IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v37y2016i3p199-230.html

On the Inequity of Flat-rate Electricity Tariffs

Author

Listed:
  • Paul Simshauser
  • David Downer

Abstract

Proposals to reform default ‘flat-rate’ electricity tariffs are rarely met with enthusiasm by consumer groups or policymakers because they produce winners and losers. Proposals to initiate more cost-reflective time-of-use rates will be met with cautious interest if the basis of customer participation is ‘opt-in’. Using the smart meter data of 160,000 residential customers from the Victorian region of Australia’s National Electricity Market, our tariff model reveals that households in financial hardship are the most adversely affected from existing flat-rate structures. Even after network tariff rebalancing, Hardship and Concession & Pensioner Households are, on average, beneficiaries of more cost-reflective tariff structures once Demand Response is accounted for.

Suggested Citation

  • Paul Simshauser & David Downer, 2016. "On the Inequity of Flat-rate Electricity Tariffs," The Energy Journal, , vol. 37(3), pages 199-230, July.
  • Handle: RePEc:sae:enejou:v:37:y:2016:i:3:p:199-230
    DOI: 10.5547/01956574.37.3.psim
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.37.3.psim
    Download Restriction: no

    File URL: https://libkey.io/10.5547/01956574.37.3.psim?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
    ---><---

    References listed on IDEAS

    as
    1. Severance, Craig A., 2011. "A Practical, Affordable (and Least Business Risk) Plan to Achieve "80% Clean Electricity" by 2035," The Electricity Journal, Elsevier, vol. 24(6), pages 8-26, July.
    2. Greg Shaffer & Z. John Zhang, 2000. "Pay to Switch or Pay to Stay: Preference‐Based Price Discrimination in Markets with Switching Costs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(3), pages 397-424, June.
    3. Nelson, Tim & Orton, Fiona, 2013. "A new approach to congestion pricing in electricity markets: Improving user pays pricing incentives," Energy Economics, Elsevier, vol. 40(C), pages 1-7.
    4. Severin Borenstein & Stephen Holland, 2005. "On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices," RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Staudt, Philipp & Dann, David, 2025. "Perceived complexity and effectiveness of dynamic electricity rate designs for smart markets," Applied Energy, Elsevier, vol. 394(C).
    2. Paul Simshauser, 2022. "The 2022 energy crisis: horizontal and vertical impacts of policy interventions in Australia's national electricity market," Working Papers EPRG2216, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    3. Morteza Neishaboori & Alireza Arshadi Khamseh & Abolfazl Mirzazadeh & Mostafa Esmaeeli & Hamed Davari Ardakani, 2024. "Stochastic optimal pricing for retail electricity considering demand response, renewable energy sources and environmental effects," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 435-451, October.
    4. Leslie, Gordon W. & Pourkhanali, Armin & Roger, Guillaume, 2024. "Is the clean energy transition making fixed-rate electricity tariffs regressive?," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).

    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. repec:aen:journl:ej37-3-simshauser is not listed on IDEAS
    2. Simshauser, Paul, 2018. "Price discrimination and the modes of failure in deregulated retail electricity markets," Energy Economics, Elsevier, vol. 75(C), pages 54-70.
    3. Simshauser, Paul, 2016. "Distribution network prices and solar PV: Resolving rate instability and wealth transfers through demand tariffs," Energy Economics, Elsevier, vol. 54(C), pages 108-122.
    4. Carsten Helm & Mathias Mier, 2020. "Steering the Energy Transition in a World of Intermittent Electricity Supply: Optimal Subsidies and Taxes for Renewables Storage," ifo Working Paper Series 330, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. repec:aen:journl:ej37-4-vesterberg is not listed on IDEAS
    6. Helm, Carsten & Mier, Mathias, 2021. "Steering the energy transition in a world of intermittent electricity supply: Optimal subsidies and taxes for renewables and storage," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    7. Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
    8. repec:aen:journl:ej37-si3-pahle is not listed on IDEAS
    9. Arlt, Marie-Louise & Chassin, David & Rivetta, Claudio & Sweeney, James, 2024. "Impact of real-time pricing and residential load automation on distribution systems," Energy Policy, Elsevier, vol. 184(C).
    10. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
    11. Krishnamurthy, Chandra Kiran B. & Vesterberg, Mattias & Böök, Herman & Lindfors, Anders V. & Svento, Rauli, 2018. "Real-time pricing revisited: Demand flexibility in the presence of micro-generation," Energy Policy, Elsevier, vol. 123(C), pages 642-658.
    12. Mier, Mathias & Weissbart, Christoph, 2020. "Power markets in transition: Decarbonization, energy efficiency, and short-term demand response," Energy Economics, Elsevier, vol. 86(C).
    13. Mattias Vesterberg & Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, , vol. 37(4), pages 141-164, October.
    14. Paul L. Joskow, 2012. "Creating a Smarter U.S. Electricity Grid," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 29-48, Winter.
    15. Biggar, Darryl R. & Hesamzadeh, Mohammad Reza, 2024. "Optimal retail contracts with contractible uncertainty," Energy Economics, Elsevier, vol. 136(C).
    16. Venizelou, Venizelos & Philippou, Nikolas & Hadjipanayi, Maria & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2018. "Development of a novel time-of-use tariff algorithm for residential prosumer price-based demand side management," Energy, Elsevier, vol. 142(C), pages 633-646.
    17. Katz, Jonas & Andersen, Frits Møller & Morthorst, Poul Erik, 2016. "Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system," Energy, Elsevier, vol. 115(P3), pages 1602-1616.
    18. Helm, Carsten & Mier, Mathias, 2016. "Efficient diffusion of renewable energies: A roller-coaster ride," VfS Annual Conference 2016 (Augsburg): Demographic Change 145893, Verein für Socialpolitik / German Economic Association.
    19. Paul L. Joskow & Catherine D. Wolfram, 2012. "Dynamic Pricing of Electricity," American Economic Review, American Economic Association, vol. 102(3), pages 381-385, May.
    20. repec:osf:thesis:7zprk_v1 is not listed on IDEAS
    21. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
    22. Helm, Carsten & Mier, Mathias, 2019. "On the efficient market diffusion of intermittent renewable energies," Energy Economics, Elsevier, vol. 80(C), pages 812-830.
    23. Lu, Yucun & Gorrasi, Chiara & Meus, Jelle & Bruninx, Kenneth & Delarue, Erik, 2024. "System-wide benefits of temporal alignment of wholesale–retail electricity prices," Applied Energy, Elsevier, vol. 373(C).
    24. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:sae:enejou:v:37:y:2016:i:3:p:199-230. 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: SAGE Publications (email available below). General contact details of provider: .

    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.