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Centrality and get-richer mechanisms in interregional knowledge networks

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  • Timo Mitze
  • Falk Strotebeck

Abstract

This study analyzes the determinants of a region’s centrality position in research collaboration networks and their variation over time. Focusing on the German biotechnology industry, we use data on collaboration activities among NUTS-3 regions in 2005 and 2009 to construct centrality measures and relate them to sector-region-specific and overall regional attributes in an explorative regression approach. The results indicate that fit-get-richer mechanisms proxied by regional endowments and policy factors such as biotech research and development funding categories and human capital matter for network formation. We find that these correlations differ across centrality measures and that empirical evidence for a richer-get-richer mechanism is limited.

Suggested Citation

  • Timo Mitze & Falk Strotebeck, 2018. "Centrality and get-richer mechanisms in interregional knowledge networks," Regional Studies, Taylor & Francis Journals, vol. 52(11), pages 1477-1489, November.
    • Handle: RePEc:taf:regstd:v:52:y:2018:i:11:p:1477-1489
    DOI: 10.1080/00343404.2018.1424992
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    Cited by:

    1. Lea F. Stöber & Marius Boesino & Andreas Pyka & Franziska Schuenemann, 2023. "Bioeconomy Innovation Networks in Urban Regions: The Case of Stuttgart," Land, MDPI, vol. 12(4), pages 1-22, April.
    2. Valentina Meliciani & Daniela Cagno & Andrea Fabrizi & Marco Marini, 2022. "Knowledge networks in joint research projects, innovation and economic growth across European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 549-586, June.
    3. Weidenfeld, Adi & Makkonen, Teemu & Clifton, Nick, 2021. "From interregional knowledge networks to systems," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    4. Qin Ye & Xiaolei Xu, 2021. "Determining factors of cities’ centrality in the interregional innovation networks of China’s biomedical industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2801-2819, April.

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