Journal of Economic Criminology最新文献_第10页

Preventing fraud in crypto payments 防止加密支付中的欺诈行为

Journal of Economic Criminology Pub Date : 2025-03-01 Epub Date: 2025-01-02 DOI: 10.1016/j.jeconc.2024.100124

Louise Damkjær Christensen

引用次数: 0

Bidirectional relationship between corruption and economic performance in Tanzania 坦桑尼亚腐败与经济绩效的双向关系

Journal of Economic Criminology Pub Date : 2025-03-01 Epub Date: 2024-12-20 DOI: 10.1016/j.jeconc.2024.100121

Lucas Salati , Maurice Mbago , Dimpna Mosha

{"title":"Bidirectional relationship between corruption and economic performance in Tanzania","authors":"Lucas Salati , Maurice Mbago , Dimpna Mosha","doi":"10.1016/j.jeconc.2024.100121","DOIUrl":"10.1016/j.jeconc.2024.100121","url":null,"abstract":"<div><div>Corruption has resulted in numerous social, economic, and developmental issues in both developed and developing nations. The study applied Vector Autoregression approach to analyze and model bidirectional relationship between corruption perceptions index and three macroeconomic variables, namely; unemployment, inflation, and Gross Domestic Product growth rate which measure economic performance in Tanzania. The analysis covered the period from 1998 to 2021. The results show that the corruption perception index in Tanzania has been increasing steadily and significantly since 1998 and has a deterministic trend. In contrast, uncertainty and irregularity seem to best describe the distribution and pattern of unemployment, inflation and Gross Domestic Product growth. The statistical insights from impulse response analysis and forecast error variance decomposition show economic performance is closely related to corruption. Therefore, unfavorable economic performance serve as warning signs of corruption and vice versa. The study concludes that the main cause of corruption is the individual's struggle to escape prevailing economic situations, including inflation and unemployment. The result offers new anti-corruption strategies that consist of integrating political and legal reforms and promoting a stable and healthy economy.</div></div>","PeriodicalId":100775,"journal":{"name":"Journal of Economic Criminology","volume":"7 ","pages":"Article 100121"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Who constitute the VASPs in DeFi? A case study on money laundering via cross-chain bridge from the 2022 harmony hack 谁构成了DeFi中的vasp ？2022年和谐黑客事件中跨链桥洗钱案例研究

Journal of Economic Criminology Pub Date : 2025-03-01 Epub Date: 2025-02-20 DOI: 10.1016/j.jeconc.2025.100131

Yuyun Ma

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Trade-based money laundering and domestic resource mobilization in oil-exporting Countries 石油出口国以贸易为基础的洗钱和国内资源调动

Journal of Economic Criminology Pub Date : 2025-03-01 Epub Date: 2024-12-18 DOI: 10.1016/j.jeconc.2024.100122

Joshua Adeyemi Afolabi , Musibau Adetunji Babatunde

引用次数: 0

Following the Money: Evaluating Evidence Gathering Using Financial Investigation in the World of Covert Human Intelligence Source Handling 追踪金钱：评估在秘密人力情报来源处理世界中使用金融调查收集证据

Journal of Economic Criminology Pub Date : 2025-02-16 DOI: 10.1016/j.jeconc.2025.100133

Craig Hughes , David Kennedy , David Hicks

{"title":"Following the Money: Evaluating Evidence Gathering Using Financial Investigation in the World of Covert Human Intelligence Source Handling","authors":"Craig Hughes , David Kennedy , David Hicks","doi":"10.1016/j.jeconc.2025.100133","DOIUrl":"10.1016/j.jeconc.2025.100133","url":null,"abstract":"<div><div>This research examines the possibilities for covert human intelligence sources (CHIS) handlers to gather financial intelligence against organised crime groups (OCGs). The focus will be on the financial footprint left by individual offenders and criminal enterprises for the purpose of targeting one form of the proceeds of crime, cash. The paper considers the practical utility of financial investigation techniques for routine use outside of the specialist area of asset recovery and confiscation. This is intended to provide balance with the traditional CHIS focus on commodities such as drugs, stolen goods, and firearms or evidence of serious offending such as murder or terrorism. After discussing existing policy, practice and research, the core method used in the paper involves primary research gathered by way of Freedom of Information (FOI) requests to all United Kingdom (UK) police forces. Analysis and discussion of that data illustrates that a substantial majority of forces varying exemptions cited under the FOI rules The authors assess the received data and information and offer further critical analysis of the force rationales for non-disclosure. Currently, the situation concerning the use of financial investigation techniques and CHIS remains unanswered. Financial gain is a strategic priority for OCGs and most offenders but, strangely, financial investigation is not a strategic priority for intelligence-led and evidence-based UK policing.</div></div>","PeriodicalId":100775,"journal":{"name":"Journal of Economic Criminology","volume":"7 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secret sharing in online communities: A comparative analysis of offender and non-offender password creation strategies 网络社区中的秘密共享：犯罪者和非犯罪者密码创建策略的比较分析

Journal of Economic Criminology Pub Date : 2024-12-01 Epub Date: 2024-11-05 DOI: 10.1016/j.jeconc.2024.100110

Andréanne Bergeron , Thomas E. Dearden

{"title":"Secret sharing in online communities: A comparative analysis of offender and non-offender password creation strategies","authors":"Andréanne Bergeron , Thomas E. Dearden","doi":"10.1016/j.jeconc.2024.100110","DOIUrl":"10.1016/j.jeconc.2024.100110","url":null,"abstract":"<div><div>Even though several authentication methods exist, passwords remain the most common type of authentication. Researchers have demonstrated the influence of a person’s environment and exposure to the Internet on their online security behavior (Bosnjak & Brumen, 2016; He et al., 2021; Juozapavičius et al., 2022). Those studies suggest that social identity seems to play a role in password choice. The objective of this study was to determine if the criminal nature of a network influences password-creation strategies. To achieve this, we utilized two databases with a substantial number of actual passwords (1485,095) that had been leaked to the Internet. One database was sourced from a non-delinquent social network, while the other was from a hacker forum. We employed logistic regression to reveal the characteristics associated with each group, ensuring a comprehensive analysis of different types of password strategies and the similarity between actors of the same network. Results show that users of the same network have passwords with characteristics that are similar to each other. Individuals with the same social interests seem more likely to use the same password-creation strategies. From a network analysis perspective, the results show that similar individuals (sharing the same interests) are similar in other aspects (password creation strategies). These findings offer valuable insights into the diverse landscape of password varieties and user behaviors, contributing to a more comprehensive understanding of internet user networks.</div></div>","PeriodicalId":100775,"journal":{"name":"Journal of Economic Criminology","volume":"6 ","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping the trends of Financial Statement Fraud detection research from the historical roots and seminal work 从历史渊源和开创性工作看财务报表欺诈检测研究的发展趋势

Journal of Economic Criminology Pub Date : 2024-12-01 Epub Date: 2024-09-21 DOI: 10.1016/j.jeconc.2024.100096

Beemamol M

{"title":"Mapping the trends of Financial Statement Fraud detection research from the historical roots and seminal work","authors":"Beemamol M","doi":"10.1016/j.jeconc.2024.100096","DOIUrl":"10.1016/j.jeconc.2024.100096","url":null,"abstract":"<div><div>This research aims to identify the historical roots of Financial Statement Fraud (FSF) detection research and ascertain the trajectory of current and upcoming research in this field. This study conducted descriptive, reference spectroscopy, and scientific mapping analyses. To unearth the historical foundations of FSF detection research, the study employed the “Reference Publication Year Spectroscopy (RPYS)” technique. The study chose publications from 1989 to 2022 and identified a slow initial publication pace from 1989, followed by a surge in 2003, aligned with global accounting fraud scandals. Through RPYS, it identified 24 seminal research works (from 1881 to 2022) across multiple disciplines (mathematics, psychology, criminology, sociology, economics, finance, accounting, auditing, data analytics and machine learning) that contributed to the development of the FSF detection research. The trend of FSF research shifted from “financial reporting” to “machine learning”, which underscores the necessity for researchers, organizations, and policymakers to integrate emerging technologies like machine learning and data analytics and promote interdisciplinary and international cooperation to enhance the detection of FSF.</div></div>","PeriodicalId":100775,"journal":{"name":"Journal of Economic Criminology","volume":"6 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142328160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating what promotes and deters Scottish cybercrime reporting 调查促进和阻止苏格兰网络犯罪报告的因素

Journal of Economic Criminology Pub Date : 2024-12-01 Epub Date: 2024-10-12 DOI: 10.1016/j.jeconc.2024.100103

Juraj Sikra , Karen V. Renaud , Daniel R. Thomas

引用次数: 0

Introduction to special issue on corporate crime and society: Impact, harm and enforcement 企业犯罪与社会特刊简介：影响、危害和执法

Journal of Economic Criminology Pub Date : 2024-12-01 Epub Date: 2024-10-29 DOI: 10.1016/j.jeconc.2024.100109

引用次数: 0

“You walk on glass if you are in that space”: Risks and harms of corruption in wildlife justice pathways in Uganda "如果你在那个空间，你就走在玻璃上"：乌干达野生动物司法途径中腐败的风险和危害

Journal of Economic Criminology Pub Date : 2024-12-01 Epub Date: 2024-10-05 DOI: 10.1016/j.jeconc.2024.100102

Anne-Marie Weeden , Nicholas Pamment

{"title":"“You walk on glass if you are in that space”: Risks and harms of corruption in wildlife justice pathways in Uganda","authors":"Anne-Marie Weeden , Nicholas Pamment","doi":"10.1016/j.jeconc.2024.100102","DOIUrl":"10.1016/j.jeconc.2024.100102","url":null,"abstract":"<div><div>Wildlife crime drives existential harms including biodiversity loss and climate change, disproportionately affecting the Global South. Criminal justice approaches dominate the public response, yet scant evidence exists on how corruption, an economic crime, undermines deterrence and exacerbates inequalities. This primary research study utilises a qualitative approach to examine the risks and harms of corruption within wildlife enforcement and justice in Uganda. Using a red-green criminological perspective and drawing upon semi-structured interviews with experts and practitioners from government and civil society, this paper identifies corruption risks in wildlife criminal justice and explores their related harms and consequences. The study finds wildlife enforcement in Uganda suffers from institutional corruption, including perverse incentives which distort targeting and resource prioritisation, leading to discrimination against low-level offenders. Furthermore, differential access to individualist corruption opportunities along the justice pathway enables wealthy or well-connected suspects to avoid sanctions, resulting in sentencing inequities. Despite resulting in differential outcomes for affluent and subsistence offenders, the study concludes that corruption in wildlife justice neutralises deterrence for both offender types. By creating impunity for elites, organised crime actors are attracted to the trade. Moreover, by amplifying sentencing inequalities, subsistence offenders are further impoverished, increasing re-offending. Corruption in wildlife justice thus drives significant long-term environmental, socioeconomic, and political harms, and erodes the rule of law.</div></div>","PeriodicalId":100775,"journal":{"name":"Journal of Economic Criminology","volume":"6 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0