• Medientyp: E-Artikel
  • Titel: Human capital inequality and economic growth: evidence with sub-national data from Thailand
  • Beteiligte: Uddin, Md Nasir; Sarntisart, Saran
  • Erschienen: Emerald, 2019
  • Erschienen in: International Journal of Social Economics, 46 (2019) 7, Seite 938-956
  • Sprache: Englisch
  • DOI: 10.1108/ijse-07-2018-0368
  • ISSN: 0306-8293
  • Schlagwörter: General Social Sciences ; Economics and Econometrics
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  • Beschreibung: <jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The purpose of this paper is to find the effects of human capital inequality on economic growth.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>Thailand Labor Force Survey has been used to generate provincial average years of schooling and Gini coefficient of years of schooling for the years 1995‒2012. Econometric techniques have been employed to identify the effects of human capital inequality on economic growth.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>Economic growth is inversely affected by the distribution of human capital in Thailand. The coefficient of human capital inequality suggests that if Gini coefficient increases by 0.01 points, gross provincial product (GPP) decreases by about 2 percentage points in the long run. However, the effect of average years of schooling in GPP is not significant.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>There is a lack of strong theoretical background for the relationship between human capital inequality and economic growth to support the empirical study.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>The findings of the study help to design and evaluate education policies in developing countries like Thailand and other low- and middle-income countries.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>This paper is among the first attempts to analyze the effect of human capital inequality on economic growth with sub-national level annual data. In addition, it considers cross sectional dependence in panel model.</jats:p></jats:sec>