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Self sustaining R&D networks

  • Mauro Caminati

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    This paper contributes to the knowledge-incentive based explanation of R&D networks. It argues that knowledge overlap and novelty are complementary inputs of any R&D alliance, and the complementarity coefficients depend on the incremental or radical nature of the research activity. The relation between the specialization of knowledge endowments and the structural properties (clustering, components, asymmetry of link distribution) of the resulting incremental, radical and mixed research networks are investigated. The paper addresses the structural conditions enabling the persistence of a research network through time.

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    File URL: http://www.econ-pol.unisi.it/quaderni/653.pdf
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    Paper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 653.

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    Date of creation: Oct 2012
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    Handle: RePEc:usi:wpaper:653
    Contact details of provider: Postal: Piazza S.Francesco,7 - 53100 Siena
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    1. Sanjeev Goyal & Marco van der Leij & Jose Luis Moraga, 2004. "Economics: An Emerging Small World?," Tinbergen Institute Discussion Papers 04-001/1, Tinbergen Institute.
    2. Carayol, Nicolas & Roux, Pascale, 2009. "Knowledge flows and the geography of networks: A strategic model of small world formation," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 414-427, August.
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    4. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, MIT Press, vol. 113(2), pages 331-360, May.
    5. Hanaki, Nobuyuki & Nakajima, Ryo & Ogura, Yoshiaki, 2010. "The dynamics of R&D network in the IT industry," Research Policy, Elsevier, vol. 39(3), pages 386-399, April.
    6. Lane, David, et al, 1996. "Choice and Action," Journal of Evolutionary Economics, Springer, vol. 6(1), pages 43-76, February.
    7. 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.
    8. Nooteboom, B. & Vanheverbeke, W.P.M. & Duysters, G.M. & Gilsing, V.A. & Oord van den, A,J,, 2005. "Optimal cognitive distance and absorptive capacity," Working Papers 05.05, Eindhoven Center for Innovation Studies.
    9. Matthew O. Jackson & Brian W. Rogers, 2005. "The Economics of Small Worlds," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 617-627, 04/05.
    10. Bastian Westbrock, 2010. "Natural concentration in industrial research collaboration," RAND Journal of Economics, RAND Corporation, vol. 41(2), pages 351-371.
    11. Gilsing, Victor & Nooteboom, Bart, 2006. "Exploration and exploitation in innovation systems: The case of pharmaceutical biotechnology," Research Policy, Elsevier, vol. 35(1), pages 1-23, February.
    12. König, Michael D. & Battiston, S. & Napoletano, M. & Schweitzer, F., 2011. "Recombinant knowledge and the evolution of innovation networks," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 145-164, August.
    13. Sanjeev Goyal & Sumit Joshi, 2006. "Unequal connections," International Journal of Game Theory, Springer, vol. 34(3), pages 319-349, October.
    14. Sumit Joshi, 2000. "Networks of Collaboration in Oligopoly," Econometric Society World Congress 2000 Contributed Papers 0623, Econometric Society.
    15. Koen Frenken & Luigi Marengo & Marco Valente, 1999. "Interdependencies, nearly-decomposability and adaption," CEEL Working Papers 9903, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    16. Stanley Reiter, 1992. "Knowledge, Discovery and Growth," Discussion Papers 1011, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    17. Vega-Redondo,Fernando, 2007. "Complex Social Networks," Cambridge Books, Cambridge University Press, number 9780521857406.
    18. Mauro Caminati, 2006. "Knowledge growth, complexity and the returns to R&D," Journal of Evolutionary Economics, Springer, vol. 16(3), pages 207-229, August.
    19. Wuyts, S.H.K. & Colombo, M.G. & Dutta, S. & Nooteboom, B., 2004. "Empirical Tests Of Optimal Cognitive Distance," ERIM Report Series Research in Management ERS-2004-007-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Gilsing, V.A. & Duijsters, G.M., 2008. "Understanding novelty creation in exploration networks, structural and relational embeddedness jointly considered," Other publications TiSEM dc09da69-d749-4bf9-8898-5, Tilburg University, School of Economics and Management.
    21. Sanjeev Goyal, 2007. "Introduction to Connections: An Introduction to the Economics of Networks
      [Connections: An Introduction to the Economics of Networks]
      ," Introductory Chapters, Princeton University Press.
    22. Goyal, S. & Joshi, S., 2000. "Networks of Collaboration in Oligopoly," Econometric Institute Research Papers EI 9952-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
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