The health impacts of renewable energy consumption in sub-Saharan Africa: A machine learning perspective

Recently, countries in sub-Saharan Africa (SSA) have shown increasing interest in transitioning to renewable energy due to climate change. However, the health impacts of renewable energy use are not thoroughly studied in the African context. This study investigates the impacts of renewable energy use on health outcomes, including life expectancy, maternal, and under-five mortality, in 26 SSA countries selected during the period 2000 to 2022. The main contribution of our study is the use of novel machine learning techniques known as Kernel-based Regularized Least Squares (KRLS) to fill gaps in the existing literature. Our study controlled for health expenditure, income, carbon dioxide (CO 2 ) emissions, and tuberculosis cases. The findings show that (i) renewable energy use significantly improves health outcomes in SSA, including increased life expectancy and reduced maternal and under-five mortality; (ii) carbon dioxide (CO 2 ) emissions and tuberculosis incidence have negative impacts on health outcomes, leading to decreased life expectancy and increased maternal and under-five mortality rates; (iii) the impact of renewable energy use on life expectancy and maternal mortality is nonlinear at the 25th and 75th percentiles, respectively. The study discusses potential pathways through which renewable energy use impacts health outcomes. The practical policy implication is that African governments and their collaborative partners adopt and implement renewable energy policies and programs, linking them to national health policies, development plans, and budget cycles to improve public health in the region. • We explore the nexus between renewable energy use and health in 26 sub-Saharan Africa countries. • A novel machine learning estimator (Kernel Regularized Least Squares) is applied. • Carbon dioxide emissions and tuberculosis incidence deteriorate health in sub-Saharan Africa. • Renewable energy consumption significantly improve health outcomes in sub-Saharan Africa. • Integrate renewable energy and programs into actionable development plans and budget cycles.

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Publication Details

Journal
Energy Strategy Reviews
Published
2024-12-27
DOI
https://doi.org/10.1016/j.esr.2024.101621
Citations
11
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
1.46
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article

The health impacts of renewable energy consumption in sub-Saharan Africa: A machine learning perspective

Mwoya Byaro, Anicet Rwezaula
11 citations
Energy Strategy Reviews
Energy and Environment Impacts
1.46
article

The health impacts of renewable energy consumption in sub-Saharan Africa: A machine learning perspective

Mwoya Byaro, Anicet Rwezaula
article en
11 citations

Abstract

Recently, countries in sub-Saharan Africa (SSA) have shown increasing interest in transitioning to renewable energy due to climate change. However, the health impacts of renewable energy use are not thoroughly studied in the African context. This study investigates the impacts of renewable energy use on health outcomes, including life expectancy, maternal, and under-five mortality, in 26 SSA countries selected during the period 2000 to 2022. The main contribution of our study is the use of novel machine learning techniques known as Kernel-based Regularized Least Squares (KRLS) to fill gaps in the existing literature. Our study controlled for health expenditure, income, carbon dioxide (CO 2 ) emissions, and tuberculosis cases. The findings show that (i) renewable energy use significantly improves health outcomes in SSA, including increased life expectancy and reduced maternal and under-five mortality; (ii) carbon dioxide (CO 2 ) emissions and tuberculosis incidence have negative impacts on health outcomes, leading to decreased life expectancy and increased maternal and under-five mortality rates; (iii) the impact of renewable energy use on life expectancy and maternal mortality is nonlinear at the 25th and 75th percentiles, respectively. The study discusses potential pathways through which renewable energy use impacts health outcomes. The practical policy implication is that African governments and their collaborative partners adopt and implement renewable energy policies and programs, linking them to national health policies, development plans, and budget cycles to improve public health in the region. • We explore the nexus between renewable energy use and health in 26 sub-Saharan Africa countries. • A novel machine learning estimator (Kernel Regularized Least Squares) is applied. • Carbon dioxide emissions and tuberculosis incidence deteriorate health in sub-Saharan Africa. • Renewable energy consumption significantly improve health outcomes in sub-Saharan Africa. • Integrate renewable energy and programs into actionable development plans and budget cycles.

Energy Strategy ReviewsVol. 57
Institute of Rural Development Planning (TZ)
Affordable and clean energy
Openalex Percentile: Top 20%
Energy and Environment Impacts
1.46
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