Measuring fuel poverty in tropical territories: A latent class model
Dorothée Charlier (dorothee.charlier@univ-smb.fr),
Bérangère Legendre (berangere.legendre@univ-smb.fr) and
Olivia Ricci (olivia.ricci@univ-reunion.fr)
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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
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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.
Keywords: fuel poverty; tropical islands; latent class model; capabilities approach (search for similar items in EconPapers)
Date: 2021-04
New Economics Papers: this item is included in nep-ene
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Citations: View citations in EconPapers (4)
Published in World Development, 2021, 140, pp.105278. ⟨10.1016/j.worlddev.2020.105278⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03877034
DOI: 10.1016/j.worlddev.2020.105278
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