Crime, Trust, and Quality of Life: Determinants of Perceived Insecurity across Italian Regions

Massimo Arnone (), Angelo Leogrande, Carlo Drago, Alberto Costantiello and Fabio Anobile ()
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Massimo Arnone: Unict - Università degli studi di Catania = University of Catania
Alberto Costantiello: LUM - Università LUM Giuseppe Degennaro = University Giuseppe Degennaro

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Abstract: The paper aims to investigate the determinants of the Perceived Risk of Crime (PRC) in Italian regions for the period 2004-2022, with data provided by the ISTAT-BES framework. The analysis relies on a regional panel dataset, which is somewhat unbalanced, with an extensive set of socio-institutional, crime, and subjective well-being variables, such as social participation, trust in people, trust in the judiciary, pickpocketing, fear of crime, life satisfaction, pessimism about the future, and dissatisfaction with the regional landscape. The analysis combines classical panel data methodologies with machine learning techniques to check the robustness of the results and to detect regional latent patterns. In all models, namely, fixed effects, random effects, dynamic panel, and weighted least squares, it is confirmed that objective crime variables, as well as subjective ones, play a crucial role in determining PRC. In particular, it is confirmed that, among the variables, pickpocketing and fear of crime are the most important positive determinants of PRC, while trust in people and trust in the judiciary have a significant mitigating effect on PRC. Variables concerning pessimism about the future and environmental dissatisfaction are also confirmed to have a positive effect on PRC. Among several machine learning alternatives, the regularized linear regression model is selected as the best-performing predictive model, which provides an interpretable and accurate representation of the relationships between the variables. In addition, modelbased clustering allows us to detect different regional profiles characterized by different combinations of crime, trust, well-being, and security perceptions. In conclusion, the results confirm that PRC in Italian regions depends on the complex interaction between actual crime, emotional reactions, trust, and quality of life, suggesting that effective policies to address PRC should be based on the integrated action of crime control strategies, trust-building, social cohesion, and quality of the regional landscape.

Keywords: Perceived risk of crime Social trust Fear of crime Quality of life Italian regions JEL codes: C23; C38; D74; I31; R11; Perceived risk of crime; Social trust; Fear of crime; Quality of life; Italian regions JEL codes: C23; C38; D74; I31; R11 (search for similar items in EconPapers)
Date: 2026-02-16
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Working Paper: Crime, Trust, and Quality of Life: Determinants of Perceived Insecurity across Italian Regions (2026)
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