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HUMAN CAPITAL, SOCIAL CAPITAL AND SCIENTIFIC RESEARCH IN EUROPE: AN APPLICATION OF LINEAR HIERARCHICAL MODELS *
Author(s) -
GOUDARD MATHIEU,
LUBRANO MICHEL
Publication year - 2013
Publication title -
the manchester school
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 42
eISSN - 1467-9957
pISSN - 1463-6786
DOI - 10.1111/j.1467-9957.2012.02331.x
Subject(s) - complement (music) , human capital , social capital , economics , diversity (politics) , capital (architecture) , publishing , multilevel model , positive economics , neoclassical economics , public economics , economic system , classical economics , microeconomics , econometrics , social science , sociology , computer science , political science , economic growth , geography , law , biochemistry , chemistry , archaeology , machine learning , complementation , gene , phenotype
The theory of human capital, even if it reckons the importance of time in science, is too short for explaining the existing diversity of scientific output. The paper introduces social capital as a necessary complement to explain the creation of scientific human capital. It connects these two concepts by means of a hierarchical econometric model. Bibliographical databases contain much information which is exploited to figure out collaboration, mobility, publishing habits and institutional characteristics. The two level hierarchical model is estimated on 14 European countries using bibliometric data in the fields of economics.