Reducing the variation of environmental footprint estimates based on multiregional input–output databases
Reducing the variation of environmental footprint estimates based on multiregional input–output databases
复制标题
基于多区域投入产出数据库减少环境足迹估算的变化
DOI：
10.1108/sampj-01-2014-0006
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
H. Wilting
中科院分区：
文献类型：
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作者：
R. Hoekstra;B. Edens;Daan B. Zult;H. Wilting
目的-本文的目的是研究减少基于多区域投入产出（MRIO）数据库的环境足迹估计的变化。来自各种MRIO数据库的足迹估计有时差异很大。因此，关于足迹的绝对水平或趋势的结论可能不一致。这些差异的来源可归因于足迹计算的三个阶段：数据准备、磁共振成像和成像观测数据库建设和足迹计算方面的差异。设计/方法/方式-本文提供了一个文献综述和细分的基础上MRIO数据库的足迹计算。基于这些见解，制定了导致足迹估计变化较小的策略。结果-收敛的足迹估计需要加强学术界之间的合作，统计学家之间和学者和统计学家。独创性/价值-减少足迹估计的变化是一个重大挑战。这家伙
Purpose – The purpose of this paper is to study reducing the variation of environmental footprint estimates based on multiregional input–output (MRIO) databases. Footprint estimates from various MRIO databases sometimes vary significantly. As a result, conclusions about the absolute levels or trends of a footprint may be inconsistent. The sources of these variations are attributable to three phases in the footprint calculations: differences in data preparation, MRIO database construction and footprint calculation. Design/methodology/approach – This paper provides a literature overview and a breakdown of the computation of footprints based on MRIO database. Based on these insights, strategies that lead to lower variation in footprint estimates are formulated. Findings – Convergence of footprint estimates require enhanced cooperation amongst academics, among statisticians and between academics and statisticians. Originality/value – Reducing the variation in footprint estimates is a major challenge. This pap...