Artikel

Trust in Government Actions During the COVID-19 Crisis

The worldwide COVID-19 pandemic puts countries and their governments in an unprecedented situation. Strong countermeasures have been implemented in most places, but how much do people trust their governments in handling this crisis? Using data from a worldwide survey, conducted between March 20th and April 22nd, 2020, with more than 100,000 participants, we study people's perceptions of government reactions in 57 countries. We find that media freedom reduces government trust directly as well as indirectly via a more negative assessment of government reactions as either insufficient or too strict. Higher level of education is associated with higher government trust and lower tendency to judge government reactions as too extreme. We also find different predictors of perceived insufficient reactions vs. too-extreme reactions. In particular, number of COVID-19 deaths significantly predicts perceived insufficient reactions but is not related to perceived too-extreme reactions. Further survey evidence suggests that conspiracy theory believers tend to perceive government countermeasures as too strict.

Language
Englisch

Bibliographic citation
Journal: Social Indicators Research ; ISSN: 1573-0921 ; Volume: 159 ; Year: 2021 ; Issue: 3 ; Pages: 967-989 ; Dordrecht: Springer Netherlands

Classification
Sozialwissenschaften, Soziologie, Anthropologie
Crisis Management
Health: Government Policy; Regulation; Public Health
Subject
SARS-Cov2 pandemics
Government trust
Perception of government interventions
Stringency
Lock-down
Media freedom
Conspiracy theories

Event
Geistige Schöpfung
(who)
Rieger, Marc Oliver
Wang, Mei
Event
Veröffentlichung
(who)
Springer Netherlands
(where)
Dordrecht
(when)
2021

DOI
doi:10.1007/s11205-021-02772-x
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Rieger, Marc Oliver
  • Wang, Mei
  • Springer Netherlands

Time of origin

  • 2021

Other Objects (12)