掷骰子
气候变化
社会成本
芯(光纤)
气候政策
气候模式
气候系统
环境科学
计算机科学
环境经济学
计量经济学
经济
数学
统计
生态学
微观经济学
生物
电信
作者
Tianpeng Wang,Fei Teng,Xu Deng,Jun Xie
出处
期刊:One earth
[Elsevier]
日期:2022-07-01
卷期号:5 (7): 767-778
标识
DOI:10.1016/j.oneear.2022.06.005
摘要
Summary
The social cost of carbon (SCC) determines the quantifiable cost (in monetary value) of emitting CO2 and has been employed by policy makers to evaluate the benefits of climate mitigation against the costs of cutting emissions. SCC is generally estimated using integrated assessment models (IAMs), primarily the DICE, FUND, and PAGE models. However, these models often report different SCC estimates. Inconsistent SCCs can lead to over-/underestimation of the costs and benefits of emission reduction, further undermining the effectiveness of climate policies. The reasons behind such inconsistent SCCs, however, remain unclear. Here, we quantitatively decompose two core components of IAMs, climate modules and damage functions, and find that the core reason for SCC disparities lies in differences in climate modules. These differences explain 60%–95% of SCC variations. SCC estimates are more consistent when DICE/FUND/PAGE IAMs are coupled with a reduced-complexity climate module. Our study highlights the importance of considering a common modeling framework by synthesizing state-of-the-art information on climate science to provide more consistent science-based advice to policy makers.
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