Very little. A plethora of integrated assessment models (IAMs) have been constructed and used to estimate the social cost of carbon (SCC) and evaluate alternative abatement policies. These models have crucial flaws that make them close to useless as tools for policy analysis: certain inputs (e. g., the discount rate) are arbitrary, but have huge effects on the SCC estimates the models produce; the models' descriptions of the impact of climate change are completely ad hoc, with no theoretical or empirical foundation; and the models can tell us nothing about the most important driver of the SCC, the possibility of a catastrophic climate outcome. IAM-based analyses of climate policy create a perception of knowledge and precision, but that perception is illusory and misleading.
机构:
North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USANorth Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA
Peng, Ge
Matthews, Jessica L.
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North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USANorth Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA
Matthews, Jessica L.
Wang, Muyin
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NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USA
Univ Washington, Seattle, WA 98115 USANorth Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA
Wang, Muyin
Vose, Russell
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NOAA, Natl Ctr Environm Informat, Asheville, NC 28801 USANorth Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA
Vose, Russell
Sun, Liqiang
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North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USANorth Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA
机构:
Arizona State Univ, Dept Psychol, 950 S McAllister Ave, Tempe, AZ 85287 USAArizona State Univ, Dept Psychol, 950 S McAllister Ave, Tempe, AZ 85287 USA