How immigration, level of unemployment, and income inequality affect crime in Europe
Research examining the immigration and crime connection has proliferated, stimulating a vigorous debate among academics and politicians alike. Researchers are examining this relationship at both individual and aggregate levels. However, studies continue to provide often contradictory results. Using...
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| Contributors: | ; |
| Format: | Electronic Article |
| Language: | English |
| Published: |
2024
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| In: |
Crime, law and social change
Year: 2024, Volume: 82, Issue: 2, Pages: 363-385 |
| Online Access: |
Volltext (lizenzpflichtig) |
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MARC
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| 100 | 1 | |a Coccia, Mario |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a How immigration, level of unemployment, and income inequality affect crime in Europe |c Mario Coccia, Ellen G. Cohn, Suman Kakar |
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| 520 | |a Research examining the immigration and crime connection has proliferated, stimulating a vigorous debate among academics and politicians alike. Researchers are examining this relationship at both individual and aggregate levels. However, studies continue to provide often contradictory results. Using Eurostat data over 2017–2020 on crime rates, GDP per capita, income inequality, unemployment rates, and immigration in 38 European countries, this study examines the link between crime and immigration in the context of socioeconomic variables. The main goal is to identify and analyze possible relationships between immigration, unemployment, and crime in Europe. The statistical evidence appears in general to support the hypothesis that the level of crime in Europe during the time period under study can be explained by the level of immigration in the context of country-wide sociodemographic factors. Results show that the homicide rate is significantly associated negatively with immigration (r = − 0.15), GDP per capita (r = − 0.41), and positively associated with both unemployment (r=0.22) and income inequality (r=0.34). Sexual violence rate is significantly and positively associated with immigation (r=0.20) and GDP per capita (r=0.71), and negatively associated with unemployment (r=-0.36) and income inequality (r=-0.41). Finally theft has the same associations and directions as that of sexual violence for all variables, except GDP per capita. The results are discussed in the context of some criminological theories of strain and relative deprivation to suggest policy implications. | ||
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