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Technological Change and the Scale of Production

Author

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  • Matthew Mitchell

    (University of Minnesota)

Abstract

Many manufacturing industries, including the computer industry, have seen large increases in productivity growth rates and have experienced a reduction in average establishment size. A vintage capital model is introduced which can account for this fact. It is shown that a rise in the rate of technological change decreases average plant size, that is, the level of innovation affects fim soze. Smaller plants are not more innovative, as has been suggested, but indutries with more innovation, as measured by productivity growth, have smaller plants. (Copyright: Elsevier)

Suggested Citation

  • Matthew Mitchell, 2002. "Technological Change and the Scale of Production," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 477-488, April.
  • Handle: RePEc:red:issued:v:5:y:2002:i:2:p:477-488
    DOI: 10.1006/redy.2002.0171
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    References listed on IDEAS

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    1. Greenwood, Jeremy & Yorukoglu, Mehmet, 1997. "1974," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 49-95, June.
      • Greenwood, J. & Yorukoglu, M., 1996. "1974," RCER Working Papers 429, University of Rochester - Center for Economic Research (RCER).
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    4. Matthew F. Mitchell, 2000. "The scale of production in technological revolutions," Staff Report 269, Federal Reserve Bank of Minneapolis.
    5. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
    6. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    7. Mayes,David G. (ed.), 1996. "Sources of Productivity Growth," Cambridge Books, Cambridge University Press, number 9780521554374, September.
    8. Zoltan Acs & David Audretsch, 1990. "Innovation and Small Firms," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011131, April.
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    Citations

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    Cited by:

    1. Jason G. Cummins & Giovanni L. Violante, 2002. "Investment-Specific Technical Change in the US (1947-2000): Measurement and Macroeconomic Consequences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 243-284, April.
    2. Samaniego, Roberto M., 2008. "Can technical change exacerbate the effects of labor market sclerosis," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 497-528, February.
    3. Zufeng Shang & Fenglai Wang & Xu Yang, 2022. "The Efficiency of the Chinese Prefabricated Building Industry and Its Influencing Factors: An Empirical Study," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    4. Fumiko Hayashi & Ms. Grace B Li & Zhu Wang, 2015. "Innovation, Deregulation, and the Life Cycle of a Financial Service Industry," IMF Working Papers 2015/192, International Monetary Fund.
    5. Roberto M Samaniego, 2006. "A Theory of Entry and Exit with Embodied Rate of Technical Change," 2006 Meeting Papers 765, Society for Economic Dynamics.
    6. Boyan Jovanovic & Chung-Yi Tse, 2006. "Creative Destruction in Industries," NBER Working Papers 12520, National Bureau of Economic Research, Inc.
    7. Fumiko Hayashi & Bin Grace Li & Zhu Wang, 2017. "Innovation, Deregulation, and the Life Cycle of a Financial Service Industry," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 180-203, October.
    8. Plehn-Dujowich, Jose M., 2009. "Endogenous growth and adverse selection in entrepreneurship," Journal of Economic Dynamics and Control, Elsevier, vol. 33(7), pages 1419-1436, July.
    9. Murata, Yasusada, 2007. "Taste heterogeneity and the scale of production: Fragmentation, unification, and segmentation," Journal of Urban Economics, Elsevier, vol. 62(1), pages 135-160, July.
    10. Krueger, Dirk & Kumar, Krishna B., 2004. "US-Europe differences in technology-driven growth: quantifying the role of education," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 161-190, January.
    11. Boyan Jovanovic & Chung-Yi Tse, 2010. "Entry and Exit Echoes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(3), pages 514-536, July.
    12. Roberto M. Samaniego, 2006. "Employment Protection and High-Tech Aversion," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 224-241, April.
    13. Roberto Samaniego, 2013. "Stages of Diversification and Industry Productivity Differences," 2013 Meeting Papers 774, Society for Economic Dynamics.

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    More about this item

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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