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Estimating the impact of supply chain network contagion on financial stability
Within a multi-layer network framework we define a financial systemic risk index (FSRI) for every firm, quantifying these expected financial losses caused by its own- and all the secondary defaulting loans caused by supply chain network (SCN) shock propagation.
Estimating the loss of economic predictability from aggregating firm-level production networks
Using a nearly complete nationwide FPN, containing 243, 399 Hungarian firms with 1, 104, 141 supplier-buyer-relations we self-consistently compare production losses on the aggregated industry-level production network (IPN) and the granular FPN.
Firm-level supply chains to minimize decarbonization unemployment and economic losses
We show that for an emission-reduction of 20% the most effective strategy leads to losses of about 2% of jobs and 2% of economic output.
Propagation of disruptions in supply networks of essential goods: A population-centered perspective of systemic risk
We demonstrate the method on a large food SN of a European country including 22, 938 business premises, 44, 355 supply links and 116 local administrative districts.
Inequality in economic shock exposures across the global firm-level supply network
Using global supply network data on the firm-level, we present a method to estimate a country's exposure to direct and indirect economic losses caused by the failure of a company in another country.
Inferring supply networks from mobile phone data to estimate the resilience of a national economy
In particular, we are able to identify the high systemic risk companies.
Quantifying firm-level economic systemic risk from nation-wide supply networks
While knowing the impact of individual companies on national economies is a prerequisite for efficient risk management, the quantitative assessment of the involved economic systemic risks (ESR) is hitherto practically non-existent, mainly because of a lack of fine-grained data in combination with coherent methods.
