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The effect of information nudges on energy saving: Observations from a randomized field experiment in Finland

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  • Ruokamo, Enni
  • Meriläinen, Teemu
  • Karhinen, Santtu
  • Räihä, Jouni
  • Suur-Uski, Päivi
  • Timonen, Leila
  • Svento, Rauli

Abstract

Field experiments have shown that information nudging can help households to save energy, however, the effectiveness varies depending on aspects such as information content, delivery mode and study area. This article evaluates the impacts of information nudges on residential electricity consumption with a randomized field experiment. This opt-in experiment was conducted in Finland. Information was administered via monthly email newsletters and an online energy service platform. The aim is to find out whether i) energy saving tips combined with and without online energy service platform providing electricity consumption information, and ii) peer comparisons (i.e., social norm) influence households’ electricity consumption. The results show a high seasonal variation in the treatment effects within the groups who were registered users of the online energy service platform. Those with access to usage feedback and versatile energy savings tips (without the social norm comparisons) reduced their electricity consumption around 10% in wintertime. The results imply challenges in encouraging energy saving behavior among households less interested in following their electricity consumption.

Suggested Citation

  • Ruokamo, Enni & Meriläinen, Teemu & Karhinen, Santtu & Räihä, Jouni & Suur-Uski, Päivi & Timonen, Leila & Svento, Rauli, 2022. "The effect of information nudges on energy saving: Observations from a randomized field experiment in Finland," Energy Policy, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:enepol:v:161:y:2022:i:c:s0301421521005978
    DOI: 10.1016/j.enpol.2021.112731
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    Cited by:

    1. Lia Marchi & Jacopo Gaspari, 2023. "Energy Conservation at Home: A Critical Review on the Role of End-User Behavior," Energies, MDPI, vol. 16(22), pages 1-22, November.
    2. Troy Malatesta & Gregory M. Morrison & Jessica K. Breadsell & Christine Eon, 2023. "A Systematic Literature Review of the Interplay between Renewable Energy Systems and Occupant Practices," Sustainability, MDPI, vol. 15(12), pages 1-27, June.
    3. Adélaïde Fadhuile & Daniel Llerena & Béatrice Roussillon, 2023. "Intrinsic motivation to promote the development of renewable energy: a field experiment from household demand," Working Papers 2023-01, Grenoble Applied Economics Laboratory (GAEL).
    4. Zhang, Chaoqun & Zha, Donglan & Jiang, Pansong & Wang, Fu & Yang, Guanglei & Salman, Muhammad & Wu, Qing, 2023. "The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    5. von Zahn, Moritz & Bauer, Kevin & Mihale-Wilson, Cristina & Jagow, Johanna & Speicher, Max & Hinz, Oliver, 2022. "The smart green nudge: Reducing product returns through enriched digital footprints & causal machine learning," SAFE Working Paper Series 363, Leibniz Institute for Financial Research SAFE, revised 2022.
    6. Alettin Irmak & Nurlan Kurmanov & Onaikhan Zhadigerova & Zukhra Turdiyeva & Aigul Bakirbekova & Gaukhar Saimagambetova & Assilbek Baidakov & Aigul Mukhamejanova & Madina Tolysbayeva & Sagyngali Seitzh, 2023. "Shaping Energy-Saving Behavior in Education System: A Systematic Review," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 46-60, July.
    7. Anne Immonen & Maria Kopsakangas-Savolainen, 2022. "Capturing Consumers’ Awareness and the Intention to Support Carbon Neutrality through Energy Efficient Consumption," Energies, MDPI, vol. 15(11), pages 1-27, May.
    8. Haicheng Ling & Pierre-Yves Massé & Thibault Rihet & Frédéric Wurtz, 2023. "Realistic Nudging through ICT Pipelines to Help Improve Energy Self-Consumption for Management in Energy Communities," Energies, MDPI, vol. 16(13), pages 1-24, July.
    9. Pratik Mochi & Kartik Pandya & Joao Soares & Zita Vale, 2023. "Optimizing Power Exchange Cost Considering Behavioral Intervention in Local Energy Community," Mathematics, MDPI, vol. 11(10), pages 1-15, May.

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    More about this item

    Keywords

    Behavior; Conservation; Electricity; Energy advice; Experiment; Finland; Intervention; Nudging; Randomized field trial; Social norm;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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