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Cluster Performance Reconsidered: Structure, Linkages and Paths in the German Bioteehnology Industry, 1996-2003

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  • Carolin Häussler
  • Hans-Martin Zademach

Abstract

We examine the evolution of biotechnology clusters in Germany between 1996 and 2003, paying particular attention to their composition in terms of venture capital, basic science institutions, and biotechnology firms. Drawing upon the significance of co-location of “money and ideas”, the literature stressing the importance of a cluster’s openness and external linkages, and the path dependency debate, we analyze how certain cluster characteristics correspond with each cluster’s overall performance. after defining different cluster types, we explore and compare the clusters’ internal and external interconnectivity, and investigate the extent to which the clusters’ structural composition has changed over time. Our results indicate that the structure, i.e., the type of cluster, and the cluster’s openness towards receiving external knowledge provide merely unsystematic indications of a cluster’s overall success. The cluster’s ability to modify its composition to a more balanced ratio of science and capital over time, in contrast, turns out to be a key explanatory factor.

Suggested Citation

  • Carolin Häussler & Hans-Martin Zademach, 2007. "Cluster Performance Reconsidered: Structure, Linkages and Paths in the German Bioteehnology Industry, 1996-2003," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 59(3), pages 261-281, July.
    • Handle: RePEc:sbr:abstra:v:59:y:2007:i:3:p:261-281
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    Cited by:

    1. Stepan P. Zemtsov & Pavel N. Pavlov & Alla V. Sorokina, 2016. "Specifics Of Cluster Policy In Russia," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(3), pages 499-536, September.
    2. Haeussler, Carolin, 2009. "The Economics of Knowledge Regulation: An Empirical Analysis of Knowledge Flows," Discussion Papers in Business Administration 8971, University of Munich, Munich School of Management.
    3. Alexander Bode & Ingo Däberitz & Juri Fionik, 2011. "Messung von Kooperationserfolg in Clustern," Schmalenbach Journal of Business Research, Springer, vol. 63(7), pages 662-688, November.
    4. Anastasiia Konstantynova & Tine Lehmann, 2017. "Cluster Activities in Different Institutional Environments. Case Studies of ICT-Clusters from Austria, Germany, Ukraine and Serbia," Administrative Sciences, MDPI, vol. 7(2), pages 1-15, May.
    5. Hoenen, Sebastian & Kolympiris, Christos & Schoenmakers, Wilfred & Kalaitzandonakes, Nicholas, 2014. "The diminishing signaling value of patents between early rounds of venture capital financing," Research Policy, Elsevier, vol. 43(6), pages 956-989.
    6. Kolympiris, Christos & Kalaitzandonakes, Nicholas & Miller, Douglas, 2015. "Location choice of academic entrepreneurs: Evidence from the US biotechnology industry," Journal of Business Venturing, Elsevier, vol. 30(2), pages 227-254.
    7. Hans-Martin Zademach & Manuel Rimkus, 2009. "Herausforderung Wissenstransfer in Clustern - Neues Wissen vom Biotechnologiestandort Martinsried," Schmalenbach Journal of Business Research, Springer, vol. 61(4), pages 416-438, June.

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    More about this item

    Keywords

    Basic Science; Biotechnology; Cluster Evolution; Dynamic Perspective; Germany; Venture Capital;
    All these keywords.

    JEL classification:

    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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