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
Published in:Crime and delinquency 2023-11, Vol.69 (12), p.2614-2638
Main Authors: Benanzer, Hillary L., Anderson, Valerie R., Hayes, Brittany E.
Format: Article
Language:English
Subjects:
Arrests
Human trafficking
Humans
Kidnapping
Slavery
Social capital
Social disorganization
Trafficking
Variables
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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:0011-1287
1552-387X
DOI:10.1177/00111287221084292