2019/10/28 by Emily Harvey, Emily P. Harvey, Harvey, Emily P. +3
Economics, Econometrics and Finance · Physics and Astronomy · #Complex Network Analysis Techniques #Economic and Technological Innovation #FOS: Economics and business #FOS: Physical sciences #General Economics (econ.GN) #Physics and Society (physics.soc-ph) #Regional resilience and development #econ.GN #physics.soc-ph #q-fin.EC
paper · pdf · doi:10.48550/arxiv.1910.12498
arxiv created 2019/10/28 · openalex publication_date 2019/10/28 · arxiv updated 2019/10/29 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
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.