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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50901 - Other social sciences

Projekt

<a href="/cs/project/GA19-25280S" target="_blank" >GA19-25280S: Determinanty a dopady technologických znalostí v transformujících se a rozvojových ekonomikách</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Information Technology for Development

ISSN

0268-1102

e-ISSN

1554-0170

Svazek periodika

28

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

25

Strana od-do

372-396

Kód UT WoS článku

000674162400001

EID výsledku v databázi Scopus

2-s2.0-85110834112