To learn or to change: optimal R\&D investments under uncertainty in the case of climate change
type: Item
instance of: scholarly article
title: To learn or to change: optimal R\&D investments under uncertainty in the case of climate change
zbMATH Open document ID: 1542.91245
author: Ruiqing Miao
author: David A. Hennessy
published in: Natural Resource Modeling
publication date: 2024-06-05T00:00:00Z
Mathematics Subject Classification ID: 91B76
zbMATH DE Number: 7860135
zbMATH Keywords: climate change
zbMATH Keywords: learn-then-act principle
zbMATH Keywords: precautionary principle
zbMATH Keywords: R\&D investments
zbMATH Keywords: uncertainty
MaRDI profile type: Publication
cites work: Climate change and optimal energy technology R\&D policy
cites work: Decision Making and the Temporal Resolution of Uncertainty
cites work: Decision-making under scientific uncertainty: The economics of the precautionary principle
cites work: Bayesian learning, growth, and pollution
cites work: The climate change learning curve
DOI: 10.1111/NRM.12032
description: scientific article; zbMATH DE number 7860135