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Self-organization of R&D search in complex technology spaces

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Author Info
Silverberg,Gerald
Verspagen,Bart (MERIT)

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Abstract

We extend an earlier model of innovation dynamics based on invasive percolation by adding endogenous R&D search by economically motivated firms. The {0,1} seeding of the technol-ogy lattice is now replaced by draws from a lognormal distribution for technology ‘difficulty’. Firms are rewarded for successful innovations by increases in their R&D budget. We compare two regimes. In the first, firms are fixed in a region of technology space. In the second, they can change their location by myopically comparing progress in their local neighborhoods and probabilistically moving to the region with the highest recent progress. We call this the mov-ing or self-organizational regime. We find that as the mean and standard deviation of the log-normal distribution are varied, the relative rates of aggregate innovation switches between the two regimes. The SO regime has higher innovation rates, other things being equal, for lower means or higher standard deviations of the lognormal distribution. This results holds for in-creasing size of the search radius. The clustering of firms in the SO regime grows rapidly and fluctuates in a complex way around a high value which increases with the search radius. We also investigate the size distributions of the innovations generated in each regime. In the fixed one, the distribution is approximately lognormal and certainly not fat tailed. In the SO regime, the distributions are radically different. They are much more highly right skewed and show scaling over at least two decades with a slope of almost exactly one, independently of parame-ter settings. Thus we argue that firm self-organization leads to self-organized criticality. (Keywords: innovation, percolation, search, technological change, R&D, clustering, self-organized criticality.

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Paper provided by Maastricht : MERIT, Maastricht Economic Research Institute on Innovation and Technology in its series Research Memoranda with number 015.

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Date of creation: 2005
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Handle: RePEc:dgr:umamer:2005015

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  1. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August. [Downloadable!] (restricted)
  2. Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320. [Downloadable!] (restricted)
  3. F. M. Scherer & Dietmar Harhoff & J, rg Kukies, 2000. "Uncertainty and the size distribution of rewards from innovation," Journal of Evolutionary Economics, Springer, vol. 10(1), pages 175-200. [Downloadable!] (restricted)
  4. Silverberg, G. & Verspagen, B., 2003. "Brewing the future: stylized facts about innovation and their confrontation with a percolation model," ECIS Working Papers 03.06, Eindhoven Centre for Innovation Studies, Eindhoven University of Technology. [Downloadable!]
  5. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  6. Scherer, F. M. & Harhoff, Dietmar, 2000. "Technology policy for a world of skew-distributed outcomes," Research Policy, Elsevier, vol. 29(4-5), pages 559-566, April. [Downloadable!] (restricted)
  7. Silverberg, Gerald, 2002. "The discrete charm of the bourgeoisie: quantum and continuous perspectives on innovation and growth," Research Policy, Elsevier, vol. 31(8-9), pages 1275-1289, December. [Downloadable!] (restricted)
  8. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August. [Downloadable!] (restricted)
  9. F. M. Scherer, 1998. "The Size Distribution of Profits from Innovation," Annales d'Economie et de Statistique, ADRES, issue 49-50, pages 20, Janvier-J. [Downloadable!]
  10. Nelson, Richard R. & Winter, Sidney G., 1977. "In search of useful theory of innovation," Research Policy, Elsevier, vol. 6(1), pages 36-76, January. [Downloadable!] (restricted)
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  11. Silverberg, Gerald & Verspagen, Bart, 2005. "A percolation model of innovation in complex technology spaces," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 225-244, January. [Downloadable!] (restricted)
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  12. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring. [Downloadable!] (restricted)
  13. Gerald Silverberg & Bart Verspagen, 2003. "Breaking the waves: a Poisson regression approach to Schumpeterian clustering of basic innovations," Cambridge Journal of Economics, Oxford University Press, vol. 27(5), pages 671-693, September.
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  14. Silverberg, G. & Verspagen, B., 2004. "The size distribution of innovations revisited: an application of extreme value statistics to citation and value measures of patent significance," ECIS Working Papers 04.17, Eindhoven Centre for Innovation Studies, Eindhoven University of Technology. [Downloadable!]
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  15. Foray, Dominique & Grubler, Arnulf, 1990. "Morphological analysis, diffusion and lockout of technologies: Ferrous casting in France and the FRG," Research Policy, Elsevier, vol. 19(6), pages 535-550, December. [Downloadable!] (restricted)
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  1. Sadowski, B.M. & Straathof, B., 2005. "VoIP under the EU Regulatory Framework: Preventing Foreclosure?," ECIS Working Papers 05.16, Eindhoven Centre for Innovation Studies, Eindhoven University of Technology. [Downloadable!]
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