Scientific Reports (May 2022)

Quantifying firm-level economic systemic risk from nation-wide supply networks

  • Christian Diem,
  • András Borsos,
  • Tobias Reisch,
  • János Kertész,
  • Stefan Thurner

DOI
https://doi.org/10.1038/s41598-022-11522-z
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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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 within the network. We demonstrate that 0.035% of companies have extraordinarily high ESR, impacting about 23% of the national economic production should any of them default. Firm size cannot explain the ESR of individual companies; their position in the production networks matters substantially. A reliable assessment of ESR seems impossible with aggregated data traditionally used in Input-Output Economics. Our findings indicate that ESR of some extremely risky companies can be reduced by introducing supply chain redundancies and changes in the network topology.