Energy technology efficiency influence on energy poverty and energy justice in West African households

This paper presents a new indicator which measure energy poverty (as energy justice component) called Modified Energy Poverty Index (MOEPI). It is a composite index and developed based on United Nations Human Development Index (HDI) methodology. MOEPI defines energy poverty as three dimensions conjunction: excessive energy inconvenience, energy deficit and equipment energy (in)efficiency. It captures energy deficit effect on education and include energy acquisition cost in energy inconvenience assessment. MOEPI is implemented on a sample of 640 households in Benin. Results showed 65.15% energy poor households surveyed. Energy poor are divided into three sub-groups, slightly energy poor (6%), moderate energy poor (53%) and severe energy poor (41%). Energy deficit and equipment energy inefficiency are the main dimensions responsible for household energy poverty. An improvement in equipment energy efficiency resulted in a 32.02% decrease in the number of energy poor households.

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Journal
International Journal of Global Energy Issues
Published
2024-11-19
DOI
https://doi.org/10.1504/ijgei.2025.10067978
Primary Topic
Energy and Environment Impacts
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article
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article

Energy technology efficiency influence on energy poverty and energy justice in West African households

Latif Fagbémi, Evrard Karol Ekouédjen, Gaston Ganhoun, Safiou Bouraima
International Journal of Global Energy Issues
Energy and Environment Impacts
article

Energy technology efficiency influence on energy poverty and energy justice in West African households

Latif Fagbémi, Evrard Karol Ekouédjen, Gaston Ganhoun, Safiou Bouraima
article en

Abstract

This paper presents a new indicator which measure energy poverty (as energy justice component) called Modified Energy Poverty Index (MOEPI). It is a composite index and developed based on United Nations Human Development Index (HDI) methodology. MOEPI defines energy poverty as three dimensions conjunction: excessive energy inconvenience, energy deficit and equipment energy (in)efficiency. It captures energy deficit effect on education and include energy acquisition cost in energy inconvenience assessment. MOEPI is implemented on a sample of 640 households in Benin. Results showed 65.15% energy poor households surveyed. Energy poor are divided into three sub-groups, slightly energy poor (6%), moderate energy poor (53%) and severe energy poor (41%). Energy deficit and equipment energy inefficiency are the main dimensions responsible for household energy poverty. An improvement in equipment energy efficiency resulted in a 32.02% decrease in the number of energy poor households.

International Journal of Global Energy IssuesVol. 47(1/2)
Université d'Abomey-Calavi (BJ)
Openalex Percentile: Top 88%
Energy and Environment Impacts
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Energy technology efficiency influence on energy poverty and energy justice in West African households — Latif Fagbémi, Evrard Karol Ekouédjen, et al. · International Journal of Global Energy Issues (2024) | TGRS Research Map | TGRS