The Economics of Interfirm Networks: Main Issues

Part of the Advances in Japanese Business and Economics book series (AJBE, volume 4)


Cash Holding Bank Relationship Idiosyncratic Shock Great East Japan Earthquake Main Bank 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Acemoglu, D., Carvalho, V. M., Ozdaglar, A., & Tahbaz-Salehi, A. (2012). The network origins of aggregate fluctuations. Econometrica, 80(5), 1977–2016.CrossRefGoogle Scholar
  2. Allen, F., & Babus, A. (2008). Networks in finance. Wharton Financial Institutions Center Working Paper, No. 08-07.Google Scholar
  3. Benhabib, J., Bisin, A., & Jackson, M. O. (2011). Handbook of social economics Vol. 1A. Amsterdam: Elsevier (North Holland Publishing).Google Scholar
  4. Duranton, G., & Overman, H. (2005). Testing for localization using micro-geographic data. Review of Economic Studies, 72(4), 1077–1106.CrossRefGoogle Scholar
  5. Dutta, D., & Jackson, M. O. (2002). Networks and groups. Berlin: Springer.Google Scholar
  6. Goyal, S. (2007). Connections: An introduction to the economics of networks. Princeton: Princeton University Press.Google Scholar
  7. Hazama, M., & Uesugi, I. (2012). Measuring the systemic risk in interfirm transaction networks. HIT-TDB Network Center Working Paper, No. 20.Google Scholar
  8. Hosono, K., Miyakawa, D., Uchino, T., Hazama, M., Ono, A., Uchida, H., & Uesugi, I. (2012). Natural disasters, damage to banks, and firm investment. HIT-TDB Network Center Working Paper, No. 18.Google Scholar
  9. Jackson, M. O. (2008). Social and economic networks. Princeton: Princeton University Press.Google Scholar
  10. Miyakawa, D., Hosono, K., Uchino, T., Ono, A., Uchida, H., & Uesugi, I. (2014). Financial shocks and firm exports: A natural experiment approach with a massive earthquake. RIETI Discussion Paper Series, 14-E-10.Google Scholar
  11. Nakajima, K., Saito, Y., & Uesugi, I. (2012). Localization of interfirm transaction relationships and industry agglomeration. RIETI Discussion Paper Series, 12-E-23.Google Scholar
  12. Ogura, Y., Okui, R., & Saito, Y. (2014). Network-motivated lending decision. Mimeo.Google Scholar
  13. Okamuro, H., & Nishimura, J. (2013). Knowledge and rent spillovers through Government-Sponsored R & D Consortia. HIT-TDB Network Center Working Paper, No. 24.Google Scholar
  14. Ono, A., Uchida, H., Udell, G. F., & Uesugi, I. (2014). Lending pro-cyclicality and macro-prudential policy: Evidence from Japanese LTV ratios. TCER Working Paper Series, E-70.Google Scholar
  15. Rogoff, K. S., & Reinhart, C. M. (2009). This time is different: Eight centuries of financial folly. Princeton: Princeton University Press.Google Scholar
  16. Todo, Y., Nakajima, K., & Matous, P. (2015). How do supply chain networks affect the resilience of firms to natural disasters? Evidence from the Great East Japan earthquake. Journal of Regional Science, 55(2), 209–229.Google Scholar
  17. Uchida, H., Ono, A., Kozuka, S., Hazama, M., & Uesugi, I. (2015). Interfirm Relationships and Trade Credit in Japan: Evidence from Micro-Data. Springer Briefs in Economics, Tokyo:Springer.Google Scholar

Copyright information

© Springer Japan 2015

Authors and Affiliations

  1. 1.Graduate School of EconomicsThe University of TokyoBunkyo-kuJapan
  2. 2.Institute of Economic ResearchHitotsubashi UniversityKunitachiJapan
  3. 3.Chuo UniversityHachioji-shiJapan

Personalised recommendations