Articles | Volume 9, issue 2
https://doi.org/10.5194/esd-9-525-2018
https://doi.org/10.5194/esd-9-525-2018
Research article
 | 
18 May 2018
Research article |  | 18 May 2018

The impact of uncertainty on optimal emission policies

Nicola Botta, Patrik Jansson, and Cezar Ionescu

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Cited articles

Bellman, R.: Dynamic Programming, Princeton University Press, Princeton, 1957.
Botta, N.: IdrisLibs, https://gitlab.pik-potsdam.de/botta/IdrisLibs, 2016–2017.
Botta, N., Jansson, P., and Ionescu, C.: Contributions to a computational theory of policy advice and avoidability, J. Funct. Program., https://doi.org/10.1017/S0956796817000156, in press, 2017a.
Botta, N., Jansson, P., Ionescu, C., Christiansen, D. R., and Brady, E.: Sequential decision problems, dependent types and generic solutions, Log. Meth. Comput. Sci., 13, https://doi.org/10.23638/LMCS-13(1:7)2017, 2017b.
Brady, E.: Programming in Idris: a tutorial, http://idris-lang.org/tutorial, 2013.
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Short summary
We study the impact of uncertainty on optimal greenhouse gas (GHG) emission policies for a stylized emission problem. The results suggest that uncertainties about the implementability of decisions on emission reductions (or increases) call for more precautionary policies. In contrast, uncertainties about the implications of exceeding critical cumulated emission thresholds tend to make early emission reductions less rewarding.
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