2022
DOI: 10.1108/ijdi-02-2022-0036
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Revisiting the effects of natural resources on income inequality in Sub-Saharan Africa

Abstract: Purpose This study aims to analyze the effects of natural resource rents on income inequality. Design/methodology/approach This study uses a panel quantile regression (QR) approach for 42 Sub-Saharan African (SSA) countries over the period 1998–2018. Findings The results show that natural resource rents have a negative and statistically significant effect on income inequality. Regarding the types of resources, the results show that coal rents increase inequality, while forestry and oil rents reduce income … Show more

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Cited by 27 publications
(18 citation statements)
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“…Referring to the studies undertaken by Avom et al (2022) and Alvarado et al (2021), we specify the model to analyse the effect of natural resources rents and education on income inequality in SSA as follows: For i = 1, 2, …, N; t = 1, 2, …, T, where Ineq = income inequality; Ineq it −1 is the lagged income inequality; TNR = total natural resources rents; HCAP = education index; GDPC = real personal income per capita; ODA = official development assistance; ICT = individual using the internet; and ELEC = access to electricity, and δ i is unobserved country-specific effects.…”
Section: Methodsmentioning
confidence: 99%
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“…Referring to the studies undertaken by Avom et al (2022) and Alvarado et al (2021), we specify the model to analyse the effect of natural resources rents and education on income inequality in SSA as follows: For i = 1, 2, …, N; t = 1, 2, …, T, where Ineq = income inequality; Ineq it −1 is the lagged income inequality; TNR = total natural resources rents; HCAP = education index; GDPC = real personal income per capita; ODA = official development assistance; ICT = individual using the internet; and ELEC = access to electricity, and δ i is unobserved country-specific effects.…”
Section: Methodsmentioning
confidence: 99%
“…The variable was obtained from the United Nations Development Programme database. To support the relationship between natural resources, education and income inequality and to avoid variable omission bias, our baseline analysis includes a subset of contemporaneous control variables, which are important for the analysis of income inequality (Asongu and Le Roux, 2017; Avom et al , 2022; Herzer and Nunnenkamp, 2012; Lee and Lee, 2018; Nguyen and Nasir, 2021). These variables include official development assistance, internet use, economic growth and access to electricity from the World Bank’s Development Indicators.…”
Section: Methodsmentioning
confidence: 99%
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“…The African continent also has the top-ranking economy in terms of natural resource abundance as of 2018, however it imports 20 out of 90 inorganic commodities (Katoka and Dostal, 2022;Zallé, 2019). African CO2 emissions, energy use, and natural resources provide a unique opportunity to learn more about the factors affecting the environment on the continent (Avom et al, 2022). Around the world, environmental protection has become a hot concern for academics and decision-makers.…”
Section: Introductionmentioning
confidence: 99%