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Countering Protection Rackets Using Legal and Social Approaches: An Agent-Based Test
Italian Natl Res Council, Inst Cognit Sci & Technol, Rome, Italy.;Inst Futures Studies, Stockholm, Sweden..
Brandenburg Tech Univ Cottbus, Dept Informat, Cottbus, Germany..
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics. Italian Natl Res Council, Inst Cognit Sci & Technol, Rome, Italy.;Inst Futures Studies, Stockholm, Sweden.
2018 (English)In: Complexity, ISSN 1076-2787, E-ISSN 1099-0526, article id 3568085Article in journal (Refereed) Published
Abstract [en]

Protection rackets cause economic and social damage across the world. States typically combat protection rackets using legal strategies that target the racketeers with legislation, strong sentencing, and increasing the presence and involvement of police officers. Nongovernmental organizations, conversely, focus on the rest of the population and counter protection rackets using a social approach. These organisations attempt to change the actions and social norms of community members with education, promotional campaigns, and discussions. We use an agent-based model, which draws on established theories of protection rackets and combines features of sociological and economic perspectives to modelling social interactions, to test the effects of legal and social approaches. We find that a legal approach is a necessary component of a policy approach, that social only approaches should not be used because they lead to large increases in violence, and that a combination of the two works best, although even this must be used carefully.

Place, publisher, year, edition, pages
2018. article id 3568085
National Category
Law Other Social Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-42305DOI: 10.1155/2018/3568085ISI: 000454094500001Scopus ID: 2-s2.0-85063105923OAI: oai:DiVA.org:mdh-42305DiVA, id: diva2:1277533
Available from: 2019-01-10 Created: 2019-01-10 Last updated: 2019-04-04Bibliographically approved

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Andrighetto, Giulia

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