G2TT
来源类型Article
规范类型其他
DOI10.1016/j.techfore.2015.01.003
Integrated model for robust emission trading under uncertainties: cost-effectiveness and environmental safety.
Ermoliev Y; Ermolieva T; Jonas M; Obersteiner M; Wagner F; Winiwarter W
发表日期2015
出处Technological Forecasting and Social Change 98: 234-244
出版年2015
语种英语
摘要Emission trading scheme was devised to lower the cost of achieving greenhouse gas emission reductions emissions are reduced where it is cheapest and emission certificates are then traded to meet the nomial targets for each participant. However, carbon markets, like other commodity markets, are volatile. Thy react to stochastic "disequilibrium" spot prices, which may be affected by inadequate policies, speculations and bubbles. The market-based emission trading, therefore, does not necessarily minimize abatement cots and achieve emission reduction goals. We introduce a basic stochastic trading model allowing analysisof the robustness of emission reduction policies under irreversibility, asymmetric information and othermultiple anthropogenic and natural uncertainties. We illustrate functioning of the robust market with numerica results involving such countries as US, Australia, Canada, Japan, EU27, Russia, Ukraine, China. In particular we analyze if knowledge about uncertainties may affect portfolios of technological and trade policies an how uncertainty characteristics may influence market prices and change the market structure.
主题Advanced Systems Analysis (ASA) ; Ecosystems Services and Management (ESM) ; Mitigation of Air Pollution (MAG) ; Air Quality & ; Greenhouse Gases (AIR)
关键词robust emission trading uncertainties irreversibility environmental safety cost-effectiveness core solution two-stage stochastic optimization
URLhttp://pure.iiasa.ac.at/id/eprint/11386/
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/130320
推荐引用方式
GB/T 7714
Ermoliev Y,Ermolieva T,Jonas M,et al. Integrated model for robust emission trading under uncertainties: cost-effectiveness and environmental safety.. 2015.
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