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Fuel Poverty and Health: a Panel Data Analysis

Author

Listed:
  • Romanic Baudu

    (Université Savoie Mont-Blanc)

  • Dorothée Charlier

    (Université Savoie Mont-Blanc)

  • Bérangère Legendre

    (Université Savoie Mont-Blanc)

Abstract

Protecting and improving health and mitigation of climate change have a shared agenda. In this paper, we contribute to the literature by assessing the link between fuel poverty and health over a lengthy recent period. Using dynamic probit models, we examine the influence of fuel poverty on health. We control for state dependency of health as we regard health status to be closely related to previous health trajectories. Considering that unobserved heterogeneity might influence health status and fuel poverty simultaneously, we have corrected for the endogeneity bias that could affect our results. We conclude that being fuel-poor increases the risk of bad health by slightly more than a factor of 7 for those whose health is already poor and by 1.82 for those in good health. For policy makers, combatting fuel poverty reduces sources of discomfort which might also severely affect the health of a dwelling's inhabitants.

Suggested Citation

  • Romanic Baudu & Dorothée Charlier & Bérangère Legendre, 2020. "Fuel Poverty and Health: a Panel Data Analysis," Working Papers 2020.04, FAERE - French Association of Environmental and Resource Economists.
    • Handle: RePEc:fae:wpaper:2020.04
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    References listed on IDEAS

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    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Lynch, J. W. & Kaplan, G. A. & Salonen, J. T., 1997. "Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse," Social Science & Medicine, Elsevier, vol. 44(6), pages 809-819, March.
    3. Jans, Jenny & Johansson, Per & Nilsson, J. Peter, 2018. "Economic status, air quality, and child health: Evidence from inversion episodes," Journal of Health Economics, Elsevier, vol. 61(C), pages 220-232.
    4. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    5. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    6. Dorothée Charlier & Sondès Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, , vol. 40(2), pages 101-138, March.
    7. Amstalden, Roger W. & Kost, Michael & Nathani, Carsten & Imboden, Dieter M., 2007. "Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations," Energy Policy, Elsevier, vol. 35(3), pages 1819-1829, March.
    8. Joshua Graff Zivin & Matthew Neidell, 2013. "Environment, Health, and Human Capital," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 689-730, September.
    9. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    10. Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    11. Akay, Alpaslan, 2009. "The Wooldridge Method for the Initial Values Problem Is Simple: What About Performance?," IZA Discussion Papers 3943, Institute of Labor Economics (IZA).
    12. Webber, Phil & Gouldson, Andy & Kerr, Niall, 2015. "The impacts of household retrofit and domestic energy efficiency schemes: A large scale, ex post evaluation," Energy Policy, Elsevier, vol. 84(C), pages 35-43.
    13. repec:dau:papers:123456789/14815 is not listed on IDEAS
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    Cited by:

    1. Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
    2. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    3. Agnieszka Biernat-Jarka & Paulina Trębska & Sławomir Jarka, 2021. "The Role of Renewable Energy Sources in Alleviating Energy Poverty in Households in Poland," Energies, MDPI, vol. 14(10), pages 1-21, May.
    4. Feeny, Simon & Trinh, Trong-Anh & Zhu, Anna, 2021. "Temperature shocks and energy poverty: Findings from Vietnam," Energy Economics, Elsevier, vol. 99(C).
    5. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

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    More about this item

    Keywords

    Fuel Poverty; Health; Dynamic Probit; Panel dataset;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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