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SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
Climate Change Economics
Article . 2012 . Peer-reviewed
Data sources: Crossref
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Cooperation to Reduce Developing Country Emissions

Authors: SUZI KERR; ADAM MILLARD-BALL;

Cooperation to Reduce Developing Country Emissions

Abstract

Without effective developing country (DC) participation in climate mitigation, it will be impossible to meet global concentration and climate change targets. However, DCS are unwilling and, in many cases, unable to bear the mitigation cost alone. They need huge transfers of resources — financial, knowledge, technology and capability — from industrialized countries (ICs). In this paper, we evaluate instruments that can induce such resource transfers, including tradable credits, mitigation funds and results-based agreements. We identify key constraints that affect the efficiency and political potential of different instruments, including two-sided private information leading to adverse selection; moral hazard and challenging negotiations; incomplete contracts leading to under-investment; and high levels of uncertainty about emissions paths and mitigation potential. We consider evidence on the poor performance of current approaches to funding DC mitigation — primarily purchasing offsets through the Clean Development Mechanism — and explore to what extent other approaches can address problems with offsets. We emphasize the wide spectrum of situations in DCS and suggest that solutions also need to be differentiated and that no one policy will suffice: some policies will be complements, while others are substitutes. We conclude by identifying research needs and proposing a straw man to broaden the range of "contracting" options considered.

Keywords

Climate policy, carbon offsets, results-based agreements, adverse selection, Clean Development Mechanism, REDD

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    selected citations
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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).
    23
    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.
    Average
    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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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!
23
Average
Top 10%
Top 10%
bronze