Is the Uncertainty about Climate Change too Large for Expected Cost-Benefit Analysis?

被引:0
作者
Richard S. J. Tol
机构
[1] Hamburg University,Center for Marine and Climate Research
[2] Vrije Universiteit,Institute for Environmental Studies
[3] Carnegie Mellon University,Center for Integrated Study of the Human Dimensions of Global Change
来源
Climatic Change | 2003年 / 56卷
关键词
Climate Change; Economic Growth; Marginal Cost; Discount Rate; Base Case;
D O I
暂无
中图分类号
学科分类号
摘要
Cost-benefit analysis is only applicable if the variances of both costs and benefits are finite. In the case of climate change, the variances of the net present marginal costs and benefits of greenhouse gas emission reduction need to be finite. Finiteness is hard, if not impossible to prove. The opposite is easier to establish as one only needs to show that there is one, not impossible representation of the climate change with infinite variance. The paper shows that all relevant current variables of theFUND model have finite variances. However, there is a small chance that climate change reverses economic growth in some regions. In that case, the discount rate becomes negative and the net present marginal benefits of greenhouse gas emission reduction becomes very large. So large, that its variance is unbounded. One could interpret this as an indication that cost-benefit analysis is invalid. Alternatively, one could argue that the infinity is present in both the base case and the policy scenario, and therefore irrelevant; in that interpretation, cost-benefit analysis is a valid tool.
引用
收藏
页码:265 / 289
页数:24
相关论文
共 79 条
[51]  
Teisberg T. J.(undefined)How to Decide if Experts Disagree: Uncertainty Based Choice Rules in Environmental Policy undefined undefined undefined-undefined
[52]  
Peck S. C.(undefined)The Tolerable Windows Approach: Lessons and Limitations undefined undefined undefined-undefined
[53]  
Teisberg T. J.(undefined)Near Term Mitigation Policy for Global Change under Uncertainty: Minimizing the Expected Cost of Meeting Unknown Concentration Thresholds undefined undefined undefined-undefined
[54]  
Petschel-Held G.(undefined)Uncertainty, Short Term Hedging and the TolerableWindow Approach undefined undefined undefined-undefined
[55]  
Schellnhuber H.-J.(undefined)undefined undefined undefined undefined-undefined
[56]  
Bruckner T.(undefined)undefined undefined undefined undefined-undefined
[57]  
Toth F. L.(undefined)undefined undefined undefined undefined-undefined
[58]  
Hasselmann K.(undefined)undefined undefined undefined undefined-undefined
[59]  
Schimmelpfennig D.(undefined)undefined undefined undefined undefined-undefined
[60]  
Tol R. S. J.(undefined)undefined undefined undefined undefined-undefined