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Economics of Forest Carbon Sequestration

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  • G. Cornelis van Kooten
  • Craig Johnston
  • Zhen Xu

Abstract

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Suggested Citation

  • G. Cornelis van Kooten & Craig Johnston & Zhen Xu, 2012. "Economics of Forest Carbon Sequestration," Working Papers 2012-04, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
  • Handle: RePEc:rep:wpaper:2012-04
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    File URL: http://web.uvic.ca/~repa/publications/REPA%20working%20papers/WorkingPaper2012-04.pdf
    File Function: Final version, 2012
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    References listed on IDEAS

    as
    1. Elizabeth A. Law & Sebastian Thomas & Erik Meijaard & Paul J. Dargusch & Kerrie A. Wilson, 2012. "A modular framework for management of complexity in international forest-carbon policy," Nature Climate Change, Nature, vol. 2(3), pages 155-160, March.
    2. van Kooten, G. Cornelis & Eagle, Alison J. & Manley, James G. & Smolak, Tara M., 2004. "How Costly Are Carbon Offsets? A Meta-Analysis Of Carbon Forest Sinks," Working Papers 18166, University of Victoria, Resource Economics and Policy.
    3. Woodward, Richard T., 2011. "Double-dipping in environmental markets," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 153-169, March.
    4. G. Cornelis van Kooten, 2008. "Biological Carbon Sequestration and Carbon Trading Re-visited," Working Papers 2008-04, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    5. Brian C. Murray & Bruce A. McCarl & Heng-Chi Lee, 2004. "Estimating Leakage from Forest Carbon Sequestration Programs," Land Economics, University of Wisconsin Press, vol. 80(1), pages 109-124.
    6. G. Cornelis van Kooten & Tim Bogle & Frans P. de Vries, 2012. "Rent Seeking and the Smoke and Mirrors Game in the Creation of Forest Sector Carbon Credits: An Example from British Columbia," Working Papers 2012-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    7. Dieter Helm, 2010. "Government failure, rent-seeking, and capture: the design of climate change policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(2), pages 182-196, Summer.
    8. G. Cornelis van Kooten & Alison Eagle & James Manley & Tara Smolak, 2004. "How Costly are Carbon Offsets? A Meta-Analysis of Forest Carbon Sinks," Working Papers 2004-01, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    9. N. Wear, David & Murray, Brian C., 2004. "Federal timber restrictions, interregional spillovers, and the impact on US softwood markets," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 307-330, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kallio, A.M.I. & Salminen, O. & Sievänen, R., 2016. "Forests in the Finnish low carbon scenarios," Journal of Forest Economics, Elsevier, vol. 23(C), pages 45-62.
    2. Centeno, Maria Luz N., 2000. "Deforestation In The Philippines: A Cge Modelling Approach," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123619, Australian Agricultural and Resource Economics Society.
    3. Jung, Martina, 2003. "The Role of Forestry Sinks in the CDM - Analysing the Effects of Policy Decisions on the Carbon Market," HWWA Discussion Papers 241, Hamburg Institute of International Economics (HWWA).

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    More about this item

    Keywords

    carbon trading; carbon offsets; forestry;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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