Downside versus Symmetric Measures of Uncertainty in Natural Resource Portfolio Design to Manage Climate Change Uncertainty

Payal Shah and Amy W. Ando

Abstract

Recent work uses Markowitz’s mean-variance framework to identify efficient allocations of conservation activity across subregions of a planning landscape to minimize climate change–induced uncertainty in future conservation benefits. We replace variance with a downside measure of uncertainty and compare the resulting portfolios of conservation activity and uncertainty–expected value results against those generated by the mean-variance approach. Results illustrate that conservation agents can manage climate changed–induced uncertainty in future conservation outcomes more efficiently using our framework when they are particularly averse to downside uncertainty and when predicted future conservation outcomes within subregions across their planning horizon exhibit skewed distributions. (JEL D81, Q57)

This article requires a subscription to view the full text. If you have a subscription you may use the login form below to view the article. Access to this article can also be purchased.

Purchase access

You may purchase access to this article. This will require you to create an account if you don't already have one.