What explains the failure of U.S. army reconstruction in Afghanistan?
Colin D. Robinson
Defense & Security Analysis, 2018, vol. 34, issue 3, 249-266
Abstract:
This author wrote his doctorate thesis on post-conflict army reconstruction, submitting it in 2011. Continued research on the subject in the intervening seven years indicates that his theoretical propositions can be refined and improved. This article examines refinements to the model, and then applies those refinements in detail to the Afghan case. In so doing, it shifts the focus from potentially altruistic state-building to a case that was driven by pure national-strategic interests. Issues surrounding the liberal peace ideology dominate recent army reconstruction in conflict-affected states. The liberal peace underpinning is of supreme importance, so much so that in many discussions, it is internalised and accepted virtually without thought. This paper will advance the body of knowledge by establishing, for the first time, a theoretical basis for the widespread failure of army reconstruction in Afghanistan. The empirical basis builds on extensive previous research by other scholars. The resulting model can also be applied to better explain outcomes in other similar cases.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/14751798.2018.1500756 (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:cdanxx:v:34:y:2018:i:3:p:249-266
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CDAN20
DOI: 10.1080/14751798.2018.1500756
Access Statistics for this article
Defense & Security Analysis is currently edited by Martin Edmonds
More articles in Defense & Security Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().