IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v97y2018icp276-289.html
   My bibliography  Save this article

Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence

Author

Listed:
  • Nicolson, Moira L.
  • Fell, Michael J.
  • Huebner, Gesche M.

Abstract

Time of use (TOU) tariffs, if widely adopted, could help make electricity more secure, clean and affordable. However, quite little is known about whether consumers will switch to a TOU tariff or what might increase uptake if switching rates are lower than required. This paper presents the results of a systematized review and meta-analysis combining the results of 66 measures of uptake to a variety of TOU tariffs across 27 studies conducted in six countries. It provides the first robust estimate of consumer demand and correlates of demand for TOU tariffs that is not based on the results from just a single study or tariff. Four main conclusions emerge. First, if consumers are left to opt-in to TOU tariffs, uptake could be as low as 1% unless efforts are made to close the intention-action gap, otherwise enrolment could reach 43%. Second, if enrolment is opt-out, uptake could approach 100%. Third, whilst national surveys indicate the potential appetite for TOU tariffs in a population, they are insufficient for predicting future TOU tariff adoption rates; the median proportion of domestic energy bill payers who say they would be willing to switch to a TOU tariff in national surveys is five times higher than the median enrolment rate to TOU tariffs offered by utilities. Fourth, real-time pricing tariffs, in which the price of electricity varies freely throughout the day, are less popular than static TOU tariffs which have fixed peak and off-peak rates. This paper discusses the limitations of opt-out enrolment for TOU tariffs and presents results suggesting that small upfront payments, bill protection and automation are promising alternative methods of increasing opt-in enrolment. Policymakers and researchers should now consider how recruitment will be performed, weighing up the benefits to society as a whole against the distributional impacts for individuals and groups.

Suggested Citation

  • Nicolson, Moira L. & Fell, Michael J. & Huebner, Gesche M., 2018. "Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 276-289.
  • Handle: RePEc:eee:rensus:v:97:y:2018:i:c:p:276-289
    DOI: 10.1016/j.rser.2018.08.040
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032118306257
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2018.08.040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hobman, Elizabeth V. & Frederiks, Elisha R. & Stenner, Karen & Meikle, Sarah, 2016. "Uptake and usage of cost-reflective electricity pricing: Insights from psychology and behavioural economics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 455-467.
    2. 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.
    3. Gabriel D. Carroll & James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Optimal Defaults and Active Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1639-1674.
    4. Laura C. Haynes & Donald P. Green & Rory Gallagher & Peter John & David J. Torgerson, 2013. "Collection of Delinquent Fines: An Adaptive Randomized Trial to Assess the Effectiveness of Alternative Text Messages," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(4), pages 718-730, September.
    5. Moira Nicolson & Gesche M. Huebner & David Shipworth & Simon Elam, 2017. "Tailored emails prompt electric vehicle owners to engage with tariff switching information," Nature Energy, Nature, vol. 2(6), pages 1-6, June.
    6. Andreoni, James, 1995. "Cooperation in Public-Goods Experiments: Kindness or Confusion?," American Economic Review, American Economic Association, vol. 85(4), pages 891-904, September.
    7. Hartway, Rob & Price, Snuller & Woo, C.K, 1999. "Smart meter, customer choice and profitable time-of-use rate option," Energy, Elsevier, vol. 24(10), pages 895-903.
    8. John C. Whitehead & Glenn C. Blomquist, 2006. "The Use of Contingent Valuation in Benefit–Cost Analysis," Chapters, in: Anna Alberini & James R. Kahn (ed.), Handbook on Contingent Valuation, chapter 4, Edward Elgar Publishing.
    9. Anna Alberini & James R. Kahn (ed.), 2006. "Handbook on Contingent Valuation," Books, Edward Elgar Publishing, number 1893.
    10. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
    11. Carreiro, Andreia M. & Jorge, Humberto M. & Antunes, Carlos Henggeler, 2017. "Energy management systems aggregators: A literature survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1160-1172.
    12. Train, Kenneth E & McFadden, Daniel L & Goett, Andrew A, 1987. "Consumer Attitudes and Voluntary Rate Schedules for Public Utilities," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 383-391, August.
    13. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    14. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    15. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
    16. Defeuilley, Christophe, 2009. "Retail competition in electricity markets," Energy Policy, Elsevier, vol. 37(2), pages 377-386, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muyi Yang & Yuanying Chi & Kristy Mamaril & Adam Berry & Xunpeng Shi & Liming Zhu, 2020. "Communication-Based Approach for Promoting Energy Consumer Switching: Some Evidence from Ofgem’s Database Trials in the United Kingdom," Energies, MDPI, vol. 13(19), pages 1-16, October.
    2. Stenner, Karen & Frederiks, Elisha R. & Hobman, Elizabeth V. & Cook, Stephanie, 2017. "Willingness to participate in direct load control: The role of consumer distrust," Applied Energy, Elsevier, vol. 189(C), pages 76-88.
    3. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
    4. Yunusov, Timur & Torriti, Jacopo, 2021. "Distributional effects of Time of Use tariffs based on electricity demand and time use," Energy Policy, Elsevier, vol. 156(C).
    5. Belton, Cameron A. & Lunn, Peter D., 2020. "Smart choices? An experimental study of smart meters and time-of-use tariffs in Ireland," Energy Policy, Elsevier, vol. 140(C).
    6. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2014. "Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response," Applied Energy, Elsevier, vol. 126(C), pages 297-306.
    7. Funahashi, Hiroaki & Shibli, Simon & Sotiriadou, Popi & Mäkinen, Jarmo & Dijk, Bake & De Bosscher, Veerle, 2020. "Valuing elite sport success using the contingent valuation method: A transnational study," Sport Management Review, Elsevier, vol. 23(3), pages 548-562.
    8. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
    9. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    10. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    11. Woo, C.K. & Li, R. & Shiu, A. & Horowitz, I., 2013. "Residential winter kWh responsiveness under optional time-varying pricing in British Columbia," Applied Energy, Elsevier, vol. 108(C), pages 288-297.
    12. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N., 2022. "Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Hobman, Elizabeth V. & Frederiks, Elisha R. & Stenner, Karen & Meikle, Sarah, 2016. "Uptake and usage of cost-reflective electricity pricing: Insights from psychology and behavioural economics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 455-467.
    14. Parag, Yael, 2021. "Which factors influence large households’ decision to join a time-of-use program? The interplay between demand flexibility, personal benefits and national benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    15. Yilmaz, Selin & Xu, Xiaojing & Cabrera, Daniel & Chanez, Cédric & Cuony, Peter & Patel, Martin K., 2020. "Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey," Energy, Elsevier, vol. 212(C).
    16. Hatton MacDonald, Darla & Ardeshiri, Ali & Rose, John M. & Russell, Bayden D. & Connell, Sean D., 2015. "Valuing coastal water quality: Adelaide, South Australia metropolitan area," Marine Policy, Elsevier, vol. 52(C), pages 116-124.
    17. Laurie Buys & Desley Vine & Gerard Ledwich & John Bell & Kerrie Mengersen & Peter Morris & Jim Lewis, 2015. "A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-20, March.
    18. Guo, Peiyang & Lam, Jacqueline C.K. & Li, Victor O.K., 2019. "Drivers of domestic electricity users’ price responsiveness: A novel machine learning approach," Applied Energy, Elsevier, vol. 235(C), pages 900-913.
    19. Noppers, Ernst H. & Keizer, Kees & Milovanovic, Marko & Steg, Linda, 2016. "The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems," Energy Policy, Elsevier, vol. 98(C), pages 12-18.
    20. Mbabazi, Esther Gloria, 2016. "Cost Effectiveness Of And Willingness To Pay For Vaccination Of Village Free-Range Poultry Against Newcastle Disease In Iganga District," Research Theses 265577, Collaborative Masters Program in Agricultural and Applied Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:97:y:2018:i:c:p:276-289. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.