World Input-Output Network.

Production systems, traditionally analyzed as almost independent national systems, are increasingly connected on a global scale. Only recently becoming available, the World Input-Output Database (WIOD) is one of the first efforts to construct the global multi-regional input-output (GMRIO) tables. By...

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Main Authors: Federica Cerina, Zhen Zhu, Alessandro Chessa, Massimo Riccaboni
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4519177?pdf=render
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spelling doaj-27cf3fbf5a4340678abc94e1cae38d732020-11-25T02:12:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01107e013402510.1371/journal.pone.0134025World Input-Output Network.Federica CerinaZhen ZhuAlessandro ChessaMassimo RiccaboniProduction systems, traditionally analyzed as almost independent national systems, are increasingly connected on a global scale. Only recently becoming available, the World Input-Output Database (WIOD) is one of the first efforts to construct the global multi-regional input-output (GMRIO) tables. By viewing the world input-output system as an interdependent network where the nodes are the individual industries in different economies and the edges are the monetary goods flows between industries, we analyze respectively the global, regional, and local network properties of the so-called world input-output network (WION) and document its evolution over time. At global level, we find that the industries are highly but asymmetrically connected, which implies that micro shocks can lead to macro fluctuations. At regional level, we find that the world production is still operated nationally or at most regionally as the communities detected are either individual economies or geographically well defined regions. Finally, at local level, for each industry we compare the network-based measures with the traditional methods of backward linkages. We find that the network-based measures such as PageRank centrality and community coreness measure can give valuable insights into identifying the key industries.http://europepmc.org/articles/PMC4519177?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Federica Cerina
Zhen Zhu
Alessandro Chessa
Massimo Riccaboni
spellingShingle Federica Cerina
Zhen Zhu
Alessandro Chessa
Massimo Riccaboni
World Input-Output Network.
PLoS ONE
author_facet Federica Cerina
Zhen Zhu
Alessandro Chessa
Massimo Riccaboni
author_sort Federica Cerina
title World Input-Output Network.
title_short World Input-Output Network.
title_full World Input-Output Network.
title_fullStr World Input-Output Network.
title_full_unstemmed World Input-Output Network.
title_sort world input-output network.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Production systems, traditionally analyzed as almost independent national systems, are increasingly connected on a global scale. Only recently becoming available, the World Input-Output Database (WIOD) is one of the first efforts to construct the global multi-regional input-output (GMRIO) tables. By viewing the world input-output system as an interdependent network where the nodes are the individual industries in different economies and the edges are the monetary goods flows between industries, we analyze respectively the global, regional, and local network properties of the so-called world input-output network (WION) and document its evolution over time. At global level, we find that the industries are highly but asymmetrically connected, which implies that micro shocks can lead to macro fluctuations. At regional level, we find that the world production is still operated nationally or at most regionally as the communities detected are either individual economies or geographically well defined regions. Finally, at local level, for each industry we compare the network-based measures with the traditional methods of backward linkages. We find that the network-based measures such as PageRank centrality and community coreness measure can give valuable insights into identifying the key industries.
url http://europepmc.org/articles/PMC4519177?pdf=render
work_keys_str_mv AT federicacerina worldinputoutputnetwork
AT zhenzhu worldinputoutputnetwork
AT alessandrochessa worldinputoutputnetwork
AT massimoriccaboni worldinputoutputnetwork
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