IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v41y2020i6p181-214.html
   My bibliography  Save this article

Behavioral Anomalies and Energy-related Individual Choices: The Role of Status-quo Bias

Author

Listed:
  • Julia Blasch
  • Claudio Daminato

Abstract

The literature on the energy-efficiency gap discusses the status-quo bias as a behavioral anomaly that potentially increases a household’s energy consumption. We empirically investigate the extent to which the status-quo bias is linked to residential electricity consumption through two channels: non-replacement of old appliances and overuse of appliances. Using data from a large household survey conducted in three European countries, we find that our measure of status-quo bias is a significant predictor of both the age of home appliances and the level of a household’s consumption of energy services. This is also reflected in the total electricity consumption, which is found to be around 6% higher when the household head is status-quo biased. We thus provide empirical evidence that the status-quo bias may represent a substantial barrier to increasing residential energy efficiency. Our findings prompt policy makers to design instruments that take this barrier into account.

Suggested Citation

  • Julia Blasch & Claudio Daminato, 2020. "Behavioral Anomalies and Energy-related Individual Choices: The Role of Status-quo Bias," The Energy Journal, , vol. 41(6), pages 181-214, November.
    • Handle: RePEc:sae:enejou:v:41:y:2020:i:6:p:181-214
    DOI: 10.5547/01956574.41.6.jbla
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.41.6.jbla
    Download Restriction: no
    File URL: https://libkey.io/10.5547/01956574.41.6.jbla?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
    ---><---

    References listed on IDEAS

    as
    1. Qiu, Yueming & Colson, Gregory & Grebitus, Carola, 2014. "Risk preferences and purchase of energy-efficient technologies in the residential sector," Ecological Economics, Elsevier, vol. 107(C), pages 216-229.
    2. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2019. "A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies," Energy Economics, Elsevier, vol. 80(C), pages 377-393.
    3. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    4. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    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. Mundaca, Luis & Wamsler, Christine, 2025. "Engaging high-income earners in climate action: Policy insights from survey experiments," Ecological Economics, Elsevier, vol. 227(C).
    2. Barokas, Guy & Ling, Hila Hindy & Sherman, Arie & Shavit, Tal, 2024. "To change or not to change? – Status quo bias and happiness," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 656-671.

    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. Schleich, Joachim & Faure, Corinne & Meissner, Thomas, 2021. "Adoption of retrofit measures among homeowners in EU countries: The effects of access to capital and debt aversion," Energy Policy, Elsevier, vol. 149(C).
    2. Julia Blasch & Claudio Daminato, 2018. "Behavioral anomalies and energy-related individual choices: the role of status-quo bias," CER-ETH Economics working paper series 18/300, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    3. Sébastien Foudi, 2024. "Are risk attitude, impatience, and impulsivity related to the individual discount rate? Evidence from energy-efficient durable goods," Theory and Decision, Springer, vol. 96(4), pages 627-661, June.
    4. Olsthoorn, Mark & Schleich, Joachim & Faure, Corinne, 2019. "Exploring the diffusion of low-energy houses: An empirical study in the European Union," Energy Policy, Elsevier, vol. 129(C), pages 1382-1393.
    5. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2023. "Making the factors underlying the implicit discount rate tangible," Energy Policy, Elsevier, vol. 177(C).
    6. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    7. Faure, Corinne & Schleich, Joachim, 2020. "Poor energy ratings when appliances convey?," Energy Policy, Elsevier, vol. 139(C).
    8. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2019. "A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies," Energy Economics, Elsevier, vol. 80(C), pages 377-393.
    9. Jiaxing Wang & Shigeru Matsumoto, 2022. "An economic model of home appliance replacement: application to refrigerator replacement among Japanese households," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(1), pages 29-48, January.
    10. Christine L. Crago & Rong Rong, 2025. "Behavioral preferences and contract choice in the residential solar PV market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(1), pages 27-53, January.
    11. Leonhard K. Lades & Kate Laffan & Till O. Weber, 2020. "Do economic preferences predict pro-environmental behaviour?," Working Papers 202003, Geary Institute, University College Dublin.
    12. Cattaneo, Cristina, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," CSI: Climate and Sustainable Innovation 269536, Fondazione Eni Enrico Mattei (FEEM).
    13. Wiethe, Christian & Wenninger, Simon, 2023. "The influence of building energy performance prediction accuracy on retrofit rates," Energy Policy, Elsevier, vol. 177(C).
    14. Andersen, Kristoffer Steen & Wiese, Catharina & Petrovic, Stefan & McKenna, Russell, 2020. "Exploring the role of households’ hurdle rates and demand elasticities in meeting Danish energy-savings target," Energy Policy, Elsevier, vol. 146(C).
    15. Werthschulte, Madeline & Löschel, Andreas, 2019. "Cost misperceptions and energy consumption: Experimental evidence for present bias and biased price beliefs," CAWM Discussion Papers 111, University of Münster, Münster Center for Economic Policy (MEP).
    16. Luc Meunier & Sima Ohadi, 2023. "When are two portfolios better than one? A prospect theory approach," Theory and Decision, Springer, vol. 94(3), pages 503-538, April.
    17. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    18. Carrasco-Garcés, Moisés & Vásquez-Lavín, Felipe & Ponce Oliva, Roberto D. & Diaz Pincheira, Francisco & Barrientos, Manuel, 2021. "Estimating the implicit discount rate for new technology adoption of wood-burning stoves," Energy Policy, Elsevier, vol. 156(C).
    19. Jianjun Jin & Rui He & Haozhou Gong & Xia Xu & Chunyang He, 2017. "Farmers’ Risk Preferences in Rural China: Measurements and Determinants," IJERPH, MDPI, vol. 14(7), pages 1-11, June.
    20. Mao, Hui & Shi, Chaoqian & Tang, Heyan & Lu, Yufeng, 2024. "Time preferences and energy consumption of rural household in China," Energy Economics, Elsevier, vol. 132(C).

    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:sae:enejou:v:41:y:2020:i:6:p:181-214. 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: SAGE Publications (email available below). General contact details of provider: .

    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.