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

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.

 

Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner, Quantifying firm-level economic systemic risk from nation-wide supply networks, Scientific Reports 12 (7719) (2022)

Christian Diem, Associate Faculty at the Complexity Science Hub

Christian Diem

Andras Borsos © Verena Ahne

András Borsos

Tobias Reisch © Verena Ahne

Tobias Reisch

Janos Kertesz @ private, member of External Faculty at the Complexity Science Hub

János Kertész

Stefan Thurner @ Franziska Liehl, President of the Complexity Science Hub

Stefan Thurner

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