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Fuel for regional income inequality in South Africa

Redistribution effect of taxes

Bibliographic Data

ID21540584
AuthorsBeatrice D Simo‐Kengne (0000-0002-4948-5868, University of Johannesburg, corresponding author), Josine Uwilingiye (0000-0002-6419-4911, University of Johannesburg), Kazeem Abimbola Sanusi (0000-0002-2695-2056, University of Johannesburg)
Year2024
Volume106
Issue1
Pages51-69
Publication date2024-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSouth African Geographical Journal (JOURNAL)
Journal identifiersISSN: 0373-6245 • E-ISSN: 2151-2418
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03736245.2023.2204842
OpenAlexW4366681135
LanguageEN
References cited42

This paper analyses the effect of fiscal redistribution on regional income inequality in South Africa using the spatial models. Yearly provincial-level data on different spending categories are considered for the period from 2014 to 2018. The study uses various spatial panel specifications to control for both spatial dependence and heterogeneity among provinces. When factor incomes and market prices are controlled for, empirical results indicate that local inequality spills over to neighbouring provinces. Particularly, a basic point increase in local income inequality contributes about 0.14 to 0.158-point increase in income inequality of neighbouring provinces. Furthermore, provincial spending allocation to social development grant and education spurs regional income inequality while expenses receipt on health, infrastructure, and conditional grants exhibit mitigating effects on provincial income inequality. These findings suggest that health, infrastructure, and conditional grants are key sectors to prioritize in the government’s efforts to reduce income inequality

Demographic economics · Development economics · Econometrics · Economic inequality · Economics · Income distribution · Income inequality metrics · Inequality · Panel data · Political science · Public economics · Receipt · Spatial inequality · Fiscal Policy and Economic Growth · Income, Poverty, and Inequality · Spatial and Panel Data Analysis

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