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2015 | OriginalPaper | Chapter

22. Climate Change Impacts at the National Level: Known Trends, Unknown Tails, and Unknowables

Authors : Karl W. Steininger, Gernot Wagner, Paul Watkiss, Martin König

Published in: Economic Evaluation of Climate Change Impacts

Publisher: Springer International Publishing

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Abstract

Economists attempting to evaluate the impacts of climate change are often caught between hard theory and exceedingly rocky empirics. Impact assessment models are necessarily based on highly aggregated—and sometimes highly simplified—damage functions. This study takes an alternative approach: a bottom-up, physical impact assessment and respective monetisation, attempting to cover a much broader set of impact fields, feeding directly into a macroeconomic and welfare analysis at the national level. To ensure consistency, our approach applies impact assessment at the sectoral impact chain level using shared socioeconomic pathways, consistent climate scenarios, computable general equilibrium evaluation, and non-market impact evaluation. The approach is applied to assess a broad scope of climate impacts in Austria. Results indicate significant impacts around ‘known knowns’ (such as changes in agricultural yield from climatic shifts), with uncertainty increased by ‘known unknowns’ (e.g. changes in water availability for irrigation, changes in pest and diseases) but also raises the question of unknowns and unknowables, which may possibly dominate future impacts (such as exceedance of critical ecosystem function for supporting agriculture). Climate change, ultimately, is a risk management problem, where insurance thinking warrants significant mitigation (and adaptation) action today.
Analysis of the study results indicate that the current welfare damage of climate and weather induced extreme events in Austria is an annual average of 1 billion euros (large events only). This has the potential to rise to 4–5 billion euros by mid-century (annual average, known knowns of impact chains only), with an uncertainty range of 4–9 billion euros. When extreme events and the tails of their distribution are included, even for a partial analysis focused on extremes, damages are seen to rise significantly, e.g. with an estimated increase to 40 billion euros due to riverine flooding events alone by the end of the century. These highlight the need to consider the distribution of impacts, as well as the central values.

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Footnotes
1
This range for Alpine regions refers to the “likely” range, i.e. the 17–83 percentile. To be fully comparable with the global temperature range given by IPCC, which refers to the 5–95 percentile, the range for the Alpine region would be larger.
 
2
The three most often applied Integrated Assessment Models (IAMs) to date are DICE (Dynamic Integrated Climate and Economy), PAGE (Policy Analysis of the Greenhouse Effect), and FUND (Climate Framework for Uncertainty, Negotiation, and Distribution), with model descriptions given by Nordhaus (1991, 2011); Hope (2006)—on which the Stern review is based (Stern 2007)—and Tol (2002a, b), Anthoff and Tol (2010), respectively. The modelling aspects questioned most—for derivation of social costs of carbon by such means—include arbitrary parameter choice in social welfare functions, climate sensitivity (the temperature increase a GHG doubling implies), arbitrary and non-empirical based climate damage functions (usually a functional relationship between temperature increase and (regional) GDP loss, for FUND also distinguishing individual sectors), and neglect of consideration of possible catastrophic outcomes. For detailed discussions see Watkiss (2011a, b), Pindyck (2013), Stern (2013), and Wagner and Weitzman (2015).
 
3
In the literature this is also known as ‘adaptation deficit’.
 
4
Damage events covered by MunichRe (2014) concern catastrophes of UN classification level 3–6. With medium catastrophes (levels 3 and 4) characterized by damages larger than US$25 m (40 m/50 m/60 m) when occurring in the 1980s (1990s/2000s/2010s) and large and significant catastrophes (levels 5 and 6) characterized by damages beyond US$275 m (400 m/500 m/650 m) or respective death tolls (more than 100 and more than 500, respectively).
 
5
This number relates to total damages (i.e. beyond those insured) of large and significant catastrophes (of levels 5 and 6), but covers direct damages only, i.e. it does not include indirect damages, macroeconomic consequences or non-market damages.
 
6
Chapter 18 supplies further details, see in particular Table 18.​1.
 
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Metadata
Title
Climate Change Impacts at the National Level: Known Trends, Unknown Tails, and Unknowables
Authors
Karl W. Steininger
Gernot Wagner
Paul Watkiss
Martin König
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-12457-5_22

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