Although human trafficking continues to be a growing problem around the world, there are scarce quantitative methodologies for evidence-based research because it is hard to gather reliable and comparable data on human trafficking. It is also difficult to track patterns in human trafficking on a regional or global scale because the victims are a vulnerable population. Using Datta and Bales conceptualization of modern slavery as the theoretical foundation, the primary purpose of this study was to establish a baseline measurement of trafficking predictors in the Middle East North Africa (MENA) as well as understand the statistical relationship between measurements of corruption, democracy, state of peace, and terrorism on the prevalence of contemporary slavery in the MENA region. Data were collected from the 2016 Global Terrorism Index, 2016 Democracy Index, 2016 Corruption Perception Index, 2016 Global Slavery Index, and the 2016 Global Peace Index and analyzed using multiple linear regression. The results of the study showed that corruption (p=.017) and state of peace (p=.039) were significant predictors for contemporary slavery in the MENA region. Whereas, terrorism and democracy were not significant predictors. The positive social change implications of this study include recommendations to the United Nations Office on Drugs and Crime (UNODC) to create a central repository for the archival of human trafficking data. The creation of this archive will promote a more accurate accounting of a vulnerable population such as victims of trafficking, thereby increasing awareness of contemporary slavery among law enforcement, policy makers, and scholars.
|Commitee:||Starks, Glenn, Walker, John|
|School Location:||United States -- Minnesota|
|Source:||DAI-A 79/09(E), Dissertation Abstracts International|
|Subjects:||Criminology, Public policy|
|Keywords:||Contemporary slavery, Human trafficking, Mena, Middle east north africa, Modern day slavery, Modern slavery|
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