Organised Crime in European Businesses

Savona, Ernesto Ugo; Riccardi, Michele; Berlusconi, Giulia

doi:10.4324/9781315640617

Cited by 23 publications

(16 citation statements)

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“…In particular, an extensive presence of organised crime groups can increase the risk for the personal safety of a population both directly, causing high levels of violence (Decker & Curry, 2002;Rios, 2013), or indirectly, favouring the spread of illicit markets affecting the health of the witting of unwitting consumers (Reynolds & McKee, 2010;Riccardi, Dugato, & Polizzotti, 2014). Moreover, it may undermine economic development and damage the social fabric by favouring corruptive or illicit behaviours (Savona, Riccardi, & Berlusconi, 2016). The limited attention to complex crime in social indicators research is probably due to problems with the definition and measurement of concepts such as corruption and organised crime, despite the increasing scholarly attention to these issues.…”

Section: Measuring Organised Crime Presence At the Municipal Level 2 mentioning

confidence: 99%

Measuring Organised Crime Presence at the Municipal Level

2019

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While indicators assessing the quality of life often comprise measures of crime or fear of crime, these components usually refer to property or violent crimes. More complex crimes, which may significantly impact on the social, economic, and political conditions of local communities, are often overlooked, mostly due to problems in adequately measuring the levels of e.g. organised crime and corruption. Indeed, despite the growing scholarly attention, measurements of organised crime are rare and frequently affected by important methodological limitations. This study addresses this issue by proposing the Mafia Presence Index (MPI), a composite indicator measuring the presence of the mafias in Italy. The MPI aggregates variables measuring different dimensions of mafia presence, namely the presence and activities of mafia groups, mafia violence, and infiltration in politics and the economy. Furthermore, the analysis explores the validity and robustness of the MPI by considering possible alternative variables and by assessing the impact of different calculation strategies. Results show that the MPI is a parsimonious and consistent measure of mafia presence, relying on a core set of five variables directly related to mafia presence. The index is also robust to different calculation methods and is negatively associated with the most popular indexes measuring the quality of life in Italy.

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Section: Measuring Organised Crime Presence At the Municipal Level 2 mentioning

confidence: 99%

Measuring Organised Crime Presence at the Municipal Level

2019

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“…Of course, the opacity of business ownership structures in which beneficial ownership is difficult to identify or there are complex shareholding structures, have been identified as being a key vulnerability for ML (ECOLEF 2013;Savona et al 2016;FATF 2016). In relation to the complexity of business ownership, proxy measures included levels of foreign ownership and beneficial ownership distance.…”

Section: Identification Operationalisation and Normalisation Of Riskmentioning

confidence: 99%

Identifying Money Laundering Risk in the United Kingdom: Observations from National Risk Assessments and a Proposed Alternative Methodology

Hopkins

Shelton

2018

Eur J Crim Policy Res

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Two National Risk Assessments (NRA) of money laundering (ML) have now been published in the United Kingdom (see HM Treasury 2015 and 2017). While both represent an attempt to identify the risks of ML, there are limitations in relation to the conceptual framework and the methodology used. This paper reviews the UK NRAs and considers whether revision of the methodology employed could help to both remedy these limitations and generate more robust findings. Drawing upon the findings of the UK strand of project Identifying and Assessing the Risk of Money Laundering in Europe (IARM), it outlines how a composite ML risk indicator was developed through analysis of threats and vulnerabilities across 43 police areas. The findings demonstrate that risks are highest in the City of London and the Metropolitan Police area, which is largely explained by the presence of organised crime groups, connections to risky jurisdictions and the cash intensity of businesses. Although the findings should be treated with caution, it is posited that this methodology could be used to help future NRAs develop a more robust framework to understand ML risk and ultimately develop more effective preventative strategies.

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“…Restaurants and bars may provide an even more fertile area for organized crime (Savona and Berlusconi 2015). This, too, involves avoiding taxes and employer’s contributions.…”

Section: Unreported Employment In Cash Industriesmentioning

confidence: 99%

“…Those involved in organized crime are increasingly using companies to facilitate criminal activities (Savona and Berlusconi 2015; Korsell and Norlin 2015, 15). Often the company can be a prerequisite for committing certain crimes.…”

Section: Increased Possibilities For Using Situational Regulationmentioning

confidence: 99%

Regulating Organized Crime

Korsell¹

2018

The ANNALS of the American Academy of Political and Social Scie

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A significant percentage of organized crime exploits regulated markets by offering services and goods without complying with relevant regulations. This may include offers of “tax-free” goods such as tobacco and alcohol, or unreported employment. Although regulatory schemes may in this way create opportunities for organized crime, situational crime prevention can also be built into, or established ancillary to, regulations. This article discusses the significant opportunities for crime prevention in regulatory schemes by using situational crime prevention as an analytical tool. I show how incorporating crime prevention rules into legislation—a step customarily known as “crime proofing”—combats organized crime by using administrative measures.

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Organised Crime in European Businesses

Cited by 23 publications

References 0 publications

Measuring Organised Crime Presence at the Municipal Level

Measuring Organised Crime Presence at the Municipal Level

Identifying Money Laundering Risk in the United Kingdom: Observations from National Risk Assessments and a Proposed Alternative Methodology

Regulating Organized Crime

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