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Do Bank Loans to Financially Distressed Firms Lead to Innovation?

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  • Minjung Kim

    (Sogang University)

  • Jungsoo Park

    (Sogang University)

Abstract

This study scrutinizes the association between a bank loan to a financially distressed firm and technological innovation. Using probit model estimations based on a comprehensive Korean manufacturing firm-level data set on innovation and bank loans, we first find that a bank loan to a troubled firm with a weak incentive system has no or little effect on innovation. Second, beneficial effects on innovation are observed when the firm has a strong incentive-based pay system. Third, financially distressed firms with strong incentive systems pursue product innovation rather than process innovation. Finally, the innovation performance of these firms strengthens with more stable financing.

Suggested Citation

  • Minjung Kim & Jungsoo Park, 2017. "Do Bank Loans to Financially Distressed Firms Lead to Innovation?," The Japanese Economic Review, Springer, vol. 68(2), pages 244-256, June.
  • Handle: RePEc:spr:jecrev:v:68:y:2017:i:2:d:10.1111_jere.12131
    DOI: 10.1111/jere.12131
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    1. Joe Peek & Eric S. Rosengren, 2005. "Unnatural Selection: Perverse Incentives and the Misallocation of Credit in Japan," American Economic Review, American Economic Association, vol. 95(4), pages 1144-1166, September.
    2. J. Kornai & E. Maskin & G. Roland, 2004. "Understanding the Soft Budget Constraint," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.
    3. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2010. "Persistence of Innovation in Dutch Manufacturing: Is It Spurious?," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 495-504, August.
    4. Yijiang Wang & Chong-En Bai, 1999. "The Myth of the East Asian Miracle: The Macroeconomic Implications of Soft Budgets," American Economic Review, American Economic Association, vol. 89(2), pages 432-437, May.
    5. Acharya, Viral V. & Bharath, Sreedhar T. & Srinivasan, Anand, 2007. "Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries," Journal of Financial Economics, Elsevier, vol. 85(3), pages 787-821, September.
    6. M. Dewatripont & E. Maskin, 1995. "Credit and Efficiency in Centralized and Decentralized Economies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 541-555.
    7. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    8. Huang, Haizhou & Xu, Chenggang, 1999. "Financial institutions and the financial crisis in East Asia," European Economic Review, Elsevier, vol. 43(4-6), pages 903-914, April.
    9. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    10. Dennis P. Quinn & Pietra Rivoli, 1991. "The Effects of American- and Japanese-Style Employment and Compensation Practices on Innovation," Organization Science, INFORMS, vol. 2(4), pages 323-341, November.
    11. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    12. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    13. Berger, Philip G. & Ofek, Eli & Swary, Itzhak, 1996. "Investor valuation of the abandonment option," Journal of Financial Economics, Elsevier, vol. 42(2), pages 257-287, October.
    14. Takeo Hoshi & Anil Kashyap & David Scharfstein, 1991. "Corporate Structure, Liquidity, and Investment: Evidence from Japanese Industrial Groups," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(1), pages 33-60.
    15. Assaf Eisdorfer, 2008. "Empirical Evidence of Risk Shifting in Financially Distressed Firms," Journal of Finance, American Finance Association, vol. 63(2), pages 609-637, April.
    16. Panayotis Alexakis, 2008. "'Altman Ζ-score model' and prediction of business failures," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 1(4), pages 329-337.
    17. Kim, Jeong-Bon & Yi, Cheong H., 2009. "Does auditor designation by the regulatory authority improve audit quality? Evidence from Korea," Journal of Accounting and Public Policy, Elsevier, vol. 28(3), pages 207-230, May.
    18. Alexeev, Michael & Kim, Sunghwan, 2008. "The Korean financial crisis and the soft budget constraint," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 178-193, October.
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    Cited by:

    1. Umeair Shahzad & Fukai Luo & Jing Liu, 2023. "Debt financing and technology investment Kuznets curve: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 751-765, January.

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    More about this item

    Keywords

    O31; G21;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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