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Getting more 'carbon bang' for your 'buck' in Acre State, Brazil

Charles Palmer, Luca Taschini and Timothy Laing

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Acre State in Brazil is at the forefront of efforts to institutionalize jurisdictional-scale policies that aim to reduce emissions from deforestation and forest degradation (REDD+). Given limited REDD+ funds and uncertain returns from alternative land uses, this paper estimates the minimum incentive payment Acre’s government would have to pay forest landowners in each of its 22 municipalities to ensure forest conservation. Despite lower profits but with lower conversion costs and more stable returns over time relative to corn and coffee production, cattle pasture generates the highest returns in 19 municipalities. Municipalities are ranked according to their relative policy costs, a ranking which is compared to the distribution of forest carbon stocks across Acre. Finally, the relative cost per tonne of carbon is derived, which enables the identification of a group of 13 municipalities with the greatest potential for ‘carbon bang’ for a given ‘buck’.

Keywords: Acre; cost-effectiveness; forest conservation; option value; payments for environmental services; reducing emissions from deforestation and degradation (REDD+); uncertainty (search for similar items in EconPapers)
JEL-codes: N0 (search for similar items in EconPapers)
Date: 2017-12-01
New Economics Papers: this item is included in nep-agr, nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
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Published in Ecological Economics, 1, December, 2017, 142, pp. 214-227. ISSN: 0921-8009

Downloads: (external link)
http://eprints.lse.ac.uk/81915/ Open access version. (application/pdf)

Related works:
Journal Article: Getting more ‘carbon bang’ for your ‘buck’ in Acre State, Brazil (2017) Downloads
Working Paper: Getting more ‘carbon bang’ for your ‘buck’ in Acre State, Brazil (2016) Downloads
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