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On fair, effective and efficient REDD mechanism design

Overview of attention for article published in Carbon Balance and Management, November 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
134 Mendeley
citeulike
2 CiteULike
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Title
On fair, effective and efficient REDD mechanism design
Published in
Carbon Balance and Management, November 2009
DOI 10.1186/1750-0680-4-11
Pubmed ID
Authors

Michael Obersteiner, Michael Huettner, Florian Kraxner, Ian McCallum, Kentaro Aoki, Hannes Böttcher, Steffen Fritz, Mykola Gusti, Petr Havlik, Georg Kindermann, Ewald Rametsteiner, Belinda Reyers

Abstract

The issues surrounding 'Reduced Emissions from Deforestation and Forest Degradation' (REDD) have become a major component of continuing negotiations under the United Nations Framework Convention on Climate Change (UNFCCC). This paper aims to address two key requirements of any potential REDD mechanism: first, the generation of measurable, reportable and verifiable (MRV) REDD credits; and secondly, the sustainable and efficient provision of emission reductions under a robust financing regime.To ensure the supply of MRV credits, we advocate the establishment of an 'International Emission Reference Scenario Coordination Centre' (IERSCC). The IERSCC would act as a global clearing house for harmonized data to be used in implementing reference level methodologies. It would be tasked with the collection, reporting and subsequent processing of earth observation, deforestation- and degradation driver information in a globally consistent manner. The IERSCC would also assist, coordinate and supervise the computation of national reference scenarios according to rules negotiated under the UNFCCC. To overcome the threats of "market flooding" on the one hand and insufficient economic incentives for REDD on the other hand, we suggest an 'International Investment Reserve' (IIR) as REDD financing framework. In order to distribute the resources of the IIR we propose adopting an auctioning mechanism. Auctioning not only reveals the true emission reduction costs, but might also allow for incentivizing the protection of biodiversity and socio-economic values. The introduced concepts will be vital to ensure robustness, environmental integrity and economic efficiency of the future REDD mechanism.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
Portugal 1 <1%
Italy 1 <1%
Bolivia, Plurinational State of 1 <1%
United Kingdom 1 <1%
Philippines 1 <1%
Unknown 125 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 29%
Student > Ph. D. Student 29 22%
Student > Master 16 12%
Other 8 6%
Student > Bachelor 8 6%
Other 21 16%
Unknown 13 10%
Readers by discipline Count As %
Environmental Science 58 43%
Agricultural and Biological Sciences 16 12%
Earth and Planetary Sciences 14 10%
Social Sciences 13 10%
Economics, Econometrics and Finance 8 6%
Other 11 8%
Unknown 14 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 December 2010.
All research outputs
#6,760,258
of 25,393,071 outputs
Outputs from Carbon Balance and Management
#100
of 220 outputs
Outputs of similar age
#41,210
of 177,871 outputs
Outputs of similar age from Carbon Balance and Management
#2
of 2 outputs
Altmetric has tracked 25,393,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 177,871 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.