Replication Data for: Explaining Compliance with COVID-19 Regulation in China and the United States: Cultural Biases, Political Trust, and Perceptions of Risk and Protective Actions
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Explaining Compliance with COVID-19 Regulation in China and the United States: Cultural Biases, Political Trust, and Perceptions of Risk and Protective Actions
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Identifier |
https://doi.org/10.7910/DVN/QJOZA4
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Creator |
Yuan, Meng
Mayorga, Marcus Johnson, Branden B. Swedlow, Brendon |
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Publisher |
Harvard Dataverse
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Description |
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 U.S. Our findings suggest that regulators in both countries should craft regulations that are congenial to culturally diverse populations.
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Subject |
Social Sciences
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Date |
2023-12-12
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Contributor |
Yuan, Meng
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