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Does France have a fuel poverty trap?

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  • Chaton, Corinne
  • Lacroix, Elie

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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  • Chaton, Corinne & Lacroix, Elie, 2018. "Does France have a fuel poverty trap?," Energy Policy, Elsevier, vol. 113(C), pages 258-268.
  • Handle: RePEc:eee:enepol:v:113:y:2018:i:c:p:258-268
    DOI: 10.1016/j.enpol.2017.10.052
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    1. Euan Phimister, Esperanza Vera-Toscano and Deborah Roberts, 2015. "The Dynamics of Energy Poverty: Evidence from Spain," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    2. Waddams Price, Catherine & Brazier, Karl & Wang, Wenjia, 2012. "Objective and subjective measures of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 33-39.
    3. 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.
    4. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    5. Schmidt, Peter & Witte, Ann Dryden, 1989. "Predicting criminal recidivism using 'split population' survival time models," Journal of Econometrics, Elsevier, vol. 40(1), pages 141-159, January.
    6. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    7. Sen, Amartya, 1999. "Commodities and Capabilities," OUP Catalogue, Oxford University Press, number 9780195650389.
    8. Denis Fougère & Thierry Kamionka, 1992. "Mobilité et précarisation sur le marché français du travail : une analyse longitudinale pour les années 1986 à 1988," Économie et Prévision, Programme National Persée, vol. 102(1), pages 157-178.
    9. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Fuel poverty in the UK: Is there a difference between rural and urban areas?," Energy Policy, Elsevier, vol. 87(C), pages 216-223.
    10. Saul Hoffman & Greg Duncan, 1988. "What are the economic consequences of divorce?," Demography, Springer;Population Association of America (PAA), vol. 25(4), pages 641-645, November.
    11. Scott, Susan & Lyons, Sean & Keane, Claire & McCarthy, Donal & Tol, Richard S. J., 2008. "Fuel Poverty in Ireland: Extent, Affected Groups and Policy Issues," Papers WP262, Economic and Social Research Institute (ESRI).
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    Cited by:

    1. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    2. Xie, Lunyu & Hu, Xian & Zhang, Xinyi & Zhang, Xiao-Bing, 2022. "Who suffers from energy poverty in household energy transition? Evidence from clean heating program in rural China," Energy Economics, Elsevier, vol. 106(C).
    3. Chaton, Corinne & Gouraud, Alexandre, 2020. "Simulation of fuel poverty in France," Energy Policy, Elsevier, vol. 140(C).
    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. Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
    6. Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
    7. 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).
    8. Schleich, Joachim, 2019. "Energy efficient technology adoption in low-income households in the European Union – What is the evidence?," Energy Policy, Elsevier, vol. 125(C), pages 196-206.
    9. Chang, Huayi & Zhang, Junbiao & He, Ke & Zeng, Yangmei, 2020. "Impact of off-farm employment on household clean energy consumption in rural China: A gender perspective," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304259, Agricultural and Applied Economics Association.
    10. 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.
    11. Lilia Karpinska & SÅ‚awomir Åšmiech, 2021. "On the Persistence of Energy Poverty in Europe - How Hard Is It for the Poor to Escape," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    12. 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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    15. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).

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    More about this item

    Keywords

    D1; C5; Q3; 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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