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Land Economics
Article
Data sources: UnpayWall
Land Economics
Article . 2004 . Peer-reviewed
Data sources: Crossref
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Estimating Leakage from Forest Carbon Sequestration Programs

Authors: Brian C. Murray; Bruce A. McCarl; Heng-Chi Lee;

Estimating Leakage from Forest Carbon Sequestration Programs

Abstract

L eakage from forest carbon seques- tion has been widely acclaimed as an optration— the amount of a program’s direct carbon tion for mitigating greenhouse gas emisbenefits undermined by carbon releases else- sions (GHGE). Land use change and where—depends critically on demanders’ability to forestry (LUCF) are seen asmitigation opsubstitute non-reserved timber for timber targeted tions with potentially low oppor tunity by the program. A nalytic, econometric, and sectorcosts and high level optimization models are combined to estimate ancillary benefits (see IPCC leakage from different forest carbon sequestration 2000; Bush 2002) . activities. Empirical estimates for the United States As policy proposals to mitigate climate show leakage ranges from minimal (, 10%) to change have evolved from the 1992 United enormous (. 90%), depending on the activity and Nations Earth Summit in Rio de Janiero, region. These results suggest that leakage effects it has become clear that, at least in the should not be ignored in accounting for the net short run, restrictions on the emission of level of greenhouse gas offsets from land use greenhouse gases (GHGs) would be conchange and forestry mitigation activities.

Related Organizations
Keywords

forestry; climate change mitigation; land use change, jel: jel:Q24, jel: jel:Q23

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    influence
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selected citations
These citations are derived from selected sources.
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!
193
Top 1%
Top 1%
Top 10%
bronze