2022
DOI: 10.1038/s41598-022-11522-z
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Quantifying firm-level economic systemic risk from nation-wide supply networks

Abstract: Crises like COVID-19 exposed the fragility of highly interdependent corporate supply networks and the complex production processes depending on them. However, a quantitative assessment of individual companies’ impact on the networks’ overall production is hitherto non-existent. Based on a unique value added tax dataset, we construct the firm-level production network of an entire country at an unprecedented granularity and present a novel approach for computing the economic systemic risk (ESR) of all firms with… Show more

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Cited by 30 publications
(37 citation statements)
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“…It is enlightening to compare the network topology of the so-obtained RSN (blue in Fig. 2 b) with the topologies of the Hungarian supply network (HSN) (orange) (for which the exact topology is known 18 ) and the private communication network between individual people (green) (i.e. not between companies).…”
Section: Resultsmentioning
confidence: 99%
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“…It is enlightening to compare the network topology of the so-obtained RSN (blue in Fig. 2 b) with the topologies of the Hungarian supply network (HSN) (orange) (for which the exact topology is known 18 ) and the private communication network between individual people (green) (i.e. not between companies).…”
Section: Resultsmentioning
confidence: 99%
“…With a reasonable reconstruction of the supply network, RSN, we turn to the quantification of economic systemic risk in the national production network. For this we use the economic systemic risk index (ESRI) as developed in 18 . The underlying principle of the ESRI algorithm is sketched in Fig.…”
Section: Resultsmentioning
confidence: 99%
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