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Measuring fuel poverty in tropical territories: A latent class model

Author

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  • Dorothée Charlier

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

  • Bérangère Legendre

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

  • Olivia Ricci

    (CEMOI - Centre d'Économie et de Management de l'Océan Indien - UR - Université de La Réunion)

Abstract

Fuel poverty in tropical territories cannot be defined and measured using traditional indicators based on heating issues (expenditure, restriction or the sensation of cold inside houses). We propose a new framework for the identification of fuel-poor households by referring to Amartya Sen's Capability Approach. To accurately assess fuel poverty in tropical areas using observable objective characteristics of decent, safe and healthy dwellings, we use the latent class model (LCM) methodology. This approach allows us to categorize households as fuel poor or non-fuel poor. It is also possible to extend further by considering the multi-dimensional phenomenon of fuel poverty. Using three classes, we can underline a scale of fuel poverty severity with a new class of vulnerable households. Restricting fuel poverty in tropical areas to a binary phenomenon leads to the neglect of the complexity of energy deprivation.

Suggested Citation

  • Dorothée Charlier & Bérangère Legendre & Olivia Ricci, 2021. "Measuring fuel poverty in tropical territories: A latent class model," Post-Print hal-03877034, HAL.
  • Handle: RePEc:hal:journl:hal-03877034
    DOI: 10.1016/j.worlddev.2020.105278
    Note: View the original document on HAL open archive server: https://hal.science/hal-03877034
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    References listed on IDEAS

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    1. Healy, John D. & Clinch, J. Peter, 2004. "Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland," Energy Policy, Elsevier, vol. 32(2), pages 207-220, January.
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    4. John Hills, 2010. "An Anatomy of Economic Inequality in the UK - Report of the National Equality Panel," CASE Reports casereport60, Centre for Analysis of Social Exclusion, LSE.
    5. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
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    Cited by:

    1. Dorothée Charlier & Bérangère Legendre & Olivia Ricci, 2022. "Utility Services Poverty: Addressing the Problem of Household Deprivation in Mayotte," TEPP Working Paper 2022-21, TEPP.
    2. Chaudhuri, Kausik & Huaccha, Gissell, 2023. "Who bears the energy cost? Local income deprivation and the household energy efficiency gap," Energy Economics, Elsevier, vol. 127(PA).
    3. Bardazzi, Rossella & Charlier, Dorothée & Legendre, Berangère & Pazienza, Maria Grazia, 2023. "Energy vulnerability in Mediterranean countries: A latent class analysis approach," Energy Economics, Elsevier, vol. 126(C).
    4. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.

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    Keywords

    fuel poverty; tropical islands; latent class model; capabilities approach;
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