This paper uses inverse function method to estimate the resilience of Jiangsu's overall economy and the third industry from resistance and recovery, and employs geographical detector model to study its factors. Jiangsu's economic resistance is outstandingly higher than the nation's average, geographically showing low-in-south/north and high-in-center. Industrial resistance has a decreasing order of the second, the first and the third industries with all three industries distributing variably. Jiangsu's economic recovery is also above the nation's average, but with a decreasing trend, geographically high-low-high-low pattern northward transforming to a later south-high-north-low pattern. Economic recovery of the first and the second industries has improved largely, with the third industry declining outstandingly. Overseas trading dependence, back-to-work progress and industrial structure have a higher explanatory powerto economic resistance, and industrial structure, medical level and back-to-work progress higher to economic recovery. Among resilience-related factors, medical level, back-to-work progress and proportion of the third industry are the major drives for regional economic resilience, but overseas trading dependence and proportion of the second industry are the negative factors. This paper presents suggestions on post-COVID-19 economic recovery and quality development for Jiangsu province.