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Innovating on Innovations

Author

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  • Guido Cozzi

    (Università «La Sapienza», Roma)

Abstract

Researchers aiming to invent and develop innovative products and processes need to be continuously updated about at least a minimum fraction of the last relevant innovations. If the flow of new ideas is too intense researchers spend most of their time reading and hearing. This never lasting updating process was assumed costless by the Schumpeterian endogenous growth models. Accounting for its cost removes the “strong scale effect” from the R&Ddriven growth models and makes long run growth mainly depend on information transmission costs. Therefore efficient information and communication technologies (ICT) and management seem crucial for growth.

Suggested Citation

  • Guido Cozzi, 2003. "Innovating on Innovations," Rivista di Politica Economica, SIPI Spa, vol. 93(2), pages 3-29, March-Apr.
    • Handle: RePEc:rpo:ripoec:v:93:y:2003:i:2:p:3-29
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    References listed on IDEAS

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    1. Charles I. Jones, 1999. "Growth: With or Without Scale Effects?," American Economic Review, American Economic Association, vol. 89(2), pages 139-144, May.
    2. Alwyn Young, 1998. "Growth without Scale Effects," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 41-63, February.
    3. Backus, David K. & Kehoe, Patrick J. & Kehoe, Timothy J., 1992. "In search of scale effects in trade and growth," Journal of Economic Theory, Elsevier, vol. 58(2), pages 377-409, December.
    4. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 43-61.
    5. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    6. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    7. Peretto, Pietro F, 1998. "Technological Change and Population Growth," Journal of Economic Growth, Springer, vol. 3(4), pages 283-311, December.
    8. Elias Dinopoulos & Peter Thompson, 1999. "Scale effects in Schumpeterian models of economic growth," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 157-185.
    9. Paul Segerstrom & Elias Dinopoulos, 1999. "A Schumpeterian Model of Protection and Relative Wages," American Economic Review, American Economic Association, vol. 89(3), pages 450-472, June.
    10. Peter Howitt, 1999. "Steady Endogenous Growth with Population and R & D Inputs Growing," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 715-730, August.
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    Cited by:

    1. Lin, Hwan C., 2013. "Optimal Patent Life in a Variety-Expansion Growth Model," MPRA Paper 49790, University Library of Munich, Germany.
    2. Guido Cozzi, 2008. "Why the Rich Should Like R&D Less," Working Papers 2009_14, Business School - Economics, University of Glasgow, revised Mar 2009.
    3. Hwan C. Lin, 2015. "Creative Destruction and Optimal Patent Life in a Variety‐Expanding Growth Model," Southern Economic Journal, John Wiley & Sons, vol. 81(3), pages 803-828, January.

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    More about this item

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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