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Measuring inefficiency in international electricity trading

Author

Listed:
  • L.G. Montoya

    (UCL)

  • Bowei Guo

    (Faculty of Economics, University of Cambridge)

  • David Newbery

    (Faculty of Economics, University of Cambridge)

  • P.E. Dodds

    (UCL)

  • G Lipman

    (UCL)

Abstract

Interconnectors reduce the cost of electricity supply if they are operated efficiently. We show that established metrics used to monitor electricity trading inefficiency become increasingly inaccurate in several trading conditions. We devise the Unweighted and Price-Weighted Inefficient Interconnector Utilisation indices to address these deficiencies. These metrics are substantially more accurate than existing ones and perform equally well whether or not markets are coupled. Our results show a substantial decrease in inefficient trading between Great Britain and both France and the Netherlands after the European Union’s market coupling regulations were introduced in 2014. In view of Great Britain’s likely withdrawal from the European Union, the paper also evaluates how market uncoupling would affect cross-border trade. We find that uncoupling would lead to inefficiencies in trade, the electricity price differential between GB and France (Netherlands) rising by 3% (2%), net imports into GB decreasing by 26% (13%), congestion income decreasing by 10% (5%), and infra-marginal surplus decreasing by 1.6% (1.6%) of coupled congestion income. We also show that, should the EU decide to implement an equivalent carbon tax to GB’s Carbon Price Floor, uncoupling impacts would be slightly magnified due to electricity prices converging (by about 1% of coupled congestion income).
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • L.G. Montoya & Bowei Guo & David Newbery & P.E. Dodds & G Lipman, 2019. "Measuring inefficiency in international electricity trading," Working Papers EPRG1932, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  • Handle: RePEc:enp:wpaper:eprg1932
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    Cited by:

    1. is not listed on IDEAS
    2. Li Liu & Tingting Gu & Hao Wang, 2022. "The Coupling Coordination between Digital Economy and Industrial Green High-Quality Development: Spatio-Temporal Characteristics, Differences and Convergence," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    3. Hu, Bo & Zhou, P., 2022. "Can the renewable power consumption guarantee mechanism help activate China's power trading market?," Energy, Elsevier, vol. 253(C).
    4. Guo, Bowei & Newbery, David, 2021. "The cost of uncoupling GB interconnectors," Energy Policy, Elsevier, vol. 158(C).

    More about this item

    Keywords

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F15 - International Economics - - Trade - - - Economic Integration
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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