The two faces of human capital and their effect on technological progress
| Autor: | Sara Barcenilla, Carmen López-Pueyo, Gregorio Giménez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Technological change
020209 energy Business administration lcsh:Economic theory. Demography 02 engineering and technology Human capital innovation lcsh:HB1-3840 technology diffusion 0202 electrical engineering electronic engineering information engineering Economics human capital Economic system TFP growth General Economics Econometrics and Finance Total factor productivity |
| Zdroj: | Panoeconomicus, Vol 65, Iss 2, Pp 163-181 (2018) Zaguán. Repositorio Digital de la Universidad de Zaragoza instname |
| ISSN: | 2217-2386 |
| Popis: | The aim of the paper is to investigate the effect of a new international estimate of human capital on the process of innovation and technology catch-up in developed countries. The new human capital variable is a measure of average human capital efficiency per hour worked that considers the role of both the quantity and quality of education. Our methodology is based on the framework proposed by Benhabib and Spiegel (2005) that uses a logistic function of technology diffusion. The analysis employs panel econometrics and tackles the endogeneity bias. Empirical results show robust evidence of the significance of this human capital variable as a driver of innovation and diffusion. The effects of cognitive skills on technological progress are higher the closer the economies are to the technology frontier. Furthermore, as technological progress has been measured using the improved TFP variables built in PWT 8.0, we confirm the existence of social returns to human capital. Key words: Human capital, Innovation, Technology diffusion, TFP growth.JEL: C33, J24, O47. Cilj rada je proucavanje uticaja nove međunarodne procene ljudskog kapitala na proces inoviranja i unapređenja tehnologije u razvijenim zemljama. Nova varijabla ljudskog kapitala je mera prosecne efikasnosti ljudskog kapitala po radnom satu, koja uzima u obzir kako nivo, tako i kvalitet obrazovanja. Nasa metodologija je zasnovana na okvirima koji su predložili Benhabib i Spiegel (2005), a koji koristi logisticku funkciju difuzije tehnologije. Prilikom analize koristimo ekonometriju panela i resavamo pristrasnost endogenosti. Empirijski rezultati pokazuju robustan dokaz o znacaju varijable ljudskog kapitala kao pokretaca inovacija i difuzije. Efekti kognitivnih vestina na tehnoloski napredak su veci ukoliko su ekonomije bliže tehnoloskoj granici. Stavise, posto je tehnoloski napredak meren koriscenjem poboljsanih varijabli TFP ugrađenih u PWT 8.0, potvrđujemo postojanje socijalnih povrataka u ljudski kapital. Kljucne reci: ljudski kapital, inovacija, difuzija tehnologije, rast TFP-a. |
| Databáze: | OpenAIRE |
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