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Knowledge economy classification in African countries: A model-based clustering approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F22%3A10247637" target="_blank" >RIV/61989100:27510/22:10247637 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/abs/10.1080/02681102.2021.1950597?journalCode=titd20" target="_blank" >https://www.tandfonline.com/doi/abs/10.1080/02681102.2021.1950597?journalCode=titd20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/02681102.2021.1950597" target="_blank" >10.1080/02681102.2021.1950597</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Knowledge economy classification in African countries: A model-based clustering approach

  • Original language description

    Knowledge economy (KE) has been a central issue in the political-economic literature of advanced economies, but little research has focused on the transition towards a KE in Africa. Using a latent profile analysis, six clusters of the KE were found in the region. The clusters range from very prepared with good performance in all KE dimensions (institutional, education, and innovation output) to very unprepared with low performance inf each KE dimension. Lastly, we offer policy recommendations that shed some light on the national and international economic policies towards a more knowledge-oriented environment. One such recommendation is that effective policies should consider both the similarities and dissimilarities of African knowledge economies. How precise that can be done is one direction future research can take.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50901 - Other social sciences

Result continuities

  • Project

    <a href="/en/project/GA19-25280S" target="_blank" >GA19-25280S: Drivers and impacts of the technological knowledge in emerging market and developing economies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Information Technology for Development

  • ISSN

    0268-1102

  • e-ISSN

    1554-0170

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    25

  • Pages from-to

    372-396

  • UT code for WoS article

    000674162400001

  • EID of the result in the Scopus database

    2-s2.0-85110834112