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Technical Inefficiency and Firm Behavior: A Panel Study of Small and Medium Japanese Manufacturing Firms

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  • OGAWA Kazuo

Abstract

This study examines the technical inefficiency of small and medium Japanese manufacturing firms by using panel data from the Basic Survey on Small and Medium Enterprises (2009-2018). We estimate the stochastic frontier production function with four production factors (regular workers, nonregular workers, capital stock and materials) and calculate the technical inefficiency of individual firms by applying a true random effects model that can distinguish technical inefficiency from firm heterogeneity. We find that inefficient firms are smaller, rely more on nonregular workers, exhibit poorer firm performance, have a higher debt-asset ratio, pay a lower interest rate and are inactive in capital investment and R&D investment. We also find that inactive capital investment and a high debt-asset ratio are mainly responsible for causing technical inefficiency.

Suggested Citation

  • OGAWA Kazuo, 2021. "Technical Inefficiency and Firm Behavior: A Panel Study of Small and Medium Japanese Manufacturing Firms," Discussion papers 21068, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:21068
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    1. McKillop, Donal G. & Glass, J. Colin & Morikawa, Yukio, 1996. "The composite cost function and efficiency in giant Japanese banks," Journal of Banking & Finance, Elsevier, vol. 20(10), pages 1651-1671, December.
    2. Imai, Kentaro, 2016. "A panel study of zombie SMEs in Japan: Identification, borrowing and investment behavior," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 91-107.
    3. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    4. Altunbas, Yener & Liu, Ming-Hau & Molyneux, Philip & Seth, Rama, 2000. "Efficiency and risk in Japanese banking," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1605-1628, October.
    5. Kazuo Ogawa, 2020. "Inefficiency in rice production and land use: a panel study of Japanese rice farmers," The Japanese Economic Review, Springer, vol. 71(4), pages 641-669, October.
    6. Hirofumi Fukuyama & William Weber, 2015. "Measuring Japanese bank performance: a dynamic network DEA approach," Journal of Productivity Analysis, Springer, vol. 44(3), pages 249-264, December.
    7. Drake, Leigh & Hall, Maximilian J. B., 2003. "Efficiency in Japanese banking: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 891-917, May.
    8. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    9. George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
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