Abstract:

Currently, grassroots social governance in mega cities is facing new opportunities and challenges. Data has become a key element in enhancing grassroots social governance capacity. This study is based on the fuzzy set qualitative comparative analysis method (fsQCA), and through the analysis and in-depth exploration of the selected case set, constructs a data sinking empowerment grassroots social governance framework system covering multiple influencing factors such as technology, organization, and demand. It explores the single necessary condition and multivariate collaborative configuration for improving the effectiveness of data empowerment grassroots governance, analyzes the impact of different paths on enhancing grassroots social governance capacity, and provides strategic suggestions for improving the level of grassroots social governance.

Key words: fsQCA, mega cities, data sinking, grassroots social governance