全球智库信息集成服务系统(G2TT): Towards a low-carbon economy: Coping with technological bifurcations with a carbon tax.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.eneco.2012.02.011
	Towards a low-carbon economy: Coping with technological bifurcations with a carbon tax.
	Chi C; Ma T; Zhu B
发表日期	2012
出处	Energy Economics 34 (3): 2081-2088
出版年	2012
语种	英语
摘要	Technological learning is understood as an endogenous mechanism for the diffusion of advanced clean energy technologies. Technological learning is quite uncertain. Previous research showed that an optimization model with uncertain technological learning could generate "technological bifurcations": various local optimal solutions of technology development strategies with very similar total costs but different environmental impacts. With a simplified energy system optimization model, this paper explores "technological bifurcations" and the effect of a carbon tax on the development and diffusion of new energy technologies. With a three-stage analysis, the main findings of this paper are (1) that technological learning, instead of its uncertainty, is an essential mechanism for "technological bifurcations", and (2) a carbon tax can reduce carbon emission but not necessarily "technological bifurcations". An implication from these findings is that with a carbon tax, there still could be potential for other policy interventions to reduce carbon emissions without much additional cost.
主题	Transitions to New Technologies (TNT)
关键词	Technological learning Uncertainty Optimization model Carbon tax Technological bifurcations
URL	http://pure.iiasa.ac.at/id/eprint/9990/
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/129569
推荐引用方式 GB/T 7714	Chi C,Ma T,Zhu B. Towards a low-carbon economy: Coping with technological bifurcations with a carbon tax.. 2012.