全球智库信息集成服务系统(G2TT): Socio-economic futures in climate change impact assessment: using scenarios as 'learning machines'.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/S0959-3780(02)00006-7
ISBN	0959-3780
	Socio-economic futures in climate change impact assessment: using scenarios as 'learning machines'.
	Berkhout, Frans; Hertin, Julia; Jordan, Andrew
发表日期	2002
出处	Global Environmental Change
出版者	Elsevier
出版年	2002
页码	83-95
语种	英语
摘要	Climate impact assessment needs to take account of two interrelated processes: socio-economic change and climate change. To date, future change in socio-economic systems has not been sufficiently integrated with an analysis of climate change impacts. Participative and synthetic scenario approaches offer a means for dealing with critical issues of indeterminacy, innovation, reflexivity and framing in analysing change in socio-economic systems, paving the way for a coherent way of handling of socio-economic futures in impact assessment. We argue that scenarios represent heuristic tools that encourage social learning in climate impact assessment. The advantages and disadvantages of a scenario-based approach are explored using examples from regional climate impact assessment in the UK.
URL	http://sro.sussex.ac.uk/id/eprint/27722/
来源智库	Science Policy Research Unit (United Kingdom)
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/466285
推荐引用方式 GB/T 7714	Berkhout, Frans,Hertin, Julia,Jordan, Andrew. Socio-economic futures in climate change impact assessment: using scenarios as 'learning machines'.. 2002.