Partisanship in the Trump Trade War: Evidence from County-Level Crop Planting Data

Abstracts In 2018, the US–China trade war drove down the price of many US agricultural goods. While many farmers responded by planting alternative crops instead, others continued planting the low-value crops, with a high cost to their bottom line and resulting in a large number of agricultural bankruptcies. Why did some farmers disregard their own economic interests and plant low-value crops during the trade war? We argue that political preferences partially explain farmer behavior. Matching geo-referenced crop data to product-level sanctions lists from China, we calculate county-level changes in the planting of crops affected by the tariffs. We find that counties with a higher Trump vote share in the 2016 election were significantly less likely to change planting decisions due to the trade war. This suggests that partisanship may affect the economy more broadly than previously realized.

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Institutions

Publication Details

Journal
International Studies Quarterly
Published
2024-09-14
DOI
https://doi.org/10.1093/isq/sqae141
Citations
2
Primary Topic
Political Influence and Corporate Strategies
Type
article
Field-Weighted Citation Impact
1.11

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article

Partisanship in the Trump Trade War: Evidence from County-Level Crop Planting Data

Shannon P Carcelli, K. Park
2 citations
International Studies Quarterly
Political Influence and Corporate Strategies
1.11
article

Partisanship in the Trump Trade War: Evidence from County-Level Crop Planting Data

Shannon P Carcelli, K. Park
article en
2 citations

Abstract

Abstracts In 2018, the US–China trade war drove down the price of many US agricultural goods. While many farmers responded by planting alternative crops instead, others continued planting the low-value crops, with a high cost to their bottom line and resulting in a large number of agricultural bankruptcies. Why did some farmers disregard their own economic interests and plant low-value crops during the trade war? We argue that political preferences partially explain farmer behavior. Matching geo-referenced crop data to product-level sanctions lists from China, we calculate county-level changes in the planting of crops affected by the tariffs. We find that counties with a higher Trump vote share in the 2016 election were significantly less likely to change planting decisions due to the trade war. This suggests that partisanship may affect the economy more broadly than previously realized.

International Studies QuarterlyVol. 68(4)
Arizona State University (US), University of Maryland, College Park (US)
National Science Foundation, Arizona State University, School of Politics and Global Studies, Arizona State University
Openalex Percentile: Top 14%
Political Influence and Corporate Strategies
1.11
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Partisanship in the Trump Trade War: Evidence from County-Level Crop Planting Data — Shannon P Carcelli, K. Park · International Studies Quarterly (2024) | TGRS Research Map | TGRS