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The Optimal Time Path for Carbon Abatement and Carbon Sequestration under Uncertainty: The Case of Stochastic Targeted Stock

ScholarsArchive at Oregon State University

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Title The Optimal Time Path for Carbon Abatement and Carbon Sequestration under Uncertainty: The Case of Stochastic Targeted Stock
Names Haim, David (creator)
Plantinga, Andrew J. (creator)
Thomann, Enrique (creator)
Date Issued 2014-01 (iso8601)
Note This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier and can be found at: http://www.sciencedirect.com/science/journal/09287655.
Abstract We explore the optimal time path of carbon sequestration and carbon abatement in stabilizing
CO₂ levels under uncertainty of climate impacts. Using a two-period sequential decision making
model, we analytically derive optimal rates for the two control variables, abatement and
sequestration rates. Uncertainty is assumed to affect the desired future stabilization level of the
CO₂ stock but is resolved prior to the decision on how much to control the stock in the second
period. Contrary to recent numerical studies, we find that uncertainty can make it optimal to use
carbon sequestration either earlier or later depending on the relative rates of change in both
marginal cost curves and on the amount of land that can be converted to forest. Comparative
statics suggest that an increase in the discount factor could either increase or decrease the
optimal rate of sequestration in the first period depending on the expected rate of change of the
marginal cost of sequestration in the second period and on future benefits of current
sequestration.
Genre Article
Topic carbon sequestration
Identifier Haim, D., Plantinga, A. J., & Thomann, E. (2014). The optimal time path for carbon abatement and carbon sequestration under uncertainty: The case of stochastic targeted stock. Resource and Energy Economics, 36(1), 151-165. doi:10.1016/j.reseneeco.2013.11.006

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