Companies under stress: the impact of shocks on the production network
In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies from Slovenia right after the financial crisis of 2008. The processed data spans for 8 years and covers the transaction history as well as performance i...
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Published in | EPJ data science Vol. 10; no. 1; p. 57 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
09.12.2021
Springer Nature B.V SpringerOpen |
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Abstract | In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies from Slovenia right after the financial crisis of 2008. The processed data spans for 8 years and covers the transaction history as well as performance indicators and various metadata of the companies. We define sales shocks at different levels, and identify companies impacted by them. Next we investigate stress, the potential immediate upstream and downstream impact of a shock within the production network. We base our main findings on a matched pairs analysis of stressed companies. We find that both shock and stress are associated with reporting bankruptcy in the future and that stress foremost impacts the future sales of customers. Furthermore, we find evidence that stress not only results in performance losses but the reconfiguration of the production network as well. We show that stressed companies actively seek for new trading partners, and that these new links often share the industry of the shocked company. These results suggest that both stressed customers and suppliers react quickly to stress and adjust their trading relationships. |
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AbstractList | In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies from Slovenia right after the financial crisis of 2008. The processed data spans for 8 years and covers the transaction history as well as performance indicators and various metadata of the companies. We define sales shocks at different levels, and identify companies impacted by them. Next we investigate stress, the potential immediate upstream and downstream impact of a shock within the production network. We base our main findings on a matched pairs analysis of stressed companies. We find that both shock and stress are associated with reporting bankruptcy in the future and that stress foremost impacts the future sales of customers. Furthermore, we find evidence that stress not only results in performance losses but the reconfiguration of the production network as well. We show that stressed companies actively seek for new trading partners, and that these new links often share the industry of the shocked company. These results suggest that both stressed customers and suppliers react quickly to stress and adjust their trading relationships. Abstract In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies from Slovenia right after the financial crisis of 2008. The processed data spans for 8 years and covers the transaction history as well as performance indicators and various metadata of the companies. We define sales shocks at different levels, and identify companies impacted by them. Next we investigate stress, the potential immediate upstream and downstream impact of a shock within the production network. We base our main findings on a matched pairs analysis of stressed companies. We find that both shock and stress are associated with reporting bankruptcy in the future and that stress foremost impacts the future sales of customers. Furthermore, we find evidence that stress not only results in performance losses but the reconfiguration of the production network as well. We show that stressed companies actively seek for new trading partners, and that these new links often share the industry of the shocked company. These results suggest that both stressed customers and suppliers react quickly to stress and adjust their trading relationships. Abstract In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies from Slovenia right after the financial crisis of 2008. The processed data spans for 8 years and covers the transaction history as well as performance indicators and various metadata of the companies. We define sales shocks at different levels, and identify companies impacted by them. Next we investigate stress, the potential immediate upstream and downstream impact of a shock within the production network. We base our main findings on a matched pairs analysis of stressed companies. We find that both shock and stress are associated with reporting bankruptcy in the future and that stress foremost impacts the future sales of customers. Furthermore, we find evidence that stress not only results in performance losses but the reconfiguration of the production network as well. We show that stressed companies actively seek for new trading partners, and that these new links often share the industry of the shocked company. These results suggest that both stressed customers and suppliers react quickly to stress and adjust their trading relationships. |
ArticleNumber | 57 |
Author | Pálovics, Róbert Dolenc, Primož Leskovec, Jure |
Author_xml | – sequence: 1 givenname: Róbert orcidid: 0000-0003-0202-7760 surname: Pálovics fullname: Pálovics, Róbert email: palovics@stanford.edu organization: Department of Computer Science, Stanford University – sequence: 2 givenname: Primož surname: Dolenc fullname: Dolenc, Primož organization: Bank of Slovenia – sequence: 3 givenname: Jure surname: Leskovec fullname: Leskovec, Jure organization: Department of Computer Science, Stanford University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34966638$$D View this record in MEDLINE/PubMed |
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Keywords | Shock propagation Network evolution Financial contagion |
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Snippet | In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies from... Abstract In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies... Abstract In this paper we analyze the effect of shocks in production networks. Our work is based on a rich dataset that contains information about companies... |
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SubjectTerms | Bankruptcy Complexity Computer Appl. in Social and Behavioral Sciences Computer Science Customers Data-driven Science Financial contagion Impact analysis Information processing Modeling and Theory Building Network evolution Reconfiguration Regular Regular Article Shock propagation |
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Title | Companies under stress: the impact of shocks on the production network |
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