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Do households respond to Time-Of-Use tariffs? Evidence from Australia

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  • Burns, Kelly
  • Mountain, Bruce

Abstract

We estimate the elasticity of substitution for households on Time-Of-Use (TOU) tariffs using a sample of 6957 electricity bills from households in Victoria, Australia. Across the full sample we find the difference between peak and off-peak prices has little influence on the difference between peak and off-peak consumption and is not affected by access to rooftop photovoltaics. Households in the lowest socio-economic areas do not respond to differences in peak and off-peak prices. Our findings of the elasticity of substitution are remarkably similar to previous studies of TOU tariffs in the United States of America in the 1980s. This suggests retail market deregulation, the installation of smart meters, consumers' access to their consumption data and enduring policy support for TOU tariffs has not been rewarded with any measurable improvement in consumers' responsiveness to time-varying prices. While freedom to select TOU tariffs is valuable, these findings do not support the imposition of TOU tariffs as a default pricing policy.

Suggested Citation

  • Burns, Kelly & Mountain, Bruce, 2021. "Do households respond to Time-Of-Use tariffs? Evidence from Australia," Energy Economics, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988320304102
    DOI: 10.1016/j.eneco.2020.105070
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    References listed on IDEAS

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    1. Caves, Douglas W. & Christensen, Laurits R. & Herriges, Joseph A., 1984. "Consistency of residential customer response in time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 179-203.
    2. Parks, Richard W. & Weitzel, David, 1984. "Measuring the consumer welfare effects of time-differentiated electricity prices," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 35-64.
    3. Bartusch, Cajsa & Alvehag, Karin, 2014. "Further exploring the potential of residential demand response programs in electricity distribution," Applied Energy, Elsevier, vol. 125(C), pages 39-59.
    4. 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.
    5. Douglas W. Caves & Joseph A. Herriges & Kathleen A. Kuester, 1989. "Load Shifting Under Voluntary Residential Time-of-Use Rates," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 83-99.
    6. Caves, Douglas W. & Christensen, Laurits R., 1980. "Econometric analysis of residential time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, vol. 14(3), pages 287-306, December.
    7. 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.
    8. Douglas W. Caves & Laurits R. Christensen & Joseph A. Herriges, 1987. "The Neoclassical Model of Consumer Demand with Identically Priced Commodities: An Application to Time-of-Use Electricity Pricing," RAND Journal of Economics, The RAND Corporation, vol. 18(4), pages 564-580, Winter.
    9. Caves, Douglas W. & Christensen, L. R. & Herriges, Joseph A., 1987. "Neoclassical Model of Consumer Demand with Identically Priced Commodities; And An Application to Time of Use Electricity Pricing," Staff General Research Papers Archive 10793, Iowa State University, Department of Economics.
    10. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    11. Gyamfi, Samuel & Krumdieck, Susan & Urmee, Tania, 2013. "Residential peak electricity demand response—Highlights of some behavioural issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 71-77.
    12. Schneider, Ian & Sunstein, Cass R., 2017. "Behavioral considerations for effective time-varying electricity prices," Behavioural Public Policy, Cambridge University Press, vol. 1(2), pages 219-251, November.
    13. Bruno S. Frey & Reto Jegen, 2001. "Motivation Crowding Theory," Journal of Economic Surveys, Wiley Blackwell, vol. 15(5), pages 589-611, December.
    14. Douglas W. Caves and Laurits R. Christensen, 1980. "Residential Substitution of Off-peak for Peak Electricity Usage under Time-of-Use Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
    16. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
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    Cited by:

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    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).
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    5. Hampton, Harrison & Foley, Aoife M. & Del Rio, Dylan Furszyfer & Sovacool, Benjamin, 2022. "Developing future retail electricity markets with a customer-centric focus," Energy Policy, Elsevier, vol. 168(C).

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    More about this item

    Keywords

    Time-Of-Use; Load shifting; Elasticity of substitution; Electricity;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

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