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COVID-19 and American Attitudes toward U.S.-China Disputes.
Lin, Hsuan-Yu.
  • Lin HY; Department of Politics, University of Virginia, Charlottesville, VA USA.
J Chin Polit Sci ; 26(1): 139-168, 2021.
Article in English | MEDLINE | ID: covidwho-1053060
ABSTRACT
The COVID-19 outbreak has fueled tension between the U.S. and China. Existing literature in international relations rarely focuses on virus outbreaks as factors affecting international relations between superpower countries, nor does research examine an outbreak's potential influence on the public's opinion about their country's foreign policy. To bridge this research gap, this study explores the extent to which the American public may be prone to favor policies that "punish" China via existing U.S.-China disputes, such as the South China Sea dispute and the U.S.-China trade war. I conducted an online survey using Amazon's Mechanical Turk and ran multinomial and ordered logit models to estimate the association between an individual's preferred policies and the country or government an individual blame for the impact of the pandemic. After controlling several essential confounding factors, such as one's levels of nationalism and hawkishness, I found strong evidence that there is a positive association between people's attribution of blame to the Chinese government and the likelihood of supporting aggressive policy options in the two disputes with China. That is to say, U.S. citizens who believe that the Chinese government is solely culpable for the outbreak in the U.S., compared to those who think otherwise, are more likely to support hawkish policy options, such as confrontational military actions, economic sanctions, or higher tariff rates. The research provides a glimpse into where Americans may stand in these disputes with China and the potential development of U.S.-China relations in the post-pandemic era.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: J Chin Polit Sci Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: J Chin Polit Sci Year: 2021 Document Type: Article