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.

This paper, based on China's land supply data from 2010 to 2018 gained from China Land Market website via Python program, uses spatial distribution center, regional Gini coefficient, cold-hot spot and panel data model to discuss the temporal-spatial evolution and mechanism industrial land supply in Yangtze river economic zone during bi-transitional periods of market and development and supply side reform, aiming at providing theoretical supports for optimizing industrial planning and promoting supply side reform. Supply of industrial land in Yangtze river economic zone shows a fluctuated decreasing trend with rising, falling and slowly increasing stages. Spatial distribution of industrial land citywide generally tends to be balanced with a shrinking regional land supply difference. Industrial land is the largest in the middle stream of Yangtze river with its distributing center migrating to Yangtze river delta. Land supply is influenced by industrial land price and economic level; it is promoted by increment of fixed asset investment, local financial income and gross industrial production.

Huaihai economic zone, composed of northern Jiangsu, northern Anhui, eastern Henan and southern Shandong, has been underdeveloped for a long time. Now its development upgrades to a national strategy. Construction of the northern part will promote a co-integrated development of the whole zone. This paper uses gravity model to study the spatial structure of urban group of Huaihai economic zone with its results showing a urban comprehensive quality range from 218.16 to 1 062.58. Xuzhou city has the largest gravity within the zone, but has larger fault point average value with Jiangsu, Shandong and Henan, while smaller with Anhui, indicating a weak radiation of Xuzhou to Anhui's cities. Cities in Huaihai economic zone develop at uneven rates with XuHou as the center but with limited attraction and variable economic attractive force to other cities. Economic exchange and communication in the economic zone need to be improved, not only on Xuzhou's radiation, but also on Linyi and Huaian's diffusion as sub-centers, which boosts the integration of regional economy.

This paper uses locality Gini coefficient, locality entropy, standard difference ellipsoid model to analyze the spatial pattern and its evolution of non-agricultural industries based on the second & third industries data of 13 prefectures in Jiangsu province. The results show that the second & third industries are unevenly distributed with a high concentration in Suzhou, Wuxi and Nanjing. The second industry has a more homogenous distribution than the third industry in Jiangsu province with their descending locality Gini coefficients. The specialization level of the second & third industries in south and central Jiangsu is much higher than that in north Jiangsu. The spatial pattern of the two industries is relatively stable in recent decade. This paper presents suggests that north Jiangsu foster specialized industries to form a stable industrial cluster, central Jiangsu integrate into Yangtze River Delta industry zone so as to boost its manufacturing, south Jiangsu, as the developed area in Jiangsu province or even in China, set up specialized incubators to form industrial cluster with global competitiveness.