PDF(Pubmed)
Abstract：
The COVID-19 pandemic\'s profound impacts on global health, driven by preparedness gaps and systemic risks, underscore the need to enhance societies\' ability to manage both predictable risks and uncertainties inherent in disasters. While disaster research emphasises risk management for predictable threats and adaptive capacity for unexpected challenges, there is a lack of empirical examination of the impact of adaptive capacity on disaster resilience. This study addresses this gap by identifying three key adaptive capacities - quality of institutions, collaborative governance, and social capital - and examining their effects on COVID-19 resilience outcomes, measured by the ability to reduce excess mortality. Analysing secondary data from 129 nations using partial least squares structural equation modelling, the research finds significant positive effects of institutional quality and social capital on resilience outcomes. Conversely, collaborative governance shows a significant negative association, suggesting potentially intricate impacts beyond initial expectations. The findings highlight the need to enhance institutional quality and social capital to address preparedness gaps and unexpected challenges posed by biological hazards such as COVID-19. Future research should explore collaborative governance using a disaggregated approach that considers the roles of different stakeholders in various disaster phases.
UNASSIGNED: This study advances disaster research by presenting practical methodologies for operationalising adaptive capacities and empirically examining their effects on disaster resilience. For practitioners and policymakers, it highlights the need to adopt a long-term perspective in building disaster resilience, focussing on improving institutional quality and social capital to manage the uncertainties and complexities inherent in disaster scenarios effectively.
UNASSIGNED: This study advances disaster research by presenting practical methodologies for operationalising adaptive capacities and empirically examining their effects on disaster resilience. For practitioners and policymakers, it highlights the need to adopt a long-term perspective in building disaster resilience, focussing on improving institutional quality and social capital to manage the uncertainties and complexities inherent in disaster scenarios effectively.
摘要：
COVID-19大流行对全球健康的深远影响，在准备差距和系统性风险的驱动下，强调需要提高社会管理可预测风险和灾害固有不确定性的能力。虽然灾害研究强调可预测威胁的风险管理和应对意外挑战的适应能力，缺乏对适应能力对抗灾能力影响的实证检验。本研究通过确定三个关键的适应能力来解决这一差距-机构质量，协同治理，和社会资本-并检查它们对COVID-19弹性结果的影响，以降低超额死亡率的能力来衡量。使用偏最小二乘结构方程模型分析来自129个国家的二级数据，研究发现，制度质量和社会资本对复原力结果有显著的正向影响。相反，协同治理表现出显著的负关联，这表明潜在的复杂影响超出了最初的预期。研究结果强调，需要提高机构质量和社会资本，以解决COVID-19等生物危害带来的准备差距和意想不到的挑战。未来的研究应使用分类方法探索协作治理，该方法考虑了不同利益相关者在各个灾难阶段的作用。
■本研究通过提出实用的方法来促进灾难研究，以提高适应能力，并根据经验检查其对灾难恢复能力的影响。对于从业者和决策者来说，它强调了在建设抗灾能力方面采取长期观点的必要性，侧重于提高机构质量和社会资本，以有效管理灾难情景中固有的不确定性和复杂性。
■本研究通过提出实用的方法来促进灾难研究，以提高适应能力，并根据经验检查其对灾难恢复能力的影响。对于从业者和决策者来说，它强调了在建设抗灾能力方面采取长期观点的必要性，侧重于提高机构质量和社会资本，以有效管理灾难情景中固有的不确定性和复杂性。
