G2TT
来源类型Article
规范类型其他
DOI10.1016/0377-2217(94)00244-7
Modeling investment uncertainty in the costs of global CO2 emission policy.
Birge JR; Rosa CH
发表日期1995
出处European Journal of Operations Research 83 (3): 466-488
出版年1995
语种英语
摘要This paper investigates the effect that explicit modeling of stochastic returns to investment has on the CO2 abatement policy returned by a large scale macroeconomic model of the United States economy. We find that a policy derived from the mean value deterministic model in which the random variables of the stochastic model have been replaced by their expected value poorly approximates the optimal policy returned by solving the stochastic programming model. We measure this nonoptimality by determining the value of the stochastic solution and investigating the different evolutionary paths that various macroeconomic variables follow. Macroeconomic variables which stray far from their optimal paths when derived under the assumption of a certain mean valued future are as follows: the level of carbon taxation, investment in new energy production technologies, exploration for nonrenewable resources and investment in improved macroeconomic efficiency.
主题Optimization under Uncertainty (OPT)
关键词Economics Environment Stochastic programming
URLhttp://pure.iiasa.ac.at/id/eprint/4272/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127379
推荐引用方式
GB/T 7714
Birge JR,Rosa CH. Modeling investment uncertainty in the costs of global CO2 emission policy.. 1995.
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