碳足迹
足迹
蒙特卡罗方法
标准差
计算机科学
计量经济学
大偏差理论
统计
数学
温室气体
生态学
古生物学
生物
作者
Manfred Lenzen,Richard Wood,Thomas Wiedmann
标识
DOI:10.1080/09535311003661226
摘要
This paper reviews and demonstrates methods available for estimating standard deviations for carbon multipliers in a multi-regional input–output (MRIO) framework. We attempt to capture all possible variations of underlying data and calculation procedures in a global MRIO model constructed with particular focus on the UK. We consider these variations to be random, and determine the stochastic variation of the whole MRIO system using Monte Carlo techniques. 5000 simulation runs were carried out to determine the standard deviations of multipliers. From these, the standard deviations of components of the UK's carbon footprint were estimated using error propagation. We estimate an 89% probability that the UK's carbon footprint has increased between 1994 and 2004.
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