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...

Descripción completa

Guardado en:  
Detalles Bibliográficos
Autor principal: Benanzer, Hillary (Autor)
Otros Autores: Anderson, Valerie ; Hayes, Brittany E.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2023
En: Crime & delinquency
Año: 2023, Volumen: 69, Número: 12, Páginas: 2614-2638
Acceso en línea: Volltext (lizenzpflichtig)
Journals Online & Print:
Gargar...
Verificar disponibilidad: HBZ Gateway
Palabras clave:
Descripción
Sumario: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