Headline Environmental Indicators Revisited with the Global Multi-Regional Input-Output Database EXIOBASE

摘要: Summary Environmentally extended multiregion input-output (EEMRIO) databases are used to quantify numerous environmental pressures and impacts from a consumption perspective. However, for targeted communication with decision makers, large sets of impact indicators unfavorable. Small headline have been proposed guide policy, but these may not cover all relevant aspects impact. The aim our study was evaluate the extent which set four (material, land, water, carbon) is representative total embedded in an EEMRIO database. We also principal component analysis combined linear regression investigate good candidates supplement this indicator set, using 119 linked database, EXIOBASE. found that covered 59.9% variance product-region rankings among indicators, carbon land already explaining 57.4%. Five additional (marine eco-toxicity, terrestrial photochemical oxidation, acidification, eutrophication) were needed 95% variance. In comparison, statistically optimal seven explained as well. Our findings imply there (1) significant statistical redundancy (2) considerable share caused by other indicators. results can be further optimize policy.