EconPapers    
Economics at your fingertips  
 

Modeling Credible Retaliation Threats in Deterring the Smuggling of Nuclear Weapons Using Partial Inspection---A Three-Stage Game

Xiaojun (Gene) Shan () and Jun Zhuang ()
Additional contact information
Xiaojun (Gene) Shan: Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260

Decision Analysis, 2014, vol. 11, issue 1, 43-62

Abstract: Deterring the smuggling of nuclear weapons in container freight is critical. Previous work has suggested that such deterrence could be achieved by retaliation threats and partial inspection. However, pre-event declared retaliation threats may not be credible, causing the desired deterrence not to be achieved. In this paper, we extend and complement the work of Haphuriwat et al. (2011) to model credible retaliation threats in a three-stage game, by introducing two additional decision variables and five additional parameters. Our results suggest that noncredible retaliation could be at equilibrium when the reputation loss is low, the reward from the public for retaliation is low, or the costs of retaliation are high. When the declared retaliations are noncredible, we quantitatively show that a higher inspection level would be required to deter nuclear smuggling than would be needed if retaliation threats are always credible. This paper provides additional quantitative insights on the decision-making process for container screening to deter nuclear smuggling.

Keywords: noncredible retaliation threats; credible retaliation threats; deterrence; game theory; smuggling; terrorism (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://dx.doi.org/10.1287/deca.2013.0288 (application/pdf)

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:inm:ordeca:v:11:y:2014:i:1:p:43-62

Access Statistics for this article

More articles in Decision Analysis from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ordeca:v:11:y:2014:i:1:p:43-62