THE IMPACT OF FINANCIAL INCLUSION ON ECONOMIC INEQUALITY IN DEVELOPING COUNTRIES: AN ECONOMETRIC ANALYSIS BASED ON PANEL DATA

Abstract

This article investigates the relationship between financial inclusion and economic inequality in developing countries, drawing on an unbalanced panel dataset of 62 economies over the period 2005 to 2022. The motivation for the study is straightforward: governments and international development institutions have invested heavily in expanding financial access on the assumption that it will help compress income disparities, yet the empirical literature on whether and when this actually happens remains split. Some studies find significant inequality-reducing effects; others document conditions where financial deepening widens the gap between rich and poor by disproportionately benefiting higher-income and better-educated segments of the population. Sorting out when financial inclusion helps and when it does not requires moving beyond aggregate correlations toward a more granular analysis of which financial services matter, for whom, and under what institutional conditions.

Employing fixed effects, random effects, and instrumental variable estimators to address endogeneity between financial development and inequality outcomes, the analysis finds that broad-based account ownership and digital payment infrastructure penetration reduce the Gini coefficient by an estimated 2.1 to 3.4 points per ten-percentage-point increase in access, conditional on adequate institutional quality, financial literacy levels, and regulatory oversight. Mobile banking adoption proves especially powerful in Sub-Saharan Africa, where the coefficient strengthens to −4.2 points. Credit access through microfinance institutions shows weaker and more heterogeneous effects, with meaningful inequality reduction confined to low-interest programs that bundle complementary services with loan delivery. Institutional quality emerges as the dominant moderating variable: financial inclusion generates near-zero inequality effects in weak governance environments and nearly four times larger effects where governance is strong. The article draws out implications for program sequencing in transition economies, including Central Asian states currently redesigning inherited Soviet-era subsidy and banking infrastructure.