The aim of this study is to empirically assess the relationship among government size, decentralization and economic growth in Italian ordinary regions. The empirical analysis, based on a panel dataset on Italian regions, provides evidence in support of the existence of an inverted U-shaped relationship between public expenditure and economic growth, that depends on the degree of fiscal decentralization. In particular, according to our estimates on the specific Italian case, the optimal degree of decentralization is around 32%, while the optimal government size value is approximately 52%.

Government size, decentralization and growth: empirical evidence from Italian regions / Di Liddo, Giuseppe; Magazzino, Cosimo; Porcelli, Francesco. - In: APPLIED ECONOMICS. - ISSN 1466-4283. - 50:25(2018), pp. 2777-2791. [10.1080/00036846.2017.1409417]

Government size, decentralization and growth: empirical evidence from Italian regions

Francesco Porcelli
2018

Abstract

The aim of this study is to empirically assess the relationship among government size, decentralization and economic growth in Italian ordinary regions. The empirical analysis, based on a panel dataset on Italian regions, provides evidence in support of the existence of an inverted U-shaped relationship between public expenditure and economic growth, that depends on the degree of fiscal decentralization. In particular, according to our estimates on the specific Italian case, the optimal degree of decentralization is around 32%, while the optimal government size value is approximately 52%.
2018
Government size; fiscal decentralization; Leviathan; Italy
01 Pubblicazione su rivista::01a Articolo in rivista
Government size, decentralization and growth: empirical evidence from Italian regions / Di Liddo, Giuseppe; Magazzino, Cosimo; Porcelli, Francesco. - In: APPLIED ECONOMICS. - ISSN 1466-4283. - 50:25(2018), pp. 2777-2791. [10.1080/00036846.2017.1409417]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1727408
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