The Design of Climate Policy 2008
DOI: 10.7551/mitpress/9780262073028.003.0016
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Leakage from Climate Policies and Border-Tax Adjustment: Lessons from a Geographic Model of the Cement Industry

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Cited by 45 publications
(42 citation statements)
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“…In a state θ, the welfare is the dierence between gross consumer surplus and production cost and environmental damage: (8) and, the expected welfare is…”
Section: General Casementioning
confidence: 99%
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“…In a state θ, the welfare is the dierence between gross consumer surplus and production cost and environmental damage: (8) and, the expected welfare is…”
Section: General Casementioning
confidence: 99%
“…10%. 7 We abstract from the possible impact from the EU-ETS during those years, given the high level of free allowances and industry behavior based on average rather than marginal carbon price (Ellerman et al 2010) 8 In this context, labor costs cannot be considered as variable costs since specic qualications are required to operate a clinker plant. Hence rms cannot simply re workers when demand is low and hire them again when demand recovers.…”
mentioning
confidence: 99%
“…Ismer and Neuhoff 2007). Demailly and Quirion (2008a) also simulate a carbon tax in Annex I, with and without border adjustments, but this time in a global partial equilibrium model of the cement industry. Here again, BAs efficiently tackle leakage: the leakage-to-reduction ratio falls from 25% without BA to -2% or 4%, depending on the level of the border adjustment assumed.…”
Section: Border Adjustmentsmentioning
confidence: 99%
“…Demailly and Quirion (2006) use a modified version of the world partial equilibrium model of the cement industry which was used by the same authors (Demailly and Quirion, 2008a) to assess a BA. They compare full auctioning to OBA for a unilateral implementation of the EU ETS and show that OBA would efficiently tackle leakage: at €20/tCO2, the leakage-to-reduction ratio would fall from 50% 8 to 9%.…”
Section: Output-based Allocationmentioning
confidence: 99%
“…These factual observations have been embedded in some applied numerical studies. For instance Demailly and Quirion (2008) The electricity sector provides another empirical context in which our framework may be relevant. It is a clear example in which demand is uncertain and short term capacity constraints play a major role in the selection of the optimal technology mix.…”
mentioning
confidence: 99%