EconPapers    
Economics at your fingertips  
 

CHAIN OF FIRMS' BANKRUPTCY: A MACROSCOPIC STUDY OF LINK EFFECT IN A PRODUCTION NETWORK

Yoshi Fujiwara ()
Additional contact information
Yoshi Fujiwara: NiCT/ATR CIS Applied Network Science, Kyoto 619-0288, Japan

Advances in Complex Systems (ACS), 2008, vol. 11, issue 05, 703-717

Abstract: A link in a supplier–customer network is usually a creditor–debtor relationship. If a firm goes into a state of financial insolvency or bankruptcy, then firms on its upstream are affected secondarily along the links. By using 10-year data from recent data on bankruptcy in Japan, we show that this "link effect" is by no means negligible in a nationwide economy. While the total debt of bankruptcy typically amounts to as much as a few percent of GDP in Japan, nearly 20% of all bankruptcies are due to the link effect. Interestingly, we find that such a link effect becomes comparable with other causes of bankruptcy, including poor performance in business (namely solo failure) with respect to the number of events, as the bankruptcy is larger. This means that the link effect grows for larger bankruptcies. Because the supplier–customer network has a heavy tail in its degree distribution, the ripple effect due to the bankruptcy chain is considerable. Since every firm is embedded in a giant network of production, this study would suggest the importance of understanding the heterogeneity in the large-scale network of suppliers and customers on a nationwide scale.

Keywords: Supplier–customer network; bankruptcy chain; power law; econophysics (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525908001994
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:11:y:2008:i:05:n:s0219525908001994

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525908001994

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:05:n:s0219525908001994