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Crime Patterns between Tradition and Change: A Territorial Analysis of the Italian Provinces

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  • Luigi M. Solivetti

    (Sapienza University of Rome)

Abstract

Violent criminality associated with Mafia-type organizations has been crucial for the image of Italy’s crime. This paper purpose is to verify whether the contemporary situation still matches that image and what has been the impact on crime of more recent factors, above all foreign immigration. Indeed, Italy has been characterized by a recent but tumultuous migratory flow, which has possibly posed difficulties for immigrants’ integration. The territorial analysis, carried out on 103 Italian provinces, shows two discrete scenarios. When all the provinces are considered, serious offences such as intentional homicides, extortions, criminal conspiracies and robberies are still associated with a traditional scenario of socio-economic backwardness and poor social capital. However, when only the Central and Northern provinces are selected, a new, non-traditional form of criminality, associated with “modern” features, such as the presence of immigrants and their problems of integration, clearly emerges.

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  • Luigi M. Solivetti, 2016. "Crime Patterns between Tradition and Change: A Territorial Analysis of the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 531-558, September.
  • Handle: RePEc:spr:soinre:v:128:y:2016:i:2:d:10.1007_s11205-015-1043-1
    DOI: 10.1007/s11205-015-1043-1
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    Cited by:

    1. Marco Dugato & Francesco Calderoni & Gian Maria Campedelli, 2020. "Measuring Organised Crime Presence at the Municipal Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 237-261, January.
    2. Carlo Capuano & Massimiliano Giacalone, 2018. "Measuring Organized Crime: Statistical Indicators and Economics Aspects," EERI Research Paper Series EERI RP 2018/11, Economics and Econometrics Research Institute (EERI), Brussels.

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