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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1. VerfasserIn: Benanzer, Hillary (VerfasserIn)
Beteiligte: Anderson, Valerie ; Hayes, Brittany E.
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2023
In: Crime & delinquency
Jahr: 2023, Band: 69, Heft: 12, Seiten: 2614-2638
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Zusammenfassung: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