The sequestration of CO2 in forests is often suggested as a means to offset greenhouse gas emissions. New Zealand’s experience suggests the effects of government programmes to provide carbon credits to forest owners could be enhanced if forward markets, futures markets, or carbon-lending markets were used to manage risks. This paper provides a comparative institutions approach based on the history of commodity markets to argue that carbon lending markets, not forward or futures markets, are likely to be the most convenient form of a forestry carbon market. A carbon lending market will raise the total returns from forestry investments with minimal risks to forest owners, and simultaneously reduce the risks facing other firms contemplating carbon reducing investments. For this reason, governments wishing to include forest sequestration in an Emissions Trading Scheme may wish to encourage the development of a carbon lending market.
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1 December 2018
Research Article|
December 01 2018
Forest-based carbon sequestration, and the role of forward, futures, and carbon-lending markets: A comparative institutions approach Available to Purchase
Andrew Coleman
Andrew Coleman
*
University of Otago
, New Zealand
*Corresponding author at: PO Box 56, Dunedin 9054, New Zealand. E-mail address:andrew.coleman@otago.ac.n.
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*Corresponding author at: PO Box 56, Dunedin 9054, New Zealand. E-mail address:andrew.coleman@otago.ac.n.
Received:
December 11 2016
Accepted:
December 17 2018
Online ISSN: 1618-1530
Print ISSN: 1104-6899
© 2018 Department of Forest Economics, Swedish University of Agricultural Sciences, Umeå. Published by Elsevier GmbH.
2018
Department of Forest Economics, Swedish University of Agricultural Sciences, Umeå
Licensed re-use rights only
Journal of Forest Economics (2018) 33 (1): 95–104.
Article history
Received:
December 11 2016
Accepted:
December 17 2018
Citation
Coleman A (2018), "Forest-based carbon sequestration, and the role of forward, futures, and carbon-lending markets: A comparative institutions approach". Journal of Forest Economics, Vol. 33 No. 1 pp. 95–104, doi: https://doi.org/10.1016/j.jfe.2018.12.002
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