A dynamic linkage between economic complexity, institutional quality, and income inequality in Africa

Purpose — This study examines the role of institutional quality in the relationship between economic complexity and income inequality in 34 African countries from 2005 to 2023. Methods — To achieve its objectives, the study employs the Driscoll–Kraay standard errors, Fully Modified OLS (FMOLS), Method of Moments Quantile Regression (MMQR), and the Dumitrescu–Hurlin Granger non-causality (DHGC) test.Findings — The first three methods reveal that economic complexity reduces income inequality, while weak institutions amplify it. The interaction results show that institutional inefficiencies weaken complexity's inclusiveness. The DHGC result implies a two-way relationship between economic complexity and income inequality. Implications — The research suggests that strong institutions are crucial for boosting Africa's productivity and reducing income disparities.Originality — This study contributes to the literature by exploring the long-term relationship among economic complexity, institutional quality, and income inequality in Africa.

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Publication Details

Journal
Economic Journal of Emerging Markets
Published
2026-10-29
DOI
https://doi.org/10.20885/ejem.vol18.iss2.art2
Primary Topic
Economic Growth and Development
Type
article
Field-Weighted Citation Impact
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article

A dynamic linkage between economic complexity, institutional quality, and income inequality in Africa

Tolulope Temilola Osinubi, Munacinga Simatele, Bosede Victoria Kudaisi
5 links
Economic Journal of Emerging Markets
Economic Growth and Development
article

A dynamic linkage between economic complexity, institutional quality, and income inequality in Africa

Tolulope Temilola Osinubi, Munacinga Simatele, Bosede Victoria Kudaisi
article en

Abstract

Purpose — This study examines the role of institutional quality in the relationship between economic complexity and income inequality in 34 African countries from 2005 to 2023. Methods — To achieve its objectives, the study employs the Driscoll–Kraay standard errors, Fully Modified OLS (FMOLS), Method of Moments Quantile Regression (MMQR), and the Dumitrescu–Hurlin Granger non-causality (DHGC) test.Findings — The first three methods reveal that economic complexity reduces income inequality, while weak institutions amplify it. The interaction results show that institutional inefficiencies weaken complexity's inclusiveness. The DHGC result implies a two-way relationship between economic complexity and income inequality. Implications — The research suggests that strong institutions are crucial for boosting Africa's productivity and reducing income disparities.Originality — This study contributes to the literature by exploring the long-term relationship among economic complexity, institutional quality, and income inequality in Africa.

Economic Journal of Emerging Markets
University of Fort Hare (ZA), Adekunle Ajasin University (NG)
Reduced inequalities, Decent work and economic growth
Openalex Percentile: Top 6%
Economic Growth and Development
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A dynamic linkage between economic complexity, institutional quality, and income inequality in Africa — Tolulope Temilola Osinubi, Munacinga Simatele, et al. · Economic Journal of Emerging Markets (2026) | TGRS Research Map | TGRS