What Determines the Crime Rate? A Macroeconomic Case Study

IF 2.1 Q2 ECONOMICS
Tomas Karpavicius, Andriy Stavytskyy, Vincentas Rolandas Giedraitis, Erstida Ulvidienė, Ganna Kharlamova, Brigita Kavaliauskaite
{"title":"What Determines the Crime Rate? A Macroeconomic Case Study","authors":"Tomas Karpavicius, Andriy Stavytskyy, Vincentas Rolandas Giedraitis, Erstida Ulvidienė, Ganna Kharlamova, Brigita Kavaliauskaite","doi":"10.3390/economies12090250","DOIUrl":null,"url":null,"abstract":"This study examines the relationship between economic indicators and crime rates in six European countries: Lithuania, Germany, Greece, Portugal, Finland and Sweden. By examining macroeconomic factors such as GDP, security spending and per capita consumption, the study aims to understand how these variables affect crime dynamics. Using robust econometric techniques, including panel regression with fixed effects, the study identifies significant correlations and patterns. The findings reveal that the crime rate has a high degree of inertia and is significantly influenced by the previous level. Contrary to expectations, increased per capita consumption is associated with higher crime rates, which may indicate that wealthier societies are experiencing an increase in economic crime. Furthermore, higher spending on security does not necessarily reduce crime, suggesting that types of crime evolve as detection capabilities improve. This study highlights the complexity of the nexus between crime and the economy, highlighting the need for multifaceted, long-term policies to effectively combat crime and increase public safety. The results offer valuable insights for policymakers to develop comprehensive crime prevention and economic development strategies.","PeriodicalId":52214,"journal":{"name":"Economies","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/economies12090250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This study examines the relationship between economic indicators and crime rates in six European countries: Lithuania, Germany, Greece, Portugal, Finland and Sweden. By examining macroeconomic factors such as GDP, security spending and per capita consumption, the study aims to understand how these variables affect crime dynamics. Using robust econometric techniques, including panel regression with fixed effects, the study identifies significant correlations and patterns. The findings reveal that the crime rate has a high degree of inertia and is significantly influenced by the previous level. Contrary to expectations, increased per capita consumption is associated with higher crime rates, which may indicate that wealthier societies are experiencing an increase in economic crime. Furthermore, higher spending on security does not necessarily reduce crime, suggesting that types of crime evolve as detection capabilities improve. This study highlights the complexity of the nexus between crime and the economy, highlighting the need for multifaceted, long-term policies to effectively combat crime and increase public safety. The results offer valuable insights for policymakers to develop comprehensive crime prevention and economic development strategies.
是什么决定了犯罪率?宏观经济案例研究
本研究探讨了六个欧洲国家的经济指标与犯罪率之间的关系:立陶宛、德国、希腊、葡萄牙、芬兰和瑞典。通过研究国内生产总值、安全支出和人均消费等宏观经济因素,本研究旨在了解这些变量如何影响犯罪动态。该研究采用稳健的计量经济学技术,包括固定效应的面板回归,确定了重要的相关性和模式。研究结果表明,犯罪率具有高度的惯性,受先前水平的影响很大。与预期相反,人均消费的增加与犯罪率的上升相关,这可能表明较富裕的社会正在经历经济犯罪的增加。此外,安保支出的增加并不一定会减少犯罪,这表明随着侦查能力的提高,犯罪类型也在不断变化。这项研究凸显了犯罪与经济之间关系的复杂性,强调需要多方面的长期政策来有效打击犯罪和提高公共安全。研究结果为决策者制定全面的犯罪预防和经济发展战略提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Economies
Economies Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.00
自引率
11.50%
发文量
271
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信