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Determinants and Effects of the Use of COVID-19 Business Support Programs in Japan

Author

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  • Honda, Tomohito
  • Hosono, Kaoru
  • Miyakawa, Daisuke
  • Ono, Arito
  • Uesugi, Iichiro

Abstract

Using a survey of and financial data for Japanese small- and medium-enterprises (SMEs), this paper examines the determinants of firms’ use of the business support programs provided by the Japanese government during the COVID-19 pandemic and their effect. With respect to the determinants, we obtain the following three findings: First, firms were more likely to have obtained subsidized loans, grants, or subsidies the more their sales had fallen during the pandemic, suggesting that funds flowed to firms that were adversely affected by the pandemic. Second, the likelihood that firms obtained funds was higher if their credit scores were lower or if they were classified as “zombies” and/or “low-return borrowers” before the pandemic, suggesting that the government programs also helped firms that had been under-performing before the pandemic. Third, firms were more likely to receive funds if they had a stronger relationship with their main bank before, suggesting that bank relationships play an important role in firms’ access to government programs. Regarding the causal effects, we obtain the following three findings: First, except for the subsidies for employment adjustment, the support programs increased the cash holdings of user firms. Second, subsidized loans from private financial institutions lowered exit rates, while none of the programs had a significantly positive effect on employment relative to non-users (or in absolute terms). Third, the credit scores and profit-to-sales ratio of firms that used the support programs decreased and the likelihood of such firms being a zombie and/or a low-return borrower increased. Overall, our findings provide a cautionary tale in that the business support programs produced mixed results in that they may have prevented business failures but have also helped to prop up firms that are not viable in the long run.

Suggested Citation

  • Honda, Tomohito & Hosono, Kaoru & Miyakawa, Daisuke & Ono, Arito & Uesugi, Iichiro, 2022. "Determinants and Effects of the Use of COVID-19 Business Support Programs in Japan," RCESR Discussion Paper Series DP22-5, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:rcesrs:dp22-5
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    References listed on IDEAS

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    Cited by:

    1. Aizenman, Joshua & Jinjarak, Yothin & Spiegel, Mark M., 2023. "Fiscal capacity and commercial bank lending under COVID-19," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    2. Bighelli, Tommaso & Lalinsky, Tibor & Vanhala, Juuso, 2023. "Cross-country evidence on the allocation of COVID-19 government subsidies and consequences for productivity," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    3. Nakamura, Jun-ichi, 2023. "A 50-year history of “zombie firms” in Japan: How banks and shareholders have been involved in corporate bailouts?," Japan and the World Economy, Elsevier, vol. 66(C).
    4. Kin Wai Cheung & Masami Imai, 2023. "Zombie Lending, Labor Hoarding, and Local Industry Growth," Wesleyan Economics Working Papers 2023-003, Wesleyan University, Department of Economics.
    5. HONDA Tomohito & HOSONO Kaoru & MIYAKAWA Daisuke & ONO Arito & UESUGI Iichiro, 2024. "Imperfect Take-up of COVID-19 Business Support Programs," Discussion papers 24001, Research Institute of Economy, Trade and Industry (RIETI).

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    More about this item

    Keywords

    COVID-19 business support programs; zombie firms; low-return borrowers; cash holdings;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D25 - Microeconomics - - Production and Organizations - - - Intertemporal Firm Choice: Investment, Capacity, and Financing
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

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