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Information Provision, Market Incentives, and Household Electricity Consumption: Evidence from a Large-Scale Field Deployment

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  • Steve Martin
  • Nicholas Rivers

Abstract

We evaluate a large-scale field deployment in which close to 7,000 households subject to time-of-using electricity pricing were provided with an in-home display that provides real-time feedback on electricity consumption and price. We find that receipt of the device results in a reduction in average electricity consumption of about 3%, with this effect roughly constant across hours of the day. We find evidence that households respond to this information in part by forming habits rather than adjusting their load-shifting behavior. We also find that real-time information has an ambiguous effect on household responsiveness to electricity prices, counter to existing literature where information increases responsiveness to price.

Suggested Citation

  • Steve Martin & Nicholas Rivers, 2018. "Information Provision, Market Incentives, and Household Electricity Consumption: Evidence from a Large-Scale Field Deployment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(1), pages 207-231.
    • Handle: RePEc:ucp:jaerec:doi:10.1086/694036
    DOI: 10.1086/694036
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    Cited by:

    1. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    2. Lo Piano, S. & Smith, S.T., 2022. "Energy demand and its temporal flexibility: Approaches, criticalities and ways forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    3. Kayo Murakami & Hideki Shimada & Yoshiaki Ushifusa & Takanori Ida, 2022. "Heterogeneous Treatment Effects Of Nudge And Rebate: Causal Machine Learning In A Field Experiment On Electricity Conservation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1779-1803, November.
    4. Ekaterina Alekhanova, 2023. "Summertime Sadness: Time Sensitivity of Electricity Savings from a Behavioral Nudge," Carleton Economic Papers 23-01, Carleton University, Department of Economics, revised 11 Nov 2023.
    5. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    6. Jesse Burkhardt & Kenneth Gillingham & Praveen K. Kopalle, 2019. "Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption," NBER Working Papers 25576, National Bureau of Economic Research, Inc.
    7. Kapeller, Rudolf & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2023. "Incentivizing residential electricity consumers to increase demand during periods of high local solar generation," Energy Economics, Elsevier, vol. 127(PA).
    8. Maya Papineau & Nicholas Rivers, "undated". "Visualizing Energy Efficiency: A Picture is Worth More Than 1,022 Words," Carleton Economic Papers 19-10, Carleton University, Department of Economics.
    9. Gosnell, Greer & McCoy, Daire, 2023. "Market failures and willingness to accept smart meters: Experimental evidence from the UK," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    10. Azarova, Valeriya & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2020. "Reducing household electricity consumption during evening peak demand times: Evidence from a field experiment," Energy Policy, Elsevier, vol. 144(C).

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