Waste crime in Italian Regions: A Structural Equation Approach

Roberto Dell'Anno, Antonio Pergolizzi, Rosanna Pittiglio and Filippo Reganati ()

Socio-Economic Planning Sciences, 2020, vol. 71, issue C

Abstract: The main aim of this paper is to analyze the determinants of waste crime in Italy by employing a Structural Equation Approach estimated by the Partial Least Square algorithm (PLS-SEM). By treating waste crime as a latent variable that is directly related to its causes and effects, the PLS-SEM methodology allows us to derive a Waste Crime Index (WCI) at the regional level over the period from 2004 to 2016. This analysis decomposes the overall effects of each cause of WCI from the direct and indirect components. Accordingly, we provide some hints to design more effective policies to prevent waste crime.

Keywords: Waste crime; Structural equation modeling; PLS-SEM; Environmental crimes (search for similar items in EconPapers)
JEL-codes: F12 F23 F61 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:71:y:2020:i:c:s0038012119300436

DOI: 10.1016/j.seps.2019.100751

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