犯罪与经济发展之间的联系:欧盟分类

Equilibrium Pub Date : 2022-12-30 DOI:10.24136/eq.2022.031
Rita Remeikienė, Gasparėnienė Ligita, Aleksandra Fedajev, Evaldas Raistenskis, A. Kriviņš
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引用次数: 6

摘要

研究背景:尽管一些作者提出,经济增长应该降低犯罪率,因为以合法方式赚钱的机会越来越多,减少了从事非法活动的动机,并导致后者的成本上升,但许多研究的结果表明,在经济增长的条件下,犯罪率的上升也是可能的。对于各种经济指标与犯罪率之间的关系,以及上述现象在长期和短期内的关系性质,也有不同的看法。本文目的:在对欧盟成员国的犯罪和经济指标进行分类后,本文的主要目的是评估犯罪与经济发展之间的关系,并确定这种关系的原因。方法:系统文献分析和比较文献分析,普罗米修斯法和熵法,斯皮尔曼?S相关系数。结果和附加值:普罗米修斯法与熵法一起用于估计欧盟成员国在犯罪和经济发展指标方面的权重。葡萄牙、西班牙和斯洛伐克共和国的差异最为明显。欧盟成员国的排名显示,尽管经济状况会影响犯罪率,但也会受到文化和政治发展差异的影响。科学的新颖性在于补充了影子经济理论,结果表明,在检验经济发展与犯罪之间的关系时,与其他犯罪相比,腐败具有最大的权重。本研究的现实意义在于考虑到犯罪与经济发展之间的关系,将欧盟成员国分为4类,这有助于公共当局根据犯罪与经济发展之间关系的性质,制定有效打击犯罪的目标措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Links between crime and economic development: EU classification
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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