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Journal of Evolutionary Economics

, Volume 28, Issue 2, pp 417–436 | Cite as

The spatial component of R&D networks

  • Tobias Scholl
  • Antonios Garas
  • Frank Schweitzer
Regular Article

Abstract

We study the role of geography in R&D networks by means of a quantitative, micro-geographic approach. Using a large database that covers international R&D collaborations from 1984 to 2009, we localize each actor precisely in space through its latitude and longitude. This allows us to analyze the R&D network at all geographic scales simultaneously. Our empirical results show that despite the high importance of the city level, transnational R&D collaborations at large distances are much more frequent than expected from similar networks. This provides evidence for the ambiguity of distance in economic collaboration which is also suggested by the existing literature. In addition we test whether the hypothesis of local buzz and global pipelines applies to the observed R&D network by calculating well-defined metrics from network theory.

Keywords

Complex network Geographic distance R&D Collaboration 

JEL Classification

F60 F23 O30 

Notes

Compliance with Ethical Standards

Conflict of interests

The authors declare that they have no conflict of interest.

References

  1. Acs ZJ, Audretsch DB, Feldman MP (1992a) Real effects of academic research: comment. Am Econ Rev 82:363–367Google Scholar
  2. Acs ZJ, Fitzroy FR, Smith I (1999b) High technology employment, wages and university r&d spillovers: Evidence from us cities. Econ Innov New Technol 8(1–2):57–78CrossRefGoogle Scholar
  3. Amin A, Thrift N (1992) Neo-marshallian nodes in global networks. International journal of urban and regional research 16(4):571–587CrossRefGoogle Scholar
  4. Barthélemy M (2006) Spatial networks. Physics ReportsGoogle Scholar
  5. 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):31–56CrossRefGoogle Scholar
  6. Battiston S, Puliga M, Kaushik R, Tasca P, Caldarelli G (2012) Debtrank: Too central to fail? financial networks, the fed and systemic risk. Sci Rep 2:541CrossRefGoogle Scholar
  7. Bianconi G, Pin P, Marsili M (2009) Assessing the relevance of node features for network structure. Proc Natl Acad Sci 106(28):11433–11438CrossRefGoogle Scholar
  8. Bode E (2004) The spatial pattern of localized r&d spillovers: an empirical investigation for germany. J Econ Geogr 4(1):43–64CrossRefGoogle Scholar
  9. Boschma R, Martin R (2010) The handbook of evolutionary economic geography. Edward Elgar PublishingGoogle Scholar
  10. Brockmann D., Hufnagel L., Geisel T (2006) The scaling laws of human travel. NatureGoogle Scholar
  11. Broekel T, Balland P-A, Burger M, van Oort F (2014) Modeling knowledge networks in economic geography: a discussion of four methods. Ann Reg Sci 53(2):423–452CrossRefGoogle Scholar
  12. Clauset A, Shalizi CR, Newman MEJ (2009) Power-law distributions in empirical data. Siam Review 51(1):1–34CrossRefGoogle Scholar
  13. Coe D, Helpman E (1997) International r&d spillovers. Res Policy 26(4–5):475–491Google Scholar
  14. Cohen R, Havlin S (2003) Scale-free networks are ultrasmall. Phys Rev Lett 90(5):058701CrossRefGoogle Scholar
  15. Cohen WM, Klepper S (1996) Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D. Rev Econ Stat 78(2):232–243CrossRefGoogle Scholar
  16. Cooke P (2001) Regional innovation systems, clusters, and the knowledge economy. Ind Corp Chang 10(4):945–974CrossRefGoogle Scholar
  17. Davenport S (2005) Exploring the role of proximity in {SME} knowledge-acquisition. Res Policy 34(5):683–701CrossRefGoogle Scholar
  18. de Jong JPJ, Freel M (2010) Absorptive capacity and the reach of collaboration in high technology small firms. Res Policy 39(1):47–54CrossRefGoogle Scholar
  19. Doloreux D, Parto S (2004) Regional innovation systems: a critical synthesis. Institute for new technologies, united nations universityGoogle Scholar
  20. Duranton G, Overman H (2005) Testing for localization using micro-geographic data. Rev Econ Stud 72(4):1077–1106CrossRefGoogle Scholar
  21. Feldman MP (1994) The geography of innovation. Vol. 2. Springer Science & Business MediaGoogle Scholar
  22. Fritsch M, Franke G (2004) Innovation, regional knowledge spillovers and r&d cooperation. Res Policy 33(2):245–255CrossRefGoogle Scholar
  23. Garas A, Argyrakis P (2008) A network approach for the scientific collaboration in the European Framework Programs. Epl (europhysics letters) 84:68005CrossRefGoogle Scholar
  24. Garas A, Argyrakis P, Rozenblat C, Tomassini M, Havlin S (2010) Worldwide spreading of economic crisis. New J Phys 12(11):113043CrossRefGoogle Scholar
  25. Gassmann O, von Zedtwitz M (1999) New concepts and trends in international R&D organization. Res Policy 28(2–3):231–250CrossRefGoogle Scholar
  26. Georghiou L (1998) Global cooperation in research. Res Policy 27(6):611–626CrossRefGoogle Scholar
  27. Giuliani E (2005) Cluster absorptive capacity: Why do some clusters forge ahead and others lag behind Eur Urban Reg Stud 12(3):269–288CrossRefGoogle Scholar
  28. Glaeser EL (1999) Learning in cities. J Urban Econ 46(2):254–277CrossRefGoogle Scholar
  29. Glaeser EL, Kallal HD, Scheinkman JA, Shleifer A (1992) Growth in cities. J Polit Econ 100(6):1126–1152CrossRefGoogle Scholar
  30. Gonzalez MC, Hidalgo CA, Barabasi A-L (2008) Understanding individual human mobility patterns. Nature 453(7196):779–782CrossRefGoogle Scholar
  31. Graf H, Krüger JJ (2011) The performance of gatekeepers in innovator networks. Ind Innov 18(1):69–88CrossRefGoogle Scholar
  32. Grubesic TH (2008) Zip Codes and Spatial Analysis: Problems and Prospects. Socio-Economic Planning SciencesGoogle Scholar
  33. Haggett P (1967) Models in geography. Vol. 2. Methuen; distributed in the USA by Barnes & NobleGoogle Scholar
  34. Haggett P, Chorley RJ (1969) Network analysis in geography, vol 67. Edward Arnold, LondonGoogle Scholar
  35. Hennemann S, Rybski D, Liefner I (2012) The myth of global science collaboration - collaboration patterns in epistemic communities. J infor 6(2):217–225CrossRefGoogle Scholar
  36. Kang N-H, Sakai K (2000) International strategic alliances. Oecd science, technology and industry working papersGoogle Scholar
  37. Lambiotte R, Blondel VD, de Kerchove C, Huens E, Prieur C, Smoreda Z, Van Dooren P (2008) Geographical dispersal of mobile communication networks. Physica A: Statistical Mechanics and its Applications n387(21):5317–5325CrossRefGoogle Scholar
  38. Marshall A (1895) Principles of Economics. MacmillanGoogle Scholar
  39. Morrison A, Rabellotti R (2009) Knowledge and information networks in an italian wine cluster. Eur Plan Stud 17(7):983–1006CrossRefGoogle Scholar
  40. Muller E, Doloreux D (2009) What we should know about knowledge-intensive business services. Technol Soc 31(1):64–72CrossRefGoogle Scholar
  41. Newman M (2010) Networks: an introduction. Oxford University Press, OxfordCrossRefGoogle Scholar
  42. Openshaw S (1984) The modifiable areal unit problem. In: Concepts and techniques in modern geography 38Google Scholar
  43. Paier M, Scherngell T (2011) Determinants of collaboration in european r&d networks: empirical evidence from a discrete choice model. Ind Innov 18(1):89–104CrossRefGoogle Scholar
  44. Porter ME (1998) Clusters and competition. new agenda for companies. Pages 197–287 of: Governments and institutions. In: Ibid., on competitionGoogle Scholar
  45. Ryan P, Giblin M, Walshe E (2004) From subcontracted r&d to joint collaboration: The role of trust in facilitating this process. International journal of innovation and technology management 01(02):205–231CrossRefGoogle Scholar
  46. Schweitzer F, Fagiolo G, Sornette D, Vega-Redondo F, Vespignani A, White DR (2009) Economic networks: The new challenges. Science 325 (5939):422–425Google Scholar
  47. Strambach S (2001) Innovation processes and the role of knowledge-intensive business services (kibs). Pages 53–68 of: Koschatzky, Knut, Kulicke, Marianne, & Zenker, Andrea (eds), Innovation networks. Technology, Innovation and Policy, vol. 12. Physica-Verlag HDGoogle Scholar
  48. Tomasello MV, Napoletano M, Garas A, Schweitzer F (2013) The Rise and Fall of R&D Networks. arXiv:1304.3623
  49. Vitali S, Battiston S (2011) Geography versus topology in the european ownership network. New J Phys 13(6):063021CrossRefGoogle Scholar
  50. Vitali S, Glattfelder JB, Battiston S (2011) The network of global corporate control. Plos One 6(10):1–6CrossRefGoogle Scholar
  51. Watts DJ, Strogatz SH (1998) Collective dynamics of ’small-world’networks. nature 393(6684):440–442CrossRefGoogle Scholar
  52. Whittington KB, Owen-Smith J, Powell WW (2009) Networks, propinquity, and innovation in knowledge-intensive industries. Adm Sci Q 54(1):90–122CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Tobias Scholl
    • 1
  • Antonios Garas
    • 2
  • Frank Schweitzer
    • 2
  1. 1.Department of Geography, House of Logistics, Mobility (HOLM) GmbH, Frankfurt0Philipps University of MarburgMarburgGermany
  2. 2.Chair of Systems Design, ETH ZurichZurichSwitzerland

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