On the Impact of CO2 Emission-Trading on Power Generation Emissions
By É. Chappin, Gerard P. J. Dijkema. 2009
127 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/af52cca9304343262c09877a0f1390f862b23bd2
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Citations in the corpus
- A review of agent‐based modeling of climate‐energy policy (2020, background): “…(Kraan et al., 2018; Richstein et al., 2015; Zhu et al., 2018), different pricing rules due to specific mark-ups or local monopolies (Wu et al., 2018), or even dissimilar R&D investment strategies (Chappin & Dijkema, 2009; D'Orazio & Valente, 2018; Isley et al., 2015; Lamperti et al., 2018).”
- Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options (2010, background): “Potential impact of carbon emissions trading on China’s power sector:”
- An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect (2010, background): “For instance, to answer the central question ‘‘what long-term impact of CO2 emissions trading on CO2 emissions can be expected in power generation?” Chappin and Dijkema [36] carried out an agent-based simulation study on the power generation sectors in the Netherlands and Germany.”
- Carbon emissions trading scheme exploration in China: A multi-agent-based model (2015, methodology): “For example, in the study of Chappin and Dijkema (2009) and Sichao et al. (2010), only the power sector was considered in the CET analysis; in Anger (2010), the aviation industry; and in Deja et al. (2010) and Szabó et al. (2006), the cement industry.”
- CO2 emissions from China's power sector at the provincial level:Consumption versus production perspectives (2013, unknown): “When the European ETS was established in 2005, it reduced trading to mainly thermal power plants of the power sector (over 20 MW) in its first period [45,46].”
- Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises? (2019, methodology): “For instance, Chappin and Dijkema (2009) employ an agent‐based model to investigate the effect of CET on the decisions of power companies in an oligopolistic market and find that the economic effect of CET is not sufficient to outweigh the economic incentives to choose for coal.”