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Reducing Indonesia’s Deforestation‐Based Greenhouse Gas Emissions


Peter G. Warr


Australian National University (ANU) - Crawford School of Economics and Government

Arief Anshory Yusuf


affiliation not provided to SSRN

July 2011

Australian Journal of Agricultural and Resource Economics, Vol. 55, Issue 3, pp. 297-321, 2011

Abstract:     
Indonesia has set the target that by the year 2020 its emissions of greenhouse gases will be reduced by 26 per cent relative to business‐as‐usual conditions. This article analyses the effectiveness of a subsidy to the use of land in forestry as a means of achieving this goal. The analysis uses a general equilibrium model of the Indonesian economy characterised by explicit treatment of land use, disaggregated by industry and by region. The results of the analysis indicate that the subsidy cost of permanently reducing carbon emissions by 26 per cent is a little over US$1 per metric tonne of carbon emissions abated. This cost needs to be compared with that of alternative instruments and with the price of carbon that might be agreed under the proposed Reducing Emissions through Deforestation and Land Degradation (REDD) scheme, to be administered through the World Bank and the United Nations.

Number of Pages in PDF File: 25

Keywords: deforestation, general equilibrium modeling, greenhouse gas emissions, Indonesia, land allocation, REDD scheme

Accepted Paper Series


Date posted: July 5, 2011  

Suggested Citation

Warr, Peter G. and Yusuf, Arief Anshory, Reducing Indonesia’s Deforestation‐Based Greenhouse Gas Emissions (July 2011). Australian Journal of Agricultural and Resource Economics, Vol. 55, Issue 3, pp. 297-321, 2011. Available at SSRN: http://ssrn.com/abstract=1878954 or http://dx.doi.org/10.1111/j.1467-8489.2011.00540.x

Contact Information

Peter G. Warr
Australian National University (ANU) - Crawford School of Economics and Government ( email )
ANU College of Asia and the Pacific
Canberra, Australian Capital Territory 0200
Australia

Arief Anshory Yusuf
affiliation not provided to SSRN
Feedback to SSRN (Beta)


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