no code implementations • 22 Feb 2023 • Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner
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.
no code implementations • 17 Feb 2023 • Johannes Stangl, András Borsos, Christian Diem, Tobias Reisch, Stefan Thurner
We determined that for an emissions reduction of 20%, the most effective strategy leads to losses of about 2% of jobs and 2% of economic output.
no code implementations • 1 Dec 2021 • Abhijit Chakraborty, Tobias Reisch, Christian Diem, Stefan Thurner
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.
no code implementations • 11 Oct 2021 • Tobias Reisch, Georg Heiler, Christian Diem, Stefan Thurner
In particular, we are able to identify the high systemic risk companies.
no code implementations • 15 Apr 2021 • Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner
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.