Suppr超能文献

我们信任信任:新冠疫情期间对政府的信任对超额死亡率的影响。

In trust we trust: The impact of trust in government on excess mortality during the COVID-19 pandemic.

作者信息

Zaki Bishoy Louis, Nicoli Francesco, Wayenberg Ellen, Verschuere Bram

机构信息

Department of Public Governance and Management, Faculty of Economics and Business Administration, University of Ghent, Belgium.

Department of Public Governance and Management, Faculty of Economics and Business Administration, University of Ghent, Belgium Department of Economics, University of Amsterdam, the Netherlands.

出版信息

Public Policy Adm. 2022 Apr;37(2):226-252. doi: 10.1177/09520767211058003.

Abstract

The COVID-19 pandemic has brought forward myriad challenges to public policy, central of which is understanding the different contextual factors that can influence the effectiveness of policy responses across different systems. In this article, we explore how trust in government can influence the ability of COVID-19 policy responses to curb excess mortality during the pandemic. Our findings indicate that stringent policy responses play a central role in curbing excess mortality. They also indicate that such relationship is not only influenced by systematic and structural factors, but also by citizens' trust in government. We leverage our findings to propose a set of recommendations for policymakers on how to enhance crisis policymaking and strengthen the designs of the widely used underlying policy learning processes.

摘要

新冠疫情给公共政策带来了诸多挑战,其中核心挑战是理解不同的背景因素,这些因素会影响不同系统中政策应对措施的有效性。在本文中,我们探讨了对政府的信任如何影响新冠疫情政策应对措施在疫情期间遏制超额死亡率的能力。我们的研究结果表明,严格的政策应对措施在遏制超额死亡率方面发挥着核心作用。研究结果还表明,这种关系不仅受到系统和结构因素的影响,还受到公民对政府的信任的影响。我们利用研究结果为政策制定者提出了一系列建议,内容涉及如何加强危机决策以及完善广泛使用的基础政策学习过程的设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1647/8977432/616f3c93cae9/10.1177_09520767211058003-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验