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Time-of-Use Electricity Pricing and Residential Low-carbon Energy Technology Adoption

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  • Jing Liang, Pengfei Liu, Yueming Qiu, Yi David Wang, and Bo Xing

Abstract

This paper provides the first empirical evidence on the correlation between Time-Of-Use (TOU) electricity pricing and the adoption of energy efficient appliances and solar panels. We use household-level data in Phoenix, Arizona from an appliance saturation survey of about 16,000 customers conducted by a major electric utility. Our empirical results show that TOU consumers are associated with 27% higher likelihood to install solar panels but not more likely to adopt energy-efficient air conditioning based on the propensity score matching and coarsened exact matching methods. The findings highlight that policy makers could combine TOU and solar panels when implementing educational programs or when giving out financial incentives to consumers. Our results imply that TOU is associated with a similar impact of the incentive offered by $2,070~$10,472 tax credits or rebates on solar adoption.

Suggested Citation

  • Jing Liang, Pengfei Liu, Yueming Qiu, Yi David Wang, and Bo Xing, 2020. "Time-of-Use Electricity Pricing and Residential Low-carbon Energy Technology Adoption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-38.
    • Handle: RePEc:aen:journl:ej41-3-qiu
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    Cited by:

    1. Sun, Bixuan & Sankar, Ashwini, 2022. "The changing effectiveness of financial incentives: Theory and evidence from residential solar rebate programs in California," Energy Policy, Elsevier, vol. 162(C).
    2. Liang, Jing & Qiu, Yueming (Lucy) & Xing, Bo, 2022. "Impacts of the co-adoption of electric vehicles and solar panel systems: Empirical evidence of changes in electricity demand and consumer behaviors from household smart meter data," Energy Economics, Elsevier, vol. 112(C).
    3. Lu-Miao Li, Peng Zhou, and Wen Wen, 2023. "Distributed Renewable Energy Investment: The Effect of Time-of-Use Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    4. Bejan, Ioana & Jensen, Carsten Lynge & Andersen, Laura M. & Hansen, Lars Gårn, 2021. "Inducing flexibility of household electricity demand: The overlooked costs of reacting to dynamic incentives," Applied Energy, Elsevier, vol. 284(C).
    5. Minseok Jang & Hyun Cheol Jeong & Taegon Kim & Dong Hee Suh & Sung-Kwan Joo, 2021. "Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape," Energies, MDPI, vol. 14(22), pages 1-15, November.
    6. Salim Turdaliev, 2021. "Increasing Block Rate Electricity Pricing and Propensity to Purchase Electrical Appliances: Evidence from a Natural Experiment in Russia," Energies, MDPI, vol. 14(21), pages 1-20, October.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

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