County-level Correlates of Human Trafficking Arrest Levels in Ohio: social Disorganization, Social Capital, and Physical Contexts

The present study investigated county-level correlates of human trafficking arrest levels in Ohio. Study variables were comprised of measures derived from social disorganization, social capital, and physical contexts of Ohio counties (N = 88). A negative binomial regression analysis was conducted to...

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Bibliographic Details
Authors: Benanzer, Hillary (Author) ; Anderson, Valerie (Author) ; Hayes, Brittany E. (Author)
Format: Electronic Article
Language:English
Published: 2023
In: Crime & delinquency
Year: 2023, Volume: 69, Issue: 12, Pages: 2614-2638
Online Access: Volltext (lizenzpflichtig)
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Summary:The present study investigated county-level correlates of human trafficking arrest levels in Ohio. Study variables were comprised of measures derived from social disorganization, social capital, and physical contexts of Ohio counties (N = 88). A negative binomial regression analysis was conducted to examine the relationship between county arrest counts and independent variables. Larger counts of human trafficking arrests were explained by higher levels of racial/ethnic heterogeneity, a social disorganization measure. Additionally, an increase in demand reduction strategy use was associated with a predicted increase in human trafficking arrest count. Further research on the influence of social variables and anti-human trafficking efforts on human trafficking arrest levels is needed to better understand how to effectively identify and combat human trafficking.
ISSN:1552-387X
DOI:10.1177/00111287221084292