Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model
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- Grubb, M. & Mercure, J. & Salas, P. & Lange, R., 2018. "Systems Innovation, Inertia and Pliability: A mathematical exploration with implications for climate change abatement," Cambridge Working Papers in Economics 1819, Faculty of Economics, University of Cambridge.
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- Andrea Rampa, 2020. "Climate change, catastrophes and Dismal Theorem: a critical review [Klimawandel, Katastrophen und das „Dismal Theorem“: eine kritische Überprüfung]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(2), pages 113-136, October.
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- Rick Van der Ploeg & Armon Rezai, 2016. "Second-Best Renewable Subsidies To De-Carbonize The Economy: Commitment And The Green Paradox," OxCarre Working Papers 168, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
- Armon Rezai & Frederick Van der Ploeg, 2016. "Second-Best Renewable Subsidies to De-Carbonize the Economy: Commitment and the Green Paradox," CESifo Working Paper Series 5721, CESifo.
- van der Ploeg, Frederick & Rezai, Armon, 2016. "Second-Best Renewable Subsidies to De-Carbonize the Economy: Commitment and the Green Paradox," CEPR Discussion Papers 11552, C.E.P.R. Discussion Papers.
- Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
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