Growing through knowledge: examining the knowledge–complexity relationship in Africa

The limited diversification and sophistication of productive structures across African countries are often cited as fundamental reasons the continent remains in a ‘poverty trap.’ Our study examines the extent to which African countries can leverage the knowledge economy to diversify production structures and propel the continent out of this ‘poverty trap.’ Using principal component analysis, we create four indexed measures of the knowledge economy, capturing the four pillars defined by the World Bank, to investigate the knowledge-complexity relationship for 36 African countries between 2000 and 2021. Our empirical analysis, based on generalized methods of moments (GMM) and panel threshold regression – generalized methods of moments (PTR-GMM) estimators, reveals three key findings. Firstly, the institutional (technology) indexes have a linear and positive (insignificant) impact on economic complexity for all African countries. Secondly, the educational index has a linear and positive (nonlinear and U-shaped) relationship with economic sophistication for lower (higher) income countries. Lastly, the innovation index has an insignificant (nonlinear and U-shaped) relationship with economic complexity for lower (higher) income countries. Overall, our study shows that most African countries are not positioned to effectively use all four pillars of the knowledge economy to improve their levels of economic complexity.

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Publication Details

Journal
Development Studies Research
Published
2024-08-23
DOI
https://doi.org/10.1080/21665095.2024.2392496
Citations
1
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
1.13
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article

Growing through knowledge: examining the knowledge–complexity relationship in Africa

Andrew Phiri, Siphosethu Velamva
1 citations
Development Studies Research
Economic and Technological Innovation
1.13
article

Growing through knowledge: examining the knowledge–complexity relationship in Africa

Andrew Phiri, Siphosethu Velamva
article en
1 citations

Abstract

The limited diversification and sophistication of productive structures across African countries are often cited as fundamental reasons the continent remains in a ‘poverty trap.’ Our study examines the extent to which African countries can leverage the knowledge economy to diversify production structures and propel the continent out of this ‘poverty trap.’ Using principal component analysis, we create four indexed measures of the knowledge economy, capturing the four pillars defined by the World Bank, to investigate the knowledge-complexity relationship for 36 African countries between 2000 and 2021. Our empirical analysis, based on generalized methods of moments (GMM) and panel threshold regression – generalized methods of moments (PTR-GMM) estimators, reveals three key findings. Firstly, the institutional (technology) indexes have a linear and positive (insignificant) impact on economic complexity for all African countries. Secondly, the educational index has a linear and positive (nonlinear and U-shaped) relationship with economic sophistication for lower (higher) income countries. Lastly, the innovation index has an insignificant (nonlinear and U-shaped) relationship with economic complexity for lower (higher) income countries. Overall, our study shows that most African countries are not positioned to effectively use all four pillars of the knowledge economy to improve their levels of economic complexity.

Development Studies ResearchVol. 11(1)
Nelson Mandela University (ZA)
Openalex Percentile: Top 12%
Economic and Technological Innovation
1.13
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