2016
DOI: 10.1177/0160017615626215
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Investigating the Human Capital Development–growth Nexus

Abstract: In this article, we test whether economic growth depends on human capital development mainly operating through an upgrading of human capital stock in the area where the universities are located. We specify a growth model where a qualitative measure of human capital development, university efficiency, is considered in conjunction with a customary quantitative measure of human capital development, number of graduates. The model is estimated on panel data over the period 2003 to 2011. The evidence suggests that b… Show more

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Cited by 39 publications
(38 citation statements)
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“…When looking at the (average) technical efficiency scores by geographical area (see Table ), the estimates reveal that HE institutions in central and northern areas (north‐western, north‐eastern, and central) outperform those in southern areas. This result is consistent with previous evidence reported, for example, by Agasisti and Dal Bianco (), Agasisti, Barra, and Zotti (), and Barra and Zotti (). Overall, universities should be able to expand their production of output by about 25% without increasing their inputs.…”
Section: Resultssupporting
confidence: 94%
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“…When looking at the (average) technical efficiency scores by geographical area (see Table ), the estimates reveal that HE institutions in central and northern areas (north‐western, north‐eastern, and central) outperform those in southern areas. This result is consistent with previous evidence reported, for example, by Agasisti and Dal Bianco (), Agasisti, Barra, and Zotti (), and Barra and Zotti (). Overall, universities should be able to expand their production of output by about 25% without increasing their inputs.…”
Section: Resultssupporting
confidence: 94%
“…To analyze the relationship between the efficiency of universities and local economic development, we specify the following dynamic panel model (Barra & Zotti, ): lnGDPCijt=αnormallnormalnGDPCijt1+β1normallnormalnEFFijt+β2i=156lnEFFikt × W+β3i=156normallnormalnGDPCikt × W+β4normallnormalnMSijt+βitalic5italicLGijt+μij+τt+εijt0.25em,where ln is the natural logarithm, GDPC is GDP per capita (measured as the sum of the gross values added of all units divided by workers in each LMA in which the university is located) and GDPC t ‒1 is its lagged value. EFF refers to the efficiency of universities.…”
Section: Modeling the Determinants Of Local Economic Developmentmentioning
confidence: 99%
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“…Similar findings are documented by the recent studies (see Barra and Zotti, 2016;Crescenzi et al, 2016;Erdem, 2016).…”
Section: Access To the Dolesupporting
confidence: 92%