The climate change learning curve

DOI10.1016/J.JEDC.2006.06.001zbMath1201.91149OpenAlexW2079871681MaRDI QIDQ1017064

Andrew J. Leach

Publication date: 18 May 2009

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: http://www.hec.ca/iea/cahiers/2004/iea0403_ale.pdf

zbMATH Keywords

growthdynamic programmingBayesian learningpollutionclimate changeenvironmental regulationprecautionary principle

Mathematics Subject Classification ID

Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (5)

An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty ⋮ A stochastic control model for optimal timing of climate policies ⋮ A three echelon revenue oriented green supply chain network design ⋮ Tipping elements in the Earth's climate system ⋮ Expected utility and catastrophic risk in a stochastic economy-climate model

Cites Work

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• Learning and stock effects in environmental regulation: The case of greenhouse gas emissions
• Algorithms and economic dynamics. Selected papers from the 2nd annual meeting of the Society for Computational Economics, Geneva, Switzerland, 1996
• Bayesian learning, growth, and pollution
• Solving infinite horizon growth models with an environmental sector
• Regulation with anticipated learning about environmental damages
• Adjustment costs from environmental change

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