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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Veröffentlicht in: | Crime, law, and social change law, and social change, 2024-09, Vol.82 (2), p.363-385 |
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description | 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. |
doi_str_mv | 10.1007/s10611-024-10144-y |
format | Article |
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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.</description><identifier>ISSN: 0925-4994</identifier><identifier>EISSN: 1573-0751</identifier><identifier>DOI: 10.1007/s10611-024-10144-y</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Academic staff ; Crime ; Criminal Law and Criminal Procedure Law ; Criminal statistics ; Criminology and Criminal Justice ; Deprivation ; GDP ; Gross Domestic Product ; Homicide ; Immigration ; Immigration policy ; Income inequality ; Law and Criminolgy ; Per capita ; Political Science ; Relative deprivation ; Sex crimes ; Sexual violence ; Social Sciences ; Sociodemographics ; Socioeconomic factors ; Theft ; Unemployment ; Variables ; Violence</subject><ispartof>Crime, law, and social change, 2024-09, Vol.82 (2), p.363-385</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-2a5f504d30671594a1ccad5ccd362f192ce4c715d6fa88fef23e82c96f0c96463</cites><orcidid>0000-0002-4636-1368</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10611-024-10144-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10611-024-10144-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27864,27922,27923,33772,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Coccia, Mario</creatorcontrib><creatorcontrib>Cohn, Ellen G.</creatorcontrib><creatorcontrib>Kakar, Suman</creatorcontrib><title>How immigration, level of unemployment, and income inequality affect crime in Europe</title><title>Crime, law, and social change</title><addtitle>Crime Law Soc Change</addtitle><description>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.</description><subject>Academic staff</subject><subject>Crime</subject><subject>Criminal Law and Criminal Procedure Law</subject><subject>Criminal statistics</subject><subject>Criminology and Criminal Justice</subject><subject>Deprivation</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Homicide</subject><subject>Immigration</subject><subject>Immigration policy</subject><subject>Income inequality</subject><subject>Law and Criminolgy</subject><subject>Per capita</subject><subject>Political Science</subject><subject>Relative deprivation</subject><subject>Sex crimes</subject><subject>Sexual violence</subject><subject>Social Sciences</subject><subject>Sociodemographics</subject><subject>Socioeconomic factors</subject><subject>Theft</subject><subject>Unemployment</subject><subject>Variables</subject><subject>Violence</subject><issn>0925-4994</issn><issn>1573-0751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>7UB</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9kE9LAzEQxYMoWKtfwFPAa6OTv9s9SqlWKHip5xCySdmyu2mTXWW_vbErePMyD2bemxl-CN1TeKQAxVOioCglwAShQIUg4wWaUVlwAoWkl2gGJZNElKW4RjcpHQCyi6sZ2m3CF67btt5H09ehW-DGfboGB4-HzrXHJoyt6_oFNl2F686G1mVxp8E0dT9i472zPbaxPvfxeojh6G7RlTdNcne_OkcfL-vdakO2769vq-ctsayAnjAjvQRRcVAFlaUw1FpTSWsrrpinJbNO2DyplDfLpXeecbdktlQechGKz9HDtPcYw2lwqdeHMMQun9Q8Y1BSMg7ZxSaXjSGl6Lw-5ndNHDUF_UNPT_R0pqfP9PSYQ3wKpWzu9i7-rf4n9Q1_e3MM</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Coccia, Mario</creator><creator>Cohn, Ellen G.</creator><creator>Kakar, Suman</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>7U4</scope><scope>7UB</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DHY</scope><scope>DON</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>K7.</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0002-4636-1368</orcidid></search><sort><creationdate>20240901</creationdate><title>How immigration, level of unemployment, and income inequality affect crime in Europe</title><author>Coccia, Mario ; Cohn, Ellen G. ; Kakar, Suman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-2a5f504d30671594a1ccad5ccd362f192ce4c715d6fa88fef23e82c96f0c96463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Academic staff</topic><topic>Crime</topic><topic>Criminal Law and Criminal Procedure Law</topic><topic>Criminal statistics</topic><topic>Criminology and Criminal Justice</topic><topic>Deprivation</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Homicide</topic><topic>Immigration</topic><topic>Immigration policy</topic><topic>Income inequality</topic><topic>Law and Criminolgy</topic><topic>Per capita</topic><topic>Political Science</topic><topic>Relative deprivation</topic><topic>Sex crimes</topic><topic>Sexual violence</topic><topic>Social Sciences</topic><topic>Sociodemographics</topic><topic>Socioeconomic factors</topic><topic>Theft</topic><topic>Unemployment</topic><topic>Variables</topic><topic>Violence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coccia, Mario</creatorcontrib><creatorcontrib>Cohn, Ellen G.</creatorcontrib><creatorcontrib>Kakar, Suman</creatorcontrib><collection>CrossRef</collection><collection>PAIS Index</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Worldwide Political Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Crime, law, and social change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coccia, Mario</au><au>Cohn, Ellen G.</au><au>Kakar, Suman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How immigration, level of unemployment, and income inequality affect crime in Europe</atitle><jtitle>Crime, law, and social change</jtitle><stitle>Crime Law Soc Change</stitle><date>2024-09-01</date><risdate>2024</risdate><volume>82</volume><issue>2</issue><spage>363</spage><epage>385</epage><pages>363-385</pages><issn>0925-4994</issn><eissn>1573-0751</eissn><abstract>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.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10611-024-10144-y</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-4636-1368</orcidid></addata></record> |
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source | PAIS Index; Worldwide Political Science Abstracts; Sociological Abstracts; SpringerLink Journals - AutoHoldings |
subjects | Academic staff Crime Criminal Law and Criminal Procedure Law Criminal statistics Criminology and Criminal Justice Deprivation GDP Gross Domestic Product Homicide Immigration Immigration policy Income inequality Law and Criminolgy Per capita Political Science Relative deprivation Sex crimes Sexual violence Social Sciences Sociodemographics Socioeconomic factors Theft Unemployment Variables Violence |
title | How immigration, level of unemployment, and income inequality affect crime in Europe |
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