IDEAS home Printed from https://ideas.repec.org/p/ekd/008007/8579.html
   My bibliography  Save this paper

Stated Preferences for Space Heating Investment

Author

Listed:
  • Elena Stolyarova
  • Hélène Le Cadre, MINES ParisTech, PSL Research University, Centre for Applied Mathematics
  • Dominique Osso, EDF R&D, ENERgie dans les BAtiments et les Territoires
  • Benoit Allibe

Abstract

this paper, we use a discrete choice experiment on space heating for both detached houses and apartments in France. In our choice experiment, we asked 1,820 respondents, both owners and tenants, to imagine that their current space heating system had broken down and that they had to choose a new one to replace it. A multinomial logit model was used to analyze the households preferences and willingness to pay for various space heating system attributes. We found that in general households prefer renewable sources and systems, but avoid wood. Preferences for familiar technologies have a considerable impact on the probabilities of choice and could represent a significant obstacle to the development of energy-ecient equipment. Willingness to pay for attributes that control energy consumption depends on thermal comfort preferences. The more cold-sensitive the household, the more willing it is to invest to renewable energy sources and to set temperature management. At the first time we modeling the household utility function derived from thermal comfort (annual space heating service) which is a strictly increasing and concave function of indoor temperature. The households can obtain additional utility from energy efficiency after the dwelling renovation. This renovation allows not only to reach the thermal comfort at least cost, but also to enjoy the advantages of new installation as a brand, type of heating system, internal or external solid wall insulation, type of heat emitters, energy source (natural gas, electricity, wood, etc.), control system to manage set temperature of space heating, etc. The utility, derived from retrofit works, is a function of purchase attributes and constant over time. The households choose the level of indoor temperature and decide to invest in retrofit works in order to maximize their utility, subject to available income which is sufficient to cover energy bills. We use annual degree heating days, function of indoor temperature, to calculate energy bills. Household and firm are supposed to be risk averse. In order to analyze household preferences for energy efficiency works, we adapt the econometric approach based on the Random Utility Model (RUM), also known as discrete choice analysis. The random utility function is decomposed in two parts. One is observable by the researcher and can be estimated, the other one is considered to be random. The RUM allows us to obtain the probability to invest in different retrofit works. Data At the beginning of January 2015 a sample of 2000 respondents is collected by internet from a panel of 600,000 French Households. The survey consists of two parts (revealed preferences data and two choice experiments) and contains questions about socio-economic and demographic information, dwelling conditions, energy attitudes, space heating system and thermal comfort. We uses a balancing orthogonal fractional factorial design with main effects only to design the choice experiments. In the first choice experiment, the respondent must take a choice between three offers of space heating systems in order to replace the old system which is broken down. The offers are characterized by the following attributes: investment cost, expected energy-savings potential, energy used, type of space heating system, guarantee period, control system to manage set temperature, financial grant and bank loan. In the second choice experiment, we propose to improve energy efficiency of respondent’s dwelling. The respondent must choose between three offers: install new space heating system, insulate walls and roof, to do both. Or the respondent can decide do not invest in retrofits works. The offers’ attributes are the same as in first choice situation. We expect that the study will provide us the information about different thermal comfort profile of French households (most preferred indoor temperature, causes of discomfort). The choices situations will used to find the willingness to pay and reservation prices for energy efficiency works. The program of contract between household and firm will allow us to understand French renovation market and propose some solutions to increase the energy efficiency works, the market share of renewable and environmental friendliness equipment.

Suggested Citation

  • Elena Stolyarova & Hélène Le Cadre, MINES ParisTech, PSL Research University, Centre for Applied Mathematics & Dominique Osso, EDF R&D, ENERgie dans les BAtiments et les Territoires & Benoit Allibe, 2015. "Stated Preferences for Space Heating Investment," EcoMod2015 8579, EcoMod.
  • Handle: RePEc:ekd:008007:8579
    as

    Download full text from publisher

    File URL: http://ecomod.net/system/files/Stolyarova_heating_inv_V3.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michelsen, Carl Christian & Madlener, Reinhard, 2013. "Motivational factors influencing the homeowners’ decisions between residential heating systems: An empirical analysis for Germany," Energy Policy, Elsevier, vol. 57(C), pages 221-233.
    2. Farsi, Mehdi, 2010. "Risk aversion and willingness to pay for energy efficient systems in rental apartments," Energy Policy, Elsevier, vol. 38(6), pages 3078-3088, June.
    3. Achtnicht, Martin, 2011. "Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany," Ecological Economics, Elsevier, vol. 70(11), pages 2191-2200, September.
    4. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    5. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    7. Kwak, So-Yoon & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2010. "Valuing energy-saving measures in residential buildings: A choice experiment study," Energy Policy, Elsevier, vol. 38(1), pages 673-677, January.
    8. Phillips, Yvonne, 2012. "Landlords versus tenants: Information asymmetry and mismatched preferences for home energy efficiency," Energy Policy, Elsevier, vol. 45(C), pages 112-121.
    9. Elena Stolyarova & Hélène Le Cadre & Dominique Osso & Benoit Allibe & Nadia Maïzi, 2015. "Residential Space Heating Determinants and Supply-Side Restrictions: Discrete Choice Approach," Working Papers hal-01113230, HAL.
    10. Islam, Towhidul & Meade, Nigel, 2013. "The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation," Energy Policy, Elsevier, vol. 55(C), pages 521-530.
    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. Lang, Ghislaine & Farsi, Mehdi & Lanz, Bruno & Weber, Sylvain, 2021. "Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment," Resource and Energy Economics, Elsevier, vol. 64(C).
    2. Lang, Ghislaine & Lanz, Bruno, 2021. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," Energy Economics, Elsevier, vol. 95(C).
    3. Karytsas, Spyridon & Polyzou, Olympia & Karytsas, Constantine, 2019. "Factors affecting willingness to adopt and willingness to pay for a residential hybrid system that provides heating/cooling and domestic hot water," Renewable Energy, Elsevier, vol. 142(C), pages 591-603.

    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. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    2. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    3. Galassi, Veronica & Madlener, Reinhard, 2017. "The Role of Environmental Concern and Comfort Expectations in Energy Retrofit Decisions," Ecological Economics, Elsevier, vol. 141(C), pages 53-65.
    4. Ruokamo, Enni, 2016. "Household preferences of hybrid home heating systems – A choice experiment application," Energy Policy, Elsevier, vol. 95(C), pages 224-237.
    5. Paul Thorsnes, 2017. "Heterogeneity in household preferences for energy-efficient heating systems," Working Papers 1713, University of Otago, Department of Economics, revised Dec 2017.
    6. Galassi, Veronica & Madlener, Reinhard, 2016. "Some Like it Hot: The Role of Environmental Concern and Comfort Expectations in Energy Retrofit Decisions," FCN Working Papers 11/2016, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    7. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    8. Rockstuhl, Sebastian & Wenninger, Simon & Wiethe, Christian & Ahlrichs, Jakob, 2022. "The influence of risk perception on energy efficiency investments: Evidence from a German survey," Energy Policy, Elsevier, vol. 167(C).
    9. Ju-Hee Kim & Younggew Kim & Seung-Hoon Yoo, 2021. "Using a choice experiment to explore the public willingness to pay for the impacts of improving energy efficiency of an apartment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1775-1793, October.
    10. Wilson, C. & Pettifor, H. & Chryssochoidis, G., 2018. "Quantitative modelling of why and how homeowners decide to renovate energy efficiently," Applied Energy, Elsevier, vol. 212(C), pages 1333-1344.
    11. Collins, Matthew & Curtis, John, 2016. "Willingness-to-Pay and Free-Riding in a National Energy Efficiency Retrofit Grant Scheme: A Revealed Preference Approach," Papers WP551, Economic and Social Research Institute (ESRI).
    12. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    13. Noemi Munkacsi & Krushna Mahapatra, 2019. "Communication and Household Adoption of Heating Products in Hungary," Energies, MDPI, vol. 12(2), pages 1-22, January.
    14. Collins, Matthew & Curtis, John, 2018. "Willingness-to-pay and free-riding in a national energy efficiency retrofit grant scheme," Energy Policy, Elsevier, vol. 118(C), pages 211-220.
    15. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.
    16. Fanghella, Valeria & Guetlein, Marie-Charlotte & Schleich, Joachim & Sebi, Carine, 2023. "Preferences on financing mechanisms for thermal retrofit measures in multi-owner buildings: A discrete choice experiment with landlords and owner-occupiers in France," Resource and Energy Economics, Elsevier, vol. 74(C).
    17. Dalia Streimikiene & Tomas Balezentis, 2020. "Willingness to Pay for Renovation of Multi-Flat Buildings and to Share the Costs of Renovation," Energies, MDPI, vol. 13(11), pages 1-16, May.
    18. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    19. Velvart, Joëlle & Dato, Prudence & Kuhlmey, Florian, 2022. "Tailored interventions in a major life decision: A home relocation discrete choice experiment," Working papers 2022/03, Faculty of Business and Economics - University of Basel.
    20. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.

    More about this item

    Keywords

    France; Energy and environmental policy; Microsimulation;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ekd:008007:8579. 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: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.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.