A flexible adaptation of the WIOD database in a virtual laboratory

作者: Muhammad Daaniyall Abd Rahman , Bart Los , Arne Geschke , Yanyan Xiao , Keiichiro Kanemoto

DOI: 10.1080/09535314.2017.1318115

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摘要: ABSTRACTThe World Input-Output Database provides a time series of world input–output tables (WIOTs) that have been used for example to understand the manifold effects increased integration markets through international trade. In order enhance flexibility research on global trade issues using WIOD, we implement WIOT workflow in collaborative, cloud-based virtual laboratory environment. We demonstrate lab-based adaptation WIOD is able (a) continuously create and update versions WIOTs timely, consistent, cost-effective way, (b) original information with accompanying standard deviations, (c) enable flexible re-casting entire into user-specific geographical sectoral classifications.

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