2013
DOI: 10.1016/j.eneco.2011.12.007
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Free EUAs and fuel switching

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Cited by 11 publications
(12 citation statements)
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“…For example, Li et al (2011) used fuzzy modelling (an interval-fuzzy two stage stochastic programming model) for planning CO 2 emission trading in industry systems under uncertainty, Conrad et al (2012) used GARCH models for modelling the adjustment process of EUA's prices to scheduled macroeconomic and regulatory announcements. Aatola et al (2013) created an equilibrium model of the emission trading market for the purposes of the EU ETS price determination, Falbo et al (2013) created model based on the profi t function for …”
Section: Literature Overviewmentioning
confidence: 99%
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“…For example, Li et al (2011) used fuzzy modelling (an interval-fuzzy two stage stochastic programming model) for planning CO 2 emission trading in industry systems under uncertainty, Conrad et al (2012) used GARCH models for modelling the adjustment process of EUA's prices to scheduled macroeconomic and regulatory announcements. Aatola et al (2013) created an equilibrium model of the emission trading market for the purposes of the EU ETS price determination, Falbo et al (2013) created model based on the profi t function for …”
Section: Literature Overviewmentioning
confidence: 99%
“…Since the EU emission allowances were previously grandfathered 1 (Wettestad et al, 2012), from year 2013 the signifi cant yield of the emission allowances is auctioned. Grandfathering was widely criticized, mostly because it introduced signifi cant distortions to the EU ETS (Falbo et al, 2013). Auctioning is the most transparent method of allocating 1 Grandfathering = for free allowances and puts into practice the polluter pays principle (European Commission, 2013).…”
Section: Introduction Emission Allowances Trading Backgroundmentioning
confidence: 99%
“…Iron and steel production Cement and lime production Glas and glas fibres production Ceramic production energy intensive companies and power sector (Lund, 2007;Chernyavska and Gulli, 2008), the influence of emission allowance trading on electricity producers (Lund, 2007;Chernyavska and Gulli, 2008;Falbo et al, 2013) or its innovation impact (Rogge et al, 2011;Rentizelas et al, 2012). The authors of scientific papers have used various methods for their research connected with the EU ETS.…”
Section: Combustion Processesmentioning
confidence: 99%
“…For example, Li et al (2011) used fuzzy modelling (an interval-fuzzy two stage stochastic programming model) for planning CO 2 emission trading in industry systems under uncertainty, Conrad et al (2012) used GARCH models for modelling the adjustment process of EUA´s prices to scheduled macroeconomic and regulatory announcements. Aatola et al (2013) created an equilibrium model of the emission trading market for the purposes of the EU ETS price determination, Falbo et al (2013) created model based on the profit function for tracking of impacts of EUAs on the optimal policy of a competitive electricity producer. Garcia -Martos et al (2013) used both ARIMA and VARIMA models for building a multivariate model for the afore mentioned prices and comparing its results with those of univariate ones, Lecuyer and Quirion (2013) created analytical and numerical model of the EU energy and carbon market for implications of the possibility of a nil carbon price on optimal policy instrument choice.…”
Section: Combustion Processesmentioning
confidence: 99%
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