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Unintended anchors: Building rating systems and energy performance goals for U.S. buildings

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  • Klotz, Leidy
  • Mack, Daniel
  • Klapthor, Brent
  • Tunstall, Casey
  • Harrison, Jennilee
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    Abstract

    In the U.S., where buildings account for 40% of energy use, commercial buildings use more energy per unit area than ever before. However, exemplary buildings demonstrate the feasibility of much better energy performance at no additional first cost. This research examines one possible explanation for this inconsistency. The aim is to investigate whether the anchoring bias, which refers to our tendency to gravitate towards a pre-defined standard regardless of its relevance, influences energy performance goals in building design. The scope examines professionals who help set energy performance goals for U.S. buildings. Prior to being asked to set an energy performance goal, these professionals were randomly directed to one of three series of questions. One series set an anchor of 90% energy reduction beyond standard practice, one set a 30% anchor, and one set no anchor. Respondents exposed to the 90% anchor, and respondents exposed to no anchor at all, set higher energy performance goals than respondents exposed to the 30% anchor. These results suggest that building rating systems that only reward incremental energy improvements may inadvertently create anchors, thereby discouraging more advanced energy performance goals and inhibiting energy performance that is technically and economically feasible.

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    File URL: http://www.sciencedirect.com/science/article/B6V2W-4YH49CM-3/2/d6cde42d87317107d9d42c3a9b385f00
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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 38 (2010)
    Issue (Month): 7 (July)
    Pages: 3557-3566

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    Handle: RePEc:eee:enepol:v:38:y:2010:i:7:p:3557-3566

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Buildings Anchoring Cognitive Bias;

    References

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    1. Moxnes, Erling, 2004. "Estimating customer utility of energy efficiency standards for refrigerators," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 707-724, December.
    2. Gillingham, Kenneth & Newell, Richard G. & Palmer, Karen, 2009. "Energy Efficiency Economics and Policy," Discussion Papers dp-09-13, Resources For the Future.
    3. Sunstein, Cass R. & Thaler, Richard H., 2003. "Libertarian Paternalism Is Not An Oxymoron," Working paper 320, Regulation2point0.
    4. Samuelson, William & Zeckhauser, Richard, 1988. " Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    5. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    6. Turrentine, Tom & Kurani, Kenneth S, 2007. "Car buyers and fuel economy?," Institute of Transportation Studies, Working Paper Series qt56x845v4, Institute of Transportation Studies, UC Davis.
    7. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    8. Turrentine, Thomas S. & Kurani, Kenneth S., 2007. "Car buyers and fuel economy?," Energy Policy, Elsevier, vol. 35(2), pages 1213-1223, February.
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