Spatial Pattern Evolution Characteristics and Influencing Factors in County Economic Resilience in China

In the face of shocks, a region’s economic resilience decides whether it can quickly recover or slip into long-term stagnation. This study took 2801 counties in China as research object and distinguished them short-term by taking 2007–2020 time period, used spatial autocorrelation, semi-variance function, geodetector method to analyze evolution pattern driving mechanism China’s different periods. The found that: (1) From perspective, was dominated moderate level resilience, although its characteristics varied slightly over time, overall performance showed that increasing. Over number with very high levels has been increasing, low gradually decreasing. (2) terms layout, county exhibited similar areas clustered distributed spatially, high-high concentration (H-H) hot spot (99% confidence) eastern coast hinterland, low-low (L-L) cold Inner Mongolia northeast. influenced both stochastic structural factors, divergence mainly reflected northeast–southwest direction, while northwest–southeast direction more balanced. (3) Long-term had influencing factors. industrial structure diversification index, which characterized could significantly improve cities, factors differed from period period.