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What matters in Residential Energy Consumption? Evidence from France

Author

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  • Anna Risch

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

  • Claire Salmon

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

Abstract

Given objectives set by countries to realize energy-savings and decrease greenhouse gas emissions, an understanding of the main factors driving household energy consumption is crucial for the formulation of efficient policy measures. Our objective is to identify the main determinants of households energy consumption. The model incorporates a discrete/continuous decision framework, which allows for interactions between decisions on the heating system (the discrete choice) and decisions on the consumption of energy (the continuous choice). We have three main contributions. First, we explore the role of households' socio-economic characteristics vs. technical properties of dwelling in explaining energy consumption. Second, we identify some of the main sources of energy conservation in the housing sector. Third, we estimate price-elasticity and income-elasticity in the French housing sector at a micro-level. Results show that the intensity of energy used per m² is almost completely determined by the technical properties of the dwelling and by the climate. The role of socio-demographic variables is particularly weak. This means that the challenge to environmental policies is to encourage households to undertake renovations.

Suggested Citation

  • Anna Risch & Claire Salmon, 2013. "What matters in Residential Energy Consumption? Evidence from France," Working Papers hal-01081953, HAL.
    • Handle: RePEc:hal:wpaper:hal-01081953
    Note: View the original document on HAL open archive server: https://hal.univ-smb.fr/hal-01081953
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    Cited by:

    1. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    2. Jakučionytė-Skodienė, Miglė & Liobikienė, Genovaitė, 2023. "Changes in energy consumption and CO2 emissions in the Lithuanian household sector caused by environmental awareness and climate change policy," Energy Policy, Elsevier, vol. 180(C).
    3. Jan POLCYN & Sebastian STĘPIEŃ & Bazyli CZYŹEWSKI, 2019. "The Measurement Of The Quality Of The Environment And Its Determinants In Poland In The Regional Perspective," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(21), pages 1-1.
    4. 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).
    5. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
    6. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    7. Dorothée Charlier & Bérangère Legendre, 2020. "Carbon Dioxide Emissions and aging: Disentangling behavior from energy efficiency," Working Papers 2020.13, FAERE - French Association of Environmental and Resource Economists.
    8. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    9. Risch, Anna, 2020. "Are environmental fiscal incentives effective in inducing energy-saving renovations? An econometric evaluation of the French energy tax credit," Energy Economics, Elsevier, vol. 90(C).
    10. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    11. Salomé Bakaloglou and Dorothée Charlier, 2019. "Energy Consumption in the French Residential Sector: How Much do Individual Preferences Matter?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    12. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.
    13. Charlier, Dorothée, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Energy Policy, Elsevier, vol. 156(C).
    14. 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.
    15. Iñigo Antepara & Lefkothea Papada & João Pedro Gouveia & Nikolas Katsoulakos & Dimitris Kaliampakos, 2020. "Improving Energy Poverty Measurement in Southern European Regions through Equivalization of Modeled Energy Costs," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    16. Salomé Bakaloglou & Dorothée Charlier, 2018. "The role of individual preferences to explain the energy performance gap," Policy Papers 2018.08, FAERE - French Association of Environmental and Resource Economists.
    17. Mathilde Fajardy & David Reiner, 2020. "An overview of the electrification of residential and commercial heating and cooling and prospects for decarbonisation," Working Papers EPGR2037, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    18. Dorothée Charlier & Bérangère Legendre, 2021. "Carbon Dioxide Emissions and Aging: Disentangling Behavior from Energy Efficiency," Post-Print hal-03877220, HAL.

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    More about this item

    Keywords

    energy consumption; discrete/continuous choice model; heating system JEL classification: Q41; D12; R21;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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