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Multilateral R&D Collaboration: An ERGM Application on Biotechnology

In: The Geography of Networks and R&D Collaborations

Author

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  • Çilem Selin Hazir

    (Université de Lyon
    Université Jean Monnet
    CNRS, GATE Lyon Saint-Etienne)

Abstract

This chapter presents an empirical study on formation of multilateral R&D collaboration networks among organizations. The objective of the study is to investigate how geography and heterogeneity in institutional types affect the way organizations come together around consortiums to perform R&D. It makes use of data on project proposals submitted to the 7th Framework Program (FP) in the field of biotechnology to construct a two-mode network. It employs extensions of exponential random graph models (ERGM) (Frank and Strauss, J Am Stat Assoc 81(395):832–842, 1986; Wasserman and Pattison, Psychometrika 61(3):401–425, 1996, for affiliation networks (Wang et al., Soc Netw 31:12–25, 2009). The results show that higher education institutions and research institutions tend to show higher connectivity and hence bridge learning across consortiums. Furthermore, organizations located in the core European countries tend to participate in the same consortium and these consortiums tend to be small in size. Finally, homophily in institutional types and network effects do not affect the formation process.

Suggested Citation

  • Çilem Selin Hazir, 2013. "Multilateral R&D Collaboration: An ERGM Application on Biotechnology," Advances in Spatial Science, in: Thomas Scherngell (ed.), The Geography of Networks and R&D Collaborations, edition 127, chapter 0, pages 221-237, Springer.
    • Handle: RePEc:spr:adspcp:978-3-319-02699-2_12
    DOI: 10.1007/978-3-319-02699-2_12
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    Citations

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    Cited by:

    1. Li, Jing & Yu, Qian, 2024. "Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective," Journal of Informetrics, Elsevier, vol. 18(1).
    2. Corinne Autant-Bernard & Nadine Massard & Robin Cowan, 2014. "Editors’ introduction to spatial knowledge networks: structure, driving forces and innovative performances," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 315-323, September.
    3. Cilem Hazir & Corinne Autant-Bernard, 2014. "Determinants of cross-regional R&D collaboration: some empirical evidence from Europe in biotechnology," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 369-393, September.
    4. Iris Wanzenböck, 2016. "Measuring network proximity of regions in R&D networks," Innovation Studies Utrecht (ISU) working paper series 16-03, Utrecht University, Department of Innovation Studies, revised Nov 2016.
    5. Xiaoyi Shi & Xiaoxia Huang & Huifang Liu, 2022. "Research on the Structural Features and Influence Mechanism of the Low-Carbon Technology Cooperation Network Based on Temporal Exponential Random Graph Model," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    6. Bing Wu & Shan Jiang & Hsinchun Chen, 2015. "The impact of individual attributes on knowledge diffusion in web forums," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2221-2236, November.

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