RT Article
T1 County-level Correlates of Human Trafficking Arrest Levels in Ohio: social Disorganization, Social Capital, and Physical Contexts
JF Crime & delinquency
VO 69
IS 12
SP 2614
OP 2638
A1 Benanzer, Hillary
A2 Anderson, Valerie
A2 Hayes, Brittany E.
LA English
YR 2023
UL https://krimdok.uni-tuebingen.de/Record/1869431162
AB 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.
K1 Human Trafficking
K1 Social Disorganization
K1 Social Capital
K1 demand reduction
K1 anti-human trafficking efforts
DO 10.1177/00111287221084292