000166008 001__ 166008
000166008 005__ 20260116163027.0
000166008 0247_ $$2doi$$a10.3926/ic.345
000166008 0248_ $$2sideral$$a79014
000166008 037__ $$aART-2012-79014
000166008 041__ $$aspa
000166008 100__ $$aLabordeta,J. F. -R
000166008 245__ $$aThe effect of human capital on innovation: Analysis from the quantitative and qualitative perspectives of education
000166008 260__ $$c2012
000166008 5060_ $$aAccess copy available to the general public$$fUnrestricted
000166008 5203_ $$aPurpose: This research attempts to determine, empirically and for a large sample of countries, which kind of educational variables can better explain technological innovation processes, approximated by the number of patents per capita. To do this, we use a model that explains the innovative capacity of the countries employing six educational variables: two quantitative variables –average (total and university) years of schooling- and four qualitative variables -based on outcomes of different international tests of knowledge-.
Design/methodology: The analysis is carried out for a sample that includes more than 60 countries, using cross-section techniques for the decade 2000-2010.
Findings: From the econometric results we conclude that technological innovation, proxied by the number of patents per capita, is explained better by the quality of education than by the quantity of education. Innovative activity is strongly linked to success in terms of educational skills, the type of skills acquired and educational excellency. Furthermore, the interaction between educational quality and quantity is a key factor. When we introduce the cross effects of both variables, the proposed model yields to a greater explanatory power.
Originality/value: The traditional perspective on human capital literature uses indicators based on the quantity of education, usually average years of schooling. This study incorporates indicators based on skills, measured by the results of international tests of knowledge. The introduction of the dual perspective, quantitative and qualitative, to measure human capital and to determine what kind of indicators explains better innovation, is an outstanding novelty.
000166008 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000166008 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000166008 700__ $$0(orcid)0000-0003-3702-4017$$aGiménez,G.$$uUniversidad de Zaragoza
000166008 7102_ $$14008$$2225$$aUniversidad de Zaragoza$$bDpto. Estruc.Hª Econ.y Eco.Pb.$$cÁrea Economía Aplicada
000166008 773__ $$g8, 2 (2012), 425-446$$pIntangiblecapital$$tIntangiblecapital$$x1697-9818
000166008 8564_ $$s491365$$uhttps://zaguan.unizar.es/record/166008/files/texto_completo.pdf$$yVersión publicada
000166008 8564_ $$s1484811$$uhttps://zaguan.unizar.es/record/166008/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000166008 909CO $$ooai:zaguan.unizar.es:166008$$particulos$$pdriver
000166008 951__ $$a2026-01-16-14:54:47
000166008 980__ $$aARTICLE