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The Effects of Dynamic Pricing of Electric Power on Consumer Behavior: A Propensity Score Analysis for Empirical Study on Nushima Island, Japan

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  • Thanh Tam Ho

    (Graduate School of Economics, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan)

  • Sarana Shinkuma

    (Faculty of Economics, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan)

  • Koji Shimada

    (Faculty of Economics, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan)

Abstract

This study aimed to investigate the change of consumer behavior in electric power consumption after the application of dynamic pricing via real-time feedback. Afield experiment of dynamic pricing was carried out on Nushima Island, which is located in Hyogo Prefecture in central Japan. The panel data of hourly electric power consumption among 50 households (including 22 control households and 28 treated households) were collected from a baseline survey (14 days before the dynamic pricing experiment was conducted) and during the 14-day experimental period. Propensity score analysis with local linear matching was employed to analyze the average treatment effects of dynamic pricing on consumer behavior. The results report that dynamic pricing plays a crucial role in reducing consumers’ electric power consumption—by 9.6% compared to the pre-experimental period.

Suggested Citation

  • Thanh Tam Ho & Sarana Shinkuma & Koji Shimada, 2018. "The Effects of Dynamic Pricing of Electric Power on Consumer Behavior: A Propensity Score Analysis for Empirical Study on Nushima Island, Japan," Energies, MDPI, vol. 11(8), pages 1-22, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2175-:d:164730
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    References listed on IDEAS

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    6. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
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    Cited by:

    1. Hye Yoon Song & Gyu Sub Lee & Yong Tae Yoon, 2019. "Optimal Operation of Critical Peak Pricing for an Energy Retailer Considering Balancing Costs," Energies, MDPI, vol. 12(24), pages 1-20, December.
    2. Brown, Marilyn A. & Chapman, Oliver, 2021. "The size, causes, and equity implications of the demand-response gap," Energy Policy, Elsevier, vol. 158(C).

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