Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments
Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments
复制标题
DOI：
10.1080/09535314.2017.1350831
复制
发表时间：
2018-01
影响因子：
2.5
通讯作者：
H. Wieland;S. Giljum;M. Bruckner;Anne Owen;Richard Wood
中科院分区：
文献类型：
--
作者：
H. Wieland;S. Giljum;M. Bruckner;Anne Owen;Richard Wood
摘要最近的实证评估表明，使用各种多区域输入-输出（MRIO）数据库计算的足迹指标会产生偏离的结果。在本文中，我们提出了一种新的方法，称为结构生产层分解（SPLD），补充现有的结构分解方法。SPLD能够区分技术矩阵中特定部分产生的影响，例如贸易区块与国内区块，同时仍然允许将各种影响与整个区域足迹联系起来。以2011年欧盟28国的碳足迹为例，分析了EXIOBASE、Eora、GTAP和WIOD之间的差异。所有MRIO数据库都使用相同的环境数据。在所有模型比较中，国内区块的变化对碳足迹的影响比贸易区块的变化更大。研究结果为MRIO开发人员提供了丰富的信息，并与政策制定者设计针对产品供应链沿着特定阶段的气候政策措施有关。
ABSTRACT Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.