Gansu Province has significantly improved, with obvious spatial differentiation characteristics. The resilience of rural areas in central and eastern Gansu is relatively high, while some counties in Hexi, Gannan, and Linxia have lower resilience. The number of high-resilience counties continues to increase, while the number of low-resilience counties continues to decrease. (2) There is a spatial positive correlation in rural resilience, and the correlation is gradually weakening. The degree of spatial agglomeration is declining, with high-agglomeration areas shrinking toward the central Gansu region and low-agglomeration areas concentrated in counties such as Gannan and Linxia. (3) The level of rural social services, economic development, and agricultural production has a significant impact on rural resilience. The explanatory power of rural industrial structure for rural resilience is steadily increasing, and rural resilience is driven by economic development, resource optimization, industrial transformation, and service guarantee mechanisms. This study’s results provide scientific reference for the implementation of rural resilience development in Gansu Province.

Key words: rural resilience, evolutionary characteristic, driving mechanism, geographic detector, Gansu Province