A partial least squares analysis of gender inequality, occupational segregation, and economic growth: Evidence from Sub‐Saharan Africa

The biggest barrier to an egalitarian Sub‐Saharan Africa (SSA) appears to be deeply ingrained structural obstacles and gender imbalances. The significant prevalence of gender inequities, which have both structural and economic ramifications, must be addressed if SSA is committed to achieving the Africa 2063 Agenda (the Africa we want) and Sustainable Development Agenda 2030: gender equity and equality, and economic development. Using partial least squares simultaneous equation modeling (PLS‐SEM), this study examines the effects of gender inequality and occupational segregation on economic growth in Sub‐Saharan Africa. The explanatory power of the structural path model indicated that 17.3% of the variations in latent endogenous variable economic growth in SSA are explained by gender inequality and occupational segregation. This is evidence that gender inequality and occupational segregation account for a significant portion of economic growth in the SSA region. The results of a bootstrapping simulation indicate that, in SSA nations, the direct impact of gender inequality on economic growth is insignificant (β = 0.068, p > 0.05) while occupational segregation, macroeconomic policies, and globalization have a significant impact. However, the indirect effects of both gender inequality (β = −0.048, p 0,05), mientras que la segregación ocupacional, las políticas macroeconómicas y la globalización tienen un impacto significativo. Sin embargo, los efectos indirectos tanto de la desigualdad de género (β = ‐0,048, p 0.05)、その一方で職業分離、マクロ経済政策、グローバリゼーションの影響は有意である。しかし、ジェンダー不平等(β=−0.048、 p