Prices, information and nudges for residential electricity conservation: A meta-analysis

Penelope Buckley ()
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Penelope Buckley: GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: Incentivising households to lower their electricity consumption is increasingly used as a tool to create a more flexible electricity demand. Previous reviews estimate that electricity savings of 6.4–7.4% can be achieved through monetary, informational and behavioural incentives. This papers argues that a more realistic estimate is of a 1.9–3.9% reduction in consumption based on the most recent experimental data, from both peer-reviewed and grey literature sources. Using data from 52 studies published during the "Smart Grid Era" (2005 onwards), the effects of incentives from 128 observations, amounting to 713,002 households, are analysed. The results show that individual and real-time feedback as well as personalised advice on how to save electricity are more effective than feedback on electricity costs and general electricity savings tips which lead to relative increases in consumption. Despite improvements in the quality of more recent studies, the analysis highlights the importance of methodological rigour in carrying out and reporting effects of incentives: an absence of a control group, of socio-demographic data, and the self-selection of participants into treatment leads to overestimation of effects.

Keywords: Electricity consumption; Electricity conservation; Feedback Incentives; Meta-analysis; Nudges; Pricing; Residential (search for similar items in EconPapers)
Date: 2020-06
Note: View the original document on HAL open archive server: https://hal.science/hal-02500507v1
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Citations: View citations in EconPapers (48)

Published in Ecological Economics, 2020, 172 (June), 14 p. ⟨10.1016/j.ecolecon.2020.106635⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02500507

DOI: 10.1016/j.ecolecon.2020.106635

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