Xenophobic and racially motivated crime in Belgium: exploratory spatial data analysis and spatial regressions of structural covariates

This study employs exploratory spatial data analysis and spatial count regression models to examine xenophobic and racially motivated crimes in Belgium between 2000 and 2012. Drawing upon recent work, we conceptualize and operationalize hate crime in multiple ways, reflecting "spaces of hate,&q...

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Bibliographic Details
Published in:Deviant behavior 2018-11, Vol.39 (11), p.1398-1418
Main Authors: Piatkowska, Sylwia J., Messner, Steven F., Yang, Tse-Chuan
Format: Article
Language:English
Subjects:
Criminal statistics
Data analysis
Hate crimes
Racism
Regions
Spatial data
Victimization
Xenophobia
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Summary:This study employs exploratory spatial data analysis and spatial count regression models to examine xenophobic and racially motivated crimes in Belgium between 2000 and 2012. Drawing upon recent work, we conceptualize and operationalize hate crime in multiple ways, reflecting "spaces of hate," victimization risks, and risks adjusted for random interactions. The results reveal that hate crimes exhibit a distinct spatial imprint, which corresponds to Belgium's geographic regions. The findings also reaffirm previous research, indicating that the choice of the offset in the computation of hate crime rates is highly consequential for assessing the impact of relative group size.
ISSN:0163-9625
1521-0456
DOI:10.1080/01639625.2018.1479917