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Climate Policy 6, 5 (2006) 1-6

Learning and climate change

Brian C. O'neill, Paul Crutzen, Arnulf Grübler, Minh Ha-Duong 1, Klaus Keller, Charles Kolstad, Jonathan Koomey, Andreas Lange, Michael Obersteiner, Michael Oppenheimer, William Pepper, Warren Sanderson, Michael Schlesinger, Nicolas Treich, Alistair Ulph, Mort Webster, Chris Wilson

(2006)

Learning – i.e. the acquisition of new information that leads to changes in our assessment of uncertainty – plays a prominent role in the international climate policy debate. For example, the view that we should postpone actions until we know more continues to be influential. The latest work on learning and climate change includes new theoretical models, better informed simulations of how learning affects the optimal timing of emissions reductions, analyses of how new information could affect the prospects for reaching and maintaining political agreements and for adapting to climate change, and explorations of how learning could lead us astray rather than closer to the truth. Despite the diversity of this new work, a clear consensus on a central point is that the prospect of learning does not support the postponement of emissions reductions today.

1 :	Centre international de recherche sur l'environnement et le développement (CIRED)
	CIRAD : UMR56 – CNRS : UMR8568 – Ecole des Hautes Etudes en Sciences Sociales (EHESS) – Ecole Nationale des Ponts et Chaussées – Ecole Nationale du Génie Rural des Eaux et Forêts

Discipline

:

Sciences de l'Homme et Société/Economie et finances

Mots-Clés : Learning – Uncertainty – Climate change – Decision analysis

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Contributeur : Minh Ha-Duong <>

Soumis le : Jeudi 5 Mars 2009, 07:00:01

Dernière modification le : Jeudi 5 Mars 2009, 07:00:01