Explaining compliance with COVID-19 regulation in China and the United States: cultural biases, political trust, and perceptions of risk and protective actions
Meng Yuan,
Marcus Mayorga,
Branden B. Johnson and
Brendon Swedlow
Journal of Public Policy, 2024, vol. 44, issue 2, 284-326
Abstract:
How do cultural biases, trust in government, and perceptions of risk and protective actions influence compliance with regulation of COVID-19? Analyzing Chinese (n = 646) and American public opinion samples (n = 1,325) from spring 2020, we use Grid–Group Cultural Theory and the Protective Action Decision Model to specify, respectively, cultural influences on public risk perceptions and decision-making regarding protective actions. We find that cultural biases mostly affect protective actions indirectly through public perceptions. Regardless of country, hierarchical cultural biases increase protective behaviors via positive perceptions of protective actions. However, other indirect effects of cultural bias via public perceptions vary across both protective actions and countries. Moreover, trust in government only mediates the effect of cultural bias in China and risk perception only mediates the effect of cultural bias in the United States. Our findings suggest that regulators in both countries should craft regulations that are congenial to culturally diverse populations.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cup:jnlpup:v:44:y:2024:i:2:p:284-326_3
Access Statistics for this article
More articles in Journal of Public Policy from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().