Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpma/0303010.html
   My bibliography  Save this paper

A Theory of Technology Diffusion

Author

Listed:
  • Toshihiko Mukoyama

    (Concordia University and CIREQ)

Abstract
What determines the speed of the technology diffusion? What are the consequences of diffusion? This paper presents a model to address these questions. Skilled machine-users adopt a new technology first, while unskilled users wait until machines become more reliable and accessible. The quality improvement of machines is the engine of diffusion, and it is carried out by the machine producer. The speed of diffusion is affected by the skill distribution in the economy. At any point in time, the machine producer can start producing a new generation of machines. The timing of this event is influenced by the skill distribution.

Suggested Citation

  • Toshihiko Mukoyama, 2003. "A Theory of Technology Diffusion," Macroeconomics 0303010, University Library of Munich, Germany, revised 03 Jun 2003.
    • Handle: RePEc:wpa:wuwpma:0303010
    Note: Type of Document - Acrobat PDF; prepared on IBM PC; to print on HP/PostScript; pages: 38 ; figures: included. pdf, 38 pages, figures included
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/mac/papers/0303/0303010.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. Francesco Caselli & Wilbur John Coleman, 2001. "Cross-Country Technology Diffusion: The Case of Computers," American Economic Review, American Economic Association, vol. 91(2), pages 328-335, May.
    3. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    4. Jovanovic, Boyan & MacDonald, Glenn M, 1994. "Competitive Diffusion," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 24-52, February.
    5. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 563-606.
    6. Stoneman, P & Ireland, N J, 1983. "The Role of Supply Factors in the Diffusion of New Process Technology," Economic Journal, Royal Economic Society, vol. 93(369a), pages 66-78, Supplemen.
    7. Redding, Stephen, 1996. "The Low-Skill, Low-Quality Trap: Strategic Complementarities between Human Capital and R&D," Economic Journal, Royal Economic Society, vol. 106(435), pages 458-470, March.
    8. Richard Zeckhauser, 1968. "Optimality in a World of Progress and Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(3), pages 363-365.
    9. Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 253-290.
    10. Young, Alwyn, 1993. "Invention and Bounded Learning by Doing," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 443-472, June.
    11. Richard R. Nelson & Edmond S. Phelps, 1965. "Investment in Humans, Technological Diffusion and Economic Growth," Cowles Foundation Discussion Papers 189, Cowles Foundation for Research in Economics, Yale University.
    12. Boyan Jovanovic, 1998. "Vintage Capital and Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 497-530, April.
    13. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    14. Welch, F, 1970. "Education in Production," Journal of Political Economy, University of Chicago Press, vol. 78(1), pages 35-59, Jan.-Feb..
    15. Christine Macleod, 1992. "Strategies for innovation: the diffusion of new technology in nineteenth-century British industry," Economic History Review, Economic History Society, vol. 45(2), pages 285-307, May.
    16. 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.
    17. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    18. Edward K. Y. Chen, 1983. "The Diffusion of Technology," Palgrave Macmillan Books, in: Multinational Corporations, Technology and Employment, chapter 4, pages 69-93, Palgrave Macmillan.
    19. Stokey, Nancy L, 1988. "Learning by Doing and the Introduction of New Goods," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 701-717, August.
    20. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    21. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
    22. Moses Abramovitz, 1956. "Resource and Output Trends in the United States since 1870," NBER Books, National Bureau of Economic Research, Inc, number abra56-1.
    23. Moses Abramovitz, 1956. "Resource and Output Trends in the United States since 1870," NBER Chapters, in: Resource and Output Trends in the United States since 1870, pages 1-23, National Bureau of Economic Research, Inc.
    24. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
    25. Peter J. Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114, National Bureau of Economic Research, Inc.
    26. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-1165, December.
    27. Boyan Jovanovic & Yaw Nyarko, 1995. "A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 247-305.
    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. Orlando Gomes, 2005. "Knowledge creation and technology difusion: a framework to understand economic growth," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 20(2), pages 41-61, December.
    2. Mehmet Ali Ekemen & Ayta? Y?ld?r?m, 2016. "E-Business Usage in Tourism Industry: Drivers and Consequences," Business and Economic Research, Macrothink Institute, vol. 6(2), pages 302-330, 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. 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.
    2. Maurizio Iacopetta, 2009. "Technological progress and inequality: an ambiguous relationship," Springer Books, in: Uwe Cantner & Jean-Luc Gaffard & Lionel Nesta (ed.), Schumpeterian Perspectives on Innovation, Competition and Growth, pages 181-201, Springer.
    3. 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.
    4. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    5. Mukoyama, Toshihiko, 2006. "Rosenberg's "learning by using" and technology diffusion," Journal of Economic Behavior & Organization, Elsevier, vol. 61(1), pages 123-144, September.
    6. Nancy Stokey, 2021. "Technology and Skill: Twin Engines of Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 40, pages 12-43, April.
    7. Mateos-Planas, Xavier, 2000. "Schooling and distortions in a vintage capital model," Discussion Paper Series In Economics And Econometrics 30, Economics Division, School of Social Sciences, University of Southampton.
    8. Boyan Jovanovic, 1998. "Vintage Capital and Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 497-530, April.
    9. Stephen L. Parente, 2000. "Learning-by-Using and the Switch to Better Machines," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(4), pages 675-703, October.
    10. Mateos-Planas, Xavier, 2000. "Schooling and distortions in a vintage capital model," Discussion Paper Series In Economics And Econometrics 0030, Economics Division, School of Social Sciences, University of Southampton.
    11. Adriaan Zon & Roberto Antonietti, 2016. "Education and training in a model of endogenous growth with creative wear-and-tear," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(1), pages 35-62, April.
    12. repec:cvs:starer:9816 is not listed on IDEAS
    13. repec:fth:starer:9816 is not listed on IDEAS
    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. Weinberg, Bruce A., 2004. "Experience and Technology Adoption," IZA Discussion Papers 1051, Institute of Labor Economics (IZA).
    16. Xavier Mateos-Planas, 2001. "Schooling and Distortions in a Vintage Capital Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(1), pages 127-158, January.
    17. Nancy L. Stokey, 2018. "Technology and Skill: Twin Engines of Growth," NBER Working Papers 24570, National Bureau of Economic Research, Inc.
    18. repec:fth:starer:98-16 is not listed on IDEAS
    19. Peter Thompson & Mihaela Pintea, 2005. "Technological Complexity, R&D and Education: Some Pleasant Arithmetic," Computing in Economics and Finance 2005 185, Society for Computational Economics.
    20. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    21. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
    22. Jovanovic, Boyan & Yatsenko, Yuri, 2012. "Investment in vintage capital," Journal of Economic Theory, Elsevier, vol. 147(2), pages 551-569.
    23. Mulder, Peter & de Groot, Henri L. F. & Hofkes, Marjan W., 2003. "Explaining slow diffusion of energy-saving technologies; a vintage model with returns to diversity and learning-by-using," Resource and Energy Economics, Elsevier, vol. 25(1), pages 105-126, February.

    More about this item

    Keywords

    Technology Diffusion; Skill; Quality Improvement; Learning by Using; R&D; Innovation;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:wpa:wuwpma:0303010. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.