Evidence map›Paper›PMID 39811373›Full record

ArticleHeliyon2025

Revisiting the drivers of electricity consumption in designated Sub-Saharan African regions: Unraveling the role of education.

Alfred Quarcoo, Isaac Adjei Mensah, Akoto Yaw Omari-Sasu, Clement Yenube Kunkuaboor, Emmanuel Nouwati

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alfred QuarcooCentral University College, Ghana.
Isaac Adjei MensahDepartment of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Ghana.
Akoto Yaw Omari-SasuDepartment of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Ghana.
Clement Yenube KunkuaboorDepartment of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Ghana.
Emmanuel NouwatiDepartment of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been established that steady supply of energy to various sectors of the economy is critical for societal growth and development. According to recent figures, barely one-third of the whole population in Sub-Saharan Africa has access to electricity, making the region the poorest in the world in terms of access to electrical power today. This stands in stark contrast to the vast energy resources that could be utilized to provide the necessary energy. In this context, various researches have attempted to identify various factors that influence electricity use. However, in Sub-Saharan Africa, there is relatively limited empirical study carried out to quantify the influence of latent drivers of electricity consumption, particularly taking into account the important role of education. Thus, this existing study effectively investigates the potential factors influencing electricity consumption by taking into account the impact of education in ten selected Sub-Saharan African nations between 1990 and 2020. In addition to education, the study included population, urbanization, and economic growth as relevant variables to mitigate concerns about variable bias resulting from omission. Bearing in mind the potential occurrence of residual cross-sectional connectedness and slope heterogeneity issues, the augmented mean group and the common correlated effect mean group techniques were utilized as the prime estimation methods. Key findings revealed that education has an enormous and palpable effect on the consumption of electricity in the panel scenario, whereas country-specific results yielded a mixed bag of meaningful outcomes. Such cutting-edge approaches and results suggest that education is important in terms of Sub-Saharan Africa's electricity consumption. Based on the empirical findings, additional practical policy recommendations are presented.

Indexed as

Augmented mean group approachEducationElectricity consumptionSub-Saharan Africa

Identifiers

PMID39811373
PMCPMC11730228

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.