Using network science to quantify economic disruptions in regional input-output networks

Show simple item record Harvey, EP en O'Neale, Dion en 2020-08-18T03:35:25Z en 2019-10-28 en
dc.identifier.citation Arxiv (1910.12498v1). 28 Oct 2019. 13 pages en
dc.identifier.uri en
dc.description.abstract Input Output (IO) tables provide a standardised way of looking at monetary flows between all industries in an economy. IO tables can be thought of as networks - with the nodes being different industries and the edges being the flows between them. We develop a network-based analysis to consider a multi-regional IO network at regional and subregional level within a country. We calculate both traditional matrix-based IO measures (e.g. 'multipliers') and new network theory-based measures at this higher spatial resolution. We contrast these methods with the results of a disruption model applied to the same IO data in order to demonstrate that betweenness centrality gives a good indication of flow on economic disruption, while eigenvector-type centrality measures give results comparable to traditional IO multipliers.We also show the effects of treating IO networks at different levels of spatial aggregation. en
dc.relation.ispartof Arxiv en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
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dc.subject physics.soc-ph en
dc.subject physics.soc-ph en
dc.subject econ.GN en
dc.subject q-fin.EC en
dc.title Using network science to quantify economic disruptions in regional input-output networks en
dc.type Report en
dc.rights.holder Copyright: The authors en en
dc.rights.accessrights en
pubs.subtype Working Paper en
pubs.elements-id 785110 en Science en Physics en
pubs.arxiv-id 1910.12498 en
pubs.number 1910.12498v1 en
pubs.record-created-at-source-date 2020-08-18 en

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