Decision-Making in the Arms of a Dependent Relationship: Explaining Shifts in Importer Acquisition Patterns of Major Weapon Systems, 1955–2007

Richard A. I. Johnson

Defence and Peace Economics, 2020, vol. 31, issue 7, 851-868

Abstract: Arms dependency is typically framed as a security issue that states seek to avoid. Dependency creates an opportunity for an exporter to attempt to exert influence over the importer’s foreign and domestic policy. However, the arms trade is a trade and influence attempts to create economic costs for exporters by damaging relationships with current and potential customers. Thus, heavily dependent states do not necessarily need to change suppliers to avoid the threat. Additionally, as arms transfers are a signal of political support, dependency may be a sign of a mutually beneficial relationship rather than one that is potentially dangerous. This article evaluates these arguments using logistic regression models to evaluate changes in suppliers of major weapons systems. It finds that the relationship between dependence and arms transfers is more complex than previously argued where the nature of the relationship depends both on the type of exporter and the type of arm being exported.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10242694.2019.1618651 (text/html)
Access to full text is restricted to subscribers.

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:taf:defpea:v:31:y:2020:i:7:p:851-868

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GDPE20

DOI: 10.1080/10242694.2019.1618651

Access Statistics for this article

Defence and Peace Economics is currently edited by Professor Keith Hartley

More articles in Defence and Peace Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().