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Sectoral and regional expansion of emissions trading

Authors: Christoph Böhringer; Bouwe Dijkstra; Knut Einar Rosendahl;

Sectoral and regional expansion of emissions trading

Abstract

We consider an international emissions trading scheme with partial sectoral and regional coverage. Sectoral and regional expansion of the trading scheme is beneficial in aggregate, but not necessarily for individual countries. We simulate international CO2 emission quota markets using marginal abatement cost functions and the Copenhagen 2020 climate policy targets for selected countries that strategically allocate emissions in a bid to manipulate the quota price. Quota exporters and importers generally have conflicting interests about admitting more countries to the trading coalition, and our results indicate that some countries may lose substantially when the coalition expands in terms of new countries. For a given coalition, expanding sectoral coverage makes most countries better off, but some countries (notably the USA and Russia) may lose out due to loss of strategic advantages. In general, exporters tend to have stronger strategic power than importers.

Countries
United Kingdom, Norway, Norway
Keywords

Emissions Trading, Emissions Trading; Allocation of Quotas; Strategic Behavior, CO2 emissions, Q25, C72, JEL classification: C61, VDP::Mathematics and natural science: 400::Geosciences: 450, Allocation of quotas, VDP::Social science: 200::Economics: 210, ddc:330, Quota markets, Emissions trading, Utslippskvoter, C61, JEL classification: Q25, Strategic Behavior, JEL classification: C72, Allocation of Quotas, Kvotehandel, jel: jel:C61, jel: jel:Q25, jel: jel:C72

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    34
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
Green
bronze