1. Deep uncertainty and the transition to a low-carbon economy
- Author
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Haas, Christian, Jahns, Henriette, Kempa, Karol, and Moslener, Ulf
- Abstract
The transformation of economies towards net zero greenhouse gas (GHG) emissions within very few decades will require substantial investments. However, the transition to a low-carbon economy exhibits a high degree of complexity and path dependency. Consequently, firms and investors systematically face deep uncertainty, a situation with no information about the probabilities of possible outcomes, where even the possible outcomes are not known. In this article, we present concepts and classifications of un-certainty and discuss potential sources of deep uncertainty for firms and investors, such as uncertainty about technology development and innovation, the behaviour of competitors, or climate-related policy development. Standard modelling-based decision support tools typically used by firms and investors are of limited value under deep un-certainty. Thus, deep uncertainty deters decision-making and delays low-carbon in-vestment. This article addresses this issue by providing an overview of approaches for decision-making under deep uncertainty. We analyse their applicability for firms and investors and discuss what challenges they might face. Based on this analysis, we de-rive guidelines for policymakers to reduce deep uncertainty and support firms' decision-making under deep uncertainty.
- Published
- 2023
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