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Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices

Author

Listed:
  • Anna Alberini

    (Department of Agricultural Economics, university of Maryland, US and Centre for Energy Policy and Economics (CEPE), ETH Zurich, Switzerland)

  • Silvia Banfi

    (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich)

  • Celine Ramseier

    (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich)

Abstract
In May 2010, we surveyed 473 Swiss homeowners about their preferences for energy efficiency renovations in their homes. We used conjoint choice experiments that asked respondents to choose among hypothetical energy efficiency renovation projects. We find that homeowners are responsive to the upfront costs of the renovation projects, the savings in energy expenses, the time horizon over which such savings would be realized, and the thermal comfort improvement afforded by such renovations. Even more important, the likelihood of undertaking energy-efficiency renovations increases with the size of the subsidy offered by the Swiss federal government. At least for an average-sized project, we find that the impact of a rebate is comparable to that of an improvement in the thermal comfort of the home. The savings in the annual energy bills and the duration of the investment are less important. The discount rate implicit in the responses to the conjoint choice experiments is low. Depending on the specification of the random utility model, the discount rate ranges from 1.5 to about 3%. This is consistent with the point in Hassett and Metcalf (1993) and Metcalf and Rosenthal (1995), and with the fact that our scenarios contain no uncertainty. Respondents who feel completely uncertain about future energy prices are more likely to select the status quo (no renovations) in any given choice task and weight the cost of the investments more heavily than those respondents who expect energy prices to increase in the future. The hypothetical renovations are more likely to take place when respondents believe that climate change considerations should be an important determinant of home renovations.

Suggested Citation

  • Anna Alberini & Silvia Banfi & Celine Ramseier, 2011. "Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices," CEPE Working paper series 11-80, CEPE Center for Energy Policy and Economics, ETH Zurich.
    • Handle: RePEc:cee:wpcepe:11-80
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    File URL: http://www.cepe.ethz.ch/publications/workingPapers/CEPE_WP80.pdf
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    References listed on IDEAS

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    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Cutter, W. Bowman & Neidell, Matthew, 2009. "Voluntary information programs and environmental regulation: Evidence from 'Spare the Air'," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 253-265, November.
    3. Gilbert E. Metcalf & Kevin A. Hassett, 1999. "Measuring The Energy Savings From Home Improvement Investments: Evidence From Monthly Billing Data," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 516-528, August.
    4. Martin Jakob & Reinhard Madlener, 2004. "Riding down the experience curve for energy-efficient building envelopes: the Swiss case for 1970–2020," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 153-178.
    5. Trevor Houser & Shashank Mohan & Robert Heilmayr, 2009. "A Green Recovery? Assessing US Economic Stimulus and the Prospects for International Coordination," Policy Briefs PB09-3, Peterson Institute for International Economics.
    6. Clinch, J. Peter & Healy, John D., 2000. "Domestic energy efficiency in Ireland: correcting market failure," Energy Policy, Elsevier, vol. 28(1), pages 1-8, January.
    7. 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.
    8. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    9. Greene, David L., 2011. "Uncertainty, loss aversion, and markets for energy efficiency," Energy Economics, Elsevier, vol. 33(4), pages 608-616, July.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    12. John M. Rose & Michiel C. J. Bliemer, 2008. "Constructing Efficient Stated Choice Experimental Designs," Transport Reviews, Taylor & Francis Journals, vol. 29(5), pages 587-617, October.
    13. Levinson, Arik & Niemann, Scott, 2004. "Energy use by apartment tenants when landlords pay for utilities," Resource and Energy Economics, Elsevier, vol. 26(1), pages 51-75, March.
    14. Ronald Cummings & Mary Beth Walker, 2000. "Measuring the effectiveness of voluntary emission reduction programmes," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1719-1726.
    15. Train, Kenneth, 1985. "Discount rates in consumers' energy-related decisions: A review of the literature," Energy, Elsevier, vol. 10(12), pages 1243-1253.
    16. Gilbert E. Metcalf & Donald Rosenthal, 1995. "The “new” view of investment decisions and public policy analysis: An application to green lights and cold refrigerators," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 14(4), pages 517-531.
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    Cited by:

    1. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.

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    More about this item

    Keywords

    energy efficiency; energy savings; choice experiments; discount rates; residential energy use;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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