Climate feedbacks on the terrestrial biosphere and the economics of climate policy : an application of Fund

Previous versions of the FUND model assumed, like many integrated assessment models, that the carbon cycle is independent of climate change. I here introduce a feedback through which warming leads to higher net emissions. This increases the atmospheric concentration of carbon dioxide in the year 2100 by 100 (20-200) ppm. This leads to a higher estimate of the Pigou tax. The benefit of emission reduction now includes the direct benefits of lower emissions as well as the indirect benefits of a smaller feedback, but the latter effect is small. For any given stabilization target, abatement costs are substantially higher with the climate feedback than without. Abatement costs become sensitive to assumptions about climate change. Non-CO2 emission reduction becomes essential for meeting CO2 concentration targets. For pessimistic assumptions about the strength of the feedback, model results (for the 21st century) become sensitive to small variations in parameters.

[1]  Charles D. Kolstad,et al.  The simple analytics of greenhouse gas emission intensity reduction targets , 2005 .

[2]  R. Tol,et al.  Environmental accounts for the republic of Ireland: 1990-2005 , 2008 .

[3]  An emission intensity protocol for climate change: An application of FUND , 2004 .

[4]  M. Schlesinger,et al.  Comparing impacts across climate models , 2000 .

[5]  R. Tol.  Equitable Cost-Benefit Analysis of Climate Change , 1999 .

[6]  J. Edmonds,et al.  Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations , 2007 .

[7]  J. Kasting,et al.  Optimal reductions in CO2 emissions. , 1997, Energy policy.

[8]  Iulia Siedschlag,et al.  Is FDI into China Crowding Out the FDI into the European Union , 2008 .

[9]  M. Weitzman,et al.  On Modeling and Interpreting the Economics of Catastrophic Climate Change , 2009, The Review of Economics and Statistics.

[10]  R. Dickinson,et al.  Couplings between changes in the climate system and biogeochemistry , 2007 .

[11]  F. Joos,et al.  Correcting the carbon cycle representation: How important is it for the economics of climate change? , 1999 .

[12]  H. Hotelling.  The economics of exhaustible resources , 1931, Journal of Political Economy.

[13]  Richard S. J. Tol,et al.  Multi-Gas Emission Reduction for Climate Change Policy: An Application of Fund , 2006 .

[14]  J. Edmonds,et al.  The economic implications of carbon cycle uncertainty , 2006 .

[15]  R. Tol,et al.  Environmental accounts for the Republic of Ireland , 2008 .

[16]  R. Tol.  Spatial and Temporal Efficiency in Climate Policy: Applications of FUND , 1999 .

[17]  F. Ruane,et al.  Location Choices of the Pharmaceutical Industry in Europe after 1992 , 2007 .

[18]  R. Voss,et al.  Climate Dynamics �2001) 18: 189±202 Ó Springer-Verlag 2001 , 2000 .

[19]  M. Schlesinger,et al.  A sequential-decision strategy for abating climate change , 1992, Nature.

[20]  Richard S.J. Tol,et al.  The marginal damage costs of carbon-dioxide emissions’ , 2005 .

[21]  R. Tol.  Estimates of the Damage Costs of Climate Change, Part II. Dynamic Estimates , 2002 .

[22]  J. Walsh,et al.  Tax Structure and Female Labour Market Participation: Evidence from Ireland , 2007, SSRN Electronic Journal.

[23]  R. Tol.  Estimates of the Damage Costs of Climate Change. Part 1: Benchmark Estimates , 2002 .

[24]  Richard S. J. Tol,et al.  Welfare specifications and optimal control of climate change: an application of fund , 2002 .

[25]  K. Hasselmann,et al.  Transport and storage of CO2 in the ocean ——an inorganic ocean-circulation carbon cycle model , 1987 .