Research on the Influencing Factors of China's Industrial Agglomeration Level Based on Configuration Perspective

With the development of Internet and artificial intelligence, the level of industrial agglomeration has gradually become the top priority to competitiveness. This study uses the fuzzy-set qualitative comparison analysis (fsQCA), based on the configuration perspective. Based on the cross-sectional data of 31 provinces in 2023, the conditional configuration path of high industrial agglomeration level (CYJJSP) is constructed. And the influence of six main factors on CYJJSP is analyzed, which are economic development level, government intervention degree, regional innovation level, industrial structure, transportation development level, and human capital. The study shows that: First, none of the six single antecedent conditions is necessary for high CYJJSP, but it is helpful to achieve high CYJJSP in general. Secondly, high CYJJSP needs multi-condition linkage mechanism to achieve, and two configuration paths are obtained after processing data. The configuration is tested for robustness by changing the threshold or consistency, and the configuration is still stable after the test. Finally, by comparing the two configuration paths, it is found that there is an obvious substitution relationship between the condition combinations. The study explores the effect of each factor, which not only enriches the theoretical framework for achieving high CYJJSP, but also provides practical guidance for high CYJJSP.