Bjelle Eivind Lekve, Többen Johannes, Stadler Konstantin, Kastner Thomas, Theurl Michaela C, Erb Karl-Heinz, Olsen Kjartan-Steen, Wiebe Kirsten S, Wood Richard
1Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
2Institute of Social Ecology, University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna, Austria.
J Econ Struct. 2020;9(1):14. doi: 10.1186/s40008-020-0182-y. Epub 2020 Feb 13.
Multiregional input-output (MRIO) databases are used to analyze the impact of resource use and environmental impacts along global supply chains. To accurately account for pressures and impacts that are highly concentrated in specific sectors or regions of the world, such as agricultural and land-use-related impacts, MRIO databases are being fueled by increasingly more detailed data. To date no MRIO database exists which couples a high level of harmonized sector detail with high country resolution. Currently available databases either aggregate minor countries into rest-of-the-world (WIOD and EXIOBASE 3), or the high country resolution is achieved at the cost of non-harmonized or lower sectoral detail (Eora, OECD-ICIO or the GTAP-MRIO). This aggregation can cause potentially significant differences in environmental and socioeconomic impact calculations. In this paper, we describe the development of an EXIOBASE 3 variant that expands regional coverage from 49 regions to 214 countries, while keeping the high and harmonized sectoral detail. We show the relevance of disaggregation for land-use accounting. Previous rest-of-the-world regions supply one-third of global land, which is used to produce a large range of different products under very different levels of productivity. We find that the aggregation of regions leads to a difference in the balance of land embodied in trade of up to 6% and a difference of land embodied in imports of up to 68% for individual countries and up to 600% for land-use-relevant sectors. Whilst the database can still be considered experimental, it is expected to increase the accuracy of estimates for environmental footprint studies of the original EXIOBASE countries, and provides the first estimates for the countries in the previous rest-of-the world.
多区域投入产出(MRIO)数据库用于分析全球供应链中资源利用和环境影响的作用。为了准确计算高度集中在世界特定部门或地区的压力和影响,如农业和与土地利用相关的影响,MRIO数据库正由越来越详细的数据驱动。迄今为止,尚无一个MRIO数据库能将高水平的统一部门细节与高分辨率的国家数据相结合。目前可用的数据库要么将小国汇总为世界其他地区(世界投入产出数据库和EXIOBASE 3),要么以不统一或较低的部门细节为代价来实现高分辨率的国家数据(Eora、经合组织国际投入产出表或全球贸易分析项目 - MRIO)。这种汇总可能会在环境和社会经济影响计算中造成潜在的显著差异。在本文中,我们描述了EXIOBASE 3变体的开发,该变体将区域覆盖范围从49个地区扩大到214个国家,同时保持高水平的统一部门细节。我们展示了分解对于土地利用核算的相关性。以前的世界其他地区提供了全球三分之一的土地,这些土地在非常不同的生产力水平下用于生产大量不同的产品。我们发现,区域汇总导致个别国家贸易中体现的土地平衡差异高达6%,进口中体现的土地差异高达68%,与土地利用相关的部门差异高达600%。虽然该数据库仍可被视为实验性的,但预计它将提高对原始EXIOBASE国家环境足迹研究估计的准确性,并为以前世界其他地区的国家提供首次估计。