Global Climate Decisions Under Uncertainty

Alan Manne

Chapter Chapter 15 in Stochastic Programming, 2010, pp 317-327 from Springer

Abstract: Abstract No matter what one’s views on global climate change, it is easy to agree that there is great uncertainty and that our models should reflect that uncertainty. The technical difficulty is that uncertainty can lead to an enormous increase in dimensionality. In this chapter, we will explore an alternative approach to dealing with the problem of dimensionality in large multiregion, multiperiod models, where the regions are aggregated so that we solve a “one-world” model in the later time periods, because discounting limits the importance of distant-future uncertainties for near-future decisions.

Keywords: Climate Sensitivity; Carbon Capture; Temperature Target; Energy Information Administration; High Climate Sensitivity (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-1642-6_15

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DOI: 10.1007/978-1-4419-1642-6_15

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