Credit Contagion and Trade Credit: Evidence from Small Business Data in Japan

Published date01 December 2013
AuthorDaisuke Tsuruta
Date01 December 2013
DOIhttp://doi.org/10.1111/asej.12018
Credit Contagion and Trade Credit: Evidence
from Small Business Data in Japan*
Daisuke Tsuruta
Received 15 October 2011; accepted 26 April 2013
The present study investigates whether credit contagion leads to a decrease in trade
credit for small businesses. In 1997–1998, the Japanese economy experienced a
deep recession, and the domino effect caused an increase in the number of dishon-
ored bills and bankruptcy f‌ilings. During a period of credit contagion, the possi-
bility of default increases for f‌irms with more f‌inancial claims and lower cash
holdings. We f‌ind that during a recession, trade payables for small businesses with
higher trade receivables and lower cash holdings are reduced. The hypothesis that
the effects of credit risk on trade payables are weakened is not supported.
Keywords:trade credit, contagion, f‌inancial crisis, small business.
JEL classif‌ication codes: G20, G32, G33.
doi: 10.1111/asej.12018
I. Introduction
Following the 2007 subprime crisis, many studies have analyzed the negative
effects of f‌inancial shocks. As Udell (2009) argues, the recent f‌inancial shock
could have had negative effects on the real economy, especially the small busi-
ness sector. Many studies have examined the negative shock on small business
f‌inancing through the banking sector. Small f‌irms can have trouble accessing
capital markets because of the problem of information asymmetry between bor-
rowers and creditors. Therefore, numerous studies argue that loans from f‌inancial
intermediaries are important sources of f‌inancing for small f‌irms. For example,
James (1987) argues that banks provide special services that are unavailable
from other creditors, while Petersen and Rajan (1994) show that lending relation-
ships with banks are valuable for borrowers wishing to mitigate problems
*College of Economics, Nihon University, 1-3-2 Misaki-cho, Chiyoda-ku, Tokyo 102-8360,
Japan. Email address: tsuruta.daisuke@nihon-u.ac.jp. The author is a researcher at the Credit Risk
Database (CRD) Association. CRD data were used with permission from the CRD Association. The
views expressed in this paper do not necessarily ref‌lect those of the CRD Association. This study is
supported by a Grant-in-Aid for Scientif‌ic Research, Japan Society for the Promotion of Science. I
would like to thank Eric D. Ramstetter (Managing Editor) and the anonymous referee for many
valuable suggestions. I would also like to thank Fumio Akiyoshi, Masahiro Ashiya, Nobuhiro Hosoe,
Kaoru Hosono, Yoshiro Miwa, Masao Nakata, Ryosuke Okamoto, Yoshiaki Ogura, Kuniyoshi Saito,
Daisuke Shimizu, Hirofumi Uchida, Tsutomu Watanabe, Wako Watanabe and Peng Xu. The seminar
participants at the corporate f‌inance workshop at RIETI, the JEA Annual Meeting at Osaka City
University, and the policy modeling workshop at GRIPS also provided useful comments
bs_bs_banner
Asian Economic Journal 2013, Vol. 27 No. 4, 341–367341
© 2013 The Author
Asian Economic Journal © 2013 East Asian Economic Association and Wiley Publishing Asia Pty Ltd
associated with the information gap. Thus, if banks stop lending because of a
large macroshock, small f‌irms cannot borrow enough and may, therefore, face
severe f‌inancial constraints. To maintain an adequate capital ratio after a f‌inancial
shock, as Udell (2009) argues, banks need to reduce the number of loans by
raising credit standards, making very few new loans and renewing fewer existing
loans. Consequently, small businesses may have suffered signif‌icant damage
during the f‌inancial crisis, mainly because their sources of external f‌inance are
relatively limited.
Small businesses have other sources of f‌inancing, such as trade credit. A
f‌inancial shock can have negative effects on small businesses through trade credit
linkages. As Kiyotaki and Moore (1997, 2002) argue, nonf‌inancial f‌irms form
links by providing trade credit to one another. Not only banks but also nonf‌inan-
cial f‌irms provide ‘f‌inancial intermediation’ because they take credit from sup-
pliers and offer credit to their customers. If a f‌irm experiences an unanticipated
liquidity shock and defaults, the effect of the shock spreads to the f‌irms that have
f‌inancial claims on the defaulting f‌irm. The effects of the unanticipated liquidity
shock spread to many other f‌irms through a similar process. Contagion through
trade credit linkages (called credit contagion) is a serious problem for trade credit
suppliers. Raddatz (2010) shows that an increase in the use of trade credit by f‌irms
results in an increase in their output correlation. Using a theoretical model,
Boissay (2006) shows that when customers of a healthy f‌irm suffer f‌inancial
distress, the f‌irm’s probability of f‌inancial diff‌iculty increases.
In the present paper, using f‌irm-level data, we focus on the negative effects of
f‌inancial shocks through trade credit linkages, and we investigate whether f‌inan-
cial shocks lead to decreases in trade credit for small businesses. In particular, this
paper tests whether trade partners reduce trade credit for small f‌irms that are
vulnerable to credit contagion. We can observe a f‌irm’s trade payables, which are
a proxy for how much the f‌irms borrow from their suppliers, and a f‌irm’s trade
receivables, which are a proxy for how much f‌irms lend to their customers. By
using balance sheet data, we can investigate the effects of f‌inancial shocks on
trade credit. According to Kiyotaki and Moore (1997, 2002), during a period of
credit contagion, the possibility of f‌irms defaulting (especially credit-constrained
small f‌irms) increases with the amount of f‌inancial claims against other f‌irms. As
suppliers can observe which f‌irms possess a large amount of trade receivables,
they will withdraw trade credit from these f‌irms if the problem of credit contagion
becomes serious. Furthermore, f‌irms with lower cash holdings are unlikely to
repay trade debt if credit contagion is serious, so suppliers will reduce trade credit
for these f‌irms. In addition, if suppliers have diff‌iculty anticipating which f‌irms
will default because of contagion, they will withdraw credit from all their cus-
tomers, even if the f‌irm-specif‌ic risk is low. This implies that during a f‌inancial
shock not only banks but also trade partners cut credit for small businesses,
especially those with a large amount of credit claims and lower cash holdings.
The credit chain propagation could thus cause a reduction in the provision of trade
credit.
ASIAN ECONOMIC JOURNAL342
© 2013 The Author
Asian Economic Journal © 2013 East Asian Economic Association and Wiley Publishing Asia Pty Ltd

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex