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The social cost of carbon when we wish for full-path robustness

Zhao, Yifan; Basu, Arnab; Lontzek, Thomas; Schmedders, Karl - In: Management science : journal of the Institute for … 69 (2023) 12, pp. 7585-7606

Persistent link: https://www.econbiz.de/10014444153

Uncertainty of carbon economy using the Faustmann model

Yousefpour, Rasoul; Augustynczik, Andrey L.D. - In: Journal of forest economics : JFE 34 (2019) 1/2, pp. 99-128

Persistent link: https://www.econbiz.de/10012303904

Temperature targets, deep uncertainty and extreme events in the design of optimal climate policy

Agliardi, Elettra; Xepapadeas, Anastasios - In: Journal of economic dynamics & control 139 (2022), pp. 1-19

Persistent link: https://www.econbiz.de/10013464797

Uncertainty and climate treaties : does ignorance pay?

Dellink, Rob; Finus, Michael - In: Resource and energy economics 34 (2012) 4, pp. 565-584

Persistent link: https://www.econbiz.de/10009663724

Managing climate change under uncertainty : recursive integrated assessment at an inflection point

Lemoine, Derek; Rudik, Ivan - 2016

Persistent link: https://www.econbiz.de/10011893611

The effect of learning on climate policy under fat-tailed risk

Hwang, In Chang; Reynès, Frédéric; Tol, Richard S. J. - In: Resource and energy economics 48 (2017), pp. 1-18

Persistent link: https://www.econbiz.de/10011775726

Catastrophic thresholds, Bayesian learning and the robustness of climate policy recommendations

Chang, Wonjun; Rutherford, Thomas F. - In: Climate change economics 8 (2017) 4, pp. 1-23

Persistent link: https://www.econbiz.de/10011857264

Active learning and optimal climate policy

Hwang, In Chang; Tol, Richard S. J.; Hofkes, Marjan W. - In: Environmental & resource economics : the official … 73 (2019) 4, pp. 1237-1264

Persistent link: https://www.econbiz.de/10012130888

Robust temporal optimisation for a crop planning problem under climate change uncertainty

Randall, M.; Montgomery, J.; Lewis, A. - In: Operations research perspectives 9 (2022), pp. 1-13

Considering a temporal dimension allows for the delivery of rolling solutions to complex real-world problems. Moving forward in time brings uncertainty, and large margins for potential error in solutions. For the multi-year crop planning problem, the largest uncertainty is how the climate will...

Persistent link: https://www.econbiz.de/10012880126

Dealing with deep uncertainty in the energy transition : what we can learn from the electricity and transportation sectors

Haas, Christian; Kempa, Karol; Moslener, Ulf - In: Energy policy 179 (2023), pp. 1-7

Persistent link: https://www.econbiz.de/10014478883