2016
DOI: 10.1007/s12667-016-0219-3
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Carbon taxation and feed-in tariffs: evaluating the effect of network and market properties on policy effectiveness

Abstract: This paper evaluates how the effect of introducing a carbon emission tax and/or feed-in tariffs on capacity expansion decisions of generating companies varies depending on the number and size of competing firms and technical conditions of the network. To do so, it uses a Nash–Cournot model of the electricity market. This model is then applied to the IEEE 6-bus network. We study three cases: one with only a carbon tax consistent with current carbon prices; one with only a feed-in tariff consistent with current … Show more

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Cited by 5 publications
(1 citation statement)
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“…(Brøndbo et al, 2020) presents an imperfectly competitive electricity market model with a real options approach as a means of expanding generation capacity, with strategically acting producers, various technologies, and long-term demand uncertainty. (Oderinwale & Weijde, 2017) used the equilibrium model to analyze strategic capacity expansion decisions under carbon emission tax and/or feed-in tariffs. In two related articles, (Ehrenmann & Smeers, 2010, 2011 introduce stochasticity and scarcity pricing to evaluate investment decisions under various market designs (including energy-only scheme).…”
Section: Energy-only Marketsmentioning
confidence: 99%
“…(Brøndbo et al, 2020) presents an imperfectly competitive electricity market model with a real options approach as a means of expanding generation capacity, with strategically acting producers, various technologies, and long-term demand uncertainty. (Oderinwale & Weijde, 2017) used the equilibrium model to analyze strategic capacity expansion decisions under carbon emission tax and/or feed-in tariffs. In two related articles, (Ehrenmann & Smeers, 2010, 2011 introduce stochasticity and scarcity pricing to evaluate investment decisions under various market designs (including energy-only scheme).…”
Section: Energy-only Marketsmentioning
confidence: 99%