Spatial and temporal variation of economic resilience and its drivers: Evidence from Chinese cities

Based on panel data of 282 cities in China from 2005 to 2019, this paper constructs an economic resilience evaluation index system three dimensions and applies the entropy value method measure it. The two-stage nested Thiel index, kernel density estimation geographic detector methods are also used explore characteristics their spatial temporal divergence driving factors. We find that Chinese has increased rapidly over sample period, but with significant variation, intra-provincial variation being main source overall variation. Without considering conditions, a strong stability. In case factors have impact low resilience, not high resilience. Differences technological innovation capabilities key driver cities. interaction any two enhances respective effects differentiation above findings, should actively targeted differentiated ways improve based comparative advantages, accelerate construction collaborative improvement mechanism for urban support China. Our findings provide useful reference promoting concerted