Abstract: Economic environment has been growing more and more complex. Study on economic resilience from different industrial structure perspectives under various external shocks is crucial for regional economic security and high-quality development. This study focused on the cities within the three major urban clusters of the Yangtze River Economic Belt. The cities were classified into the following types based on the dominant industries: agriculture, forestry, animal husbandry, fisheries, mining, and manufacturing, etc.. The economic resilience was measured for 2008 to 2022, by using the "counterfactual data" method. The individual fixed panel model was employed to analyze the influencing factors. The main findings were as follows: (1) The impact of the COVID-19 pandemic in 2020 on economic resilience was significantly greater than that of the 2008 economic crisis. Different types of cities showed significant variances in their resilience response in terms of paths and speeds. (2) During the shock periods of 2008 and 2020, the spatial patterns of economic resilience across the three major urban clusters remained essentially the same, which exhibited a "low-resilience" area in the northwest of the Chongqing urban cluster, a north-low-south-high pattern in the Middle Yangtze River urban cluster, and a north-high-south-low pattern in the Yangtze River Delta urban cluster. (3) At different stages from 2008 to 2012, factors of export dependency, the level of financial development, and the economic agglomeration index significantly influenced urban development. Specifically, the level of financial development exerted a positive impact, while the government measures and the urbanization rate had a negative influence. In the period of 2013 to 2017, the urbanization rate played a positive role in urban development, while the levels of technological input and financial development exhibited adverse effects. Finally, in the period of 2018 to 2022, the diversification index of industries and the level of technological input were identified as positive drivers for urban development.