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Nudging energy efficiency behavior: The effect of message framing on implicit discount rate

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  • Park, Jiyong
  • Son, WooJin
  • Moon, HyungBin
  • Woo, JongRoul

Abstract

We experimentally and empirically analyzed how gain-framing and loss-framing information regarding the economic benefits of purchasing a high-efficiency appliance affects consumers' implicit discount rate (IDR). For the empirical analysis, we focused on the South Korean air purifier market, and we used the contingent valuation method to estimate the IDR. The results suggest differences in consumer groups that respond more sensitively to message framing. In the loss frame, the respondents' cognition level showed an influence on the IDR. The median IDR was 10.15% and 6.59% in the gain and loss frames, respectively. These figures were higher than the general market discount rate, regardless of how the given information was framed, thus confirming an energy efficiency gap. We deduced that there are more consumers with a very low IDR in the loss frame than in the gain frame. Hence, it will be possible to reduce the energy efficiency investment gap and encourage consumers to voluntarily invest in energy efficiency through message framing nudging via consumption efficiency appliance labels.

Suggested Citation

  • Park, Jiyong & Son, WooJin & Moon, HyungBin & Woo, JongRoul, 2023. "Nudging energy efficiency behavior: The effect of message framing on implicit discount rate," Energy Economics, Elsevier, vol. 117(C).
    • Handle: RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322006144
    DOI: 10.1016/j.eneco.2022.106485
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    as
    1. Olsthoorn, Mark & Schleich, Joachim & Gassmann, Xavier & Faure, Corinne, 2017. "Free riding and rebates for residential energy efficiency upgrades: A multi-country contingent valuation experiment," Energy Economics, Elsevier, vol. 68(S1), pages 33-44.
    2. Backlund, Sandra & Thollander, Patrik & Palm, Jenny & Ottosson, Mikael, 2012. "Extending the energy efficiency gap," Energy Policy, Elsevier, vol. 51(C), pages 392-396.
    3. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    4. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    5. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    6. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    7. 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..
    8. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    9. Bruderer Enzler, Heidi & Diekmann, Andreas & Meyer, Reto, 2014. "Subjective discount rates in the general population and their predictive power for energy saving behavior," Energy Policy, Elsevier, vol. 65(C), pages 524-540.
    10. Meier, Alan K. & Whittier, Jack, 1983. "Consumer discount rates implied by purchases of energy-efficient refrigerators," Energy, Elsevier, vol. 8(12), pages 957-962.
    11. Hanemann, W Michael, 1991. "Willingness to Pay and Willingness to Accept: How Much Can They Differ?," American Economic Review, American Economic Association, vol. 81(3), pages 635-647, June.
    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. 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.
    14. 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.
    15. Bull, Joe, 2012. "Loads of green washing—can behavioural economics increase willingness-to-pay for efficient washing machines in the UK?," Energy Policy, Elsevier, vol. 50(C), pages 242-252.
    16. Cairns, John & van der Pol, Marjon, 2000. "Valuing future private and social benefits: The discounted utility model versus hyperbolic discounting models," Journal of Economic Psychology, Elsevier, vol. 21(2), pages 191-205, April.
    17. Silvi, Mariateresa & Padilla Rosa, Emilio, 2021. "Reversing impatience: Framing mechanisms to increase the purchase of energy-saving appliances," Energy Economics, Elsevier, vol. 103(C).
    18. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-276, May.
    19. Seo-Hyeon Min & Seul-Ye Lim & Seung-Hoon Yoo, 2017. "Consumers’ Willingness to Pay a Premium for Eco-Labeled LED TVs in Korea: A Contingent Valuation Study," Sustainability, MDPI, vol. 9(5), pages 1-12, May.
    20. 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.
    21. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    22. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    23. Abdullah, Sabah & Jeanty, P. Wilner, 2011. "Willingness to pay for renewable energy: Evidence from a contingent valuation survey in Kenya," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2974-2983, August.
    24. Krishnamurthy, Parthasarathy & Carter, Patrick & Blair, Edward, 2001. "Attribute Framing and Goal Framing Effects in Health Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 85(2), pages 382-399, July.
    25. 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.
    26. Todd Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Deconstructing the Energy-Efficiency Gap: Conceptual Frameworks and Evidence," American Economic Review, American Economic Association, vol. 105(5), pages 183-186, May.
    27. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
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    Cited by:

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    3. Park, Jiyong & Woo, JongRoul, 2023. "Analyzing consumers' willingness to purchase energy-efficient appliances in response to energy price changes: Case study of South Korea," Energy Economics, Elsevier, vol. 127(PA).

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    More about this item

    Keywords

    Energy efficiency behavior; Message framing effect; Implicit discount rate; Nudge theory; Contingent valuation method;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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