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A highly resolved MRIO database for analyzing environmental footprints and Green Economy Progress

机译:用于分析环境足迹和绿色经济进展的高度解决的MRIO数据库

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摘要

Moving towards a greener economy requires detailed information on the environmental impacts of global value chains. Environmentally-extended multi-regional input-output (MRIO) analysis plays a key role in providing this information, but current databases are limited in their spatial (e.g. EXIOBASE3) or sectoral resolution (e.g. Eora26 and GTAP) as well as their indicator coverage. Here, we present an automated, transparent, and comparably time-efficient approach to improve the resolution, quality, and indicator coverage of an existing MRIO database. Applied on EXIOBASE3, we disaggregate and improve the limited spatial resolution by weighting each element with country and sector specific shares derived from Eora26, FAOSTAT, and previous studies. The resolved database covers 189 countries, 163 sectors, and a cutting-edge set of environmental and socio-economic indicators from the years 1995 to 2015. The importance of our improvements is highlighted by the EU-27 results, which reveal a significant increase in the EU's water stress and biodiversity loss footprint as a result of the spatial disaggregation and regionalized assessment. In 2015, a third of the EU's water stress and half of its biodiversity loss footprint was caused in the countries aggregated as rest of the world in EXIOBASE3. This was mainly attributed to the EU's food imports, which induce comparably high water stress and biodiversity loss in Egypt and Madagascar, respectively. In a second example, we use our database to add carbon, water stress and biodiversity loss footprints to the Green Economy Progress (GEP) Measurement Framework. Most countries have not achieved their environmental target and many countries, facing strong future population growth, show increasing footprints. Our results demonstrate that far more action is needed to move towards a greener economy globally, especially through supply chain management. The attached database provides detailed information on the environmental impacts of global value chains to plan efficient strategies for a greener economy.
机译:走向更环保的经济需要有关全球价值链的环境影响的详细信息。环境扩展的多区域输入输出(MRIO)分析在提供此信息方面发挥着关键作用,但目前的数据库在其空间(例如EXIOBASE3)或部门分辨率(例如EORA26和GTAP)以及其指标覆盖范围内有限。在这里,我们提出了一种自动化,透明,较较少的方法来提高现有MRIO数据库的分辨率,质量和指示符覆盖范围。在ExioBase3上应用,我们通过加权来自EORA26,FAOSTAT和以前研究的国家和部门特定股份加权每个元素,分解和改善有限的空间分辨率。已解决的数据库涵盖从1995年至2015年到2015年的189个国家,163个部门和一系列尖端的环境和社会经济指标集。欧盟-27结果强调了我们改进的重要性,揭示了大幅增加由于空间分类和区域化评估,欧盟的水分压力和生物多样性损失足迹。 2015年,欧盟水分压力的三分之一是其生物多样性损失足迹的一半是在exioBase3的世界其他国家聚合的国家造成的。这主要归因于欧盟的粮食进口,分别诱导埃及和马达加斯加的相当高的水分压力和生物多样性损失。在第二个例子中,我们使用我们的数据库为绿色经济进展(GEP)测量框架添加碳,水分压力和生物多样性损失足迹。大多数国家没有实现其环境目标和许多国家面临强大的未来人口增长,表现出增加的占地面积。我们的结果表明,在全球范围内迈向更环保的经济需要更多的行动,特别是通过供应链管理。随附的数据库提供有关全球价值链环境影响的详细信息,以规划更环保的经济性的有效策略。

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  • 来源
    《The Science of the Total Environment》 |2021年第1期|142587.1-142587.14|共14页
  • 作者单位

    Swiss Federal Institute of Technology ETH Zurich Department of Civil Environmental and Geomatic Engineering Institute of Environmental Engineering Ecological Systems Design John-von- Neumann-Weg 9 8093 Zurich Switzerland Swiss Federal Institute of Technology ETH Zurich Department of Humanities Social and Political Sciences Institute of Science Technology and Policy (ISTP) Universitaetstrasse 41 8092 Zurich Switzerland;

    Swiss Federal Institute of Technology ETH Zurich Department of Civil Environmental and Geomatic Engineering Institute of Environmental Engineering Ecological Systems Design John-von- Neumann-Weg 9 8093 Zurich Switzerland Swiss Federal Institute of Technology ETH Zurich Department of Humanities Social and Political Sciences Institute of Science Technology and Policy (ISTP) Universitaetstrasse 41 8092 Zurich Switzerland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Environmental footprints; Supply chain analysis; Multi-regional input-output (MRIO) analysis; Carbon footprint; Water stress footprint; Biodiversity loss;

    机译:环境足迹;供应链分析;多区域输入输出(MRIO)分析;碳足迹;水分应力占地面积;生物多样性损失;

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