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), Universitätstrasse 41, 8092 Zurich, Switzerland.
Sci Total Environ. 2021 Feb 10;755(Pt 1):142587. doi: 10.1016/j.scitotenv.2020.142587. Epub 2020 Oct 6.
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.
迈向绿色经济需要详细了解全球价值链的环境影响。环境扩展多区域投入产出(MRIO)分析在提供这些信息方面发挥着关键作用,但当前的数据库在空间(例如 EXIOBASE3)或部门分辨率(例如 Eora26 和 GTAP)以及指标涵盖范围方面存在局限性。在这里,我们提出了一种自动、透明且相对高效的方法来提高现有 MRIO 数据库的分辨率、质量和指标涵盖范围。我们将该方法应用于 EXIOBASE3,通过使用源自 Eora26、FAOSTAT 和先前研究的国家和部门特定份额对每个元素进行加权,从而对有限的空间分辨率进行细分和改进。该解析数据库涵盖了 189 个国家、163 个部门以及 1995 年至 2015 年期间的一系列前沿环境和社会经济指标。我们的改进的重要性通过欧盟 27 国的结果得到了强调,这些结果表明,由于空间细分和区域化评估,欧盟的水资源压力和生物多样性损失足迹显著增加。在 2015 年,欧盟三分之一的水资源压力和一半的生物多样性损失足迹是由 EXIOBASE3 中汇总为世界其他地区的国家造成的。这主要归因于欧盟的粮食进口,分别在埃及和马达加斯加引起了相对较高的水资源压力和生物多样性损失。在第二个示例中,我们使用我们的数据库为绿色经济进展(GEP)衡量框架添加了碳、水资源压力和生物多样性损失足迹。大多数国家都没有实现其环境目标,许多国家由于未来人口的强劲增长,其足迹正在增加。我们的结果表明,全球范围内需要采取更多行动才能迈向绿色经济,特别是通过供应链管理。所附数据库提供了有关全球价值链环境影响的详细信息,以规划更绿色经济的高效战略。