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Based on the measurement of the locational condition from a spatiotemporal perspective, the entropy weight TOPSIS, a grey relational analysis model, and other methods are adopted to analyze the correlative heterogeneity characteristics of industrial restructuring, path locking, and path innovation of regenerative resource‐based cities in China from 2005 to 2016. In this paper, we conclude that locational conditions were closely related to industrial transformation. And specifically, the locational condition of study cities was the most closely related to path innovation, followed by the advanced index of industrial structuring, and the weakest correlation with the speed of industrial restructuring. For non‐remote cities, due to the proximity of provincial capitals and regional central cities, the path innovation was the fastest, and the correlation with the advanced index was the closest. For remote cities, the advanced index showed a downward trend. However, the correlation between the locational condition and the advanced index or path innovation were both high. For extremely remote cities, the speed and advanced index of industrial restructuring were most disadvantaged. Furthermore, the path locking was the strongest, and the path innovation was the weakest. It had the strongest correlation with path innovation. Overall, the heterogeneity of the correlation between geographic location and industrial transformation is significant. [ABSTRACT FROM AUTHOR]

Resource‐based cities (RBCs) whose economies depend primarily on exploiting and processing natural resources usually have rigid, singular, and low‐end industrial structures, which often cripples their ability to cope with external disturbances such as international resource price fluctuations and economic downturns. This paper quantitatively analyzes the economic resilience of RBCs in China in terms of resistance and recoverability during the Asian financial crisis and the global financial crisis. Furthermore, it identifies the main factors affecting resilience. There are four main findings: First, RBCs were quickly and negatively impacted by the Asian financial crisis, which suggests that economic resistance was generally low during this period. In the recovery period, while the rate of recovery was slow at the beginning, economic recoverability improved after 2002. Economic resistance and recoverability were found to have a strong negative correlation. Second, at the beginning of the global financial crisis, the economic resistance of RBCs was generally high. However, after 2012, the number of cities that were severely affected by the economic crisis increased rapidly. Third, economic resistance varied across different types of RBCs. Coal‐based and forestry‐based cities had lower economic resistance, while oil & gas‐based cities were more resistant. RBCs in the Eastern region generally had low economic resistance, while the economic resilience of recessionary cities was also low. Finally, while factors affecting the economic resilience varied across the two economic cycles, we found that economic development, labor conditions and, most of all, the industrial structure had a statistically significant negative effect on economic resilience. [ABSTRACT FROM AUTHOR]