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Information Technology and the Dynamics of Joint Innovation

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Author Info
Cowan,Robin
Jonard,Nicolas (MERIT)

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Abstract

We develop a model of an innovative industry to examine how information technology, by both enhancing matching efficiency and knowledge sharing, can have an ambiguous effect on the total amount of innovation. We consider a population of firms holding different knowledge expertise, and forming partnerships to conduct joint R&D. We assume that bringing together different expertise has positive value for innovating but also that joint innovation implies a partial convergence of the partners'' expertise. We study how the distribution of firms changes and thus how the innovative potential of the economy evolves. We show that as heterogeneity is used as an input by the innovative process, the industry must eventually collapse to a unique expertise, but how fast this takes place depends on the quality of IT. As a result of falling dispersion, a tension arises between static and dynamic efficiency. JEL Classification Numbers: C78,O33,O38.

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Paper provided by Maastricht : MERIT, Maastricht Economic Research Institute on Innovation and Technology in its series Research Memoranda with number 014.

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Date of creation: 2004
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Handle: RePEc:dgr:umamer:2004014

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Keywords: mathematical economics and econometrics ;

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  1. Pietro Peretto & Sjak Smulders, 2002. "Technological Distance, Growth And Scale Effects," Economic Journal, Royal Economic Society, vol. 112(481), pages 603-624, July. [Downloadable!] (restricted)
  2. Mowery, David C. & Oxley, Joanne E. & Silverman, Brian S., 1998. "Technological overlap and interfirm cooperation: implications for the resource-based view of the firm," Research Policy, Elsevier, vol. 27(5), pages 507-523, September. [Downloadable!] (restricted)
  3. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, MIT Press, vol. 113(2), pages 331-360, May. [Downloadable!] (restricted)
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  4. Dudley, Leonard, 1999. "Communications and economic growth," European Economic Review, Elsevier, vol. 43(3), pages 595-619, March. [Downloadable!] (restricted)
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  5. Gaspar, Jess & Glaeser, Edward L., 1998. "Information Technology and the Future of Cities," Journal of Urban Economics, Elsevier, vol. 43(1), pages 136-156, January. [Downloadable!] (restricted)
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  6. Bloch, Francis & Ryder, Harl, 2000. "Two-Sided Search, Marriages, and Matchmakers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(1), pages 93-115, February.
  7. Sattinger, Michael, 1995. "Search and the Efficient Assignment of Workers to Jobs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 283-302, May. [Downloadable!] (restricted)
  8. Kaufmann, A. & Lehner, P. & Todtling, F., 2003. "Effects of the Internet on the spatial structure of innovation networks," Information Economics and Policy, Elsevier, vol. 15(3), pages 402-424, September. [Downloadable!] (restricted)
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  9. Sattinger, Michael, 1975. "Comparative Advantage and the Distributions of Earnings and Abilities," Econometrica, Econometric Society, vol. 43(3), pages 455-68, May. [Downloadable!] (restricted)
  10. Burdett, Ken & Coles, Melvyn G, 1997. "Marriage and Class," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 141-68, February.
  11. Olsson, Ola, 2000. " Knowledge as a Set in Idea Space: An Epistemological View on Growth," Journal of Economic Growth, Springer, vol. 5(3), pages 253-75, September. [Downloadable!] (restricted)
  12. Joanna Poyago-Theotoky & John Beath & Donald S. Siegel, 2002. "Universities and Fundamental Research: Reflections on the Growth of University--Industry Partnerships," Oxford Review of Economic Policy, Oxford University Press, vol. 18(1), pages 10-21, Spring.
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