IDEAS home Printed from https://ideas.repec.org/p/red/sed005/28.html
   My bibliography  Save this paper

Technology Adoption, Learning by Doing, and Productivity: A Study from Steel Refining Furnaces

Author

Listed:
  • Hiroshi Ohashi
  • Tsuyoshi Nakamura

    (Department of Economics University of Tokyo)

Abstract

No abstract is available for this item.

Suggested Citation

  • Hiroshi Ohashi & Tsuyoshi Nakamura, 2005. "Technology Adoption, Learning by Doing, and Productivity: A Study from Steel Refining Furnaces," 2005 Meeting Papers 28, Society for Economic Dynamics.
    • Handle: RePEc:red:sed005:28
    as

    Download full text from publisher

    File URL: http://www.e.u-tokyo.ac.jp/~ohashi/prod_steel_nov04.pdf
    File Function: main text
    Download Restriction: no
    File URL: https://www.red-files-public.s3.amazonaws.com/meetpapers/2005/paper_28.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
    2. Nina Pavcnik, 2002. "Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 245-276.
    3. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    4. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    5. Sakellaris, Plutarchos, 2004. "Patterns of plant adjustment," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 425-450, March.
    6. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    7. Gort, Michael & Wall, Richard A., 1998. "Obsolescence, input augmentation, and growth accounting," European Economic Review, Elsevier, vol. 42(9), pages 1653-1665, November.
    8. Jeremy Greenwood & Boyan Jovanovic, 2001. "Accounting for Growth," NBER Chapters, in: New Developments in Productivity Analysis, pages 179-224, National Bureau of Economic Research, Inc.
    9. Ohashi, Hiroshi, 2005. "Learning by doing, export subsidies, and industry growth: Japanese steel in the 1950s and 1960s," Journal of International Economics, Elsevier, vol. 66(2), pages 297-323, July.
    10. Kasahara, Hiroyuki & Rodrigue, Joel, 2008. "Does the use of imported intermediates increase productivity? Plant-level evidence," Journal of Development Economics, Elsevier, vol. 87(1), pages 106-118, August.
    11. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    12. Bertin, Amy L & Bresnahan, Timothy F & Raff, Daniel M G, 1996. "Localized Competition and the Aggregation of Plant-Level Increasing Returns: Blast Furnaces, 1929-1935," Journal of Political Economy, University of Chicago Press, vol. 104(2), pages 241-266, April.
    13. Huggett, Mark & Ospina, Sandra, 2001. "Does productivity growth fall after the adoption of new technology?," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 173-195, August.
    14. Mark E. Doms & Timothy Dunne, 1998. "Capital Adjustment Patterns in Manufacturing Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 409-429, April.
    15. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    16. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    17. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    18. Spence, Michael, 1984. "Cost Reduction, Competition, and Industry Performance," Econometrica, Econometric Society, vol. 52(1), pages 101-121, January.
    19. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    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. Hana Nielsen, 2016. "East versus West: Energy transition and energy intensity in coal-rich Europe, 1830-2000," Working Papers 16024, Economic History Society.
    2. Thomas J. Holmes & David K. Levine & James A. Schmitz, 2012. "Monopoly and the Incentive to Innovate When Adoption Involves Switchover Disruptions," American Economic Journal: Microeconomics, American Economic Association, vol. 4(3), pages 1-33, August.

    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. Tsuyoshi Nakamura & Hiroshi Ohashi, 2005. "Technology Adoption, Learning by Doing, and Productivity: A Study of Steel Refining Furnaces," CIRJE F-Series CIRJE-F-368, CIRJE, Faculty of Economics, University of Tokyo.
    2. Tsuyoshi Nakamura & Hiroshi Ohashi, 2008. "Effects Of Technology Adoption On Productivity And Industry Growth: A Study Of Steel Refining Furnaces," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 470-499, September.
    3. Pinar Geylani & Spiro Stefanou, 2013. "Linking investment spikes and productivity growth," Empirical Economics, Springer, vol. 45(1), pages 157-178, August.
    4. Plutarchos Sakellaris & Daniel J. Wilson, 2004. "Quantifying Embodied Technological Change," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 1-26, January.
    5. Pinar Celikkol Geylani & Spiro E. Stefanou, 2008. "Linking Investment Spikes and Productivity Growth: U.S. Food Manufacturing Industry," Working Papers 08-36, Center for Economic Studies, U.S. Census Bureau.
    6. Bruno Merlevede & Angelos Theodorakopoulos, 2018. "Productivity Effects of Internationalisation Through the Domestic Supply Chain: Evidence from Europe," Working Papers of VIVES - Research Centre for Regional Economics 627689, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    7. Bruno Merlevede & Angelos Theodorakopoulos, 2021. "Productivity effects of internationalisation through the domestic supply chain," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 808-832, September.
    8. Thomas J. Holmes & David K. Levine & James A. Schmitz, 2012. "Monopoly and the Incentive to Innovate When Adoption Involves Switchover Disruptions," American Economic Journal: Microeconomics, American Economic Association, vol. 4(3), pages 1-33, August.
    9. Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015. "The Skill Complementarity of Broadband Internet," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1781-1824.
    10. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    11. Fabiano Rodrigues Bastos, 2007. "Organizational Capital, Learning-by-Doing and Investment Volatility," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 8(3), pages 463-475.
    12. Kasahara, Hiroyuki & Lapham, Beverly, 2013. "Productivity and the decision to import and export: Theory and evidence," Journal of International Economics, Elsevier, vol. 89(2), pages 297-316.
    13. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    14. Plutarchos Sakellaris & Dan Wilson, 2000. "The Production-Side Approach to Estimating Embodied Technological Change," Electronic Working Papers 00-002, University of Maryland, Department of Economics.
    15. Michał Gradzewicz, 2018. "What happens when firms invest? Investment events and firm performance," NBP Working Papers 291, Narodowy Bank Polski.
    16. Sharma, Chandan, 2011. "Imported intermediary inputs, R&D and Firm's Productivity: Evidence from Indian Manufacturing," Proceedings of the German Development Economics Conference, Berlin 2011 74, Verein für Socialpolitik, Research Committee Development Economics.
    17. Thompson, Peter, 2010. "Learning by Doing," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 429-476, Elsevier.
    18. Mary Amiti & Jozef Konings, 2007. "Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia," American Economic Review, American Economic Association, vol. 97(5), pages 1611-1638, December.
    19. Catherine Fuss & Angelos Theodorakopoulos, 2018. "Compositional Changes in Aggregate Productivity in an Era of Globalisation and Financial Crisis," Working Papers of VIVES - Research Centre for Regional Economics 627696, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    20. Ahn, JaeBin & Choi, Moon Jung, 2020. "From firm-level imports to aggregate productivity: Evidence from Korean manufacturing firm data," Japan and the World Economy, Elsevier, vol. 56(C).

    More about this item

    Keywords

    Learning by Doing; vintage capital; technology adoption; TFP; endogeneity; sample selection;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:red:sed005:28. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    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.