复杂性视角下公共危机多元主体协同治理行为的影响因素与行动路径——基于元分析与模糊集QCA的双重分析

在复杂环境下准确识别多元主体参与公共危机治理行为的关键因素是促进我国公共危机协同治理的基础.学界已对此开展了大量实证研究,由于采用理论模型不同、前提假设与实证基础差异,导致这些研究的结论不尽一致;纵观现有研究多为相关因素的分散性研究,缺少对多元主体协同治理行为多因素组合路径的探索.基于此,本研究首先运用元分析对2001...

Impact Factors and Action Paths of Collaborative Governance Behavior of Multiple Subjects in Public Crises under Complex Perspective: A Dual Analysis Based on Meta-Analysis and QCA Model

The accurate identification of key factors in the behavior of multiple actors involved in public crisis management in a complex environment is the basis for promoting collaborative public crisis management in China. A large number of empirical studies have been conducted in this area, but the conclusions of these studies are inconsistent due to differences in theoretical models, assumptions and empirical foundations. Throughout the existing studies, most of them are scattered studies of relevant factors, and there is a lack of exploration of multi-factor combination paths of collaborative governance behavior of multiple subjects. Based on this, this study first uses Meta-Analysis to analyze 35 empirical studies that examine the collaborative management behavior of multiple actors in public crises over a 20-year period from 2001 to 2020, and then uses fuzzy set qualitative comparative analysis(fsQCA) to explore the multi-factor combination paths of collaborative management behavior of multiple actors in 22 public emergencies. The results show that both internal and external factors are significantly and positively related to the collaborative management behaviour of multiple actors in public crises. The seven influencing factors, in order of importance, are complexity, technical, relational, interactive, social, perceptual and effectiveness factors, and each factor has a combined effect. The four paths can be summarised as "Multi-factor driven under the dual constraints of complexity and technology","Technology driven", "Information interaction driven under complex systems The four paths are "complex system driven by multiple elements, "technology driven","complex system driven by information interaction" and "complex system driven by policies and regulations". In the light of the types of public emergencies, adaptive paths can be chosen to achieve collaborative public crisis management.