A Test of Huntington’s Thesis
Gokmen Gunes ()
Additional contact information
Gokmen Gunes: Department of Economics, Bocconi University, via Rontgen 1, 20136, Milan, Italy
Peace Economics, Peace Science, and Public Policy, 2012, vol. 18, issue 3, 9
Abstract:
This paper tests Huntington’s the Clash of Civilizations hypothesis evaluating the impact of civilizations on militarized interstate disputes. In particular, we investigate whether countries that belong to different civilizations tend to be more involved in conflict than countries that belong to the same civilization. We show that over the period of 1816-2001, dissimilarity in civilization in a dyad has no effect on conflict involvement. However, even after controlling for temporal dependence, and for geographic, political, military and economic factors, being part of different civilizations in the post-Cold War period brings about 63.6% higher probability of conflict than belonging to the same civilization, whereas this effect is insignificant during the Cold War.
Keywords: civilizations; clash; conflict; culture; militarized dispute. (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/peps-2012-0011 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:pepspp:v:18:y:2012:i:3:p:1-9:n:10
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/peps/html
DOI: 10.1515/peps-2012-0011
Access Statistics for this article
Peace Economics, Peace Science, and Public Policy is currently edited by Raul Caruso
More articles in Peace Economics, Peace Science, and Public Policy from De Gruyter
Bibliographic data for series maintained by Peter Golla ().