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What Do People 'Learn By Looking' at Direct Feedback on their Energy Consumption? Results of a Field Study in Southern France

Author

Listed:
  • Adnane Kendel

    (Université Côte d'Azur
    GREDEG-CNRS)

  • Nathalie Lazaric

    (Université Côte d'Azur
    GREDEG-CNRS)

  • Kevin Maréchal

    (Gembloux Agro-BioTech
    Université de Liège, Belgium)

Abstract

The abundant literature on consumer feedback shows that it is an efficient instrument for reducing household energy consumption. However, the reported reductions are strongly dependent on contextual factors and on the type of feedback provided. Given the importance of learning to this respect, this dimension constitutes the core focus of the present study which reports the findings of the TICELEC (i.e. French acronym for information technologies for responsible electricity consumption) project in France. The experiment included a control group (G1: the self-monitoring group) and one equipped group (G2). All participants reduced their consumption and learnt either directly from feedback or indirectly through self-monitoring. The amount of energy savings, which is larger than in similar experiments, can be explained by two factors. First, the specificity of our sample (i.e. high income, high consumption) which allows for potentially large energy savings. Second, high involvement of participants and the building of trust. The quantitative and qualitative dimensions of learning are then discussed. Additionally, we focus on peak-load shifting in G2 with 2 subgroups (G21 and G22). The higher proportion of shifters in G22 and the higher ‘quality’ of their shifting suggest a higher level of learning enabled by the more sophisticated feedback. Although this translated into only a moderately higher rate of energy savings, the higher degree of absorbed knowledge (i.e. through ‘learning by looking through connecting’) might lead to a qualitatively distinctive type of energy saving.

Suggested Citation

  • Adnane Kendel & Nathalie Lazaric & Kevin Maréchal, 2017. "What Do People 'Learn By Looking' at Direct Feedback on their Energy Consumption? Results of a Field Study in Southern France," GREDEG Working Papers 2017-19, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Handle: RePEc:gre:wpaper:2017-19
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    1. Vassileva, Iana & Campillo, Javier, 2014. "Increasing energy efficiency in low-income households through targeting awareness and behavioral change," Renewable Energy, Elsevier, vol. 67(C), pages 59-63.
    2. Verbong, Geert P.J. & Beemsterboer, Sjouke & Sengers, Frans, 2013. "Smart grids or smart users? Involving users in developing a low carbon electricity economy," Energy Policy, Elsevier, vol. 52(C), pages 117-125.
    3. Ma, Hengyun & Oxley, Les, 2011. "Are China's energy markets cointegrated?," China Economic Review, Elsevier, vol. 22(3), pages 398-407, September.
    4. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    5. Gangale, Flavia & Mengolini, Anna & Onyeji, Ijeoma, 2013. "Consumer engagement: An insight from smart grid projects in Europe," Energy Policy, Elsevier, vol. 60(C), pages 621-628.
    6. Strengers, Yolande, 2012. "Peak electricity demand and social practice theories: Reframing the role of change agents in the energy sector," Energy Policy, Elsevier, vol. 44(C), pages 226-234.
    7. Buchanan, Kathryn & Russo, Riccardo & Anderson, Ben, 2015. "The question of energy reduction: The problem(s) with feedback," Energy Policy, Elsevier, vol. 77(C), pages 89-96.
    8. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    9. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    10. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    11. Vassileva, Iana & Dahlquist, Erik & Wallin, Fredrik & Campillo, Javier, 2013. "Energy consumption feedback devices’ impact evaluation on domestic energy use," Applied Energy, Elsevier, vol. 106(C), pages 314-320.
    12. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    13. Omar Al-Ubaydli & John List, 2012. "On the Generalizability of Experimental Results in Economics," Artefactual Field Experiments 00467, The Field Experiments Website.
    14. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2010. "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, Elsevier, vol. 38(10), pages 6111-6119, October.
    15. Krishnamurti, Tamar & Davis, Alexander L. & Wong-Parodi, Gabrielle & Wang, Jack & Canfield, Casey, 2013. "Creating an in-home display: Experimental evidence and guidelines for design," Applied Energy, Elsevier, vol. 108(C), pages 448-458.
    16. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in electric power systems utilizing energy storage and other enabling technologies," Energy Policy, Elsevier, vol. 35(9), pages 4424-4433, September.
    17. McCalley, L. T. & Midden, Cees J. H., 2002. "Energy conservation through product-integrated feedback: The roles of goal-setting and social orientation," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 589-603, October.
    18. repec:arz:wpaper:eres2011-156 is not listed on IDEAS
    19. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    20. Vassileva, Iana & Odlare, Monica & Wallin, Fredrik & Dahlquist, Erik, 2012. "The impact of consumers’ feedback preferences on domestic electricity consumption," Applied Energy, Elsevier, vol. 93(C), pages 575-582.
    21. Battalio, Raymond C, et al, 1979. "Residential Electricity Demand: An Experimental Study," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 180-189, May.
    22. Lopes, M.A.R. & Antunes, C.H. & Martins, N., 2012. "Energy behaviours as promoters of energy efficiency: A 21st century review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4095-4104.
    23. Clastres, Cédric, 2011. "Smart grids: Another step towards competition, energy security and climate change objectives," Energy Policy, Elsevier, vol. 39(9), pages 5399-5408, September.
    24. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2013. "Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term," Energy Policy, Elsevier, vol. 52(C), pages 126-134.
    25. Chancel, Lucas, 2014. "Are younger generations higher carbon emitters than their elders?," Ecological Economics, Elsevier, vol. 100(C), pages 195-207.
    26. 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.
    27. W. Kip Viscusi & Joel Huber & Jason Bell, 2011. "Promoting Recycling: Private Values, Social Norms, and Economic Incentives," American Economic Review, American Economic Association, vol. 101(3), pages 65-70, May.
    28. Schleich, Joachim & Klobasa, Marian & Gölz, Sebastian & Brunner, Marc, 2013. "Effects of feedback on residential electricity demand—Findings from a field trial in Austria," Energy Policy, Elsevier, vol. 61(C), pages 1097-1106.
    29. Ek, Kristina & Söderholm, Patrik, 2010. "The devil is in the details: Household electricity saving behavior and the role of information," Energy Policy, Elsevier, vol. 38(3), pages 1578-1587, March.
    30. Hong, Gui-Bing & Ma, Chih-Ming & Chen, Hua-Wei & Chuang, Kai-Jen & Chang, Chang-Tang & Su, Te-Li, 2011. "Energy flow analysis in pulp and paper industry," Energy, Elsevier, vol. 36(5), pages 3063-3068.
    31. Wilhite, Harold & Nakagami, Hidetoshi & Masuda, Takashi & Yamaga, Yukiko & Haneda, Hiroshi, 1996. "A cross-cultural analysis of household energy use behaviour in Japan and Norway," Energy Policy, Elsevier, vol. 24(9), pages 795-803, September.
    32. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    33. Maréchal, Kevin, 2010. "Not irrational but habitual: The importance of "behavioural lock-in" in energy consumption," Ecological Economics, Elsevier, vol. 69(5), pages 1104-1114, March.
    34. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    35. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-17, April.
    36. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    37. Burgess, Jacquelin & Nye, Michael, 2008. "Re-materialising energy use through transparent monitoring systems," Energy Policy, Elsevier, vol. 36(12), pages 4454-4459, December.
    38. Torriti, Jacopo & Hassan, Mohamed G. & Leach, Matthew, 2010. "Demand response experience in Europe: Policies, programmes and implementation," Energy, Elsevier, vol. 35(4), pages 1575-1583.
    39. Gram-Hanssen, Kirsten, 2014. "Existing buildings – Users, renovations and energy policy," Renewable Energy, Elsevier, vol. 61(C), pages 136-140.
    40. Sweeney, Jillian C. & Kresling, Johannes & Webb, Dave & Soutar, Geoffrey N. & Mazzarol, Tim, 2013. "Energy saving behaviours: Development of a practice-based model," Energy Policy, Elsevier, vol. 61(C), pages 371-381.
    41. Raina Gandhi, Christopher R. Knittel, Paula Pedro,and Catherine Wolfram, 2016. "Running Randomized Field Experiments for Energy Efficiency Programs: A Practitioners Guide," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    42. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems," Energy Policy, Elsevier, vol. 35(5), pages 2852-2861, May.
    43. Buenstorf, Guido & Cordes, Christian, 2008. "Can sustainable consumption be learned? A model of cultural evolution," Ecological Economics, Elsevier, vol. 67(4), pages 646-657, November.
    44. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    45. Sebastien Houde, Annika Todd, Anant Sudarshan, June A. Flora , and K. Carrie Armel, 2013. "Real-time Feedback and Electricity Consumption: A Field Experiment Assessing the Potential for Savings and Persistence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    46. Raymond Li, 2011. "Energy Futures Prices And The Us Dollar Exchange Rate," Australian Economic Papers, Wiley Blackwell, vol. 50(2-3), pages 62-73, September.
    47. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    48. Pasche, Markus, 2014. "Soft Paternalism and Nudging - Critique of the Behavioral Foundations," MPRA Paper 61140, University Library of Munich, Germany.
    49. Cédric Clastres, 2011. "Smart grids : Another step towards competition, energy security and climate change objectives," Post-Print halshs-00617702, HAL.
    50. Wang, Shujie & Yuan, Peng & Li, Dong & Jiao, Yuhe, 2011. "An overview of ocean renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 91-111, January.
    51. Martinsson, Johan & Lundqvist, Lennart J. & Sundström, Aksel, 2011. "Energy saving in Swedish households. The (relative) importance of environmental attitudes," Energy Policy, Elsevier, vol. 39(9), pages 5182-5191, September.
    Full references (including those not matched with items on IDEAS)

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    2. Gautier, Axel & Hoet, Brieuc & Jacqmin, Julien & Van Driessche, Sarah, 2019. "Self-consumption choice of residential PV owners under net-metering," Energy Policy, Elsevier, vol. 128(C), pages 648-653.
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    14. Christophe Charlier & Gilles Guerassimoff & Ankinée Kirakozian & Sandrine Selosse, 2021. "Under Pressure! Nudging Electricity Consumption within Firms. Feedback from a Field Experiment," The Energy Journal, , vol. 42(1), pages 129-154, January.
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    More about this item

    Keywords

    Household energy saving; learning; feedback; residential consumption;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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