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...
| 1. VerfasserIn: | |
|---|---|
| Beteiligte: | ; |
| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
2023
|
| In: |
Crime & delinquency
Jahr: 2023, Band: 69, Heft: 12, Seiten: 2614-2638 |
| Online-Zugang: |
Volltext (lizenzpflichtig) |
| Journals Online & Print: | Lade...
|
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
| 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 |