IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Assessment of industrial performance and the relationship between skill, technology and input-output indicators in Sudan

Listed author(s):
  • Nour, Samia


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

Registered author(s):

    This paper examines the industrial performance indicators and the relationships between skill indicators; between skill, upskilling, technology and input-output indicators in Sudan. Our findings are consistent with the stylized facts in the new growth literature, concerning the correlation between skill indicators: education, experience and wages and also concerning the positive complementary relationships between technology, skill and upskilling. Different from the Sudanese literature, a novel element in our analysis is that we use a new primary data from the firm survey (2010) and we provide a new contribution and fill the gap in the Sudanese literature by examining the industrial performance indicators defined by three different sets of economic and productivity indicators, activity indicators and profitability indicators in Sudan. One advantage and interesting element in our analysis in this paper is that we confirm three hypotheses on the relationships between skill indicators; between skill, upskilling, technology and input-output indicators and industrial performance indicators using new primary data from the firm survey (2010) in Sudan. We verify our first hypothesis that irrespective of the observed differences across the industrial firms, the low skill levels - due to high share of unskilled workers - lead to skills mismatch and most probably contribute to decline of labour productivity and industrial performance indicators. We confirm our second hypothesis that an increase in skill levels and firm size lead to improved relationships between actual and required education and experience; between actual education, experience and wages; and between skill, upskilling and technology (ICT) and also improved industrial performance indicators. We also support our third hypothesis concerning the inconclusive relationships between new technology (the use of ICT) and input-output indicators at the micro/firm level. Finally, we provide a new contribution to the Sudanese literature, since we explain that the performance of the industrial firms is most probably immensely undermined by the shortage of skilled workers and also by the lack of entrepreneur perspective. We recommend further efforts to be made to improve adequate availability of skilled workers and commitment to entrepreneur perspective for improvement of labour productivity, industrial performance and therefore, economic growth and development in Sudan.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) in its series MERIT Working Papers with number 030.

    in new window

    Date of creation: 2011
    Handle: RePEc:unm:unumer:2011030
    Contact details of provider: Postal:
    P.O. Box 616, 6200 MD Maastricht

    Phone: (31) (0)43 3883875
    Fax: (31) (0)43 3216518
    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 117(1), pages 339-376.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters,in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
    3. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    5. Braga, Helson & Willmore, Larry, 1991. "Technological Imports and Technological Effort: An Analysis of Their Determinants in Brazilian Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 39(4), pages 421-432, June.
    6. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1055-1089.
    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.
    8. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    9. Muysken Joan & Hoppe Mombert & Rieder Hannah, 2002. "The Impact of education and mismatch on wages: Germany, 1984-2000," Research Memorandum 041, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    10. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:unm:unumer:2011030. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ad Notten)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.