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The Role of Advance Notice in Shaping Industrial Response to Time-Varying Electricity Prices

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Listed:
  • Daiya Isogawa

    (Graduate School of Economics, Osaka Metropolitan University)

  • Hiroshi Ohashi

    (Faculty of Economics, The University of Tokyo)

  • Tokunari Anai

    (Tokyo Electric Power Company Holdings, Incorporated,)

Abstract

Time-varying electricity prices is pivotal for efficient electricity demand management, particularly when supply is inflexible. Utilities often issue advance notices during peak demand periods to alert users of imminent price hikes. However, the extent to which such notices influence demand response (DR) effectiveness has been understudied, either theoretically or empirically. This paper investigates the impact of advance notifications periods on industrial responses to fluctuating electricity prices. It posits that for users with a lower rate of inter-temporal elasticity of substitution, DR efficacy wanes as advanced warnings of peak prices lead to more homogenized consumption patterns over time. Empirical evidence from an industrial DR program in Japan substantiates this theory. Furthermore, the paper explores the economic rationale behind utilities’ decisions to issue advance notices, despite their potential to lessen DR impact.

Suggested Citation

  • Daiya Isogawa & Hiroshi Ohashi & Tokunari Anai, 2024. "The Role of Advance Notice in Shaping Industrial Response to Time-Varying Electricity Prices," CIRJE F-Series CIRJE-F-1226, CIRJE, Faculty of Economics, University of Tokyo.
    • Handle: RePEc:tky:fseres:2024cf1226
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    References listed on IDEAS

    as
    1. Koichiro Ito, 2015. "Asymmetric Incentives in Subsidies: Evidence from a Large-Scale Electricity Rebate Program," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 209-237, August.
    2. Richstein, Jörn C. & Hosseinioun, Seyed Saeed, 2020. "Industrial demand response: How network tariffs and regulation (do not) impact flexibility provision in electricity markets and reserves," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 278.
    3. Herriges, Joseph A, et al, 1993. "The Response of Industrial Customers to Electric Rates Based upon Dynamic Marginal Costs," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 446-454, August.
    4. Ahmad Faruqui & Sanem Sergici, 2011. "Dynamic pricing of electricity in the mid-Atlantic region: econometric results from the Baltimore gas and electric company experiment," Journal of Regulatory Economics, Springer, vol. 40(1), pages 82-109, August.
    5. Jörn C. Richstein & Seyed Saeed Hosseinioun, 2020. "Industrial Demand Response: How Network Tariffs and Regulation Do (Not) Impact Flexibility Provision in Electricity Markets and Reserves," Discussion Papers of DIW Berlin 1853, DIW Berlin, German Institute for Economic Research.
    6. Ahmad Faruqui, Sanem Sergici, and Lamine Akaba, 2014. "The Impact of Dynamic Pricing on Residential and Small Commercial and Industrial Usage: New Experimental Evidence from Connecticut," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    7. Richstein, Jörn C. & Hosseinioun, Seyed Saeed, 2020. "Industrial demand response: How network tariffs and regulation (do not) impact flexibility provision in electricity markets and reserves," Applied Energy, Elsevier, vol. 278(C).
    8. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2018. "Moral Suasion and Economic Incentives: Field Experimental Evidence from Energy Demand," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 240-267, February.
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