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Kyoto, Efficiency, and Cost-Effectiveness: Applications of FUND

Authors: Richard S.J. Tol;
Abstract
In this paper various emission reduction scenarios are evaluated with FUND - the Climate Framework for Uncertainty, Negotiation, and Distribution model. The aim is to help international negotiators improve upon the Kyoto Protocol. International cooperation in greenhouse gas emission reduction is important, and the more of it the better. The emission reduction targets as agreed in the Kyoto Protocol are irreconcilable with economic rationality. If the targets nevertheless need to be met, it is better to start emission reduction sooner than later in order to minimise costs. Methane emission reduction may be an important instrument to reduce costs. Copyright © 1999 by the IAEE. All rights reserved.
Related Organizations
- Carnegie Mellon University United States
- Vrije Universiteit Amsterdam Netherlands
Keywords
jel: jel:F0
jel: jel:F0
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).41 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
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
41
Top 10%
Top 10%
Top 10%