Zobrazit minimální záznam

dc.contributor.authorAndrés, Antonio Rodríguez
dc.contributor.authorOtero, Abraham
dc.contributor.authorAmavilah, Voxi Heinrich S.
dc.date.accessioned2021-10-07T10:20:35Z
dc.date.available2021-10-07T10:20:35Z
dc.date.issued2021
dc.identifier.citationInformation Technology for Development. 2021.cs
dc.identifier.issn0268-1102
dc.identifier.issn1554-0170
dc.identifier.urihttp://hdl.handle.net/10084/145292
dc.description.abstractKnowledge 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.cs
dc.language.isoencs
dc.publisherTaylor & Franciscs
dc.relation.ispartofseriesInformation Technology for Developmentcs
dc.relation.urihttps://doi.org/10.1080/02681102.2021.1950597cs
dc.subjectAfricacs
dc.subjectmodel-based clusteringcs
dc.subjectknowledge economycs
dc.subjectcross-country comparisonscs
dc.subjectexploratory analysiscs
dc.titleKnowledge economy classification in African countries: A model-based clustering approachcs
dc.typearticlecs
dc.identifier.doi10.1080/02681102.2021.1950597
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.identifier.wos000674162400001


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