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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2020 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2020
Data sources: EconStor
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A Human Capital Index for the Italian Provinces

Authors: Pasquini, Alessandra; Rosati, Furio C.;

A Human Capital Index for the Italian Provinces

Abstract

Good health conditions and high quality education are crucial for children development and for their future contribution to the society. Human capital has been recognized as one of the crucial engines of economic growth. Nonetheless, it is often hard to establish a metric that allows to monitor its evolution and contribute to assess the effects of policies. In Italy, the use of such an index at national level may not be enough to have a clear picture of the human capital conditions. Socio-economic characteristics and public services are highly heterogeneous across the Country. There is, therefore, good ground to believe that also the human capital presents substantial differences across the Italian Provinces. To take such a high heterogeneity into consideration, we develop a Human Capital Index for Italy disaggregated at provincial level. The results show very large differences across Italian Provinces in terms of human capital, mostly driven by the variation in the quality of educational. Strikingly, the differences among Italian Provinces span a range that goes from best performers among high income countries to middle and low income countries. Finally, we classify the Italian Provinces in three main clusters according to their HCI and show how the clusters differ in terms of several socio-economic characteristics

Keywords

index, I28, ddc:330, I24, Italian provinces, human capital, I20

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
bronze