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dc.contributor.authorOSORIO, Sebastian
dc.contributor.authorRAUDE, Marie
dc.contributor.authorFERRARI, Albert
dc.contributor.authorHEINRICH, Lea
dc.contributor.authorBORGHESI, Simone
dc.date.accessioned2024-02-02T11:15:07Z
dc.date.available2024-02-02T11:15:07Z
dc.date.issued2023
dc.identifier.issn2467-4540
dc.identifier.urihttps://hdl.handle.net/1814/76436
dc.description.abstract- This policy brief synthesises the results from the first annual workshop on ex-ante assessment of emissions trading. It focuses on models assessing the schemes in the EU, UK, China, California, and Québec. - At a time when emissions trading systems (ETSs) are increasing in number and face similar issues, only a few comparisons of ex-ante models exist. - The models show considerable heterogeneity. The differences stem from the specific aim, design, scope, ambition and maturity of each market modelled. - Regarding modelling assumptions, there is an overall reliance of models on Marginal Abatement Cost Curves (MACCs) and a strong impact of parameters such as the discount rate on the assessments. - In terms of predicted prices, an overall increasing trend is observed across jurisdictions, with predicted prices of non-EU ETSs remaining at a lower level than EU prices. This divergence is due to uncertainty regarding abatement costs, scope, maturity, and overlapping policies. - There is a growing interest in capturing market imperfections and investor behaviour. Evaluation of carbon leakage, which still requires extensive modelling work, is also identified as relevant future model extensions. - There is a need for discussion on model comparison to include industry feedback, share experiences and improve the robustness of modelling assumptions. - Closing the loop between the policy process and modelling work is necessary to enhance the predictability of carbon markets and to showcase the consequences of different policy and design choices. Models may also be useful to attribute certain effects to either ETS policies or other policies. This can ultimately improve our understanding of carbon markets in an increasingly dynamic policy landscape.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherEuropean University Instituteen
dc.relation.ispartofseriesEUIen
dc.relation.ispartofseriesRSCen
dc.relation.ispartofseriesPolicy Briefen
dc.relation.ispartofseries2023/24en
dc.relation.ispartofseriesFlorence School of Regulationen
dc.relation.ispartofseriesLIFE COASE – Collaborative Observatory for ASsessment of the EU ETSen
dc.relation.ispartofseries[Climate]en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectEx-ante modelsen
dc.subjectEU Emissions Trading Systemen
dc.subjectEconomic modelsen
dc.subjectForesighten
dc.subjectScience-based policy makingen
dc.subjectLIFE COASEen
dc.titleComparison of ex-ante modelling assessments of emissions trading - 2023en
dc.typeOtheren
eui.subscribe.skiptrue
dc.rights.licenseAttribution 4.0 Internationalen


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