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DC Field | Value | Language |
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dc.contributor.author | Sypion, Natalia | - |
dc.contributor.author | Terefenko, Paweł | - |
dc.contributor.author | Leitner, Michael | - |
dc.contributor.author | Dutkowski, Marek | - |
dc.contributor.author | Łysko, Andrzej | - |
dc.contributor.author | Komorowski, Tomasz M. | - |
dc.date.accessioned | 2024-09-30T08:31:34Z | - |
dc.date.available | 2024-09-30T08:31:34Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Sypion, N., Terefenko, P., Leitner, M., Dutkowski, M., Łysko, A., & Komorowski, T. M. (2024). What determines crime : prosperity or poverty? European Research Studies Journal, 27(2), 394-424. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/127012 | - |
dc.description.abstract | PURPOSE: The purpose of this study was to identify the socioeconomic determinants of crime on a local scale. Three research questions were asked. (1) Do prosperity or poverty indicators better determine crime? (2) Which socioeconomic variables are most strongly correlated with crime? (3) Which types of crimes are most influenced by socioeconomic variables? | en_GB |
dc.description.abstract | DESIGN/METHODOLOGY/APPROACH: The research area was Szczecin in Poland (population of approximately 400,000). The dependent variables included six crime types reported in 2017, and the independent variables included three indicators of poverty and three indicators of prosperity. The dataset was analyzed using linear regression and random forest approaches to further investigate the statistical characteristics of variables, obtaining the following answers to our research questions obtained. | en_GB |
dc.description.abstract | FINDINGS: (1) The variables of poverty determine the occurrence of crime more than those related to prosperity. (2) The variables of poverty related to low income, including population assisted by the Municipal Family Assistance Center per 1,000 persons and unemployment per 1,000 persons have the strongest influence on crime. (3) Drug crimes per 1,000 persons are the most strongly influenced by socioeconomic variables, while theft of property per 1,000 persons revealed no impact. | en_GB |
dc.description.abstract | PRACTICAL IMPLICATIONS: The study highlights the strong influence of poverty, particularly unemployment, on crime rates and suggests limited impact of prosperity on crime prevention. | en_GB |
dc.description.abstract | ORIGINALITY/VALUE: The article presents the results of own desk research. The issue presented has not previously been addressed in discussions published internationally. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | University of Piraeus. International Strategic Management Association | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Crime -- Sociological aspects | en_GB |
dc.subject | Crime -- Economic aspects | en_GB |
dc.subject | Criminal statistics | en_GB |
dc.subject | Regression analysis | en_GB |
dc.subject | Poverty | en_GB |
dc.title | What determines crime : prosperity or poverty? | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.35808/ersj/3409 | - |
dc.publication.title | European Research Studies Journal | en_GB |
Appears in Collections: | European Research Studies Journal, Volume 27, Issue 2 |
Files in This Item:
File | Description | Size | Format | |
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ERSJ27(2)A24.pdf | 1.88 MB | Adobe PDF | View/Open |
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