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Does France have a fuel poverty trap?

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  • Corinne Chaton

    (EDF R&D SEQUOIA - EDF R&D - EDF R&D - EDF - EDF)

  • Elie Lacroix

Abstract

In this article, we focus on fuel poverty dynamics by answering two questions: Does France have a fuel poverty trap and what are the determinants of staying in or moving out of fuel poverty? First, we define three states into which individuals may be placed, which are as follows: the non-fuel-poverty state, the fuel poverty state and the severe fuel poverty state. Second, we use a mover-stayer model that divides the population into the following two types of individuals: those who remain in the same state during the observation period (the stayers) and those who move across states (the movers). This model applies to longitudinal data from mainland France showing that fuel poverty is not an absorbing state. Indeed, a majority of the fuel-poor and the severely fuel-poor move to another, better state. Therefore, we can argue that France has no fuel poverty trap. Using two econometric models (logit and multinomial logit), we identify the stability and mobility determinants in different states. As expected, there is a relationship between income and the likelihood of an individual remaining in a particular state. Furthermore, poor housing implies a greater likelihood of stability in fuel poverty or severe fuel poverty. Another result is that deterioration in fuel poverty status seems to stem more from difficult financial situations than from bad dwelling conditions.
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Suggested Citation

  • Corinne Chaton & Elie Lacroix, 2018. "Does France have a fuel poverty trap?," Post-Print halshs-03983391, HAL.
  • Handle: RePEc:hal:journl:halshs-03983391
    DOI: 10.1016/j.enpol.2017.10.052
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    2. Luciano Lavecchia & Raffaele Miniaci & Paola Valbonesi & Gowthami Venkateswaran, 2024. "Energy poverty risk: a spatial index based on energy efficiency," Questioni di Economia e Finanza (Occasional Papers) 864, Bank of Italy, Economic Research and International Relations Area.
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    4. Esperanza Vera‐Toscano & Heather Brown, 2022. "Empirical Evidence on the Incidence and Persistence of Energy Poverty in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(4), pages 515-529, December.
    5. Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
    6. Chaton, Corinne & Gouraud, Alexandre, 2020. "Simulation of fuel poverty in France," Energy Policy, Elsevier, vol. 140(C).
    7. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    8. Gómez-Navarro, Tomás & Calero-Pastor, María & Pellicer-Sifres, Victoria & Lillo-Rodrigo, Pau & Alfonso-Solar, David & Pérez-Navarro, Ángel, 2021. "Fuel poverty map of Valencia (Spain): Results of a direct survey to citizens and recommendations for policy making," Energy Policy, Elsevier, vol. 151(C).
    9. Kahouli, Sondès, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Energy Economics, Elsevier, vol. 85(C).
    10. Chang, Huayi & Heerink, Nico & Zhang, Junbiao & He, Ke, 2024. "Off-farm employment and household clean energy transition in rural China: A study based on a gender perspective," Energy, Elsevier, vol. 287(C).
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    13. Marion Podesta, Jean-Christophe Poudou, and Michel Roland, 2021. "The Price Impact of Energy Vouchers," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 27-54.
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    15. Charlier, Dorothée & Legendre, Bérangère & Ricci, Olivia, 2021. "Measuring fuel poverty in tropical territories: A latent class model," World Development, Elsevier, vol. 140(C).
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    More about this item

    Keywords

    Dynamics fuel poverty; Mover-Stayer model; Logit; Multinomial logit;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation

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