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

Emily P. Harvey and Dion R. J. O'Neale

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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.

Date: 2019-10
New Economics Papers: this item is included in nep-hme and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1910.12498

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