In this paper we study the relationship between organized crime, corruption and economic growth. To shed light on this nexus, we propose a growth model in which organized crime can embezzle public spending by corrupting and threatening public officers. Then we bring the empirical implications of the model to data from Italian regions, as stylized facts show that less developed regions are characterized by the highest levels of corruption and of presence of criminal organizations of Mafia-type. Our main findings are: i) the per capita GDP dynamics of Italian regions in the period considered is characterized by multiple regimes identified by the initial level of organized crime, a finding consistent with a multiple steady state growth dynamics (e.g. Durlauf and Johnson, 1995); ii) in the regions with the higher levels of organized crime the estimated share of embezzled public expenditure is higher and, moreover, public expenditure has a negative effect on per capita GDP. Differently, in the regions with lower levels of organized crime the estimated share of embezzled public expenditure is lower and the effect of public expenditure on per capita income is positive.
Fioroni Tamara, Lavezzi Andrea Mario, Trovato Giovanni (2023). Organized Crime, Corruption and Economic Growth. In Discussion Papers, Department of Economics and Management.
Organized Crime, Corruption and Economic Growth
Fioroni Tamara;Lavezzi Andrea Mario
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2023-07-01
Abstract
In this paper we study the relationship between organized crime, corruption and economic growth. To shed light on this nexus, we propose a growth model in which organized crime can embezzle public spending by corrupting and threatening public officers. Then we bring the empirical implications of the model to data from Italian regions, as stylized facts show that less developed regions are characterized by the highest levels of corruption and of presence of criminal organizations of Mafia-type. Our main findings are: i) the per capita GDP dynamics of Italian regions in the period considered is characterized by multiple regimes identified by the initial level of organized crime, a finding consistent with a multiple steady state growth dynamics (e.g. Durlauf and Johnson, 1995); ii) in the regions with the higher levels of organized crime the estimated share of embezzled public expenditure is higher and, moreover, public expenditure has a negative effect on per capita GDP. Differently, in the regions with lower levels of organized crime the estimated share of embezzled public expenditure is lower and the effect of public expenditure on per capita income is positive.File | Dimensione | Formato | |
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