IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i6d10.1007_s11135-022-01600-9.html
   My bibliography  Save this article

Information and Communication Technology (ICT) and youth unemployment in Africa

Author

Listed:
  • Ahamuefula E. Ogbonna

    (Centre for Econometrics and Applied Research (CEAR)
    University of Ibadan)

  • Idris A. Adediran

    (Centre for Econometrics and Applied Research (CEAR)
    Obafemi Awolowo University)

  • Tirimisiyu F. Oloko

    (Centre for Econometrics and Applied Research (CEAR)
    University of Ibadan)

  • Kazeem O. Isah

    (Centre for Econometrics and Applied Research (CEAR)
    Kogi State University)

Abstract

Africa is lagging in infrastructural development including Information and Communication Technology (ICT). As there are rising employment opportunities in the ICT-intensive industries globally including Africa, enhanced knowledge and use of ICT may tend to reduce youth unemployment in Africa. Thus, this study investigates the effect of ICT on youth unemployment in Africa using a sample of 41 African countries between 2003 and 2018. The study employs a dynamic Generalized Method of Moment (GMM) approach and constructs a composite ICT index to combine key indicators of ICT, using the principal component approach. We also account for the interactive role of education in the ICT-youth unemployment nexus. Relying on the Phillip curve theoretical model, the effect of inflation, physical capital accumulation, level of corruption, and economic growth are also examined. The results show that youth unemployment in Africa can be reduced by higher ICT deployment and usage, which confirms our hypothesis in this study. There is also evidence that education enhances the potential of ICT usage to reduce youth unemployment. Furthermore, we find that the Phillip curve hypothesis holds, as the inflation rate has a negative effect on youth unemployment. More so, there is evidence that youth unemployment in Africa can be reduced by higher physical capital accumulation, lower level of corruption, and higher economic growth. With falling economic growth and looming economic recession in many African countries, governments would need to revise educational curricula to include ICT-based training to reduce the level of youth unemployment in the medium to long term period.

Suggested Citation

  • Ahamuefula E. Ogbonna & Idris A. Adediran & Tirimisiyu F. Oloko & Kazeem O. Isah, 2023. "Information and Communication Technology (ICT) and youth unemployment in Africa," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5055-5077, December.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-022-01600-9
    DOI: 10.1007/s11135-022-01600-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01600-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-022-01600-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    ICT; Education; Generalized method of moment; Youth unemployment; Africa;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

    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:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-022-01600-9. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.