Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract The social cost of carbon -or marginal damage caused by an additional ton of carbon dioxide emissions -has been estimated by a U.S. government working group at $21 in 2010. That calculation, however, omits many of the biggest risks associated with climate change, and downplays the impact of our current emissions on future generations. Our reanalysis explores the effects of uncertainty about climate sensitivity, the shape of the damage function, and the discount rate. We show that the social cost of carbon is uncertain across a broad range, and could be much higher than $21. In our worst case, it could be almost $900 in 2010, rising to $1,500 in 2050.
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The social cost of carbon -or marginal damage caused by an additional ton of carbon dioxide emissions -has been estimated by a U.S. government working group at $21/tCO 2 in 2010. That calculation, however, omits many of the biggest risks associated with climate change, and downplays the impact of current emissions on future generations. Our reanalysis explores the effects of uncertainty about climate sensitivity, the shape of the damage function, and the discount rate. We show that the social cost of carbon is uncertain across a broad range, and could be much higher than $21/tCO 2 . In our case combining high climate sensitivity, high damages, and a low discount rate, the social cost of carbon could be almost $900/tCO 2 in 2010, rising to $1,500/tCO 2 in 2050.
In a global climate policy debate fraught with differing understandings of right and wrong, the importance of making transparent the ethical assumptions used in climate-economics models cannot be overestimated. Negishi weighting is a key ethical assumption in climate-economics models, but it is virtually unknown to most model users. Negishi weights freeze the current distribution of income between world regions; without this constraint, IAMs that maximize global welfare would recommend an equalization of income across regions as part of their policy advice. With Negishi weights in place, these models instead recommend a course of action that would be optimal only in a world in which global income redistribution cannot and will not take place. This article describes the Negishi procedure and its origin in theoretical and applied welfare economics, and discusses the policy implications of the presentation and use of Negishi-weighted model results, as well as some alternatives to Negishi weighting in climate-economics models.
This paper describes a new model, Climate and Regional Economics of Development (CRED), which is designed to analyze the economics of climate and development choices. Its principal innovations are the treatment of global equity, calculation of the optimum interregional flows of resources, and use of McKinsey marginal abatement cost curves to project the cost of mitigation. The model shows more equitable scenarios have better climate outcomes; the challenge of climate policy is to persuade high-income countries to accept the need for both international equity and climate protection.
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