Nafta's Army
Free Trade and US Military Enlistment
Bibliographic Data
| ID | 7301972 |
|---|---|
| Authors | Adam Dean (0000-0002-0940-9588, George Washington University, corresponding author) |
| Year | 2018 |
| Volume | 62 |
| Issue | 4 |
| Pages | 845-856 |
| Publication date | 2018-10-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Studies Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0020-8833 • E-ISSN: 1468-2478 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/isq/sqy032 |
| OpenAlex | W2907021539 |
| Language | EN |
| Citations received | 9 |
| References cited | 57 |
I argue that international trade increases military enlistment in the United States. Trade-related job losses reduce economic opportunities in local labor markets, and the government responds by increasing military recruitment efforts in those counties. This dynamic challenges conventional accounts of globalization, which tend to overlook the local impact of free trade and only examine the traditional welfare policies that governments offer to compensate "trade losers." This study analyzes an original, county-level data set on army enlistment and trade-related job losses from 1996 to 2010. The results suggest that a trade shock of one thousand job losses is associated with a 33 percent increase in army enlistment in the median county. To illustrate the causal mechanisms that link free trade to army enlistment, this study also presents a case study based on original interviews in Catawba County, North Carolina, a county particularly impacted by trade liberalization
Business · Economics · Free trade · Free trade agreement · Globalization · Government (linguistics · International trade · Shock (circulatory · Welfare · Defense, Military, and Policy Studies · Employment and Welfare Studies · Global trade and economics
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| Unique citing works | 9 |
|---|---|
| Citations per year | 1,29 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |