IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v41y2012i4p770-779.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048733311002186
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.respol.2011.11.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. 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.
    3. 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.
    4. Battisti, Giuliana & Stoneman, Paul, 2003. "Inter- and intra-firm effects in the diffusion of new process technology," Research Policy, Elsevier, vol. 32(9), pages 1641-1655, October.
    5. 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.
    6. 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.
    7. 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.
    8. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    9. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2016. "Interdependences in the intrafirm diffusion of technological innovations: Confronting the rational and social accounts of diffusion," Research Policy, Elsevier, vol. 45(5), pages 951-963.
    2. Juan M. Gallego & Luis H. Gutiérrez & Sang H. Lee, 2015. "A firm-level analysis of ICT adoption in an emerging economy: evidence from the Colombian manufacturing industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 191-221.
    3. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    4. Waters, James, 2015. "Determinants of initial technology adoption and intensification: evidence from Latin America and the Caribbean," MPRA Paper 61473, University Library of Munich, Germany.
    5. James Waters, 2017. "Determinants of initial technology adoption and intensification: evidence from Latin America and the Caribbean," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(4), pages 334-352, May.
    6. López, Alberto, 2012. "Productivity effects of ICTs and organizational change: A test of the complementarity hypothesis in Spain," MPRA Paper 40400, University Library of Munich, Germany.
    7. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.
    8. Spyros Arvanitis & Michael Peneder & Christian Rammer & Tobias Stucki & Martin Wörter, 2016. "The adoption of green energy technologies: The role of policies in an international comparison," KOF Working papers 16-411, KOF Swiss Economic Institute, ETH Zurich.
    9. Ansgar Belke & Andreas Wernet, 2015. "Poverty Reduction through Growth and Redistribution Policies—a Panel Analysis for 59 Developing Countries," Review of Development Economics, Wiley Blackwell, vol. 19(1), pages 143-162, February.
    10. Spyros Arvanitis & Marius Christian Ley, 2010. "Factors Determining the Adoption of Energy-saving Technologies in Swiss Firms," KOF Working papers 10-257, KOF Swiss Economic Institute, ETH Zurich.
    11. Adel Ben Youssef & Walid Hadhri & Hatem M’henni, 2010. "Intra-Firm Diffusion of Innovation: Evidence from Tunisian SME’s in Matters of Information and Communication Technologies," Working Papers 532, Economic Research Forum, revised 07 Jan 2010.
    12. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2009. "The effects of new technologies on productivity: An intrafirm diffusion-based assessment," Research Policy, Elsevier, vol. 38(7), pages 1172-1180, September.
    13. Danielle Galliano & Pascale Roux, 2008. "Organisational motives and spatial effects in Internet adoption and intensity of use: evidence from French industrial firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 425-448, June.
    14. Stefanie Haller & Iulia Siedschlag, 2011. "Determinants of ICT adoption: evidence from firm-level data," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3775-3788.
    15. Sault, Joanne & Toivanen, Otto & Waterson, Michael, 2002. "Fast Food - the early years : Geography and the growth of a chain-store in the UK," The Warwick Economics Research Paper Series (TWERPS) 655, University of Warwick, Department of Economics.
    16. Ben Aoun - Peltier, Leila & Vicente Cuervo, Maria Rosalia, 2012. "E-commerce diffusion: exploring the determinants of the adoption and extent of usage at firm-level," MPRA Paper 49333, University Library of Munich, Germany.
    17. Bocquet, Rachel & Brossard, Olivier, 2007. "The variety of ICT adopters in the intra-firm diffusion process: Theoretical arguments and empirical evidence," Structural Change and Economic Dynamics, Elsevier, vol. 18(4), pages 409-437, December.
    18. Heinz Hollenstein & Martin Woerter, 2004. "The Decision to Adopt Internet-based E-Commerce. An Empirical Analysis Based on Swiss Firm-level Data," KOF Working papers 04-89, KOF Swiss Economic Institute, ETH Zurich.
    19. Danielle Galliano & Luis Orozco, 2011. "The determinants of electronic traceability adoption: a firm‐level analysis of French agribusiness," Agribusiness, John Wiley & Sons, Ltd., vol. 27(3), pages 379-397, June.
    20. Spyros Arvanitis & Marius Ley, 2013. "Factors Determining the Adoption of Energy-Saving Technologies in Swiss Firms: An Analysis Based on Micro Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 389-417, March.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:respol:v:41:y:2012:i:4:p:770-779. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/respol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.