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2015 | OriginalPaper | Buchkapitel

3. On the State of Assessing the Risks and Opportunities of Climate Change in Europe and the Added Value of COIN

verfasst von : Reimund Schwarze

Erschienen in: Economic Evaluation of Climate Change Impacts

Verlag: Springer International Publishing

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Abstract

This paper provides an overview on how climate change impact assessment is conducted in some EU countries, strengths and weaknesses of the current approaches, and the added values of the Austrian study (COIN). It focuses on bottom-up approaches for the assessment of climate risks and opportunities (CRA) as well as costs and benefits (CBA) of climate change. Main findings are: Despite different decision making contexts all methodologies acknowledge the inevitability of “unquantifiable impacts”. Uncertainties are pervasive but confidence rankings are not universally applied. Risk scorings and CBA coexist in almost all countries but are differently established in adaptation planning. An important gap in many methodologies of bottom-up is the assessment of cross-sectoral, indirect and macroeconomic effects. The COIN project advances CBA methods in several respects: It carefully defines concepts and impact chains, applies consistent socio-economic scenarios and shared policy assumptions across sectors. It covers cross-sectoral, indirect and macroeconomic effects. And it combines observations and projections, which can be more easily communicated in national dialogues than top down models. A logical next step is parallel national CRA effort—much in similarity to other European countries.

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Fußnoten
1
For an overview of top-down-approaches see Döll (2010) and Schenker (2012). Prominent examples of global IAMs are MERGE, PAGE, FUND, D/RICE or WIAGEM, some of them having been developed further to explicitly model adaptation, e.g. AD-D/RICE and AD-WITCH. It is widely acknowledged, however, that top-down approaches are weaker in their performance for national adaptation planning than for mitigation policies because of their lack of connectedness to empirical studies. See Fisher-Vanden et al. (2013) for a survey of the issues.
 
2
Confidence scores allow for a transparent consideration of the current level of scientific understanding.
 
4
Detailed impact assessments are available online (French only) at:
 
5
The study used the current French socio-economic situation (a scenario defined as “constant economy”).
 
7
2060-moderate assumes a global reduction in GHG emissions of 90 % in 2100, 2060-severe assumes business as usual.
 
8
Examples of small uncertainties in terms of risk are found in relation to demography and changing agricultural and forestry land uses. Medium uncertainties are seen in changes of housing density and average house values, while large uncertainties apply to changing agricultural and energy prices (Ernst Basler + Partner 2013a, p. 25).
 
9
Specifically in the monetarisation of health effects. For further information see: www.​bafu.​admin.​ch/​klimaanpassung/​11529/​11578/​index.​html?​lang=​de and Swiss Federal Confederation (2013), Chap. 5. Details of the pilot project can be found at: www.​bafu.​admin.​ch/​klimaanpassung/​11529/​11578/​index.​html?​lang=​de
 
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Metadaten
Titel
On the State of Assessing the Risks and Opportunities of Climate Change in Europe and the Added Value of COIN
verfasst von
Reimund Schwarze
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-12457-5_3

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