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The effects of new technology on productivity: technological improvement and reallocation efficiency in the Japanese steelmaking industry

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  • Ryuki Kobayashi

    (Keio University)

Abstract

This paper analyzes the effect of new technology for steel refining—the basic oxygen furnace—on productivity growth using the productivity decomposition method. I employ a technique that decomposes productivity growth into four factors: operational improvement, within- and between-technology reallocation, and entry–exit effects. I demonstrate that the following two factors are both substantially important: (i) the rapid operational progress of new technology and (ii) between-technology reallocation both among existing furnaces and through entries. I also find that although the overall allocation efficiency improved, the within-new-technology allocation efficiency declined. The results suggest that government policies encouraged the construction of new furnaces by lowering the cost of introducing new technology, and firms were able to enjoy the high productivity gains from the new technology itself and its rapid growth.

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  • 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.
  • Handle: RePEc:spr:jecstr:v:12:y:2023:i:1:d:10.1186_s40008-023-00300-3
    DOI: 10.1186/s40008-023-00300-3
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    References listed on IDEAS

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    1. Mario Cruz-Gonzalez & Iván Fernández-Val & Martin Weidner, 2017. "Bias corrections for probit and logit models with two-way fixed effects," Stata Journal, StataCorp LP, vol. 17(3), pages 517-545, September.
    2. Allan Collard-Wexler & Jan De Loecker, 2015. "Reallocation and Technology: Evidence from the US Steel Industry," American Economic Review, American Economic Association, vol. 105(1), pages 131-171, January.
    3. 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.
    4. 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.
    5. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    6. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 167-198.
    7. Tsuyoshi Nakamura & Hiroshi Ohashi, 2012. "Effects of re-invention on industry growth and productivity: evidence from steel refining technology in Japan, 1957--1968," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(4), pages 411-426, June.
    8. 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.
    9. Lee, Keun & Ki, Jee-hoon, 2017. "Rise of latecomers and catch-up cycles in the world steel industry," Research Policy, Elsevier, vol. 46(2), pages 365-375.
    10. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    11. Sharon Oster, 1982. "The Diffusion of Innovation among Steel Firms: The Basic Oxygen Furnace," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 45-56, Spring.
    12. Lynn, Leonard, 1981. "New Data on the Diffusion of the Basic Oxygen Furnace in the U.S. and Japan," Journal of Industrial Economics, Wiley Blackwell, vol. 30(2), pages 123-135, December.
    13. 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.
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