This paper isolates and interrogates one of the most theoretically disruptive findings to emerge from recent dynamic panel research on globalization and inequality in Sub-Saharan Africa (SSA): that trade openness exerts a positive and statistically significant effect on income inequality. Descriptive trends across Nigeria, South Africa, and Kenya initially appear to support the opposite conclusion; a raw bivariate correlation between trade openness and the Gini coefficient is negative and significant (r = −0.481), but this pattern is shown to be a product of cross-country confounding rather than a genuine causal relationship. Using a system Generalized Method of Moments (GMM) estimator, the analysis finds that, net of country-specific effects and the endogeneity of trade policy, a one-unit increase in trade openness is associated with a 0.0403-unit increase in the Gini coefficient (p = 0.0000). This result directly contradicts the Heckscher-Ohlin-Stolper-Samuelson (HOSS) theorem, which predicts that trade liberalization should compress inequality in labour-abundant developing economies by raising the relative return to unskilled labour. The paper argues that the Skill-Biased Technological Change (SBTC) hypothesis offers the more empirically consistent account: trade liberalization in these three economies has facilitated the importation of capital- and skill-intensive technologies that complement educated labour while marginalizing the unskilled majority. Methodologically, the paper demonstrates why raw correlations, ordinary least squares, and static panel estimators are unsuited to testing trade theory in this setting, and justifies the system GMM approach as a corrective. The paper concludes with policy implications centred on pairing trade liberalization with deliberate skills-upgrading and redistributive investment.
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Urhoromu et al. (2026) studied this question.
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