Abstract
The Global Financial Crisis and the recent COVID-19 pandemic have devastated Sub-Saharan Africa (SSA), leading to increased poverty and income inequality. Consequently, there has been renewed interest in the relationship between poverty, inequality and economic growth. In this paper, we empirically tested the Poverty-Growth-Inequality triangle (PGIT) hypotheses using comprehensive panel data from 35 SSA countries between 1990 and 2018. Our models were estimated using the Two-Step Instrumental Variables Generalised Method of Moments (2SIV-GMM) estimator. Our findings suggest that income inequality adversely impacts poverty and worsens inclusive growth. We also found that inclusive growth can help reduce poverty, but its impact on income inequality depends on the type of inclusiveness. Inclusive growth moderates the adverse effect of income inequality on poverty. From a policy perspective, our results highlight the importance of promoting inclusive growth, demonstrating that it is critical for mitigating the adverse effect of poverty and income inequality on livelihoods in Sub-Saharan Africa.
Original language | English |
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Article number | 106415 |
Number of pages | 20 |
Journal | Economic Modelling |
Volume | 126 |
DOIs | |
Publication status | Published - Sept 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Authors
Open Access - Access Right Statement
©2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Keywords
- Income inequality
- Poverty
- Inclusive growth
- Sub-Saharan Africa