Real options analysis of climate-change adaptation: investment flexibility and extreme weather events
Investments in climate-change adaptation will have to be made while the extent of climate change is uncertain. However, some important sources of uncertainty will fall over time as more climate data become available. This paper investigates the effect on optimal investment decision-making of learning that reduces uncertainty. It develops a simple real options method to value options that are found in many climate-change adaptation contexts. This method modifies a binomial tree model frequently applied to climate-change adaptation problems, incorporating gradual learning using a Bayesian updating process driven by new observations of extreme events. It is used to investigate the timing, scale, or upgradable design of an adaptation project. Recognition that we might have more or different information in the future makes flexibility valuable. The amount of value added by flexibility and the ways in which flexibility should be exploited depend on how fast we learn about climate change. When learning will occur quickly, the value of the option to delay investment is high. When learning will occur slowly, the value of the option to build a small low-risk project instead of a large high-risk one is high. For intermediate cases, the option to build a small project that can be expanded in the future is high. The approach in this paper can support efficient decision-making on adaptation projects by anticipating that we gradually learn about climate change by the recurrence of extreme events.
KeywordsClimate change Adaptation Real options Cost–benefit analysis Learning
The author gratefully acknowledges extremely helpful suggestions from three anonymous referees.
- Guthrie G (2009) Real options in theory and practice. Oxford University Press, New YorkGoogle Scholar
- Haer T, Botzen WJW, van Roomen V, Connor H, Zavala-Hidalgo J, Eilander DM, Ward PJ (2018) Coastal and river flood risk analyses for guiding economically optimal flood adaptation policies: a country-scale study for Mexico. Philos Trans R Soc A Math Phys Eng Sci 376(2121):20170329CrossRefGoogle Scholar
- Helgeson C (2018) Structuring decisions under deep uncertainty. Topoi, forthcomingGoogle Scholar
- Lee BS, Haran M, Keller K (2017) Multidecadal scale detection time for potentially increasing Atlantic storm surges in a warming climate. Geophys Res Lett 44(10):617–623Google Scholar
- UNEP (2016) The adaptation finance gap report 2016. United Nations Environment Programme. NairobiGoogle Scholar
- UNFCCC (2007) Climate change: impacts, vulnerabilities, and adaptation in developing countries. United Nations Framework Convention on Climate Change. Bonn, GermanyGoogle Scholar