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Risk preference and adverse selection for participation in time-of-use electricity pricing programs

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  • Qiu, Yueming
  • Colson, Gregory
  • Wetzstein, Michael E.

Abstract

Time-invariant electricity pricing does not reflect daily variation in the cost of producing electricity and thus can cause economic inefficiency. Time-of-use pricing (TOU), which has higher electricity prices during peak hours and lower prices during non-peak hours, is a pricing scheme that can help achieve more efficient levels of electricity consumption. This study examines factors influencing consumers’ participation in voluntary TOU programs with particular attention to individual-specific risk and time preferences elicited through multiple price-list experiments. Evidence from a study of 398 homeowners in Arizona and California, U.S., indicates that more risk averse consumers are less likely to enroll in TOU programs. The results suggest evidence of adverse selection, with households who consume less energy during peak hours being more likely to enroll in TOU programs. Time preferences are found to have a statistically significant and negative impact on consumers’ adoption of programmable thermostats, a technology that can allow households to better respond to TOU pricing. However, we find no evidence that consumers’ decisions to enroll in TOU programs and adopt programmable thermostats are correlated. Our results have important implications for policymakers and utility companies, which attempt to increase participation in voluntary TOU programs.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:resene:v:47:y:2017:i:c:p:126-142
    DOI: 10.1016/j.reseneeco.2016.12.003
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    2. Andreas Ziegler, 2020. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," MAGKS Papers on Economics 202020, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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    6. Ambec, Stefan & Crampes, Claude, 2021. "Real-time electricity pricing to balance green energy intermittency," Energy Economics, Elsevier, vol. 94(C).
    7. Lang, Corey & Qiu, Yueming (Lucy) & Dong, Luran, 2023. "Increasing voluntary enrollment in time-of-use electricity rates: Findings from a survey experiment," Energy Policy, Elsevier, vol. 173(C).
    8. Gianluca Trotta & Kirsten Gram-Hanssen & Pernille Lykke Jørgensen, 2020. "Heterogeneity of Electricity Consumption Patterns in Vulnerable Households," Energies, MDPI, vol. 13(18), pages 1-17, September.
    9. Ziegler, Andreas, 2021. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    10. Andreas Ziegler, 2018. "Heterogeneous preferences and the individual change to alternative electricity contracts," MAGKS Papers on Economics 201827, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Seyed Vahid Vakili & Fabio Ballini & Dimitrios Dalaklis & Aykut I. Ölçer, 2022. "A Conceptual Transdisciplinary Framework to Overcome Energy Efficiency Barriers in Ship Operation Cycles to Meet IMO’s Initial Green House Gas Strategy Goals: Case Study for an Iranian Shipping Compan," Energies, MDPI, vol. 15(6), pages 1-25, March.
    12. Chen, Yue & Wei, Wei & Liu, Feng & Shafie-khah, Miadreza & Mei, Shengwei & Catalão, João P.S., 2018. "Optimal contracts of energy mix in a retail market under asymmetric information," Energy, Elsevier, vol. 165(PB), pages 634-650.
    13. Natalia Aizenberg & Nikolai Voropai, 2021. "The Optimal Mechanism Design of Retail Prices in the Electricity Market for Several Types of Consumers," Mathematics, MDPI, vol. 9(10), pages 1-25, May.
    14. Ziegler, Andreas, 2020. "Heterogeneous preferences and the individual change to alternative electricity contracts," Energy Economics, Elsevier, vol. 91(C).
    15. Ziegler, Andreas, 2019. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203562, Verein für Socialpolitik / German Economic Association.
    16. Ruokamo, Enni & Kopsakangas-Savolainen, Maria & Meriläinen, Teemu & Svento, Rauli, 2019. "Towards flexible energy demand – Preferences for dynamic contracts, services and emissions reductions," Energy Economics, Elsevier, vol. 84(C).
    17. Cl'emence Alasseur & Ivar Ekeland & Romuald Elie & Nicol'as Hern'andez Santib'a~nez & Dylan Possamai, 2017. "An adverse selection approach to power pricing," Papers 1706.01934, arXiv.org, revised Sep 2019.
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    More about this item

    Keywords

    Adverse selection; Programmable thermostat; Risk preferences; Time-of-use electricity pricing;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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