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Distribution of Labour Productivity in Japan over the Period 1996-2006

Author

Listed:
  • Fujiwara, Yoshi
  • Iyetomi, Hiroshi
  • Ikeda, Yuichi
  • Souma, Wataru

Abstract

The distribution of labour productivity is investigated by analyzing the longitudinal micro-level data set which contains the detailed financial conditions of large numbers of Japanese companies over the period 1996-2006. The authors show that the distribution of labour productivity in both the high and low productivity ranges follows a power law distribution. The generalized beta function of the second kind, which asymptotically reproduces a power law function, is applied to explain the distribution of labour productivity. By comparing the power law exponents that characterize high and low productivity ranges, the authors show that for manufacturing industries, inequality in the low productivity range is larger than that in the high productivity range. For the manufacturing industries, the authors also clarify that the change of inequality in the low productivity range has strong correlation with GDP. In addition, by comparing the power law exponents of the high productivity range in the manufacturing and non-manufacturing industries, the authors show that the inequality of the non-manufacturing industry is higher than that of the manufacturing industry.

Suggested Citation

  • Fujiwara, Yoshi & Iyetomi, Hiroshi & Ikeda, Yuichi & Souma, Wataru, 2009. "Distribution of Labour Productivity in Japan over the Period 1996-2006," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 3, pages 1-14.
  • Handle: RePEc:zbw:ifweej:7600
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    File URL: http://dx.doi.org/10.5018/economics-ejournal.ja.2009-14
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    File URL: https://www.econstor.eu/bitstream/10419/27534/1/economics_2009-14.pdf
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    References listed on IDEAS

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    1. Giulia Faggio & Kjell G. Salvanes & John Van Reenen, 2010. "The evolution of inequality in productivity and wages: panel data evidence," Industrial and Corporate Change, Oxford University Press, vol. 19(6), pages 1919-1951, December.
    2. C. Praag & Peter Versloot, 2007. "What is the value of entrepreneurship? A review of recent research," Small Business Economics, Springer, vol. 29(4), pages 351-382, December.
    3. Green, Alison & Mayes, David, 1991. "Technical Inefficiency in Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 101(406), pages 523-538, May.
    4. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    5. Philip Stevens, 2004. "Accounting for Background Variables in Stochastic Frontier Analysis," National Institute of Economic and Social Research (NIESR) Discussion Papers 239, National Institute of Economic and Social Research.
    6. MORIKAWA Masayuki, 2008. "What Do Japanese Unions Do for Productivity?: An Empirical Analysis Using Firm-Level Data," Discussion papers 08027, Research Institute of Economy, Trade and Industry (RIETI).
    7. Aw, Bee Yan & Chen, Xiaomin & Roberts, Mark J., 2001. "Firm-level evidence on productivity differentials and turnover in Taiwanese manufacturing," Journal of Development Economics, Elsevier, vol. 66(1), pages 51-86, October.
    8. Hart, P E & Shipman, A, 1992. "The Variation of Productivity within British and German Industries," Journal of Industrial Economics, Wiley Blackwell, vol. 40(4), pages 417-425, December.
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    Cited by:

    1. Hideaki Aoyama & Hiroshi Iyetomi & Hiroshi Yoshikawa, 2015. "Equilibrium distribution of labor productivity: a theoretical model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 57-66, April.

    More about this item

    Keywords

    Labour productivity; marginal productivity; power law distribution; inequality;

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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