Contemporary Social Science · 2018 · 462 citations · 29 references
Social SciencesEconomicsSecondary EducationDevelopment EconomicsLifelong LearningSocial InequalityAccess In EducationFinancial DevelopmentIncome DistributionEducational FinancingFinancial Sector DevelopmentGini Coefficient Analysis
The study investigates how financial access moderates the impact of education and lifelong learning on inequality across 48 African countries from 1996 to 2014. Using a generalized method of moments, the authors model lifelong learning as cumulative education from primary to tertiary, measure financial development through deposits, credit, and efficiency, and assess inequality with Gini, Atkinson, and Palma indices. Results indicate that primary school enrolment and lifelong learning reduce inequality via financial deposit and efficiency channels, whereas secondary and tertiary enrolment have no significant effect, implying that early education and financial inclusion can help curb inequality in Africa.
This study investigates the role of financial access in modulating the effect of education and lifelong learning on inequality in 48 African countries for the period 1996–2014. Lifelong learning is conceived and measured as the combined knowledge gained from primary through tertiary education while the three educational indicators are: primary school enrolment; secondary school enrolment and tertiary school enrolment. Financial development dynamics are measured with financial system deposits (liquid liabilities), financial system activity (credit) and financial system efficiency (deposits/credit). Three measures of inequality are employed notably: the Gini coefficient; the Atkinson index and the Palma ratio. The estimation strategy is based on the generalised method of moments. The following findings are established. First, primary school enrolment interacts with all financial channels to exert negative effects on the Gini index. Second, lifelong learning has negative net effects on the Gini index through financial deposit and efficiency channels. Third, for the most part, the other educational levels do not significantly influence inequality through financial access channels. Policy implications are discussed.
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