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Economic and environmental consequences of market power in the South-East Europe regional electricity market

Višković, V; Chen, Y; Siddiqui, AS; Tanaka, M; (2021) Economic and environmental consequences of market power in the South-East Europe regional electricity market. Energy Journal , 42 (6) pp. 121-146. 10.5547/01956574.42.6.VVIS. Green open access

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Abstract

Market power in electricity and emission-permit markets in the South-East Europe Regional Electricity Market, which comprises both EU members subject to the EU Emissions Trading System (ETS) and non-EU members exempt from it, affects social welfare and carbon leakage. We examine its impact under three market settings: perfect competition (PC) and two leader-follower versions, in which a leader can exert market power in either the electricity market (S-T) or both the electricity and permit markets (S). Under PC, carbon leakage is equal to 11%-39% of ETS emission reduction depending on the cap stringency. Generally, in S-T, the leader's capacity withholding results in ETS emissions below and non-ETS emissions above PC levels. However, carbon leakage is lower vis-à-vis PC as the ETS emission reduction offsets the non-ETS emission increase. Finally, in S, the leader's propensity to lower the permit price increases ETS emissions and exacerbates carbon leakage compared to S-T.

Type: Article
Title: Economic and environmental consequences of market power in the South-East Europe regional electricity market
Open access status: An open access version is available from UCL Discovery
DOI: 10.5547/01956574.42.6.VVIS
Publisher version: https://doi.org/10.5547/01956574.42.6.VVIS
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10127074
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