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

Journal of Economic Interaction and Coordination

Volumn 2, Issue 2, 2007, Pages 211-229

  Silverberg, Gerald ^a   Verspagen, Bart ^b  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Clustering; Innovation; Percolation; R D; Search; Self organized criticality; Technological change

Indexed keywords

EID: 35748937601     PISSN: 1860711X     EISSN: 18607128     Source Type: Journal    
DOI: 10.1007/s11403-006-0008-5     Document Type: Article

References (23)

1. Brock WA, Hommes CH (1998) Heterogeneous beliefs and routes to chaos in a simple asset pricing model. J Econ Dyn Control 22:1235-1274
2. Dosi G (1982) Technological paradigms and technological trajectories. Res Policy 11:147-162
3. Foray D, Grübler A (1990) Morphological analysis, diffusion and lock-out of technologies: ferrous casting in France and the FRG. Res Policy 19:535-550
4. Frenken K, Leydesdorff L (2000) Scaling trajectories in civil aircraft 1913-1997. Res Policy 29:331-348
5. Harhoff D, Narin F, Scherer FM, Vopel K (1999) Citation frequency and the value of patented inventions. Rev Econ Stat 81:511-515
6. Hill BM (1975) A simple general approach to inference about the tails of a distribution. Ann Stat 3:1163-1174
7. Nelson RR, Winter SG (1977) In search of a useful theory of innovation. Res Policy 6:36-76
8. Sahal D (1981) Patterns of technological innovation. Addison-Wesley, New York
9. Saviotti PP (1996) Technological evolution, variety and the economy. Edward Elgar, Cheltenham
10. Scherer FM (1998) The size distribution of profits from innovation. Ann d'Econ Stat 49/50:495-516
11. Scherer FM, Harhoff D (2000) Technology policy for a world of skew-distribution outcomes. Res Policy 29:559-566
12. Scherer FM, Harhoff D, Kukies J (2000) Uncertainty and the size distribution of rewards from innovation. J Evol Econ 10:175-200
13. Schumpeter JA (1939) Business cycles: a theoretical, historical and statistical analysis of the capitalist process. McGraw-Hill, New York (page numbers quoted in the text refer to the abridged version reprinted in 1989 by Porcupine Press, Philadelphia)
14. Silverberg G (2002) The discrete charm of the bourgeoisie: quantum and continuous perspectives on innovation and growth. Res Policy 31:1275-1289
15. Silverberg G, Lehnert D (1996) Evolutionary chaos: growth fluctuations in a Schumpeterian model of creative destruction. In: Barnett WA, Kirman A, Salmon M (eds) Nonlinear dynamics in economics. Cambridge University Press, Cambridge
16. Silverberg G, Verspagen B (2003a) Brewing the future: stylized facts about innovation and their confrontation with a percolation model. Eindhoven: ECIS Working Paper 80 http://www.tm.tue.nl/ecis/Working%20Papers/eciswp80.pdf
17. Silverberg G, Verspagen B (2003b) Breaking the waves: a Poisson regression approach to Schumpeterian clustering of basic innovations. Camb J Econ 27:671-693
18. Silverberg G, Verspagen B (2004) The size distribution of innovations revisited: an application of extreme value statistics to citation and returns measures of patent significance. Maastricht: MERIT Research Memorandum 2004-021, http://www.merit.unimaas.nl/publications/rmpdf/2004/rm2004-021.pdf, forthcoming in J Econom
19. Silverberg G, Verspagen B (2005) A percolation model of innovation in complex technology spaces. J Econ Dyn Cont 29:225-244
20. Sneppen K (1992) Self-organized pinning and interface growth in a random medium. Phys Rev Lett 69:3539-3542
21. Sornette D, Zajdenweber D (1999) The economic returns of research: the Pareto law and its implications. Eur Phys J B 8:653-664
22. Trajtenberg M (1990) A penny for your quotes: patent citations and the value of innovations. Rand J Econ 21:172-187
23. Winter SG (1984) Schumpeterian competition in alternative technological regimes. J Econ Behav Org 5:287-320