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dc.date.accessioned2025-10-29T09:49:55Z
dc.date.available2025-10-29T09:49:55Z
dc.description.abstractThis paper estimates the multipliers of different types of government spending in the 20 Italian administrative regions throughout 1994–2016. To this end, we use a Bayesian random effect panel vector autoregressive model, which enables us to estimate region-specific multipliers. Our results highlight that the EU structural funds, compared to the other types of government spending, provide the largest and most widely spread GDP multipliers, whereas the effectiveness of nationally funded government investment and government consumption shocks is limited to certain regions. We also find that there exists a fair degree of substitutability between EU structural funds and other expenditure variables, which runs counter to the principle of additionality of the EU cohesion policy. Moreover, at least for some regions, private investment is crowded in by shocks to government consumption and EU structural funds and crowded out by shocks to nationally funded government investment. An exploratory analysis of the distribution of multipliers across regions and expenditure types suggests that multiplier values are positively associated with the amount of unused resources as well as with the region size.it_IT
dc.language.isoenit_IT
dc.relation.ispartofjournalWorking Papers ; 3.238it_IT
dc.identifier.citationDestefanis, S., Di Serio, M. and Fragetta, M. (2020). “Regional multipliers across the Italian regions”. DISES Working Paper 3.238, Università degli Studi di Salerno, Dipartimento di Scienze Economiche e Statistiche.it_IT
dc.titleRegional multipliers across the Italian regionsit_IT
dc.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dc.contributor.authorDestefanis, Sergio
dc.contributor.authorDi Serio, Mario
dc.contributor.authorFragetta, Matteo
dc.date.issued2020
dc.identifier.urihttp://elea.unisa.it/xmlui/handle/10556/9005
dc.typeWorking Paperit_IT
dc.format.extent26 p.it_IT
dc.identifier.issn1971-3029it_IT
dc.subjectEU structural fundsit_IT
dc.subjectGovernment consumptionit_IT
dc.subjectGovernment investmentit_IT
dc.subjectBayesian Vector Autoregressive Modelit_IT
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