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  A scenario-based method for projecting multi-regional input-output tables

Beaufils, T., Wenz, L. (2021 online): A scenario-based method for projecting multi-regional input-output tables. - Economic Systems Research.
https://doi.org/10.1080/09535314.2021.1952404

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 Urheber:
Beaufils, Timothé1, Autor              
Wenz, Leonie1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Zusammenfassung: Multi-regional input–output (MRIO) data are a powerful tool to analyze complex interdependencies in the international trade and supply network. Their field of application is however limited by the fact that MRIO datasets are only available for past years whereas the structure of the international trade network has been found to change profoundly over time. We here propose the SPIN method, a simple and flexible algorithm that can project MRIO tables into the future based on transparent scenarios of how gross domestic product and trade relations may evolve in that time. By combining well-established input–output techniques, namely the Leontief quantity model and an RAS-type algorithm, our method provides a straightforward mean to convert quantitative scenarios of the world economy into consistent MRIO tables. We illustrate the functioning of the SPIN method by projecting the evolution of the trade network after the 2008 financial crisis under different alternative scenarios of recovery.

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 Datum: 2021-06-182021-07-31
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: Organisational keyword: RD4 - Complexity Science
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Economics
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Regional keyword: Global
Model / method: Open Source Software
MDB-ID: yes - 3206
DOI: 10.1080/09535314.2021.1952404
 Art des Abschluß: -

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Projektname : Impact of Intensified Weather Extremes on Europe’s Economy (ImpactEE)
Grant ID : Az.: 93350
Förderprogramm : Europe and Global Challenges
Förderorganisation : VolkswagenStiftung

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Titel: Economic Systems Research
Genre der Quelle: Zeitschrift, SCI, Scopus
 Urheber:
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/economic-systems-research
Publisher: Taylor & Francis