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Market power in Norwegian electricity market: Are the transmission bottlenecks truly exogenous?

Faisal Mehmood Mirza, Olvar Bergland

Year: 2015
Volume: Volume 36
Number: Number 4
DOI: 10.5547/01956574.36.4.fmir
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In this paper, we test whether producers in the southern Norway price zone utilize information on available transmission capacity to induce transmission congestion in their price zone to exercise market power or not. Endogeneity results for import congestion suggest that congestion is endogenous during late night and morning hours implying that producers in southern Norway restrict their output to induce transmission congestion into their price zone. We find an average markup of about 19.5 percent above the marginal cost during these hours. These results point that NordPool's policy of making transmission capacity information public to ensure market transparency is not welfare maximizing as strategic producers can use this information to anticipate and induce transmission congestion into their price zone for driving prices away from the competitive levels.

Market Power and Transmission Congestion in the Italian Electricity Market

Simona Bigerna, Carlo Andrea Bollino and Paolo Polinori

Year: 2016
Volume: Volume 37
Number: Number 2
DOI: 10.5547/01956574.37.2.sbig
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Analysis of market power in electricity markets is relevant for understanding the competitive development of the industry's restructuring and liberalization process, but in the existing literature, there is not an adequate consideration of line transmission congestion. The aim of this paper is to propose a new approach to measuring market power in the Italian Power Exchange (IPEX), explicitly considering transmission line congestion. We construct a new measure of the residual demand curve to disentangle unilateral market power from congestion rent for the main Italian generators during the period April 2004 to December 2007. In Italy, this period was one of stable transmission network structure. Following the approach of Wolak (2003, 2009), we measure the unilateral market power with the Lerner index (LI), computed as the inverse of the residual demand elasticity. In conclusion, the correct modeling of the residual demand curve including transmission congestions enables us to compute the zonal LI and therefore more accurately measure the market power when congestion occurs. Our results show that various generators exercise market power only in specific zones. These findings provide deeper understanding of market outcomes in the presence of congestion, suggesting appropriate policy directions for market surveillance and competition regulation.

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