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Inside the Metrics – An Empirical Comparison of Energy Poverty Indices for Sub-Saharan Countries

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  • Bensch, Gunther

Abstract

With the ‘Sustainable Energy for All’ initiative led by the UN and World Bank, the provision of access to modern energy has recently been brought to the top of the international development agenda. However, there is yet little guidance on how to measure modern energy access or its deprivation, energy poverty. This paper discusses five energy poverty measurement approaches and compares their results empirically using a unique household dataset on five sub-Saharan countries. Due to a broad coverage of energy-related issues, this dataset accommodates the data requirements imposed by all metrics. The metrics turn out to perform quite differently in terms of the identification of the energy poor, sensitivities to parameter changes and data requirements. Based on the empirical findings, recommendations are made on essential features of the metrics to support the ambitious goals set out by the ‘Sustainable Energy for All’ initiative.

Suggested Citation

  • Bensch, Gunther, 2013. "Inside the Metrics – An Empirical Comparison of Energy Poverty Indices for Sub-Saharan Countries," Ruhr Economic Papers 464, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:464
    DOI: 10.4419/86788524
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    Cited by:

    1. Christian Oldiges, 2017. "Measuring Malnutrition and Dietary Diversity: Theory and Evidence from India," OPHI Working Papers ophiwp108.pdf, Queen Elizabeth House, University of Oxford.
    2. Ssennono, Vincent Fred & Ntayi, Joseph M. & Buyinza, Faisal & Wasswa, Francis & Aarakit, Sylvia Manjeri & Mukiza, Chris Ndatira, 2021. "Energy poverty in Uganda: Evidence from a multidimensional approach," Energy Economics, Elsevier, vol. 101(C).
    3. Abayomi Samuel Oyekale & Thonaeng Charity Molelekoa, 2023. "Multidimensional Indicator of Energy Poverty in South Africa Using the Fuzzy Set Approach," Energies, MDPI, vol. 16(5), pages 1-15, February.
    4. Alem, Yonas & Demeke, Eyoual, 2020. "The Persistence of Energy Poverty: A Dynamic Probit Analysis," EfD Discussion Paper 20-16, Environment for Development, University of Gothenburg.
    5. Alem, Yonas & Demeke, Eyoual, 2020. "The persistence of energy poverty: A dynamic probit analysis," Energy Economics, Elsevier, vol. 90(C).
    6. Muhumuza, Ronald & Zacharopoulos, Aggelos & Mondol, Jayanta Deb & Smyth, Mervyn & Pugsley, Adrian, 2018. "Energy consumption levels and technical approaches for supporting development of alternative energy technologies for rural sectors of developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 90-102.

    More about this item

    Keywords

    energy poverty measurement; energy access; Sub-Sahara Africa;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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