(Translated by https://www.hiragana.jp/)
Beyond average energy consumption in the French residential housing market: A household classification approach
IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v107y2017icp82-95.html
   My bibliography  Save this article

Beyond average energy consumption in the French residential housing market: A household classification approach

Author

Listed:
  • Hache, Emmanuel
  • Leboullenger, Déborah
  • Mignon, Valérie

Abstract

In a new environment marked by the growing importance of Green House Gas emissions, fuel poverty, and energy efficiency in the different national agendas, the comprehension of energy demand factors appears to be crucial for the effectiveness of energy policies. We consider the latter could be improved by targeting specific household groups rather than looking to follow a single energy consumption level target. This article explores the scope of having a disaggregated energy consumption market to design policies aimed at curbing residential energy consumption or lowering its carbon intensity. Using a clustering method based on the CHAID (Chi Square Automatic Interaction Detection) methodology, we find that the different levels of energy consumption in the French residential sector are related to socio-economic, dwelling and regional characteristics. Then, we build a typology of energy-consuming households where targeted groups (fuel poor, high income and high consuming households) are clearly and separately identified through a simple and transparent set of characteristics. This classification represents an efficient tool for energy efficiency programs and energy poverty policies, but also for potential investors, which could provide specific and tailor made financial tools for the different consumer groups. Furthermore, our approach helps designing some energy efficiency score that could reduce the rebound effect uncertainty for each identified household group.

Suggested Citation

  • Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    • Handle: RePEc:eee:enepol:v:107:y:2017:i:c:p:82-95
    DOI: 10.1016/j.enpol.2017.04.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142151730263X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2017.04.038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Tooraj Jamasb & Helena Meier, 2010. "Energy Spending and Vulnerable Households," Working Papers EPRG 1101, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Runa Nesbakken, 2001. "Energy Consumption for Space Heating: A Discrete–Continuous Approach," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(1), pages 165-184, March.
    3. Meier, Helena & Rehdanz, Katrin, 2010. "Determinants of residential space heating expenditures in Great Britain," Energy Economics, Elsevier, vol. 32(5), pages 949-959, September.
    4. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    5. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    6. John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
    7. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    8. Tooraj Jamasb & Helena Meier, 2010. "Household Energy Expenditure and Income Groups: Evidence from Great Britain," Working Papers EPRG 1003, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    9. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    10. 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.
    11. repec:bla:scandj:v:103:y:2001:i:1:p:165-84 is not listed on IDEAS
    12. McCarty, John A. & Hastak, Manoj, 2007. "Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression," Journal of Business Research, Elsevier, vol. 60(6), pages 656-662, June.
    13. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Energy poverty in the UK: Is there a difference between rural and urban areas?," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204213, Agricultural Economics Society.
    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. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    16. Rehdanz, Katrin, 2007. "Determinants of residential space heating expenditures in Germany," Energy Economics, Elsevier, vol. 29(2), pages 167-182, March.
    17. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    18. Vaage, Kjell, 2000. "Heating technology and energy use: a discrete/continuous choice approach to Norwegian household energy demand," Energy Economics, Elsevier, vol. 22(6), pages 649-666, December.
    19. Charlier, Dorothée, 2015. "Energy efficiency investments in the context of split incentives among French households," Energy Policy, Elsevier, vol. 87(C), pages 465-479.
    20. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    21. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    22. Dorothée Charlier, 2015. "Energy-efficiency investments in the context of split incentives among French households," Post-Print hal-03062649, HAL.
    23. Baker, Paul & Blundell, Richard, 1991. "The Microeconometric Approach to Modelling Energy Demand: Some Results for UK Households," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 7(2), pages 54-76, Summer.
    24. Dan Vickers & Phil Rees, 2007. "Creating the UK National Statistics 2001 output area classification," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 379-403, March.
    25. William A. Belson, 1959. "Matching and Prediction on the Principle of Biological Classification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 8(2), pages 65-75, June.
    26. Jeffrey A. Dubin & Allen K. Miedema & Ram V. Chandran, 1986. "Price Effects of Energy-Efficient Technologies: A Study of Residential Demand for Heating and Cooling," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 310-325, Autumn.
    27. Baker, Paul & Blundell, Richard & Micklewright, John, 1989. "Modelling Household Energy Expenditures Using Micro-data," Economic Journal, Royal Economic Society, vol. 99(397), pages 720-738, September.
    28. Wyatt, Peter, 2013. "A dwelling-level investigation into the physical and socio-economic drivers of domestic energy consumption in England," Energy Policy, Elsevier, vol. 60(C), pages 540-549.
    29. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2014. "Who rebounds most? Estimating direct and indirect rebound effects for different UK socioeconomic groups," Ecological Economics, Elsevier, vol. 106(C), pages 12-32.
    30. Druckman, Angela & Chitnis, Mona & Sorrell, Steve & Jackson, Tim, 2011. "Missing carbon reductions? Exploring rebound and backfire effects in UK households," Energy Policy, Elsevier, vol. 39(6), pages 3572-3581, June.
    31. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    32. Blundell, Richard & Kristensen, Dennis & Matzkin, Rosa, 2014. "Bounding quantile demand functions using revealed preference inequalities," Journal of Econometrics, Elsevier, vol. 179(2), pages 112-127.
    33. Braun, Frauke G., 2010. "Determinants of households' space heating type: A discrete choice analysis for German households," Energy Policy, Elsevier, vol. 38(10), pages 5493-5503, October.
    34. Hassett, Kevin A. & Metcalf, Gilbert E., 1993. "Energy conservation investment : Do consumers discount the future correctly?," Energy Policy, Elsevier, vol. 21(6), pages 710-716, June.
    35. Cayla, Jean-Michel & Maizi, Nadia & Marchand, Christophe, 2011. "The role of income in energy consumption behaviour: Evidence from French households data," Energy Policy, Elsevier, vol. 39(12), pages 7874-7883.
    36. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis. Part 2: Simulation," Ecological Economics, Elsevier, vol. 86(C), pages 188-198.
    37. Murray, Cameron K., 2013. "What if consumers decided to all ‘go green’? Environmental rebound effects from consumption decisions," Energy Policy, Elsevier, vol. 54(C), pages 240-256.
    38. Haas, Reinhard & Biermayr, Peter, 2000. "The rebound effect for space heating Empirical evidence from Austria," Energy Policy, Elsevier, vol. 28(6-7), pages 403-410, June.
    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. Zehra Ilknur Yilmaz & Ramazan SARI & Aysen Sivrikaya & Fahman Fathurrahman, 2023. "Rebound Effect of Residential Space Heating - The Case of Ankara," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-6.
    2. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    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. Kesriklioğlu, Esma & Oktay, Erkan & Karaaslan, Abdulkerim, 2023. "Predicting total household energy expenditures using ensemble learning methods," Energy, Elsevier, vol. 276(C).
    5. 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).
    6. Anthony Paris, 2016. "The Effect of Biofuels on the Link between Oil and Agricultural Commodity Prices: A Smooth Transition Cointegration Approach," Working Papers hal-02475518, HAL.
    7. Mardones, Cristian, 2021. "Ex-post evaluation and cost-benefit analysis of a heater replacement program implemented in southern Chile," Energy, Elsevier, vol. 227(C).
    8. Dupoux, Marion, 2019. "The land use change time-accounting failure," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    9. Scarpellini, Sabina & Alexia Sanz Hernández, M. & Moneva, José M. & Portillo-Tarragona, Pilar & Rodríguez, María Esther López, 2019. "Measurement of spatial socioeconomic impact of energy poverty," Energy Policy, Elsevier, vol. 124(C), pages 320-331.
    10. 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.
    11. Barjak, F. & Lindeque, J. & Koch, J. & Soland, M., 2022. "Segmenting household electricity customers with quantitative and qualitative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    12. Emmanuel Hache, 2018. "Do renewable energies improve energy security in the long run?," International Economics, CEPII research center, issue 156, pages 127-135.
    13. Gróf, Gyula & Janky, Béla & Bethlendi, András, 2022. "Limits of household's energy efficiency improvements and its consequence – A case study for Hungary," Energy Policy, Elsevier, vol. 168(C).
    14. Ferrari, Simone & Blázquez, Teresa & Dall'O', Giuliano, 2021. "Energy performance indexes based on monitored data of social housing buildings in Northern Italy," Applied Energy, Elsevier, vol. 298(C).
    15. Frédéric Cherbonnier & Christian Gollier, 2022. "Risk-adjusted Social Discount Rates," Post-Print hal-04012977, HAL.
    16. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    17. Florian Fizaine & Sondès Kahouli, 2018. "On the power of indicators: how the choice of the fuel poverty measure affects the identification of the target population," Policy Papers 2018.01, FAERE - French Association of Environmental and Resource Economists.

    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 & 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.
    2. 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.
    3. 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).
    4. Anna Risch & Claire Salmon, 2017. "What matters in residential energy consumption: evidence from France," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 40(1/2), pages 79-116.
    5. Inoue, Nozomu & Matsumoto, Shigeru, 2019. "An examination of losses in energy savings after the Japanese Top Runner Program?," Energy Policy, Elsevier, vol. 124(C), pages 312-319.
    6. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
    7. Lecca, Patrizio & McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2014. "The added value from a general equilibrium analysis of increased efficiency in household energy use," Ecological Economics, Elsevier, vol. 100(C), pages 51-62.
    8. Tovar, Miguel A., 2012. "The structure of energy efficiency investment in the UK households and its average monetary and environmental savings," Energy Policy, Elsevier, vol. 50(C), pages 723-735.
    9. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    10. Franz Fuerst & Dimitra Kavarnou & Ramandeep Singh & Hassan Adan, 2020. "Determinants of energy consumption and exposure to energy price risk: a UK study [Determinanten des Energieverbrauchs und Energiepreisrisiko: Eine Studie aus Großbritannien]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 65-80, April.
    11. Dorothée CHARLIER & Mouez FODHA & Djamel KIRAT, 2021. "CO2 Emissions from the Residential Sector in Europe: Some Insights form a Country-Level Assessment," LEO Working Papers / DR LEO 2849, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    12. Aydin, Erdal, 2016. "Energy conservation in the residential sector : The role of policy and market forces," Other publications TiSEM b9cedba8-1310-4097-90fb-b, Tilburg University, School of Economics and Management.
    13. Benjamin Volland, 2016. "Efficiency in Domestic Space Heating: An Estimation of the Direct Rebound Effect for Domestic Heating in the U.S," IRENE Working Papers 16-01, IRENE Institute of Economic Research.
    14. Freire González, Jaume, 2010. "Empirical evidence of direct rebound effect in Catalonia," Energy Policy, Elsevier, vol. 38(5), pages 2309-2314, May.
    15. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.
    16. Zha, Donglan & Chen, Qian & Wang, Lijun, 2022. "Exploring carbon rebound effects in Chinese households’ consumption: A simulation analysis based on a multi-regional input–output framework," Applied Energy, Elsevier, vol. 313(C).
    17. 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.
    18. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.
    19. Copiello, Sergio & Grillenzoni, Carlo, 2017. "Is the cold the only reason why we heat our homes? Empirical evidence from spatial series data," Applied Energy, Elsevier, vol. 193(C), pages 491-506.
    20. Dorothée Charlier & Bérangère Legendre, 2016. "Fuel Poverty: A Composite Index Approach," Policy Papers 2016.06, FAERE - French Association of Environmental and Resource Economists.

    More about this item

    Keywords

    Energy consumption; Residential sector; Clustering method; France;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:eee:enepol:v:107:y:2017:i:c:p:82-95. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.