Real options and CO2 reduction policies for climate change
by Laurence G. Chan; Vladan Babovic
International Journal of System of Systems Engineering (IJSSE), Vol. 4, No. 2, 2013

Abstract: Managing CO2 emission control policy is a complex problem because of uncertainties in CO2 emission process and CO2 uptake, and irreversibility in investment decisions. Traditional method using benefit cost analysis for evaluation of CO2 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 CO2 reduction policies. CO2 emission is modelled as a stochastic process and CO2 observation data are used to statistically estimate the parameters of the stochastic CO2 emission model. A perpetual time model is developed to investigate CO2 emission cutback policy and CO2 concentration abatement policy and closed form analytical solutions are provided.

Online publication date: Mon, 09-Sep-2013

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