The Virtual IELab – an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory

Reyes, Rachel C.; Geschke, Arne; Koning, Arjan de; Wood, Richard; Bulavskaya, Tatyana; Stadler, Konstantin; Bäumen, Hagen Schulte in den; Tukker, Arnold

doi:10.1080/09535314.2017.1317237

Cited by 7 publications

(15 citation statements)

References 42 publications

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“…Using the Global MRIO Lab, a range of existing MRIO frameworks can be updated. Given that the EXIOBASE and WIOD tables are being dealt with in individual articles of this Special Issue (Abd Rahman et al, 2017;Reyes et al, 2017), we demonstrate here how MRIO databases in the structure of the OECD, IDE-JETRO, Global Trade Analysis Project (GTAP) and Eora MRIO tables can be derived as base tables from a common global root classification (Figures 2-5).…”

Section: Flexible User-specific Regional and Sectoral Mrio Structuresmentioning

confidence: 95%

“…(4) In the Global MRIO Lab the two-step procedures were unravelled and re-aligned into a one-step process. This particular feature is discussed in detail in two other articles in this Special Issue (Abd Rahman et al, 2017;Reyes et al, 2017) and will therefore not be dealt with here.…”

Section: Adjusting Mrio Construction Workflowsmentioning

confidence: 99%

“…KRAS and standard deviations tables are already implemented for Eora (Lenzen et al, 2012a;2013). The generation of standard deviation tables for EXIOBASE and WIOD is described in this Special Issue in articles by Reyes et al (2017) and Abd Rahman et al (2017), respectively.…”

Section: Standard Deviationsmentioning

confidence: 99%

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The Global MRIO Lab – charting the world economy

Lenzen

Geschke

Rahman

et al. 2017

Economic Systems Research

Self Cite

108

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We describe the creation of the Global Multi-Region Input-Output (MRIO) Lab, which is a cloud-computing platform offering a collaborative research environment through which participants can use each other's resources to assemble their own individual MRIO versions. The Global MRIO Lab's main purpose is to harness and focus previously disparate resources aimed at compiling large-scale MRIO databases that provide comprehensive representations of interregional trade, economic structure, industrial interdependence, as well as environmental and social impact. Based on the operational Australian Industrial Ecology Lab, a particularly important feature of this cloud environment is a highly detailed regional and sectoral taxonomy called the 'root classification'. The purpose of this root is to serve as a feedstock from which researchers can choose any combination of regions and economic sectors to form a model of the economy that is suitable to address their particular research questions. Thus, the Global MRIO Lab concept enables enhanced flexibility in MRIO database construction whilst at the same time saving resources and avoiding duplication, by sharing time-and labour-intensive tasks amongst multiple research teams. We explain the concept, architecture, development and preliminary results of the Global MRIO Lab, and discuss its ability to continuously deliver some of the most prominent world MRIO databases.

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Section: Flexible User-specific Regional and Sectoral Mrio Structuresmentioning

confidence: 95%

Section: Adjusting Mrio Construction Workflowsmentioning

confidence: 99%

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The Global MRIO Lab – charting the world economy

Lenzen

Geschke

Rahman

et al. 2017

Economic Systems Research

Self Cite

108

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“…; Reyes et al. ). This has helped establish the means for regularly updating global MRIO frameworks, fostering collaboration among researchers around the world, and facilitating global cross‐disciplinary research (Lenzen et al.…”

Section: Evolution Of Multiregional Input‐output Databases and Virtuamentioning

confidence: 98%

Advancements in Input‐Output Models and Indicators for Consumption‐Based Accounting

Malik

McBain

Wiedmann

et al. 2018

J of Industrial Ecology

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The use of global, multiregional input-output (MRIO) analysis for consumption-based (footprint) accounting has expanded significantly over the last decade. Most of the global studies on environmental and social impacts associated with consumption or embodied in international trade would have been impossible without the rapid development of extended MRIO databases. We present an overview of the developments in the field of MRIO analysis, in particular as applied to consumption-based environmental and social footprints. We first provide a discussion of research published on various global MRIO databases and the differences between them, before focusing on the virtual laboratory computing infrastructure for potentially making MRIO databases more accessible for collaborative research, and also for supporting greater sectoral and regional detail. We discuss work that includes a broader range of extensions, in particular the inclusion of social indicators in consumptionbased accounting. We conclude by discussing the need for the development of detailed nested MRIO tables for investigating linkages between regions of different countries, and the applications of the rapidly growing field of global MRIO analysis for assessing a country's performance toward the United Nations Sustainable Development Goals. Keywords:consumption industrial ecology input-output analysis social footprints sustainability assessment virtual laboratoryConflict of interest statement: The authors declare no conflict of interest.

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“…The MRIOLab also includes functions for MRIO analysis. These, however, are not well suited for the analysis of MRIO tables compiled independent of the MRIOLab since the tables can not fully reproduced within the MRIOLab [22,23]. As a consequence of the lack of a generic MRIO analysis toolkit, MRIO analysis today relies on often ad-hoc produced scripts and functions.…”

Section: Current Status For Mrio Analysis Softwarementioning

confidence: 99%

Pymrio – A Python Based Multi-Regional Input-Output Analysis Toolbox

Stadler

2021

JORS

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Pymrio is an open source tool for Environmentally Extended Multi-Regional Input-Output (EE MRIO) analysis developed in Python. It provides a high-level abstraction layer for global EE MRIO databases in order to simplify common EE MRIO data tasks. Among others, Pymrio includes parsers for several openly available EE MRIO databases (EXIOBASE v1 -v3, WIOD, Eora26, OECD-ICIO) as well as methods for production and consumption based accounts calculation, aggregation, stressor origin estimation and visualization. The use of a consistent storage format including meta data and modification history for MRIOs allows to exchange data with other analysis tools, aiming for an increased interoperability of Industrial Ecology analysis software.

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The Virtual IELab – an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory

Cited by 7 publications

References 42 publications

The Global MRIO Lab – charting the world economy

The Global MRIO Lab – charting the world economy

Advancements in Input‐Output Models and Indicators for Consumption‐Based Accounting

Pymrio – A Python Based Multi-Regional Input-Output Analysis Toolbox

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