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Intra-plant diffusion of new technology: Role of productivity in the study of steel refining furnaces

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  • Nakamura, Tsuyoshi
  • Ohashi, Hiroshi

Abstract

This paper examines intra-plant diffusion of new technology in the Japanese steel industry. The introduction of the basic oxygen furnace (BOF) was the greatest breakthrough in steel refining in the last century. Using unique panel data, the paper estimates total factor productivity by technology type, and associates the estimates with intra-plant diffusion. The paper finds that intra-plant diffusion accounts for about a half of the industry productivity growth. Large plants are likely to adopt the new technology earlier, but retain the old technology longer, than their smaller counterparts.

Suggested Citation

  • Nakamura, Tsuyoshi & Ohashi, Hiroshi, 2012. "Intra-plant diffusion of new technology: Role of productivity in the study of steel refining furnaces," Research Policy, Elsevier, vol. 41(4), pages 770-779.
    • Handle: RePEc:eee:respol:v:41:y:2012:i:4:p:770-779
    DOI: 10.1016/j.respol.2011.11.002
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    References listed on IDEAS

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    1. Odagiri, Hiroyuki & Goto, Akira, 1996. "Technology and Industrial Development in Japan: Building Capabilities by Learning, Innovation and Public Policy," OUP Catalogue, Oxford University Press, number 9780198288022, Decembrie.
    2. Battisti, Giuliana & Canepa, Alessandra & Stoneman, Paul, 2009. "e-Business usage across and within firms in the UK: profitability, externalities and policy," Research Policy, Elsevier, vol. 38(1), pages 133-143, February.
    3. Jovanovic, Boyan & Lach, Saul, 1989. "Entry, Exit, and Diffusion with Learning by Doing," American Economic Review, American Economic Association, vol. 79(4), pages 690-699, September.
    4. Nancy L. Rose & Paul L. Joskow, 1990. "The Diffusion of New Technologies: Evidence from the Electric Utility Industry," RAND Journal of Economics, The RAND Corporation, vol. 21(3), pages 354-373, Autumn.
    5. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    6. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    7. Casey Ichniowski & Kathryn Shaw, 1999. "The Effects of Human Resource Management Systems on Economic Performance: An International Comparison of U.S. and Japanese Plants," Management Science, INFORMS, vol. 45(5), pages 704-721, May.
    8. Battisti, Giuliana & Stoneman, Paul, 2005. "The intra-firm diffusion of new process technologies," International Journal of Industrial Organization, Elsevier, vol. 23(1-2), pages 1-22, February.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Ryuki Kobayashi, 2023. "The effects of new technology on productivity: technological improvement and reallocation efficiency in the Japanese steelmaking industry," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-24, December.

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    More about this item

    Keywords

    Intra-plant diffusion; Total factor productivity; Innovation; Technological change;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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