[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/liu/liucej/v17y2020i1p127-151.html
   My bibliography  Save this article

Investigating the factors shaping residential energy consumption patterns in France: evidence form quantile regression

Author

Listed:
  • Fateh Belaid, Adel Ben Youssef, Nessrine Omrani
Abstract
This article provides new evidence on various factors that affect residential energy consumption in France. We model the consumption of residential energy in dwellings and apply a bottom-up statistical approach. Our quantile regression model uses an innovative variable selection method via the adaptive elastic net regularization technique. The empirical estimates are based on responses to the PHEBUS survey. The aim is to untangle the effects of dwelling, socio-economic and behavior-related factors on the household energy consumption, for different levels of energy use. Our findings demonstrate that cross-sectional variation in residential energy consumption is a function of the building’s technical characteristics and the household’s socio-economic attributes and behavior. The analysis suggests that the effect of the household’s dwelling, demographic and socioeconomic attributes on its energy consumption differs across quantiles. We propose some measures and empirical methods that allow a deeper understanding of the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand.

Suggested Citation

  • Fateh Belaid, Adel Ben Youssef, Nessrine Omrani, 2020. "Investigating the factors shaping residential energy consumption patterns in France: evidence form quantile regression," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 17(1), pages 127-151, June.
    • Handle: RePEc:liu:liucej:v:17:y:2020:i:1:p:127-151
    as

    Download full text from publisher

    File URL: https://ejce.liuc.it/18242979202001/182429792020170107.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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).
    2. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Belaïd, Fateh & Mikayilov, Jeyhun I., 2024. "Closing the Efficiency Gap: Insights into curbing the direct rebound effect of residential electricity consumption in Saudi Arabia," Energy Economics, Elsevier, vol. 135(C).
    2. Zheng, Li & Abbasi, Kashif Raza & Salem, Sultan & Irfan, Muhammad & Alvarado, Rafael & Lv, Kangjuan, 2022. "How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Fateh Belaîd & Sofien Tiba, 2023. "Repercussions the Covid-19 Pandemic on the SDGs Achievement: Is it a New Era for the Development?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 138-147, February.
    4. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A Life-Cycle Analysis of French Household Electricity Demand," CESifo Working Paper Series 8814, CESifo.
    5. Kabeya Clement Mulamba, 2020. "Relationship between education and households? electricity-saving behaviour in South Africa: A multilevel logistic analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 51-74.
    6. Sofien Tiba & Fateh Belaid, 2021. "Modeling The Nexus Between Sustainable Development And Renewable Energy: The African Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 307-329, February.
    7. Fateh Belaïd & Christophe Rault & Camille Massié, 2022. "A life-cycle theory analysis of French household electricity demand," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 501-530, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Dorothée Charlier & Bérangère Legendre, 2021. "Carbon Dioxide Emissions and Aging: Disentangling Behavior from Energy Efficiency," Post-Print hal-03877220, HAL.
    3. 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.
    4. Romero-Jordán, Desiderio & del Río, Pablo & Peñasco, Cristina, 2016. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Energy Policy, Elsevier, vol. 88(C), pages 361-370.
    5. 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.
    6. Frédéric Cherbonnier & Christian Gollier, 2022. "Risk-adjusted Social Discount Rates," Post-Print hal-04012977, HAL.
    7. Volland, Benjamin, 2017. "The role of risk and trust attitudes in explaining residential energy demand: Evidence from the United Kingdom," Ecological Economics, Elsevier, vol. 132(C), pages 14-30.
    8. Fleckinger, Pierre & Glachant, Matthieu & Tamokoué Kamga, Paul-Hervé, 2019. "Energy Performance Certificates and investments in building energy efficiency: A theoretical analysis," Energy Economics, Elsevier, vol. 84(S1).
    9. Meier, Helena & Rehdanz, Katrin, 2010. "Determinants of residential space heating expenditures in Great Britain," Energy Economics, Elsevier, vol. 32(5), pages 949-959, September.
    10. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.
    11. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Chambwera, Muyeye & Folmer, Henk, 2007. "Fuel switching in Harare: An almost ideal demand system approach," Energy Policy, Elsevier, vol. 35(4), pages 2538-2548, April.
    13. Vesterberg, Mattias, 2017. "Power to the people: Electricity demand and household behavior," Umeå Economic Studies 942, Umeå University, Department of Economics.
    14. Helena Meier, Tooraj Jamasb, and Luis Orea, 2013. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    15. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    16. Arbues, Fernando & Villanu´a, Inmaculada & Barberán Ortí, Ramón, 2010. "Household size and residential water demand: an empirical approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 1-20.
    17. 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).
    18. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    19. Peter Heindl, 2015. "Measuring Fuel Poverty: General Considerations and Application to German Household Data," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 71(2), pages 178-215, June.
    20. Finn Roar Aune & Torstein Bye & Tor Arnt Johnsen, 2000. "Gas power generation in Norway: Good or bad for the climate? Revised version," Discussion Papers 286, Statistics Norway, Research Department.

    More about this item

    Keywords

    Residential energy consumption; Household energy use; Behavior; Energy efficiency; Quantile regression; Adaptive Elastic Net;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • D1 - Microeconomics - - Household Behavior
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:liu:liucej:v:17:y:2020:i:1:p:127-151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Laura Ballestra (email available below). General contact details of provider: https://edirc.repec.org/data/liuccit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.