The economic consequences of crime in Italy

Oliviero A. Carboni and Claudio Detotto

Journal of Economic Studies, 2016, vol. 43, issue 1, 122-140

Abstract: Purpose - – The purpose of this paper is to employ provincial data to study the relationship between several crime typologies, namely murder, robbery, extortion and fraud and economic output in Italy. Design/methodology/approach - – The authors propose a spatial econometric approach where the spatial proximity is defined by a measure of physical distance between locations, in order to take into account possible spill-over effects. Findings - – The results of the spatial estimation suggest that criminal activities, namely murder and robbery, exhibit a negative impact on Italian gross domestic product while fraud and total crime do not affect economic output and that there are beneficial spill-overs from neighbouring provinces. Originality/value - – The study empirically shows that only violent crimes have a crowding-out effect on economic output.

Keywords: Italy; Tourism; Crime; Crowding-out effect; Spatial models; Spatial weights (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)

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Related works:
Working Paper: The economic consequences of crime in Italy (2016)
Working Paper: The economic consequences of crime in Italy (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jespps:jes-07-2014-0121

DOI: 10.1108/JES-07-2014-0121

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