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Green, yellow or red lemons? Framed field experiment on houses energy labels perception

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  • Edouard Civel
  • Nathaly Cruz-Garcia

Abstract

Labels are increasingly popular among policy-makers, companies and NGOs to improve consumers awareness, especially about environmental footprints. Yet, the efficiency of these informational tools is mostly looked as their ability to shift behaviors, whereas their first goal is to enable people to discriminate labelled goods. This paper studies how the complex information displayed by houses' Energy Performance Certificates is processed by real economic agents. Through a randomized framed field experiment on 3,000 French subjects, we test the impact of these labels on people's perception of a home energy performance. Results evidence that 24% of subjects did not take heed of the energy label. Unexpectedly, we find out that gender is the most differentiating characteristic in this changing sensitivity to energy performance certificates. We interpret this effect by the Selectivity Hypothesis: energy labels design engages more male subjects.Among sensitive subjects, energy labels' efficiency to transmit information is mixed, as our results indicate a Bayesian reading of houses energy labels. Subjects identify separately each label's grades, and their perception is not systematically biased by individual characteristics, but idiosyncratic features blur their judgment. Moreover, this perception exhibits strong asymmetries. While worsening grades induce decreasing judgments, upgrading label's class do not strongly enhance people's evaluation of energy quality: on the contrary, top level quality label seems to undergo skepticism and intensifies idiosyncratic noise.

Suggested Citation

  • Edouard Civel & Nathaly Cruz-Garcia, 2018. "Green, yellow or red lemons? Framed field experiment on houses energy labels perception," EconomiX Working Papers 2018-35, University of Paris Nanterre, EconomiX.
  • Handle: RePEc:drm:wpaper:2018-35
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    as
    1. Ben Youssef Adel & Abderrazak Chema, 2009. "Multiplicity of Eco-Labels, Competition, and the Environment," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 7(2), pages 1-24, December.
    2. Brécard, Dorothée, 2014. "Consumer confusion over the profusion of eco-labels: Lessons from a double differentiation model," Resource and Energy Economics, Elsevier, vol. 37(C), pages 64-84.
    3. Panzone, Luca & Hilton, Denis & Sale, Laura & Cohen, Doron, 2016. "Socio-demographics, implicit attitudes, explicit attitudes, and sustainable consumption in supermarket shopping," Journal of Economic Psychology, Elsevier, vol. 55(C), pages 77-95.
    4. Stavins, Robert N., 2003. "Experience with market-based environmental policy instruments," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 9, pages 355-435, Elsevier.
    5. Cason, Timothy N. & Gangadharan, Lata, 2002. "Environmental Labeling and Incomplete Consumer Information in Laboratory Markets," Journal of Environmental Economics and Management, Elsevier, vol. 43(1), pages 113-134, January.
    6. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    7. Collado, Rocío Román & Díaz, María Teresa Sanz, 2017. "Analysis of energy end-use efficiency policy in Spain," Energy Policy, Elsevier, vol. 101(C), pages 436-446.
    8. Laurent Muller & M. Prevost, 2016. "What cognitive sciences have to say about the impacts of nutritional labelling formats," Post-Print hal-01349185, HAL.
    9. Meyers-Levy, Joan & Maheswaran, Durairaj, 1991. "Exploring Differences in Males' and Females' Processing Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(1), pages 63-70, June.
    10. Laurent Muller & Marie Prevost, 2016. "What cognitive sciences have to say about the impacts of nutritional labelling formats," Post-Print hal-01306124, HAL.
    11. Shewmake, Sharon & Okrent, Abigail & Thabrew, Lanka & Vandenbergh, Michael, 2015. "Predicting consumer demand responses to carbon labels," Ecological Economics, Elsevier, vol. 119(C), pages 168-180.
    12. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    13. Patricia Espinheira & Silvia Ferrari & Francisco Cribari-Neto, 2008. "On beta regression residuals," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(4), pages 407-419.
    14. Hyland, Marie & Lyons, Ronan C. & Lyons, Seán, 2013. "The value of domestic building energy efficiency — evidence from Ireland," Energy Economics, Elsevier, vol. 40(C), pages 943-952.
    15. Franz Fuerst & Patrick McAllister, 2011. "Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(1), pages 45-69, March.
    16. Wolin, Lori D., 2003. "Gender Issues in Advertising—An Oversight Synthesis of Research: 1970–2002," Journal of Advertising Research, Cambridge University Press, vol. 43(1), pages 111-129, March.
    17. Muller, L. & Prevost, M., 2016. "What cognitive sciences have to say about the impacts of nutritional labelling formats," Journal of Economic Psychology, Elsevier, vol. 55(C), pages 17-29.
    18. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    19. Simas, Alexandre B. & Barreto-Souza, Wagner & Rocha, Andréa V., 2010. "Improved estimators for a general class of beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 348-366, February.
    20. Santos, Rui & Antunes, Paula & Baptista, Gualter & Mateus, Pedro & Madruga, Luisa, 2006. "Stakeholder participation in the design of environmental policy mixes," Ecological Economics, Elsevier, vol. 60(1), pages 100-110, November.
    21. Soham Baksi & Pinaki Bose & Di Xiang, 2017. "Credence Goods, Misleading Labels, and Quality Differentiation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 377-396, October.
    22. Kahn, Matthew E. & Kok, Nils, 2014. "The capitalization of green labels in the California housing market," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 25-34.
    23. Fuerst, Franz & McAllister, Patrick & Nanda, Anupam & Wyatt, Peter, 2015. "Does energy efficiency matter to home-buyers? An investigation of EPC ratings and transaction prices in England," Energy Economics, Elsevier, vol. 48(C), pages 145-156.
    24. Brécard, Dorothée & Hlaimi, Boubaker & Lucas, Sterenn & Perraudeau, Yves & Salladarré, Frédéric, 2009. "Determinants of demand for green products: An application to eco-label demand for fish in Europe," Ecological Economics, Elsevier, vol. 69(1), pages 115-125, November.
    25. Miquel, María-José & Caplliure, Eva-María & Pérez, Carmen & Bigné, Enrique, 2017. "Buying private label in durables: Gender and other psychological variables," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 349-357.
    26. Min, Jihoon & Azevedo, Inês L. & Michalek, Jeremy & de Bruin, Wändi Bruine, 2014. "Labeling energy cost on light bulbs lowers implicit discount rates," Ecological Economics, Elsevier, vol. 97(C), pages 42-50.
    27. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    28. Olsen, Marvin E., 1983. "Public acceptance of consumer energy conservation strategies," Journal of Economic Psychology, Elsevier, vol. 4(1-2), pages 183-196, October.
    29. 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.
    30. Crosetto, Paolo & Muller, Laurent & Ruffieux, Bernard, 2016. "Helping consumers with a front-of-pack label: Numbers or colors?," Journal of Economic Psychology, Elsevier, vol. 55(C), pages 30-50.
    31. Miller, Gabrielle F. & Gupta, Sonam & Kropp, Jaclyn D. & Grogan, Kelly A. & Mathews, Anne, 2016. "The effects of pre-ordering and behavioral nudges on National School Lunch Program participants’ food item selection," Journal of Economic Psychology, Elsevier, vol. 55(C), pages 4-16.
    32. Stadelmann, Marcel & Schubert, Renate, 2018. "How Do Different Designs of Energy Labels Influence Purchases of Household Appliances? A Field Study in Switzerland," Ecological Economics, Elsevier, vol. 144(C), pages 112-123.
    33. Verplanken, Bas & Weenig, Mieneke W. H., 1993. "Graphical energy labels and consumers' decisions about home appliances: A process tracing approach," Journal of Economic Psychology, Elsevier, vol. 14(4), pages 739-752, December.
    34. Santarius, Tilman & Soland, Martin, 2018. "How Technological Efficiency Improvements Change Consumer Preferences: Towards a Psychological Theory of Rebound Effects," Ecological Economics, Elsevier, vol. 146(C), pages 414-424.
    35. repec:cup:judgdm:v:11:y:2016:i:5:p:460-471 is not listed on IDEAS
    36. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
    37. Teisl, Mario F. & Rubin, Jonathan & Noblet, Caroline L., 2008. "Non-dirty dancing? Interactions between eco-labels and consumers," Journal of Economic Psychology, Elsevier, vol. 29(2), pages 140-159, April.
    38. Mark A. Andor, Andreas Gerster, and Stephan Sommer, 2020. "Consumer Inattention, Heuristic Thinking and the Role of Energy Labels," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    39. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    40. 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.
    41. Dorothée Brécard, 2017. "Consumer misperception of eco-labels, green market structure and welfare," Journal of Regulatory Economics, Springer, vol. 51(3), pages 340-364, June.
    42. Brounen, Dirk & Kok, Nils, 2011. "On the economics of energy labels in the housing market," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 166-179, September.
    43. Sébastien Houde, 2018. "How consumers respond to product certification and the value of energy information," RAND Journal of Economics, RAND Corporation, vol. 49(2), pages 453-477, June.
    44. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    45. Steiner, B.E. & Peschel, A.O. & Grebitus, C., 2017. "Multi-Product Category Choices Labeled for Ecological Footprints: Exploring Psychographics and Evolved Psychological Biases for Characterizing Latent Consumer Classes," Ecological Economics, Elsevier, vol. 140(C), pages 251-264.
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    More about this item

    Keywords

    Information treatment ; Experimental economics ; Cognitive psychology ; Green Value ; Energy efficiency.;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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