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The effect of counter-trading on competition in electricity markets

handle: 1871/36813
In a competitive electricity market, nodal pricing is the most efficient way to manage congestion. Counter-trading is inefficient as it gives the wrong long term signals for entry and exit of power plants. However, in a non-competitive market, additional entry will improve the competitiveness of the market, and will increase social benefit by reducing price-cost margins. This paper studies whether the potential pro-competitive entry effects could make counter-trading more efficient than nodal pricing. We find that this is unlikely to be the case, and expect counter-trading to have a negative effect on overall welfare. The potential benefits of additional competition (more competitive prices and lower production cost) do not outweigh the distortions (additional investment cost for the entrant, and socialization of the congestion cost to final consumers). © 2011 Elsevier Ltd.
- Vrije Universiteit Amsterdam Netherlands
- Tilburg University Tilburg University Research Portal Netherlands
- Tilburg University Netherlands
- STICHTING KATHOLIEKE UNIVERSITEIT BRABANT UNIVERSITEIT VAN TILBURG Netherlands
- Free University of Amsterdam Pure VU Amsterdam Netherlands
Market power, Congestion management, SDG 17 - Partnerships for the Goals, Energy(all), Management, Monitoring, Policy and Law, Counter-trading
Market power, Congestion management, SDG 17 - Partnerships for the Goals, Energy(all), Management, Monitoring, Policy and Law, Counter-trading
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).44 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
