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Estimation and Determinants of Multidimensional Energy Poverty among Households in Nigeria

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  • Waheed Mobolaji Ashagidigbi

    (Department of Agricultural and Resource Economics, Federal University of Technology, Akure 340252, Nigeria
    Food Security and Safety Niche Area, FNAS, North West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2745, North West Province 2735, South Africa)

  • Bashirat Adenike Babatunde

    (Department of Agricultural and Resource Economics, Federal University of Technology, Akure 340252, Nigeria
    Food Security and Safety Niche Area, FNAS, North West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2745, North West Province 2735, South Africa)

  • Adebayo Isaiah Ogunniyi

    (International Food Policy Research Institute (IFPRI), Abuja 901101, Nigeria)

  • Kehinde Oluseyi Olagunju

    (Economics Research Branch, Agri-Food and Biosciences Institute (AFBI), 18a Newforge Lane, Belfast BT9 5PX, UK)

  • Abiodun Olusola Omotayo

    (Food Security and Safety Niche Area, FNAS, North West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2745, North West Province 2735, South Africa)

Abstract

The sustainable use of clean and safe sources of energy is indeed a global challenge. Traditional and unsafe forms of energy use is predominant among households in sub-Saharan Africa. This is not only a threat to the environment, but also constitutes health risk to the population. In the Nigeria context, this study provides the first attempt to estimate household energy poverty status and also investigate the driving factors of household energy poverty status using the National Demographic Health Survey (NDHS) dataset. The analytical techniques adopted in this study are based on Multidimensional Energy Poverty Index (MEPI) and Tobit regression model. Our results show that national average MEPI was 0.38, suggesting that majority of the households are energy poor. Energy poverty is however found to be higher in rural areas than in urban areas. We also found that male-headed households, age, rural sector and northeast residents are found to be the energy poverty enhancing factors, while household income and credit access are energy poverty inhibiting factors. The study concludes that income smoothening among other energy poverty reduction interventions should be prioritized, especially among rural households in order to help them exit energy poverty trap.

Suggested Citation

  • Waheed Mobolaji Ashagidigbi & Bashirat Adenike Babatunde & Adebayo Isaiah Ogunniyi & Kehinde Oluseyi Olagunju & Abiodun Olusola Omotayo, 2020. "Estimation and Determinants of Multidimensional Energy Poverty among Households in Nigeria," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7332-:d:410129
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