The Virtual IELab – an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory
作者： Rachel C. Reyes , Arne Geschke , Arjan de Koning , Richard Wood , Tatyana Bulavskaya
DOI: 10.1080/09535314.2017.1317237
关键词: Table (database) 、 Virtual Laboratory 、 Constraint (information theory) 、 Data mining 、 Raw data 、 Flexibility (engineering) 、 Replicate 、 Production pipeline 、 Computer science
摘要: ABSTRACTWe explore options to replicate the EXIOBASE2 multi-region input–output (MRIO) database in Virtual IELab cloud-computing laboratory environment. Whereas is constructed using a multi-process reconciliation procedure, we present an alternative compilation technique that uses EXIOBASE2's pre-processed data and final tables reconciling MRIO with conflicting raw information. This approach skips labour-intensive step of detailing harmonising country tables. Adherence metrics reveal EXIOBASE2-based table be considerably less balanced than original but stronger adherence other constraints data. However, these are not comparable statistics due distinctive implementation constraint sets two platforms. IELab's main value-added its flexibility tailoring MRIOs beyond recipe. Finally, global carbon, water material footprints shown comparable...
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