Human Trafficking: Policy Intervention

John N. Mordeson (), Michel Mallenby (), Sunil Mathew () and Santanu Acharjee ()
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John N. Mordeson: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
Michel Mallenby: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
Sunil Mathew: Department of Mathematics, National Institute of Technology, Calicut, 673601, Kerala, India
Santanu Acharjee: Economics and Computational Rationality Group, Department of Mathematics, Debraj Roy College Golaghat 785621, Assam, India

New Mathematics and Natural Computation (NMNC), 2017, vol. 13, issue 03, 341-358

Abstract: In E. Lutz and R. Lotspich, sex markets and human trafficking: Cause–effect and policy interventions, The Protection Project Journal of Human Rights and Civil Society 2 (2009) 199–124, causal linkages between commercial sex and human trafficking were examined. A three-link chain of necessary conditions exists. All three are required for trafficking into commercial sex. Consequently, trafficking can be addressed by policy intervention at any link. Prospects for policy success at the three points of intervention were compared. It was shown that a strategy of suppressing sex markets is least likely to be successful in reducing the associated human trafficking. In this paper, we create a mathematical model of the work developed above. We use five methods to derive five different linear equations to measure the success of policy intervention. The methods are the analytical hierarchy process, the Guiasu method, the Dempster rule of combination method, the Yen method, and the set-valued statistical method. The equations are based on an expert’s opinion of the relative importance of the factors involved in sex trafficking. These equations are used to determine a measure of how well a particular state in the USA is doing in policy intervention.

Keywords: Human trafficking; policy intervention; analytical hierarchy process; Guiasu method; Dempster rule of combination; Yen method; set-valued statistical method (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S1793005717400142

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