IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2012i2p90-102.html
   My bibliography  Save this article

Quality Specifics of the Human Capital in the Higher Education and Science in the Conditions of Knowledge Economy (theoretical aspects)

Author

Abstract

The study of the human capital in the higher education and science is a result of their changed role and significance following the development of new realities of 21st century – knowledge economy, innovation economy, information society, education economy. The latter are treated as a premise for a theoretical analysis of the specific of the human capital of the people employed in the mentioned areas in three directions – by type of knowledge, specific abilities and skills, and the public role and functions. The paper outlines the structural characteristics of the term knowledge, which is basic for the specifying of such type of human capital. The paper analyzes its quality specifics – creative artistic character and type of thinking, possessing biologically input talent, specific intellectual abilities and skills. The paper determines its public and functional role for: creating knowledge economy, forming, storing and improving of the human capital of the nation, developing the innovation area of the economy, using the expert potential of the representatives of the academic circles.

Suggested Citation

  • Alla Kirova, 2012. "Quality Specifics of the Human Capital in the Higher Education and Science in the Conditions of Knowledge Economy (theoretical aspects)," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 90-102.
  • Handle: RePEc:bas:econst:y:2012:i:2:p:90-102
    as

    Download full text from publisher

    File URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=62e4d847-0dc1-43c2-9038-c7da79ad87c0&articleid=a6a7cbab-2ba7-457d-87a5-7f9dac3a90f4#aa6a7cbab-2ba7-457d-87a5-7f9dac3a90f4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fagerberg, Jan, 1987. "A technology gap approach to why growth rates differ," Research Policy, Elsevier, vol. 16(2-4), pages 87-99, August.
    2. Theodore W. Schultz, 1972. "Human Capital: Policy Issues and Research Opportunities," NBER Chapters, in: Economic Research: Retrospect and Prospect, Volume 6, Human Resources, pages 1-84, National Bureau of Economic Research, Inc.
    3. Rossitsa Chobanova, 2011. "Knowledge as Economic Research Object," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 28-54.
    4. Frank R. Lichtenberg, 1992. "R&D Investment and International Productivity Differences," NBER Working Papers 4161, National Bureau of Economic Research, Inc.
    5. Hulya Ulku, 2004. "R&D, Innovation, and Economic Growth: An Empirical Analysis," IMF Working Papers 2004/185, International Monetary Fund.
    6. Cowan, Robin & Foray, Dominique, 1997. "The Economics of Codification and the Diffusion of Knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 6(3), pages 595-622, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arvanitidis, Paschalis & Petrakos, George, 2007. "Characteristics of Dynamic Regions in the World Economy: Defining Knowledge-Driven Economic Dynamism," Papers DYNREG19, Economic and Social Research Institute (ESRI).
    2. Arvanitidis, Paschalis & Petrakos, George & Pavleas, Sotiris, 2007. "Determinants of economic growth: the experts’ view," Papers DYNREG20, Economic and Social Research Institute (ESRI).
    3. Artelaris, Panagiotis & Arvanitidis, Paschalis & Petrakos, George, 2007. "Explaining Knowledge-Based Economic Dynamism in a Global Scale," Papers DYNREG05, Economic and Social Research Institute (ESRI).
    4. Quatraro, Francesco, 2008. "Regional Knowledge Base and Productivity Growth: The Evidence of Italian Manufacturing," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200810, University of Turin.
    5. Quatraro, Francesco, 2010. "Knowledge coherence, variety and economic growth: Manufacturing evidence from Italian regions," Research Policy, Elsevier, vol. 39(10), pages 1289-1302, December.
    6. Jonathan Eaton & Samuel Kortum, 1994. "International Patenting and Technology Diffusion," NBER Working Papers 4931, National Bureau of Economic Research, Inc.
    7. Mduduzi Biyase & September Rooderick, 2017. "Determinants of Growth in SADC Countries: A Fixed Effect Vector Decomposition Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 746-751.
    8. Artelaris, Panagiotis & Arvanitidis, Paschalis & Petrakos, George, 2006. "Theoretical and Methodological Study on Dynamic Growth Regions and Factors Explaining their Growth Performance," Papers DYNREG02, Economic and Social Research Institute (ESRI).
    9. Quatraro Francesco, 2011. "Knowledge Structure and Regional Economic Growth: The French case," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201112, University of Turin.
    10. Bulent Guloglu & R. Tekin, 2012. "A Panel Causality Analysis of the Relationship among Research and Development, Innovation, and Economic Growth in High-Income OECD Countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 2(1), pages 32-47, June.
    11. Daniels, Peter L., 1996. "Technology investment and growth in economic welfare," World Development, Elsevier, vol. 24(7), pages 1243-1266, July.
    12. Wang, David Han-Min & Yu, Tiffany Hui-Kuang & Liu, Hong-Quan, 2013. "Heterogeneous effect of high-tech industrial R&D spending on economic growth," Journal of Business Research, Elsevier, vol. 66(10), pages 1990-1993.
    13. Florian Straßberger, 1995. "Technischer Wandel und wirtschaftliches Wachstum: Einige jüngere Entwicklungen, empirische Ergebnisse und wirtschaftliche Konsequenzen," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 64(2), pages 200-220.
    14. Irina-Elena GENTIMIR, 2015. "In The Globalization Era, Which Are The Determinants Of Growth?," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 7(1), pages 60-79, March.
    15. Abida Hafeez & Karim Bux Shah Syed & Fiza Qureshi, 2019. "Exploring the Relationship between Government R & D Expenditures and Economic Growth in a Global Perspective: A PMG Estimation Approach," International Business Research, Canadian Center of Science and Education, vol. 12(4), pages 163-174, April.
    16. Giada Baldessarelli & Nathalie Lazaric & Michele Pezzoni, 2022. "Organizational routines: Evolution in the research landscape of two core communities," Post-Print halshs-03718851, HAL.
    17. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    18. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    19. Erik Dietzenbacher & Alex Hoen & Bart Los & Jan Meist, 2009. "International convergence and divergence of material input structures: an industry-level perspective," Applied Economics, Taylor & Francis Journals, vol. 41(26), pages 3337-3344.
    20. Qureshi, Irfan & Park, Donghyun & Crespi, Gustavo Atilio & Benavente, Jose Miguel, 2021. "Trends and determinants of innovation in Asia and the Pacific vs. Latin America and the Caribbean," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1287-1309.

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bas:econst:y:2012:i:2:p:90-102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.