Original Research

Income inequality: The effects of public education expenditure and information and communications technology in sub-Saharan Africa

Tewa P. Voto, Nicholas Ngepah
South African Journal of Economic and Management Sciences | Vol 27, No 1 | a5647 | DOI: https://doi.org/10.4102/sajems.v27i1.5647 | © 2024 Tewa P. Voto, Nicholas Ngepah | This work is licensed under Other
Submitted: 27 March 2024 | Published: 17 October 2024

About the author(s)

Tewa P. Voto, School of Economics and Econometrics, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa
Nicholas Ngepah, School of Economics and Econometrics, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa

Abstract

Background: As nations globally strive to meet the United Nations Sustainable Development Goal (SDG) 10, which underscores the reduction of inequality, there is an increasing need to harness the power of education and information and communications technology (ICT) to achieve this aim. Therefore, this study is motivated by this rationale.

Aim: The synergistic effect of government spending on education and ICT on income inequality in sub-Saharan Africa (SSA) in the long run.

Setting: Panel data for 30 SSA countries from 1990 to 2022 are used.

Method: This research used the Fully Modified Ordinary Least Square (FMOLS) technique, which provides long-run estimates, to achieve the aim of the article.

Results: The FMOLS results reveal that public education expenditure increases income inequality while its squared expenditure reduces it in the long run. However, over time, ICT diminishes inequality. Notably, the combined effect of public education spending and ICT strengthens the effect of public education expenditure on income inequality in SSA in the long term.

Conclusion: In summary, with the incorporation of additional control variables in the analyses, it suggests that SSA’s governments, along with policymakers, have the opportunity to achieve income inequality reduction by strategically making use of public education spending and ICT.

Contribution: This article adds significant value to the literature by demonstrating the effect of public education spending and ICT on income inequality in SSA (characterised by higher level of income inequality). To mitigate concerns regarding endogeneity, this article uses FMOLS.


Keywords

ICT; income inequality; public education expenditure; FMOLS; SSA countries

JEL Codes

D63: Equity, Justice, Inequality, and Other Normative Criteria and Measurement; H52: Government Expenditures and Education; O33: Technological Change: Choices and Consequences • Diffusion Processes

Sustainable Development Goal

Goal 10: Reduced inequalities

Metrics

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