World Input-Output Network

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: Cerina, Federica, Zhu, Zhen, Chessa, Alessandro, Riccaboni, Massimo
Format: Online
Language:English
Published: Public Library of Science 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4519177/
id pubmed-4519177
recordtype oai_dc
spelling pubmed-45191772015-07-31 World Input-Output Network Cerina, Federica Zhu, Zhen Chessa, Alessandro Riccaboni, Massimo Research Article 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. Public Library of Science 2015-07-29 /pmc/articles/PMC4519177/ /pubmed/26222389 http://dx.doi.org/10.1371/journal.pone.0134025 Text en © 2015 Cerina et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Cerina, Federica
Zhu, Zhen
Chessa, Alessandro
Riccaboni, Massimo
spellingShingle Cerina, Federica
Zhu, Zhen
Chessa, Alessandro
Riccaboni, Massimo
World Input-Output Network
author_facet Cerina, Federica
Zhu, Zhen
Chessa, Alessandro
Riccaboni, Massimo
author_sort Cerina, Federica
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
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.
publisher Public Library of Science
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4519177/
_version_ 1613253740293259264

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