Article published in Volume 39, Special Issue 2 of The Quarterly Journal of the IAEE’s Energy Economics Education Foundation.
This article empirically investigates the impact of renewable production on congestion using a unique database on the Italian Power Market, where zonal pricing is implemented. We estimate two econometric models: a multinomial logit model, to assess whether renewables increase the occurrence of congestion, and a two stage least squares (2SLS) model to evaluate the impact of wind and photovoltaics on congestion costs. Our analysis suggests that larger renewable supply in importing regions decreases the probability of congestion compared to the no congestion case, while the reverse occurs when renewable production is located in an exporting region. The 2SLS estimations reveal that the same mechanisms explain the level of congestion costs. Our results also highlight that the magnitude of the congestion effects, both in terms of probability and costs, is very sensitive to the location of the historical efficient production, mainly hydro power, and to the geographical configuration of the transmission network.
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Understanding the mechanisms of deforestation is necessary in order to slow or arrest its progress. To accomplish this requires rigorously estimating the demand for deforestation. We contribute to this endeavor by estimating the effect of crop prices on the demand for conversion of land from forest to agriculture in the tropics during the 21st...
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