IDEAS home Printed from https://ideas.repec.org/p/unm/unumer/2011031.html
   My bibliography  Save this paper

Assessment of skill and technology indicators at the macro-micro levels in Sudan

Author

Listed:
  • Nour, Samia

    (UNU-MERIT, Maastricht University, and Khartoum University)

Abstract

In this paper we examine skill and technology indicators at the macro and micro levels in Sudan. Different from the Sudanese literature, a novel element in our analysis is that we use new primary data from the macro and firm surveys and we provide a new contribution and fill the gap in the Sudanese literature by examining five hypotheses on the causes and consequences of low skill and technology indicators at the macro and micro levels in Sudan. We verify our first hypothesis that the interaction between the deficient educational system -caused by low quality of education- and the high share of unskilled workers leads to poor provision of training; low skill levels; skills mismatch; low transfer of knowledge/external schooling effect; weak technology indicators and dependence on foreign technologies at the micro level. We confirm our second hypothesis that the poor local technology indicators/indigenous capability to build the local technology and heavy dependence on foreign technology can be attributed to lack of R&D activities/efforts, due to a lack of funding, low skill levels, weak linkages, lack of networks systems and collaboration between universities and industry/firms, low transfer of knowledge and a lack of entrepreneur perspective. We support our third hypothesis that the transfer of knowledge/external schooling effects is successful at the micro level but unsuccessful at the macro level due to low educational qualifications and deficient educational and training systems. We confirm our fourth hypothesis that skill and technology indicators are significantly determined by firm size and industry. We support our fifth hypothesis concerning the consistency of upskilling plans at the macro-micro levels. Finally, one advantage and interesting element in our analysis is that we provide a new contribution to the Sudanese literature, since we explain the causes, consequences and interaction between the low skill and technology indicators and the transfer of knowledge. We recommend further efforts to be made to improve skill and technology indicators and transfer of knowledge at the macro and micro levels which are all essential for economic growth and development in Sudan.

Suggested Citation

  • Nour, Samia, 2011. "Assessment of skill and technology indicators at the macro-micro levels in Sudan," MERIT Working Papers 2011-031, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  • Handle: RePEc:unm:unumer:2011031
    as

    Download full text from publisher

    File URL: https://unu-merit.nl/publications/wppdf/2011/wp2011-031.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nour, Samia Satti Osman Mohamed, 2010. "Assessment of science and technology indicators in Sudan," MERIT Working Papers 2010-062, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    3. Cowan, Robin & Soete, Luc & Tchervonnava, Oxana, 2001. "Knowledge Transfer and the Services Sector in the Context of the New Economy," Research Memorandum 020, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    4. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    5. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    6. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    7. Joan Muysken & Samia Nour, 2006. "Deficiencies in education and poor prospects for economic growth in the Gulf countries: The case of the UAE," Journal of Development Studies, Taylor & Francis Journals, vol. 42(6), pages 957-980.
    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. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    2. Park, Jungsoo, 2006. "Dispersion of human capital and economic growth," Journal of Macroeconomics, Elsevier, vol. 28(3), pages 520-539, September.
    3. Christian Dreger & Georg Erber & Daniela Glocker, 2008. "Regional Measures of Human Capital in the European Union," SOEPpapers on Multidisciplinary Panel Data Research 137, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Baldacci, Emanuele & Clements, Benedict & Gupta, Sanjeev & Cui, Qiang, 2008. "Social Spending, Human Capital, and Growth in Developing Countries," World Development, Elsevier, vol. 36(8), pages 1317-1341, August.
    5. ?gel de la Fuente, "undated". "Convergence Across Countries And Regions: Theory And Empirics," UFAE and IAE Working Papers 447.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    6. Rogers, Mark Llewellyn, 2008. "Directly unproductive schooling: How country characteristics affect the impact of schooling on growth," European Economic Review, Elsevier, vol. 52(2), pages 356-385, February.
    7. Måns Söderbom & Francis Teal, 2003. "Openness and human capital as sources of productivity growth: An empirical investigation," CSAE Working Paper Series 2003-06, Centre for the Study of African Economies, University of Oxford.
    8. Cui, Dan & Wei, Xiang & Wu, Dianting & Cui, Nana & Nijkamp, Peter, 2019. "Leisure time and labor productivity: A new economic view rooted from sociological perspective," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-24.
    9. Bibhudutta Panda, 2017. "Schooling and productivity growth: evidence from a dual growth accounting application to U.S. states," Journal of Productivity Analysis, Springer, vol. 48(2), pages 193-221, December.
    10. Oleg Badunenko & Diego Romero-�vila, 2014. "Productivity Growth across Spanish Regions and Industries: A Production-Frontier Approach," Regional Studies, Taylor & Francis Journals, vol. 48(7), pages 1242-1262, July.
    11. Claude DIEBOLT & Ralph HIPPE, 2017. "Regional human capital inequality in Europe in the long run, 1850-2010," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 45, pages 5-30.
    12. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitrios & Sanders, Mark, 2020. "Mobility of highly skilled individuals and local innovation activity," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    13. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    14. Oscar Afonso & Paulo B. Vasconcelos, 2007. "Re-examining International Technological-Knowledge Diffusion," International Economic Journal, Taylor & Francis Journals, vol. 21(2), pages 279-296.
    15. Harald Beyer & Rodrigo Vergara, 2002. "Productivity and Economic Growth: The Case of Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Raimundo Soto & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.),Economic Growth: Sources, Trends, and Cycles, edition 1, volume 6, chapter 10, pages 309-342, Central Bank of Chile.
    16. Yasir Khan & Attiya Yasmin Javid, 2015. "The Impact of Formal and Informal Institutions on Economic Performance: A Cross-Country Analysis," PIDE-Working Papers 2015:130, Pakistan Institute of Development Economics.
    17. Gvozdeva, Margarita (Гвоздева, Маргарита) & Kazakova, M.V. (Казакова, М.В.) & Kiblitskaya, T.R. (Киблицкая, Т.Р.), 2017. "The Concept of Human Capital and its Evolution in the History of Economic Thought [Понятие Человеческого Капитала И Его Эволюция В Истории Экономической Мысли]," Working Papers 051733, Russian Presidential Academy of National Economy and Public Administration.
    18. Miguel Portela & Rob Alessie & Coen Teulings, 2010. "Measurement Error in Education and Growth Regressions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(3), pages 618-639, September.
    19. Middendorf Torge, 2006. "Human Capital and Economic Growth in OECD Countries," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(6), pages 670-686, December.
    20. Ma Salinas-Jiménez & Javier Salinas-Jiménez, 2011. "Corruption and total factor productivity: level or growth effects?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(2), pages 109-128, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:unm:unumer:2011031. 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: Ad Notten The email address of this maintainer does not seem to be valid anymore. Please ask Ad Notten to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/meritnl.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.