Links between crime and economic development: EU classification
DOI:
https://doi.org/10.24136/eq.2022.031Keywords:
crime, economic development, growth, EU, multi-criteria decision-making (MCDM), Promethee method, Entropy methodAbstract
Research background: Although some authors propose that economic growth should reduce crime rates as wider opportunities to earn money in a legal way diminish the incentives to commit illegal activities and lead to rising costs of the latter, the results of many studies indicate that an increase in crime rates is also possible under the conditions of economic growth. There are also differing views on the relationship between various economic indicators and crime rates as well as the nature of the relationship between the above-mentioned phenomena in the long and short run.
Purpose of the article: After classifying the EU member states by their crime and economic indicators, the main objective of the article is to assess the relationship between the crime and economic development and identify the causes of this relationship.
Methods: Systematic and comparative literature analysis, the Promethee and Entropy methods, Spearman?s correlation coefficient.
Findings & value added: The Promethee method, together with the Entropy method, were used to estimate the weights of the EU member states with respect to their crime and economic development indicators. The most pronounced differences were recorded in Portugal, Spain, and the Slovak Republic. The rankings estimated for the EU member states revealed that although economic situation affects crime rate, it can also be affected by the differences in cultural and political development. Scientific novelty lies in complementing the theory of the shadow economy with the results showing that compared to other crimes, corruption has the greatest weight when examining the relationship between economic development and crime. The practical significance of the research lies in classifying the EU member states into 4 groups with consideration of the relationship between crime and economic development, which may help public authorities to devise the target measures for the effective fight against crime given the nature of the relationship between crime and economic development.
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References
Abdullah, L., Chan, W., & Afshari, A. (2019). Application of PROMETHEE meth-od for green supplier selection: a comparative result based on preference func-tions. Journal of Industrial Engineering International, 15(2), 271?285. doi: 10.1007/s40092-018-0289-z. DOI: https://doi.org/10.1007/s40092-018-0289-z
View in Google Scholar
Ahven, A. (2018). Overview of crime. Retrieved from: https://www.kriminaalp oliitika.ee/sites/krimipoliitika/files/elfinder/dokumendid/overview_of_crime_chapter_2.pdf (18.10.2021).
View in Google Scholar
Bajada, C., & Shashnov, M. (2019). The effects of economic development and the evolution of social institutions on the level of corruption: comparing the Asia-Pacific with other regional blocs. Asia Pacific Business Review, 25(4), 470?500. doi: 10.1080/13602381.2019.1589768. DOI: https://doi.org/10.1080/13602381.2019.1589768
View in Google Scholar
Becker, G. S. (1968). Crime and punishment: an economic approach. Journal of Political Economy, 76(2), 169?217. DOI: https://doi.org/10.1086/259394
View in Google Scholar
Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROME-THEE: a comprehensive literature review on methodologies and applications. European Journal of Operational research, 200(1), 198?215. doi: 10.1016/j.ejo r.2009.01.021. DOI: https://doi.org/10.1016/j.ejor.2009.01.021
View in Google Scholar
Bonger, W. A. (1916). Criminality and economic conditions. Boston: Little, Brown, and Company.
View in Google Scholar
Brans, J. P., Vincke, P., & Mareschal, B. (1986). How to select and how to rank projects: the PROMETHEE method. European Journal of Operational Research, 24(2), 228?238. doi: 10.1016/0377-2217(86)90044-5. DOI: https://doi.org/10.1016/0377-2217(86)90044-5
View in Google Scholar
Cantor, D., & Land, K. C. (1985). Unemployment and crime rates in post-World War II United States: a theoretical and empirical analysis. American Sociological Review, 50, 317?332. DOI: https://doi.org/10.2307/2095542
View in Google Scholar
Cardenas, M. (2007). Economic growth in Columbia: a reversal of fortune? Ensayos Sobre Poltíica Económica, 25, 220?259. DOI: https://doi.org/10.32468/Espe.5305
View in Google Scholar
Corruption Perception Index for Western Europe & European Union: trouble ahead for stagnating region (2021). Retrieved from https://www.transparency.org/ en/news/cpi-2021-western-europe-european-union-trouble-ahead-for-stagnating -region (16.08.2021).
View in Google Scholar
Debnath, A., & Das, S. (2017). Relationship between crime and economic afflu-ence in India: an empirical study from 1982 to 2013. Journal of Criminologi-cal Research, Policy and Practice, 3(1), 27?37. doi: 10.1108/JCRPP-05-2016-00 07. DOI: https://doi.org/10.1108/JCRPP-05-2016-0007
View in Google Scholar
Detotto, C., & Otranto, E. (2010). Does crime affect economic growth? Kyklos, 63, 330?345. doi: 10.1111/j.1467-6435.2010.00477.x. DOI: https://doi.org/10.1111/j.1467-6435.2010.00477.x
View in Google Scholar
DiRienzo, C. E., & Das, J. (2022). Shadow economies: the role of corruption and economic development. Global Change, Peace & Security, 34(1), 1?15. doi: 10.1080/14781158.2022.2031948. DOI: https://doi.org/10.1080/14781158.2022.2031948
View in Google Scholar
Economist (2011). America's falling crime rate. Good news is no news. Retrieved from https://www.economist.com/united-states/2011/06/02/good-news-is-no-news (12.07.2022).
View in Google Scholar
Europol (2013). Threat assessment Italian organized crime. EDOC#667574 v8. Retrieved from https://www.europol.europa.eu/sites/default/files/documents/ italian_organised_crime_threat_assessment_0.pdf (12.07.2021).
View in Google Scholar
European Commission (2018). Country report Slovenia 2018 including an in-depth review on the prevention and correction of macroeconomic imbalances. Retrieved from https://ec.europa.eu/info/sites/default/files/2018-european-semeste r-country-report-slovenia-en.pdf (14.07.2022).
View in Google Scholar
Finklea, K. M. (2011). Economic downturns and crime. Retrieved from https://sgp.fas.org/crs/misc/R40726.pdf (13.07.2022).
View in Google Scholar
Freedman, M., & Owens. E. (2016). Your friends and neighbors: localized econom-ics development and criminal activity. Review of Economics and Statistics, 98(2), 233?253. doi: 10.1162/REST_a_00484. DOI: https://doi.org/10.1162/REST_a_00484
View in Google Scholar
Goswami, P. (1964). Criminology. Allahabad: Kitab Mahal.
View in Google Scholar
Ha, O. K. (2015). Re-evaluating the Cantor and Land (1985) model of unem-ployment and crime: a multilevel analysis of multiple economic measures. Retrieved from https://summit.sfu.ca/item/16154 (10.06.2022).
View in Google Scholar
International Monetary Fund (2017). IMF data. Retrieved from https://www.imf. org/en/Data (15.02.2022).
View in Google Scholar
ILOSTAT (2017). Data. Retrieved from https://ilostat.ilo.org/data/ (12.03.2022).
View in Google Scholar
Ivanov, K. (2010). The 2007 accession of Bulgaria and Romania: ritual and reali-ty. Global Crime, 11(2), 210?219. doi: 10.1080/17440571003669217. DOI: https://doi.org/10.1080/17440571003669217
View in Google Scholar
Jalles, J. T., & Andresen, M. A. (2017). Understanding the relationship between the economy and crime: Canadian provinces, 1981-2009. International Journal of Social Economics, 44(9), 1268?1288. doi: 10.1108/IJSE-12-2015-0328. DOI: https://doi.org/10.1108/IJSE-12-2015-0328
View in Google Scholar
James, A., & Smith, B. (2017). There will be blood: crime rates in Shale-Rich US counties. Journal of Environmental Economics and Management, 84, 125?152. doi: 10.1016/j.jeem.2016.12.004. DOI: https://doi.org/10.1016/j.jeem.2016.12.004
View in Google Scholar
Jin, H., Qian, X., Chin, T., & Zhang, H. (2020). A global assessment of sustainable development based on modification of the human development index via the entropy method. Sustainability, 12(8), 3251. doi: 10.3390/su12083251. DOI: https://doi.org/10.3390/su12083251
View in Google Scholar
Kamari, M. L., Isvand, H., & Nazari, M. A. (2020). Applications of multi-criteria decision-making (MCDM) methods in renewable energy development: a re-view. Renewable Energy Research and Application, 1(1), 47?54. doi: 10.22044/rera.2020.8541.1006.
View in Google Scholar
Krstić, S., & Fedajev, A. (2020). The role and importance of large companies in the economy of the Republic of Serbia. Serbian Journal of Management, 15(2), 335?352. doi: 10.5937/sjm15-19553. DOI: https://doi.org/10.5937/sjm15-19553
View in Google Scholar
Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustaina-ble renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596?609. doi: 10.1016/j.rser.2016.11.191. DOI: https://doi.org/10.1016/j.rser.2016.11.191
View in Google Scholar
Kusuma, H., Hariyani, H. F., & Hidayat, W. (2018). The relationship between crime and economics growth in Indonesia. Retrieved from https://knepublish ing.com/index.php/Kne-Social/article/view/4271/8772 (15.05.2022).
View in Google Scholar
Lappi-Seppälä, T. (2012). Criminology, crime and criminal justice in Finland. Eu-ropean Journal of Criminology, 9(2), 206?222. doi: 10.1177/14773708114 24372. DOI: https://doi.org/10.1177/1477370811424372
View in Google Scholar
Lindav, B. (2019). Crime in Slovenia in 2018. Journal of Criminal Investigation and Criminology, 70, 3.
View in Google Scholar
Mohammed, M. I., Hossein, A., & Nwokolo, C. C. (2022). Organized crime, corrup-tion and the challenges of economic growth in the economic community of West African states. Journal of Financial Crime, 29(3), 1091?1101. doi: 10.11 08/JFC-05-2021-0115. DOI: https://doi.org/10.1108/JFC-05-2021-0115
View in Google Scholar
Mulok, D., Kogid, M., Lily, J., & Asid, R. (2016). The relationship between crime and economic growth in Malaysia: re-examine using Bound Test approach. Malaysian Journal of Business and Economics 3(1), 15?26. doi: 10.51200/mjb e.v0i0.541.
View in Google Scholar
Murat, S., Kazan, H., & Coskun, S. S. (2015). An application for measuring per-formance quality of schools by using the PROMETHEE multi-criteria decision making method. Procedia-Social and Behavioral Sciences, 195, 729?738. doi: 10.1016/j.sbspro.2015.06.344. DOI: https://doi.org/10.1016/j.sbspro.2015.06.344
View in Google Scholar
OECD Economic Surveys Slovak Republic (2019). Retrieved from: https://www.oecd.org/economy/surveys/Slovak-Republic-2019-OECD-econom ic-survey-overview.pdf (12.07.2022).
View in Google Scholar
Redondo, S., Gonçalves, R. A., Nistal, J., Soler, C., Moreira, J. S., Andrade, J., & Andrés-Pueyo, A. (2020). Corrections and crime in Spain and Portugal during the Covid-19 pandemic: impact, prevention and lessons for the future. Victims & Offenders, 15(7-8), 1156?1185. doi: 10.1080/15564886.2020.1827108. DOI: https://doi.org/10.1080/15564886.2020.1827108
View in Google Scholar
Rocque, M., Saunoris, J. W., & Marshall, E. C. (2019). Revisiting the relationship between the economy and crime: the role of the shadow economy. Justice Quarterly, 36(4), 620?655. doi: 10.1080/07418825.2018.1424230. DOI: https://doi.org/10.1080/07418825.2018.1424230
View in Google Scholar
Parida, Y., Bhardwaj, P., & Chowdhury, J. R. (2018). Effects of economic devel-opment and crime on tourism in India. Anatolia, 29(1), 63?73. doi: 10.1080/1 3032917.2017.1384742. DOI: https://doi.org/10.1080/13032917.2017.1384742
View in Google Scholar
Pashev, K. I. (2011). Corruption and accession. Public Management Review, 13(3), 409?432, doi: 10.1080/14719037.2011.553270. DOI: https://doi.org/10.1080/14719037.2011.553270
View in Google Scholar
Polat, G. (2016). Subcontractor selection using the integration of the AHP and PROMETHEE methods. Journal of Civil Engineering and Management, 22(8), 1042?1054. doi: 10.3846/13923730.2014.948910. DOI: https://doi.org/10.3846/13923730.2014.948910
View in Google Scholar
Puig, S., & Sanchez, A. (2018). Portugal versus Spain: an Iberian economic saga. ARI 96/2018 - 6/8/2018. Retrieved from https://media.realinstitutoelcan o.org/wp-content/uploads/2021/11/ari96-2018-puig-sanchez-portugal-versus-sp ain-iberian-economic-saga.pdf (20.09.2021).
View in Google Scholar
Quan, X., Dong, X. Y., Ke, Y., Zhang; L. Y., & Xu, Y. H. (2021). Comprehensive evaluation of urban economic development in Yangtze River Delta based on cluster-principal component analysis. Complexity, 2021, 3328761. doi: 10.115 5/2021/3328761. DOI: https://doi.org/10.1155/2021/3328761
View in Google Scholar
Saddiq, S. A., & Abu Bakar, A. S. (2019). Impact of economic and financial crimes on economic growth in emerging and developing countries: a systematic review. Journal of Financial Crime, 26(3), 910?920. doi: 10.1108/jfc-10-2018-0112. DOI: https://doi.org/10.1108/JFC-10-2018-0112
View in Google Scholar
Santos, M. R., Weiss, D. B., & Testa, A. (2022). International migration and cross-national homicide: considering the role of economic development. International Journal of Comparative and Applied Criminal Justice, 46(2), 119?139. doi: 10.1080/01924036.2020.1844250. DOI: https://doi.org/10.1080/01924036.2020.1844250
View in Google Scholar
Sarvaria, R. (2019). Crime as a choice: crime and economic conditions. Retrieved from https://criminallawstudiesnluj.wordpress.com/2019/07/10/crime-as-a-choi ce-crime-and-economic-conditions/ (19.06.2022).
View in Google Scholar
Siksnelyte-Butkiene, I., Zavadskas, E. K., & Streimikiene, D. (2020). Multi-criteria decision-making (MCDM) for the assessment of renewable energy technologies in a household: a review. Energies, 13(5), 1164. doi: 10.3390/en13051 164. DOI: https://doi.org/10.3390/en13051164
View in Google Scholar
Street, B. (2019). The impact of economic activity on criminal behaviour: evi-dence from the fracking boom. Retrieved from: https://www.thecgo.org/research/the-impact-of-economic-activity-on-criminal-behavior-evidence-from-the-fracking-boom/ (08.06.2022). DOI: https://doi.org/10.2139/ssrn.4542165
View in Google Scholar
Sutherland, E. H., Cressey, D. R., & Luckenbill, D. (1992). Principles of criminolo-gy. New York: Dix Hills, General Hall.
View in Google Scholar
Suve, P., Selg, P., & Sootla, G. (2016). Two decades of Estonian police and the (ir)relevance of police models for the development of safety policy. Studies of Transition States and Societies, 8(1), 36?52. DOI: https://doi.org/10.1515/bjlp-2015-0010
View in Google Scholar
Tuzkaya, G., Gülsün, B., Kahraman, C., & Özgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert systems with applications, 37(4), 2853?2863. doi: 10.1016/j.eswa.2009.09.004. DOI: https://doi.org/10.1016/j.eswa.2009.09.004
View in Google Scholar
Vidal, E. L. K. (2015). Violence in Mexico: an economic rationale of crime and its impacts. EconoQuantum, 12(2), 93?108. DOI: https://doi.org/10.18381/eq.v12i2.4862
View in Google Scholar
Villacreses, G., Gaona, G., Martínez-Gómez, J., & Jijón, D. J. (2017). Wind farms suitability location using geographical information system (GIS), based on mul-ti-criteria decision making (MCDM) methods: the case of continental Ecuador. Renewable Energy, 109, 275?286. doi: 10.1016/j.renene.2017.03.041. DOI: https://doi.org/10.1016/j.renene.2017.03.041
View in Google Scholar
Vuorela, M. (2017). The historical criminal statistics of Finland 1842-2015: a sys-tematic comparison to Sweden, International Journal of Comparative and Applied Criminal Justice, 42(2), 1?23. doi: 10.1080/01924036.2017.1295395. DOI: https://doi.org/10.1080/01924036.2017.1295395
View in Google Scholar
Zhilla, F. (2011). Organised crime and judicial corruption in the Western Balkans: are customary norms playing any role? Journal of Financial Crime, 18(4), 387 ? 404. doi: 10.1108/13590791111173713. DOI: https://doi.org/10.1108/13590791111173713
View in Google Scholar
Xenakis, S., & Cheliotis, L. K. (2012). The politics of rime and the financial crisis in Greece. European Society of Criminology, 11(2), 5?9.
View in Google Scholar
Wang, M., Zhao, X., Gong, Q., & Ji, Z. (2019). Measurement of regional green economy sustainable development ability based on entropy weight-topsis-coupling coordination degree - a case study in Shandong Province, China. Sustainability, 11(1), 280. doi: 10.3390/su11010280. DOI: https://doi.org/10.3390/su11010280
View in Google Scholar
Wang, T. (2020). Fewer women doing more crime: how has the one-child policy affected female crime in China? Sociological Quarterly, 6(1), 87?106. doi: 10.1080/00380253.2019.1581035. DOI: https://doi.org/10.1080/00380253.2019.1581035
View in Google Scholar
World Bank (2017). World bank open data. Retrieved from https://data.worldbank.org/ (21.07.2021).
View in Google Scholar
