Possible economic impacts of a shutdown of the thermohaline circulation: an application of <Emphasis Type="Italic">FUND</Emphasis>

Climate change can lead to a substantial reduction of the strength of the thermohaline circulation in the world oceans. This is often thought to have severe consequences particularly on the North Atlantic region and Northern and Western Europe. The integrated assessment model FUND is used to estimate the extent of these impacts. The results indicate that, owing to a slower warming (rather than cooling) of the regions most affected by a thermohaline circulation collapse, climate change induced damages in these regions would be smaller in case of a shutdown of the thermohaline circulation. However, even with a thermohaline circulation collapse, the total and marginal impacts of climate change are negative.JEL Classification: Q510, Q540We are grateful to Till Kuhlbrodt for providing the CLIMBER data and to Andre Krebber for processing them. The German Federal Ministry for Education and Research through the INTEGRATION project, the US National Science Foundation through the Center for Integrated Study of the Human Dimensions of Global Change (SBR-9521914) and the Michael Otto Foundation provided welcome financial support.     

Safe Minimum Standards in Dynamic Resource Problems: Conditions for Living on the Edge of Risk

Safe Minimum Standards (SMSs) has been advocated as a policy rule for certain environmental problems where uncertainty about risks and consequences are thought to be profound. This paper explores the rationale for such a policy within both static and dynamic frameworks and derives conditions for when SMS can be summarily dismissed as a policy choice and for when SMS can be defended as an optimal policy based on standard economic criteria. It turns out that these conditions can be checked with quite limited information about damages and risks. In order to analyze the SMSs in a dynamic setting, we develop a method for solving optimal control problems when state space is divided into risky and non-risky sub-sets.