Carbon Price Analysis Using Empirical Mode Decomposition
By Bangzhu Zhu, Ping Wang, Julien Chevallier, Yi-Ming Wei. 2015
135 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/334c6c1f66f25a1b1fc8d2d46407127472d021d0
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In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Tackling Climate Change with Machine Learning (2019, methodology): “[775] Bangzhu Zhu, Ping Wang, Julien Chevallier, and Yiming Wei.”
- Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach (2015, background): “As an effective energy policy for carbon mitigation, the carbon market is otherwise driven by various energy policies, and policy changes (such as that when the EU ETS stepped from phase II to phase III) may be the major factors with mediumtermeffects (Yu et al., 2015; Zhu et al., 2015) for carbonma”
- Research on carbon market price mechanism and influencing factors: a literature review (2018, background): “Secondly, carbon price will be influenced by the balance between supply and demand of carbon permits in the ETS (Springer 2003; Benz and Trück 2009; Cong 2010; Chang 2015; Fahimnia et al. 2013; Zhu et al. 2015).”