| As a grave and rare public health emergency,COVID-19 can be regarded as a "stress testing" of the government’s emergency management system and capacity,and also provided a typical case for the study of emergency management.Since COVID-19 prevention and control is highly complex and urgent,it is difficult for local governments to control the development of the epidemic in a timely manner.Therefore,it is necessary to integrate the efforts of medical organization,enterprises,social organizations,citizens and other social entities in a joint response.In the process of epidemic prevention and control in China,there has been varying degrees of cooperation between local governments and the above-mentioned entities.Based on the theory of collaborative governance,we constructed an analytical framework that includes five participants: medical organization,government,enterprise,social organization and citizen.Then,we use a fuzzy-set qualitative comparative analysis(fs QCA)approach to find combinations of causal conditions that lead to high emergency management performance.The cases selected for this study are 26provincial-level administrative regions in China severely affected by COVID-19(As of June 2).The results reveal that:The variables of medical organization,government,enterprise,social organization and citizen cannot be used as necessary conditions to explain the performance of crisis management alone,but four models can be formed to explain the performance of crisis management after the combination.Then,this study combined the above results with the specific epidemic prevention and control practices and interview information in different regions of China to explore the specific action mechanism of influencing factors.The research conclusions can provide suggestions for local governments to adopt corresponding ways to improve their ability to deal with sudden public health crises according to their own conditions.It can also provide advanced experience for other countries in responding to public health emergencies such as COVID-19. |