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Managing CO 2 emission control policy is a complex problem because of uncertainties in CO 2 emission process and CO 2 uptake, and irreversibility in investment decisions. Traditional method using benefit cost analysis for evaluation of CO 2 reduction policy is not effective in presence of deep uncertainties. Real options analysis approach is an alternative methodology which incorporates uncertainties and flexible timing in decision making. It allows the policymaker to learn and then act when the more information is available to resolve the uncertainties. This paper proposes a methodology with real options analysis for analysing the timing and conditions of adoption of CO 2 reduction policies. CO 2 emission is modelled as a stochastic process and CO 2 observation data are used to statistically estimate the parameters of the stochastic CO 2 emission model. A perpetual time model is developed to investigate CO 2 emission cutback policy and CO 2 concentration abatement policy and closed form analytical solutions are provided.
International Journal of System of Systems Engineering – Inderscience Publishers
Published: Jan 1, 2013
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