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published 101231 1 309722 document 101231 indexcodes.txt text/x-c++ f891ab5b514f5efe3c0648aa8a7cbe91 MD5 11615 2023-04-17 10:35:49 https://pure.iiasa.ac.at/id/eprint/18722/2/indexcodes.txt 18722 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/101230 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/101230 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/101230 101235 2 309726 document 101235 small.jpg image/png 814be6281319d6e907a1c94ad8fd8b08 MD5 1655 2023-04-17 10:36:10 https://pure.iiasa.ac.at/id/eprint/18722/6/small.jpg 18722 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/101230 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/101230 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/101230 archive 353 disk0/00/01/87/22 2023-04-17 10:26:22 2023-04-19 13:30:15 2023-04-17 10:26:22 monograph show 1 Muttoni M. 9780 pub EF Climate tipping points are abrupt regime shifts in the Earth’s climate systems that are mainly driven by the anthropogenic increase in global mean temperature. Given the concrete possibility that increasingly frequent and severe climate-related catastrophes will negatively impact the world economy, how should we model our policies to optimally prepare for and adapt to such events? We formulate a continuous-time version of the DICE model by W. Nordhaus, and include a climate tipping point as a random instant whose hazard rate increases with the global mean temperature. The resulting model is a two-stage optimal control problem with a random switching time, that we then approach with the Maximum Principle for heterogeneous systems developed by V. M. Veliov (see Wrzaczek et al. [2020], Veliov [2008]). Among our results, we find analytical conditions for the optimal savings and emission abatement policy, and a decomposition of the growth rate of the social cost of carbon. Numerical simulations are provided for different tipping point scenarios. 2022-11-04 published IIASA 3490 public yssp Laxenburg, Austria no info:eu-repo/semantics/book