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• W801490017 abstract "The optimal policy that balances the cost of mitigation with the damages from climate change can be assessed by examining the interactions between the socioeconomic system and the climate system. Traditionally, Cost-Benefit Analysis (CBA) is used for this problem but requires an approximate economic evaluation of the totality of climate damages which, in turn, calls for extensive impact assessments and ethical debates. Until such damage functions are agreed upon, another operational framework is essential for policy analysis. To fill the gap, climate (e.g. temperature) targets have been used in conjunction with Cost-Effectiveness Analysis (CEA). However, this analysis breaks down if a violation of the target is inevitable. This becomes especially salient when considering uncertainty and learning under temperature targets, given the presently infinite tail of climate sensitivity. A remedy was proposed that trades off the costs for mitigating climate change against the risk of exceeding climate targets: Cost-Risk Analysis (CRA). The implicitly defined preference order contained in the formulation of a climate target is absorbed into CRA by a calibration process, whereas it is an explicit constraint in CEA. The UNFCCC’s climate negotiations and many other organizations refer to climate targets in discussions, such as a 66% probability of keeping global warming below 2°C. Such a target includes an implicit assessment of the associated risk. This thesis explores, for the first time, the consequences of using such a target to calibrate CRA. We apply CRA to the climate problem including uncertainty and future learning and derive optimal mitigation paths. We calculate the value of future learning about the temperature response to be around 1/5 of total costs of climate protection (these costs include a monetized “risk” measure). The framework of CRA is based on expected utility maximization augmented by a risk-related term implemented by a risk metric which is subtracted from utility. A risk metric based on the probability of violating a temperature target leads to maximum emissions if it is learned that the temperature response is strong. We propose that such behavior is not in line with the preferences of the community supporting climate targets. Therefore, the thesis explores a risk metric based on the concept of degree years. We develop a method of attributing the value of information and the cost of climate protection to their respective sources. A source can either be a change in consumption (i.e. economy related) or a risk-related utility change. Furthermore, an attribution to different time steps and states of the world is also presented. We find that about 2/3 of the value of information originates from the economy before 2050. The economic value of information offsets around 1/3 of the economic cost of climate protection (i.e. the cost of mitigation)." @default.
• W801490017 created "2016-06-24" @default.
• W801490017 creator A5033647228 @default.
• W801490017 creator A5055519470 @default.
• W801490017 creator A5074705173 @default.
• W801490017 date "2014-07-01" @default.
• W801490017 modified "2023-09-27" @default.
• W801490017 title "Value of information under climate targets: an application of cost-risk analysis" @default.
• W801490017 cites W122507232 @default.
• W801490017 cites W1480805479 @default.
• W801490017 cites W1496389464 @default.
• W801490017 cites W1546194525 @default.
• W801490017 cites W1557166578 @default.
• W801490017 cites W1575707379 @default.
• W801490017 cites W1575877640 @default.
• W801490017 cites W1584197191 @default.
• W801490017 cites W1585527885 @default.
• W801490017 cites W1587085269 @default.
• W801490017 cites W1597317454 @default.
• W801490017 cites W1641326033 @default.
• W801490017 cites W1659352704 @default.
• W801490017 cites W1903896068 @default.
• W801490017 cites W1964761337 @default.
• W801490017 cites W1966038551 @default.
• W801490017 cites W1966392212 @default.
• W801490017 cites W1967360268 @default.
• W801490017 cites W1974412430 @default.
• W801490017 cites W1977244495 @default.
• W801490017 cites W1977639347 @default.
• W801490017 cites W1978439733 @default.
• W801490017 cites W1979386836 @default.
• W801490017 cites W1980936406 @default.
• W801490017 cites W1982238260 @default.
• W801490017 cites W1984753319 @default.
• W801490017 cites W1985148570 @default.
• W801490017 cites W1988998989 @default.
• W801490017 cites W1993384288 @default.
• W801490017 cites W1999923502 @default.
• W801490017 cites W2002886320 @default.
• W801490017 cites W2015550858 @default.
• W801490017 cites W2020592586 @default.
• W801490017 cites W2025274380 @default.
• W801490017 cites W2027464004 @default.
• W801490017 cites W2028502030 @default.
• W801490017 cites W2034227551 @default.
• W801490017 cites W2035757940 @default.
• W801490017 cites W2036289518 @default.
• W801490017 cites W2044583712 @default.
• W801490017 cites W2046110405 @default.
• W801490017 cites W2055162178 @default.
• W801490017 cites W2060852319 @default.
• W801490017 cites W2074655637 @default.
• W801490017 cites W2075970438 @default.
• W801490017 cites W2077016814 @default.
• W801490017 cites W2079418618 @default.
• W801490017 cites W2082786719 @default.
• W801490017 cites W2083989762 @default.
• W801490017 cites W2087016344 @default.
• W801490017 cites W2087556976 @default.
• W801490017 cites W2087895844 @default.
• W801490017 cites W2093772112 @default.
• W801490017 cites W2094067643 @default.
• W801490017 cites W2097961800 @default.
• W801490017 cites W2098219542 @default.
• W801490017 cites W2099288949 @default.
• W801490017 cites W2104242935 @default.
• W801490017 cites W2104594450 @default.
• W801490017 cites W2107577910 @default.
• W801490017 cites W2116542163 @default.
• W801490017 cites W2118205215 @default.
• W801490017 cites W2123186171 @default.
• W801490017 cites W2124349312 @default.
• W801490017 cites W2126175917 @default.
• W801490017 cites W2130407310 @default.
• W801490017 cites W2131086800 @default.
• W801490017 cites W2133263921 @default.
• W801490017 cites W2139086885 @default.
• W801490017 cites W2146674103 @default.
• W801490017 cites W2147668806 @default.
• W801490017 cites W2159936100 @default.
• W801490017 cites W2160300181 @default.
• W801490017 cites W2166390850 @default.
• W801490017 cites W2166863280 @default.
• W801490017 cites W2168827660 @default.
• W801490017 cites W2188670453 @default.
• W801490017 cites W2243462151 @default.
• W801490017 cites W2263500681 @default.
• W801490017 cites W2491244867 @default.
• W801490017 cites W2521802888 @default.
• W801490017 cites W2578832105 @default.
• W801490017 cites W2917536356 @default.
• W801490017 cites W3009660220 @default.
• W801490017 cites W3123254891 @default.
• W801490017 cites W3123566674 @default.
• W801490017 cites W3124303308 @default.
• W801490017 cites W3125788478 @default.
• W801490017 cites W94892924 @default.
• W801490017 cites W2621232787 @default.
• W801490017 doi "https://doi.org/10.17617/2.2043341" @default.
• W801490017 hasPublicationYear "2014" @default.

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