Tariffs As Electoral Weapons: The Political Geography of the US–China Trade War
Sung Eun Kim and
Yotam Margalit
International Organization, 2021, vol. 75, issue 1, 1-38
Abstract:
In response to President Trump instigating conflict over trade with China, the Chinese government countered by issuing tariffs on thousands of products worth over USD 110 billion in US exports. We explore whether China's tariffs reflected a strategy to apply counterpressure by hurting political support for the president's party. We also assess the strategy's impact on the 2018 midterm elections and examine the mechanism underlying the resulting electoral shift. We find strong evidence that Chinese tariffs systematically targeted US goods that had production concentrated in Republican-supporting counties, particularly when located in closely contested Congressional districts. This apparent strategy was successful: targeted areas were more likely to turn against Republican candidates. Using data on campaign communications, local search patterns online, and an original national survey, we find evidence that voters residing in areas affected by the tariffs were more likely to learn about the trade war, recognize its adverse impact, and assign the Republicans responsibility for the escalating dispute. These findings demonstrate how domestic political institutions can be a source of vulnerability in interstate disputes.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (10)
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:intorg:v:75:y:2021:i:1:p:1-38_2
Access Statistics for this article
More articles in International Organization from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().