Human Capital Composition and Economic Growth
The objective of this paper is to analyze the effect of various compositions of human capital on economic growth. We construct alternative measures of human capital composition using five fields of study. In each instance, the measure represents the number of graduates in the respective field as a p...
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Veröffentlicht in: | Social indicators research 2010-10, Vol.99 (1), p.41-59 |
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description | The objective of this paper is to analyze the effect of various compositions of human capital on economic growth. We construct alternative measures of human capital composition using five fields of study. In each instance, the measure represents the number of graduates in the respective field as a percentage of all graduates. The measures are as follows: agriculture human capital (AGR); high-tech human capital (TECH); business and service human capital (SERVICE); the humanities human capital (HUMAN); and health and welfare human capital (HEALTH). This paper uses the OLS and System-Generalized Method of Moments (GMM) models to explain differential rates of growth among developed and developing countries. The evidence indicates the significant effects of education and high-tech human capital on growth. |
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We construct alternative measures of human capital composition using five fields of study. In each instance, the measure represents the number of graduates in the respective field as a percentage of all graduates. The measures are as follows: agriculture human capital (AGR); high-tech human capital (TECH); business and service human capital (SERVICE); the humanities human capital (HUMAN); and health and welfare human capital (HEALTH). This paper uses the OLS and System-Generalized Method of Moments (GMM) models to explain differential rates of growth among developed and developing countries. The evidence indicates the significant effects of education and high-tech human capital on growth.</description><identifier>ISSN: 0303-8300</identifier><identifier>EISSN: 1573-0921</identifier><identifier>DOI: 10.1007/s11205-009-9565-z</identifier><identifier>CODEN: SINRDZ</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>Agricultural Occupations ; Agriculture ; Business Education ; Colleges & universities ; Computer science ; Cultural organizations ; Developed countries ; Developed Nations ; Developing Countries ; Developing Nations ; Development sociology ; Econometrics ; Economic Development ; Economic growth ; Economic growth models ; Economic growth rate ; Economic Progress ; Economic theory ; Economics ; Education ; Engineering ; Enrollment Rate ; GDP ; Generalized method of moments ; Graduates ; Gross Domestic Product ; Growth models ; Growth rate ; Growth rates ; Health Care Services ; Health Education ; Higher education ; History, theory and methodology ; Human Capital ; Human capital compositions ; Human Geography ; Human Services ; Humanities ; Labor economics ; LDCs ; Least squares method ; Long run economic growth ; Mathematics ; Measurement ; Measurement Techniques ; Methodology ; Microeconomics ; Per capita ; Public Health ; Quality of Life Research ; Secondary education ; Social research ; Social Sciences ; Sociology ; Sociology of economy and development ; Studies ; Technology Education ; Variables</subject><ispartof>Social indicators research, 2010-10, Vol.99 (1), p.41-59</ispartof><rights>2010 Springer</rights><rights>Springer Science+Business Media B.V. 2010</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-a765acfdfec6be214b6530e291b8e9aba74ec7dc8cd6c49d46c4cea1b32c42ad3</citedby><cites>FETCH-LOGICAL-c509t-a765acfdfec6be214b6530e291b8e9aba74ec7dc8cd6c49d46c4cea1b32c42ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40800992$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40800992$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27321,27901,27902,33751,33752,41464,42533,51294,57992,58225</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ896776$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23199083$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Tsai, Chun-Li</creatorcontrib><creatorcontrib>Hung, Ming-Cheng</creatorcontrib><creatorcontrib>Harriott, Kevin</creatorcontrib><title>Human Capital Composition and Economic Growth</title><title>Social indicators research</title><addtitle>Soc Indic Res</addtitle><description>The objective of this paper is to analyze the effect of various compositions of human capital on economic growth. We construct alternative measures of human capital composition using five fields of study. In each instance, the measure represents the number of graduates in the respective field as a percentage of all graduates. The measures are as follows: agriculture human capital (AGR); high-tech human capital (TECH); business and service human capital (SERVICE); the humanities human capital (HUMAN); and health and welfare human capital (HEALTH). This paper uses the OLS and System-Generalized Method of Moments (GMM) models to explain differential rates of growth among developed and developing countries. The evidence indicates the significant effects of education and high-tech human capital on growth.</description><subject>Agricultural Occupations</subject><subject>Agriculture</subject><subject>Business Education</subject><subject>Colleges & universities</subject><subject>Computer science</subject><subject>Cultural organizations</subject><subject>Developed countries</subject><subject>Developed Nations</subject><subject>Developing Countries</subject><subject>Developing Nations</subject><subject>Development sociology</subject><subject>Econometrics</subject><subject>Economic Development</subject><subject>Economic growth</subject><subject>Economic growth models</subject><subject>Economic growth rate</subject><subject>Economic Progress</subject><subject>Economic theory</subject><subject>Economics</subject><subject>Education</subject><subject>Engineering</subject><subject>Enrollment Rate</subject><subject>GDP</subject><subject>Generalized method of moments</subject><subject>Graduates</subject><subject>Gross Domestic Product</subject><subject>Growth models</subject><subject>Growth rate</subject><subject>Growth rates</subject><subject>Health Care Services</subject><subject>Health Education</subject><subject>Higher education</subject><subject>History, theory and methodology</subject><subject>Human Capital</subject><subject>Human capital compositions</subject><subject>Human Geography</subject><subject>Human Services</subject><subject>Humanities</subject><subject>Labor economics</subject><subject>LDCs</subject><subject>Least squares method</subject><subject>Long run economic growth</subject><subject>Mathematics</subject><subject>Measurement</subject><subject>Measurement Techniques</subject><subject>Methodology</subject><subject>Microeconomics</subject><subject>Per capita</subject><subject>Public Health</subject><subject>Quality of Life Research</subject><subject>Secondary education</subject><subject>Social 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Kevin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ896776</ericid><atitle>Human Capital Composition and Economic Growth</atitle><jtitle>Social indicators research</jtitle><stitle>Soc Indic Res</stitle><date>2010-10-01</date><risdate>2010</risdate><volume>99</volume><issue>1</issue><spage>41</spage><epage>59</epage><pages>41-59</pages><issn>0303-8300</issn><eissn>1573-0921</eissn><coden>SINRDZ</coden><abstract>The objective of this paper is to analyze the effect of various compositions of human capital on economic growth. We construct alternative measures of human capital composition using five fields of study. In each instance, the measure represents the number of graduates in the respective field as a percentage of all graduates. The measures are as follows: agriculture human capital (AGR); high-tech human capital (TECH); business and service human capital (SERVICE); the humanities human capital (HUMAN); and health and welfare human capital (HEALTH). This paper uses the OLS and System-Generalized Method of Moments (GMM) models to explain differential rates of growth among developed and developing countries. The evidence indicates the significant effects of education and high-tech human capital on growth.</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><doi>10.1007/s11205-009-9565-z</doi><tpages>19</tpages></addata></record> |
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subjects | Agricultural Occupations Agriculture Business Education Colleges & universities Computer science Cultural organizations Developed countries Developed Nations Developing Countries Developing Nations Development sociology Econometrics Economic Development Economic growth Economic growth models Economic growth rate Economic Progress Economic theory Economics Education Engineering Enrollment Rate GDP Generalized method of moments Graduates Gross Domestic Product Growth models Growth rate Growth rates Health Care Services Health Education Higher education History, theory and methodology Human Capital Human capital compositions Human Geography Human Services Humanities Labor economics LDCs Least squares method Long run economic growth Mathematics Measurement Measurement Techniques Methodology Microeconomics Per capita Public Health Quality of Life Research Secondary education Social research Social Sciences Sociology Sociology of economy and development Studies Technology Education Variables |
title | Human Capital Composition and Economic Growth |
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