Research on the improvement path of grassroots social governance innovation performance in China--Qualitative comparative analysis based on 35 cases.

With the rapid development of China's economy and society, the innovation of grassroots social governance has become increasingly important. This paper constructs 35 grassroots social governance innovation samples. Using the TOE theoretical framework and a fuzzy set qualitative comparative analysis (fsQCA), this paper analyzes the joint effects and interactive relationships of multiple factors on grassroots social governance innovation performance from three dimensions: technology, organization, and environment. The research reveals that internal environmental openness is a necessary condition for achieving high innovation performance in grassroots social governance, and proposes four grouping models that affect the performance of grassroots social governance innovation. This paper explores the inner logic of grassroots social governance innovation from a histological perspective, and on this basis proposes an adaptive path to enhance the performance of grassroots social governance innovation.

Resilience assessment and obstacle factor analysis of urban areas facing waterlogging disasters: a case study of Shanghai, China.

In recent years, accelerated global warming, rainstorms, typhoons, and other natural disasters have been frequently observed, bringing immeasurable direct and indirect economic losses to urban areas. Determining how to further enhance the resilience of urban areas has become an important topic in economic and social development. Therefore, based on waterlogging scenarios, this study uses a more accurate research method combining the subjective evaluation AHP (analytic hierarchy process) method and objective evaluation TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to evaluate the urban resilience of 16 districts of the Shanghai megacity as the research objects and divides the resilience grade results using the ArcGIS natural breakpoint method. The results show that (1) the overall resilience of all districts in Shanghai needs to be further improved. Among the 16 districts in Shanghai, Pudong New Area has the highest urban resilience level. There are more areas with moderate and above-moderate resilience levels, while some areas with low and moderate resilience levels are distributed mainly in the downtown area of Shanghai. (2) Through the analysis of obstacles to the development of urban resilience in the districts of Shanghai, such obstacles tend to be the same under the waterlogging disaster scenarios. Compared to ecological and social policy resilience indices, economic resilience indices and infrastructure resilience indices significantly impact the resilience of urban districts under waterlogging scenarios. The above conclusions can not only help improve the direction of urban resilience governance in various districts of Shanghai but also provide empirical theoretical experience for the resilient construction of urban areas in the future.