2021
DOI: 10.1086/709434
|View full text |Cite
|
Sign up to set email alerts
|

Bean Counters: The Effect of Soy Tariffs on Change in Republican Vote Share between the 2016 and 2018 Elections

Abstract: How do trade wars affect presidential support? President Trump's aggressive tariffs on China despite his largely rural electoral support base provide a unique opportunity to analyze the relationship between international trade policy and domestic support. If trade-related considerations were ever decisive to American voters, the stark decrease in soy prices, a direct effect of Trump-initiated tariffs immediately preceding the 2018 midterm election, serves as a critical test for studying their effect. This lett… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 16 publications
(7 citation statements)
references
References 29 publications
1
6
0
Order By: Relevance
“…57.Blanchard, Bown, and Chor 2019 also report that the Republican Party's electoral losses were largely driven by the agricultural sector. Chyzh and Urbatsch 2020 similarly find that soybean-producing counties were more likely to turn against the Republican Party.…”
mentioning
confidence: 81%
See 1 more Smart Citation
“…57.Blanchard, Bown, and Chor 2019 also report that the Republican Party's electoral losses were largely driven by the agricultural sector. Chyzh and Urbatsch 2020 similarly find that soybean-producing counties were more likely to turn against the Republican Party.…”
mentioning
confidence: 81%
“…28.Amiti, Redding, and Weinstein 2019; Chyzh and Urbatsch 2020; Fajgelbaum et al 2020; Fetzer and Schwarz 2019.…”
mentioning
confidence: 99%
“…Two related papers touch on the relationship between the trade war and the 2018 elections. Fetzer and Schwarz (2019) briefly assess whether the trade shock influenced voting outcomes, and Chyzh and Urbatsch (2019) find a systematic pattern of Republican electoral losses in counties that produce more soybeans. Our results are consistent with these papers, but we are the first (as far as we know) to find evidence of disproportionate political responses in politically competitive counties, and to demonstrate the influence of agricultural subsidies and health insurance for voting patterns.…”
Section: Introductionmentioning
confidence: 99%
“…The third and fourth models respectively assess the effects of long- and short-term COVID-19 case rates in the same manner as first and second models. In terms of accounting for other predictors of partisan electoral changes, we build on the standing county-level model assessing electoral changes from one election cycle to the next by Chyzh and Urbatsch ( 2020 ). Each model controls for potential constituency predictors of electoral outcomes during the 2020 election, such as the unemployment rate, population density, educational attainment, racial composition of the constituency, median income, constituency lagged Republican vote share, and the party of the governor.…”
Section: Methodsmentioning
confidence: 99%