Abstract: Based on resilience theory, a rural resilience evaluation index system was constructed. Taking 68 county-level units in Xinjiang as the research object, combining the relationship between system structure and function, this study comprehensively applied entropy weight method, coupling coordination degree model, spatial autocorrelation analysis, and geographic detector to explore the coupling coordination, spatiotemporal evolution laws, and internal driving factors of rural structural resilience and functional resilience in Xinjiang from 2000 to 2020. The results indicated that the spatial distribution of rural resilience in Xinjiang was uneven, and the coupling coordination degree showed a trend of slow development from basic imbalance to basic coordination; the clustering characteristics of high and low value regions were obvious; the average characteristic of structural resilience was a slight decrease followed by stable development, with low value units distributed in a ‘triangular' shape. The interaction between the proportion of rural residential land and the level of land reclamation was the dominant factor in the formation of spatial patterns;the average characteristic of functional resilience was an upward-downward-upward trend, with low, medium, and high resilience being the dominant factors overall. Counties with high and low resilience were sporadically distributed in counties, and agricultural production efficiency, modernization level, and total crop sowing area played a dominant role in the development pattern of rural functional resilience.

Key words: rural resilience, coupling coordination, spatiotemporal evolution, driving factors, Xinjiang