全球智库信息集成服务系统(G2TT): Learning and climate change.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1080/14693062.2006.9685623
	Learning and climate change.
	O'Neill B; Crutzen P; Grubler A; Duong MH; Keller K; Kolstad C; Koomey J; Lange A
发表日期	2006
出处	Climate Policy 6 (5): 585-589
出版年	2006
语种	英语
摘要	Learning—i.e. the acquisition of new information that leads to changes in our assessment of uncertainty—plays a prominent role in the international climate policy debate. For example, the view that we should postpone actions until we know more continues to be influential. The latest work on learning and climate change includes new theoretical models, better informed simulations of how learning affects the optimal timing of emissions reductions, analyses of how new information could affect the prospects for reaching and maintaining political agreements and for adapting to climate change, and explorations of how learning could lead us astray rather than closer to the truth. Despite the diversity of this new work, a clear consensus on a central point is that the prospect of learning does not support the postponement of emissions reductions today.
主题	Ecosystems Services and Management (ESM) ; World Population (POP) ; Transitions to New Technologies (TNT)
关键词	Learning Uncertainty Climate Change Decision analysis
URL	http://pure.iiasa.ac.at/id/eprint/12293/
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/128509
推荐引用方式 GB/T 7714	O'Neill B,Crutzen P,Grubler A,et al. Learning and climate change.. 2006.