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The importance of marginal cost electricity pricing to the success of greenhouse gas reduction programs

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  • Friedman, Lee S.

Abstract

The efficient reduction of GHG emissions requires appropriate retail pricing of off-peak electricity. However, off-peak electricity for residential consumers is priced at 331% above its marginal cost in the United States as a whole (June 2009). Even for the 1% of residences that are on some form of time-of-use (TOU) rate schedule, the off-peak rate is almost three times higher than the marginal cost. A barrier to marginal-cost based TOU rates is that less than 9% of U.S. households have the “smart” meters in place that can measure and record the time of consumption. Policies should be put in place to achieve full deployment. Another important barrier is consumer concern about TOU rate design. Two TOU rate designs (baseline and two-part tariff) are described that utilize marginal-cost based rates, ensure appropriate cost recovery, and minimize bill changes from current rate structures. A final barrier is to get residences on to these rates. Should a marginal-cost based TOU rate design remain an alternative for which residences could “opt-in,” or become the default choice, or become mandatory? Time-invariant rates are a historical anachronism that subsidize very costly peak-period consumption and penalize off-peak usage to our environmental detriment. They should be phased out.

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  • Friedman, Lee S., 2011. "The importance of marginal cost electricity pricing to the success of greenhouse gas reduction programs," Energy Policy, Elsevier, vol. 39(11), pages 7347-7360.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:11:p:7347-7360
    DOI: 10.1016/j.enpol.2011.08.063
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    References listed on IDEAS

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    Cited by:

    1. Arlan Brucal & Nori Tarui, 2018. "Revenue Decoupling for Electric Utilities: Impacts on Prices and Welfare," Working Papers 201814, University of Hawaii at Manoa, Department of Economics.
    2. Peeter Pikk & Marko Viiding, 2013. "The dangers of marginal cost based electricity pricing," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 49-62, July.
    3. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    4. Milstein, Irena & Tishler, Asher, 2015. "Can price volatility enhance market power? The case of renewable technologies in competitive electricity markets," Resource and Energy Economics, Elsevier, vol. 41(C), pages 70-90.
    5. Smith Stegen, Karen & Seel, Matthias, 2013. "The winds of change: How wind firms assess Germany's energy transition," Energy Policy, Elsevier, vol. 61(C), pages 1481-1489.
    6. Brucal, Arlan & Tarui, Nori, 2021. "The effects of utility revenue decoupling on electricity prices," Energy Economics, Elsevier, vol. 101(C).
    7. Chen Wang & Kaile Zhou & Lanlan Li & Shanlin Yang, 2018. "Multi-agent simulation-based residential electricity pricing schemes design and user selection decision-making," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(3), pages 1309-1327, February.
    8. Gaiser, Kyle & Stroeve, Pieter, 2014. "The impact of scheduling appliances and rate structure on bill savings for net-zero energy communities: Application to West Village," Applied Energy, Elsevier, vol. 113(C), pages 1586-1595.
    9. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 194-209.
    10. Arlan Brucal & Nori Tarui, 2018. "Revenue Decoupling for Electric Utilities: Impacts on Prices and Welfare," Working Papers 201814, University of Hawaii at Manoa, Department of Economics.

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