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...
| Authors: | ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Published: |
2023
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| In: |
Crime & delinquency
Year: 2023, Volume: 69, Issue: 12, Pages: 2614-2638 |
| Online Access: |
Volltext (lizenzpflichtig) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
MARC
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| 245 | 1 | 0 | |a County-level Correlates of Human Trafficking Arrest Levels in Ohio |b social Disorganization, Social Capital, and Physical Contexts |c Hillary L. Benanzer, Valerie R. Anderson, and Brittany E. Hayes |
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| 520 | |a 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. | ||
| 650 | 4 | |a Human Trafficking | |
| 650 | 4 | |a Social Disorganization | |
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| 700 | 1 | |a Hayes, Brittany E. |e VerfasserIn |0 (DE-588)1313960357 |0 (DE-627)1876318007 |4 aut | |
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