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Effects of time-of-use pricing for residential customers and wholesale market consequences in South Korea

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  • Jang, Heesun
  • Moon, Seongman
  • Kim, Jihyo

Abstract

Using a large-scale pilot test on time-of-use (TOU) pricing for residential customers, this study analyzes the effects of TOU pricing on the load patterns of residential customers and on producer surplus in South Korea. We estimate the difference in the electricity demand functions of residential customers across peak, intermediate, and off-peak periods before and after TOU pricing. In addition, we assess the supply curve in the wholesale electricity market and calculate the changes in electricity purchase costs by integrating the supply curve over the range of consumption changes across the periods. This study simulates the effects of TOU pricing on producer surplus that would be obtained if all residential customers in South Korea switch from increasing block pricing to TOU pricing. Our results show that TOU pricing can be an effective measure for load transfer and simultaneously increase producer surplus. We find that although the revenue of electric utility generally decreases, the cost savings are greater and thus producer surplus increases. The results can be a valuable reference for the South Korean government regarding the nationwide expansion of TOU for residential electricity in the future.

Suggested Citation

  • Jang, Heesun & Moon, Seongman & Kim, Jihyo, 2024. "Effects of time-of-use pricing for residential customers and wholesale market consequences in South Korea," Energy Economics, Elsevier, vol. 134(C).
  • Handle: RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324002652
    DOI: 10.1016/j.eneco.2024.107557
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    1. Faruqui, Ahmad & Sergici, Sanem & Lessem, Neil & Mountain, Dean, 2015. "Impact measurement of tariff changes when experimentation is not an option—A case study of Ontario, Canada," Energy Economics, Elsevier, vol. 52(PA), pages 39-48.
    2. Olmstead, Sheila M., 2009. "Reduced-Form Versus Structural Models of Water Demand Under Nonlinear Prices," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 84-94.
    3. Heesun Jang, 2020. "Ownership, pricing, and productivity: the case of electric distribution cooperatives," Empirical Economics, Springer, vol. 59(2), pages 977-1001, August.
    4. Burns, Kelly & Mountain, Bruce, 2021. "Do households respond to Time-Of-Use tariffs? Evidence from Australia," Energy Economics, Elsevier, vol. 95(C).
    5. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    6. Hill, Lawrence J., 1991. "Residential time-of-use pricing as a load management strategy : Effectiveness and applicability," Utilities Policy, Elsevier, vol. 1(4), pages 308-318, July.
    7. Dennis Aigner, 1985. "The Residential Electricity Time-of-Use Pricing Experiments: What Have We Learned?," NBER Chapters, in: Social Experimentation, pages 11-54, National Bureau of Economic Research, Inc.
    8. Aigner, Dennis J & Ghali, Khalifa, 1989. "Self-Selection in the Residential Electricity Time-of-Use Pricing Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 131-144, Supplemen.
    9. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    10. Kathleen Spees & Lester Lave, 2008. "Impacts of Responsive Load in PJM: Load Shifting and Real Time Pricing," The Energy Journal, , vol. 29(2), pages 101-122, April.
    11. Kenneth Train & Gil Mehrez, 1994. "Optional Time-of-Use Prices for Electricity: Econometric Analysis of Surplus and Pareto Impacts," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 263-283, Summer.
    12. Kim, Jihyo & Lee, Soomin & Jang, Heesun, 2022. "Lessons from residential electricity demand analysis on the time of use pricing experiment in South Korea," Energy Economics, Elsevier, vol. 113(C).
    13. Song, Yong Hyun & Kim, Hyun Joong & Kim, Seung Wan & Jin, Young Gyu & Yoon, Yong Tae, 2018. "How to find a reasonable energy transition strategy in Korea?: Quantitative analysis based on power market simulation," Energy Policy, Elsevier, vol. 119(C), pages 396-409.
    14. Krishnamurthy, Chandra Kiran B. & Vesterberg, Mattias & Böök, Herman & Lindfors, Anders V. & Svento, Rauli, 2018. "Real-time pricing revisited: Demand flexibility in the presence of micro-generation," Energy Policy, Elsevier, vol. 123(C), pages 642-658.
    15. Mostafa Baladi, S. & Herriges, Joseph A. & Sweeney, Thomas J., 1998. "Residential response to voluntary time-of-use electricity rates," Resource and Energy Economics, Elsevier, vol. 20(3), pages 225-244, September.
    16. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
    17. 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).
    18. 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.
    19. John A. Nordin, 1976. "A Proposed Modification of Taylor's Demand Analysis: Comment," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 719-721, Autumn.
    20. Ahmad Faruqui & Sanem Sergici & Lamine Akaba, 2014. "The Impact of Dynamic Pricing on Residential and Small Commercial and Industrial Usage: New Experimental Evidence from Connecticut," The Energy Journal, , vol. 35(1), pages 137-160, January.
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    More about this item

    Keywords

    Time-of-use pricing; Residential electricity; Wholesale market; Load transfer; Producer surplus;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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