Driving the effectiveness of public health emergency management strategies through cross-departmental collaboration: Configuration analysis based on 15 cities in China.

Background: Owing to the complexity of and changes associated with modern public health emergencies, cross-departmental collaborative governance is an inevitable choice for ensuring effective emergency management. In the context of emergency management research, the way in which taking full advantage of synergy can be used to enhance the effectiveness of emergency prevention and control approaches is an important issue that must be addressed urgently. Methods: Combined with China's responses to the management of public health emergencies, in this study, we construct a theoretical analysis framework involving three dimensions: information, organization, and environment. Our proposed framework relies on the fuzzy-set qualitative comparative analysis (fsQCA) method to analyze the mechanisms behind the prevention and control of coronavirus disease 2019 (COVID-19) cases across 15 cities located in typical provinces throughout China and explore the roles of cross-departmental collaboration in the processing of various elements as well as the effects of their combination on the action mechanisms for ensuring the effectiveness of emergency management approaches. Findings: The results show a significant conditional correlation between the effectiveness of emergency management and the factors affecting cross-departmental coordination. Based on the characteristics of multiple concurrent paths, the driving paths can be classified into four categories: organizational, environmental, environment-balanced, and organization environment-based dual-core categories. Conclusions: The effectiveness of public health emergency management is the result of multiple factors. Local governments should strengthen the coordination and integration of information, organization, and environment, improve the coordinated system associated with emergency management, promote the "two-wheel drive" of high-quality development as well as accurate prevention and control, explore and perfect the adaptive combinatorial optimization path, and effectively transform the advantages of linking multi-dimensional factors with governance efficiency.

Spatio-Temporal Analysis and Influencing Factors of Rural Resilience from the Perspective of Sustainable Rural Development.

Rural resilience is not only a comprehensive reflection of "thriving businesses, pleasant living environments, social etiquette and civility, effective governance, and prosperity". It is also the unity of resilience in industry, ecology, culture, organization and livelihood. This paper uses the entropy weight-TOPSIS method to measure the rural resilience level in 31 regions in China and analyzes the configuration of influencing factors with the Fuzzy-set qualitative comparative analysis (fsQCA). The results of the study are as follows: (1) The level of rural resilience in China showed a stable increase from 2010 to 2019, but the overall level was low, with large regional disparities, showing a significant positive spatial correlation. (2) In the high-level rural resilience explanatory path, labor-driven, cultural-driven and market-labor-technology linkage-driven play a core role, while administrative force is not playing a significant role. In the explanation path of non-high level rural resilience, the market-labor absent, administrative-market absent and cultural absent hinder the improvement of rural resilience. In summary, we put forward the following suggestions. Policy renovation and support should be strengthened. Adaption to local conditions should be considered in order to achieve sustainable and differentiated development. Development should be coordinated and balanced in different regions so as to achieve an overall resilience level in rural areas.

Research on Urban Resilience and Influencing Factors of Chengdu-Chongqing Economic Circle

Building resilient cities is the foundation and guarantee for the Chengdu-Chongqing economic circle to achieve high-quality and sustainable development. This research uses the entropy TOPSIS method to evaluate the urban resilience level of the Chengdu-Chongqing Economic Circle and uses the Fuzzy Set Qualitative Comparative Analysis (fsQCA) approach to analyze the configuration of contributing factors. Research indicates that the overall urban resilience level is relatively low, with more than 70% of the areas being less than 0.3. Overall, Chengdu (Level 1) and Chongqing central districts (Level 2) are 1–3 levels higher than their surrounding areas, which indicates insufficient spatial balance. The consistency scores of the single-antecedent condition necessity analyses were all less than 0.9, and the consistencies of all configuration analysis results were all greater than 0.8. This research proves that the creation of urban resilience is the result of a combination of factors, rather than the independent influence from any individual factor. Financial and innovation forces are the key driving factors that affect the level of urban resilience. The multiple driving model also helps to improve the level of resilience. The lack of cultural and innovation forces in Chongqing area has been proven to inhibit the level of urban resilience, and the lack of openness and political focus has resulted in a low level of resilience in the Sichuan area. We propose to promote the construction of a “dual core”, to create synergies between Chongqing and Chengdu, and to achieve balanced and integrated development in the entire region. We focus on the key factors affecting the resilience level of the Chengdu-Chongqing economic circle. In the future, we suggest further opening the market and implementing a developing strategy that is driven by economy and innovation. Regarding the construction of the Sichuan and the Chongqing areas, we encourage the two regions to adjust policies based on local conditions. First, the administration should solve the driving force deficiencies for development, then adopt differentiation strategies for regional development.