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Gauging energy poverty in developing countries with a composite metric of electricity access

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  • Drago, Carlo
  • Gatto, Andrea

Abstract

Energy poverty is a significant development issue that is not univocally interpreted. In many parts of the world, people do not have access to modern and reliable energy, which can be a big problem, particularly for vulnerable and developing countries. When vulnerable people do not have access to energy, they will often not be able to get the power they need to improve their lives. In addition, they may not be able to get proper food, education, health, sanitation, or basic needs for daily living. We use interval-based composite indicators and triplex representations of intervals to measure and assess access to electricity in 54 developing countries as a concept approximating relevant aspects of energy poverty. The proposed composite metric is innovative because it accurately quantifies how much electricity is available to people and how resilient and vulnerable people in developing countries are when they lose access to energy. After comparing the different representations, we found that one group of developing countries is more vulnerable to national and international events than the other. However, other countries are more resilient to electricity access problems. Conflicts and wars can impact the index used to measure energy poverty. However, as measured by the index, these factors contribute to poor performance.

Suggested Citation

  • Drago, Carlo & Gatto, Andrea, 2023. "Gauging energy poverty in developing countries with a composite metric of electricity access," Utilities Policy, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:juipol:v:81:y:2023:i:c:s0957178722001503
    DOI: 10.1016/j.jup.2022.101486
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    More about this item

    Keywords

    Energy poverty; Sustainable development; Developing countries; Vulnerable; Resilience; Composite indicators; Robustness analysis; Interval data; Triplex representation; Interval algebra;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • 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
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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