2016
DOI: 10.3389/fenrg.2016.00027
|View full text |Cite
|
Sign up to set email alerts
|

The Best (and Worst) of GHG Emission Trading Systems: Comparing the EU ETS with Its Followers

Abstract: The European Emission Trading System (EU ETS) is generally considered as the prototype system for the other Emission Trading Systems (ETSs) for the reduction of greenhouse gases (GHGs) that are rapidly spreading around the world. To get a deeper understanding on the actual capacity of the EU ETS to stand as a model for the other ETSs, the present paper discusses the differences and similarities of the EU ETS with respect to the other main ETSs and the emerging trends that these systems seem to share, comparing… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
15
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
4

Relationship

2
7

Authors

Journals

citations
Cited by 30 publications
(18 citation statements)
references
References 59 publications
(45 reference statements)
0
15
0
Order By: Relevance
“…In this respect, a large body of work by Chevallier and co-authors (see Chevallier, 2011 ;Zhu and Chevallier, 2017, for an overview) has investigated extensively drivers and structural changes in carbon prices, the informational efficiency of EU ETS, and cross-market linkages between emissions trading and energy markets (see Alberola et al, 2008 ;Zhu and Chevallier, 2017;Zhu et al, 2015a;2015b) . Complementarily, a large literature in mathematical finance (see e.g., Borovkov et al, 2011 ;Carmona and Hinz, 2011;Chevallier and Sévi, 2014 ;Howison and Schwarz, 2012) has proposed formal models of the dynamics of carbon prices as stochastic processes and derived therefrom pricing methodologies for carbon derivatives.…”
Section: Related Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…In this respect, a large body of work by Chevallier and co-authors (see Chevallier, 2011 ;Zhu and Chevallier, 2017, for an overview) has investigated extensively drivers and structural changes in carbon prices, the informational efficiency of EU ETS, and cross-market linkages between emissions trading and energy markets (see Alberola et al, 2008 ;Zhu and Chevallier, 2017;Zhu et al, 2015a;2015b) . Complementarily, a large literature in mathematical finance (see e.g., Borovkov et al, 2011 ;Carmona and Hinz, 2011;Chevallier and Sévi, 2014 ;Howison and Schwarz, 2012) has proposed formal models of the dynamics of carbon prices as stochastic processes and derived therefrom pricing methodologies for carbon derivatives.…”
Section: Related Literaturementioning
confidence: 99%
“…Therefore a set of empirical relationships between the structure of the trade network and the outcome/efficiency of the market is established. More specifically with regard to the latter, we track Borghesi and Montini, 2016 ;EEA, 2015) . the evolution of prices and bid-ask spreads.…”
Section: Introductionmentioning
confidence: 99%
“…With the completion of relevant agreements and the construction of ETS systems in the major economies of the world, the trading volume in 2020 is expected to approach 3.5 trillion. Following the "Kyoto Protocol" and the "United Nations Framework Convention on Climate Change," the European Union fully launched its ETS in 2005, which was the first ETS in the world and is the international ETS with the most successful operations and widest coverage [2]. New Zealand, South Korea, and other countries have launched mandatory nationwide domestic ETSs.…”
Section: Introductionmentioning
confidence: 99%
“…It covers more than 11,000 installations in 31 countries (all 28 EU members states plus Norway, Iceland, and Liechtenstein) and regulates nearly 45% of total EU GHGs, accounting for three quarters of international carbon trading [29]. Following the EU ETS, several other countries have adopted or are about to adopt similar instruments around the world (see [30] and [31] for an international comparison across existing ETSs).…”
Section: Introductionmentioning
confidence: 99%