TY - JOUR
T1 - The Virtual IELab : an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory
AU - Reyes, Rachel C.
AU - Geschke, Arne
AU - de Koning, Arjan
AU - Wood, Richard
AU - Bulavskaya, Tatyana
AU - Stadler, Konstantin
AU - Schulte In den Bäumen, Hagen
AU - Tukker, Arnold
PY - 2017
Y1 - 2017
N2 - We explore options to replicate the EXIOBASE2 multi-region input- output (MRIO) database in the Virtual IELab cloud-computing laboratory environment. Whereas EXIOBASE2 is constructed using a multi-process reconciliation procedure, we present an alternative compilation technique that uses EXIOBASE2's pre-processed data and final tables in reconciling the IELab MRIO with conflicting raw data information. This approach skips the labour-intensive step of detailing and harmonising country tables. Adherence metrics reveal the EXIOBASE2-based IELab table to be considerably less balanced than the original but with stronger adherence to other constraints data. However, these metrics are not comparable to the original EXIOBASE2 statistics due to the distinctive implementation of constraint sets in the two platforms. IELab's main value-added is its flexibility in tailoring EXIOBASE2-based MRIOs beyond the original recipe. Finally, IELab's global carbon, water and material footprints are shown to be comparable with previously reported resource footprints. In contrast, deviations in land footprints warrant further investigation.
AB - We explore options to replicate the EXIOBASE2 multi-region input- output (MRIO) database in the Virtual IELab cloud-computing laboratory environment. Whereas EXIOBASE2 is constructed using a multi-process reconciliation procedure, we present an alternative compilation technique that uses EXIOBASE2's pre-processed data and final tables in reconciling the IELab MRIO with conflicting raw data information. This approach skips the labour-intensive step of detailing and harmonising country tables. Adherence metrics reveal the EXIOBASE2-based IELab table to be considerably less balanced than the original but with stronger adherence to other constraints data. However, these metrics are not comparable to the original EXIOBASE2 statistics due to the distinctive implementation of constraint sets in the two platforms. IELab's main value-added is its flexibility in tailoring EXIOBASE2-based MRIOs beyond the original recipe. Finally, IELab's global carbon, water and material footprints are shown to be comparable with previously reported resource footprints. In contrast, deviations in land footprints warrant further investigation.
KW - input, output analysis
KW - international trade
UR - https://hdl.handle.net/1959.7/uws:58522
U2 - 10.1080/09535314.2017.1317237
DO - 10.1080/09535314.2017.1317237
M3 - Article
SN - 0953-5314
VL - 29
SP - 209
EP - 233
JO - Economic Systems Research
JF - Economic Systems Research
IS - 2
ER -