Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2022 | 17 | 4 | 909-938

Article title

Links between crime and economic development: EU classification

Content

Title variants

Languages of publication

Abstracts

EN
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.

Year

Volume

17

Issue

4

Pages

909-938

Physical description

Dates

published
2022

Contributors

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.
  • 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).
  • 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.
  • Becker, G. S. (1968). Crime and punishment: an economic approach. Journal of Political Economy, 76(2), 169?217.
  • 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.
  • Bonger, W. A. (1916). Criminality and economic conditions. Boston: Little, Brown, and Company.
  • 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.
  • 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.
  • Cardenas, M. (2007). Economic growth in Columbia: a reversal of fortune? Ensayos Sobre Poltíica Económica, 25, 220?259.
  • 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).
  • 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.
  • Detotto, C., & Otranto, E. (2010). Does crime affect economic growth? Kyklos, 63, 330?345. doi: 10.1111/j.1467-6435.2010.00477.x.
  • 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.
  • 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).
  • 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).
  • 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).
  • Finklea, K. M. (2011). Economic downturns and crime. Retrieved from https://sgp.fas.org/crs/misc/R40726.pdf (13.07.2022).
  • 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.
  • Goswami, P. (1964). Criminology. Allahabad: Kitab Mahal.
  • 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).
  • International Monetary Fund (2017). IMF data. Retrieved from https://www.imf. org/en/Data (15.02.2022).
  • ILOSTAT (2017). Data. Retrieved from https://ilostat.ilo.org/data/ (12.03.2022).
  • Ivanov, K. (2010). The 2007 accession of Bulgaria and Romania: ritual and reali-ty. Global Crime, 11(2), 210?219. doi: 10.1080/17440571003669217.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • Lindav, B. (2019). Crime in Slovenia in 2018. Journal of Criminal Investigation and Criminology, 70, 3.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • Pashev, K. I. (2011). Corruption and accession. Public Management Review, 13(3), 409?432, doi: 10.1080/14719037.2011.553270.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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).
  • Sutherland, E. H., Cressey, D. R., & Luckenbill, D. (1992). Principles of criminolo-gy. New York: Dix Hills, General Hall.
  • 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.
  • 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.
  • Vidal, E. L. K. (2015). Violence in Mexico: an economic rationale of crime and its impacts. EconoQuantum, 12(2), 93?108.
  • 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.
  • 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.
  • 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.
  • Xenakis, S., & Cheliotis, L. K. (2012). The politics of rime and the financial crisis in Greece. European Society of Criminology, 11(2), 5?9.
  • 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.
  • 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.
  • World Bank (2017). World bank open data. Retrieved from https://data.worldbank.org/ (21.07.2021).

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
22443129

YADDA identifier

bwmeta1.element.ojs-doi-10_24136_eq_2022_031
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.