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Cited by 406

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Socio-economic futures in climate change impact assessment: using scenarios as ‘learning machines’

Open access
BERKHOUT, F, HERTIN, J, JORDAN, A·2002·Global Environmental Change

Abstract

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.

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Metadata

Authors
BERKHOUT, F., HERTIN, J., & JORDAN, A.
Venue
Global Environmental Change
Publisher
Elsevier BV
Published
2002-07
Volume
12
Issue
2
Pages
83-95
ISSN
0959-3780 (ISSN-L)
OpenAlex
W2141175749
Cited by
406
References
54
FWCI
13.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Socio-economic futures in climate change impact assessment: using scenarios as ‘learning machines’. https://app.cochat.ai/papers/10.1016/s0959-3780(02)00006-7
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BERKHOUT, F., HERTIN, J., & JORDAN, A. (2002). Socio-economic futures in climate change impact assessment: using scenarios as ‘learning machines’. Global Environmental Change. https://doi.org/10.1016/s0959-3780(02)00006-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.