Abstract
The concentration and dispersion of innovative activities in space have been largely evidenced by the nature of knowledge and the geographical extent of knowledge spillovers. One of the empirical challenges is to go beyond this by understanding how the geography of innovation is shaped by particular structural properties of R&D collaboration networks. This paper contributes to this challenge focusing on the case of global navigation satellite systems at the European level. We exploit a database of R&D collaborative projects based on the fifth and sixth EU Framework Programs, and apply social network analysis. We study the properties both of the network of organisations and the network of collaborative projects. We show that the nature of the knowledge involved in relationships influences the geographical and structural organisations of the technological field. The observed coexistence of a relational core/periphery structure with a geographical cluster/pipeline one is discussed in the light of the industrial and geographical dynamics of technological standards.
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Notes
- 1.
GSA is the European GNSS Agency, in charge of public interests related to GNSS programmes in Europe.
- 2.
For each project we code 1 if the project exhibits between 0 % and 10 % of organisations with a knowledge profile, 2 if the project exhibits between 10 % and 20 % … to 10 if the project exhibits between 90 % and 100 %.
- 3.
Detailed about the econometric specification can be found in Cameron and Trivedi (2005).
- 4.
We control for Heteroscedasticity with White correction.
References
Ahuja G, Polodiro F, Mitchell W (2009) Structural homophily or social asymmetry? The formation of alliances by poorly embedded firms. Strateg Manage J 30:941–958
Antonelli C (2006) The business governance of localized knowledge: an information economics approach for the economics of knowledge. Ind Innov 13(3):227–261
Audretsch D, Feldman MP (1996) Innovative clusters and the industry life cycle. Rev Ind Organ 11:253–273
Autant-Bernard C, Billand P, Frachisse D, Massard N (2007) Social distance versus spatial distance in R&D cooperation: empirical evidence from European collaboration choices in micro and nanotechnologies. Pap Reg Sci 86(3):495–520
Balland PA (2012) Proximity and the evolution of collaboration networks: evidence from research and develoment projects within the GNSS industry. Reg Stud 46(6):741–756
Bathelt H, Malmberg A, Maskell P (2004) Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation. Prog Hum Geogr 28(1):31–56
Borgatti SP, Everett MG (1999) Models of core/periphery structures. Soc Netw 21:375–395
Boschma RA (2005) Proximity and innovation: a critical assessment. Reg Stud 39(1):61–74
Boschma RA, Frenken K (2010) The spatial evolution of innovation networks. A proximity perspective. In: Boschma RA, Martin R (eds) Handbook on evolutionary economic geography. Edward Elgar, Cheltenham, pp 120–135
Breschi S, Lissoni F (2001) Knowledge spillovers and local innovation systems: a critical survey. Ind Corp Change 10(4):975–1005
Breschi S, Cassi L, Malerba F, Vonortas N (2009) Networked research: European policy intervention for information and communication technologies. Technol Anal Strateg Manage 21:833–857
Broekel T, Graf H (2012) Public research intensity and the structure of German R&D networks: a comparison of 10 technologies. Econ Innov New Technol 21(4):345–372
Burt R (1992) Structural holes. Harvard University Press, Cambridge, MA
Cameron C, Trivedi P (2005) Microeconometrics. Cambridge University Press, Cambridge, NY
Cattani G, Ferriani S (2008) A core/periphery perspective on individual creative performance: social networks and cinematic achievements in the Hollywood film industry. Organ Sci 6:824–844
Coleman JS (1988) Social capital in the creation of human capital. Am J Sociol 94:95–120
Cooke P (2006) Rational drug design, the knowledge value chain and biosciences megacentres. Camb J Econ 29:325–341
Cowan R, David PA, Foray D (2000) The explicit economics of knowledge codification and tacitness. Ind Corp Change 9:211–253
Cowan R, Jonard N, Özman M (2004) Knowledge dynamics in a network industry. Technol Forecast Soc Change 71:469–484
Feldman M (1999) The new economics of innovation, spillovers and agglomeration: a review of empirical studies. Econ Innov New Technol 8(1):5–25
Freeman C (1991) Networks of innovators: a synthesis of research issues. Res Policy 20:499–514
Frenken K, Hoekman J, Kok S, Ponds R, Van Oort F, Van Vliet J (2009) Death of distance in science? A gravity approach to research collaboration. In: Pyka A, Scharnhorst A (eds) Innovation networks – new approaches in modelling and analyzing. Springer, Berlin, pp 43–57
Goldberg DE (1989) Genetic algorithms. Addison Wesley, New York
Hagedoorn J (2002) Inter-firm R&D partnerships: an overview of major trends and patterns since 1960. Res Policy 31(4):477–492
Jackson MO, Wolinsky A (1996) A strategic model of social and economic networks. J Econ Theory 71:44–74
Katz ML, Shapiro C (1994) Systems competition and network effects. J Econ Perspect 8:93–115
March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2:71–87
Nooteboom B (2000) Learning by interaction: absorptive capacity, cognitive distance and governance. J Manage Gov 4(1–2):69–92
Owen-Smith J, Powell WW (2004) Knowledge networks as channels and conduits: the effects of spillovers in the Boston biotechnology community. Organ Sci 15(1):5–21
Porter ME (1998) On competition. Harvard Business School, Boston
Scherngell T, Barber M (2011) Distinct spatial characteristics of industrial and public research collaborations: evidence from the 5th EU Framework Programme. Ann Reg Sci 46:247–266
Ter Wal A (2011) The spatial dynamics of the inventor network in German biotechnology: geographical proximity versus triadic closure. Papers in evolutionary economic geography 11–02, Section of Economic Geography, Utrecht University
Ter Wal A, Boschma R (2009) Applying social network analysis in economic geography: framing some key analytic issues. Ann Reg Sci 43(3):739–756
Trippl M, Tödtling F, Lengauer L (2009) Knowledge sourcing beyond buzz and pipelines: evidence from the Vienna software cluster. Econ Geogr 85(4):443–462
Uzzi B (1997) Towards a network perspective on organizational decline. Int J Sociol Soc Policy 17:111–155
Vicente J, Balland PA, Brossard O (2011) Getting into networks and clusters: evidence from the Midi-Pyrenean GNSS collaboration network. Reg Stud 45(8):1059–1078
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Vicente, J., Balland, PA., Suire, R. (2013). The Structure and Geography of Collaboration Networks in the European GNSS Industry. In: Scherngell, T. (eds) The Geography of Networks and R&D Collaborations. Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-319-02699-2_13
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