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Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries

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  • Reinhold Kosfeld
  • Mirko Titze

Abstract

Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.

Suggested Citation

  • Reinhold Kosfeld & Mirko Titze, 2017. "Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries," International Regional Science Review, , vol. 40(5), pages 530-558, September.
  • Handle: RePEc:sae:inrsre:v:40:y:2017:i:5:p:530-558
    DOI: 10.1177/0160017615590158
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    References listed on IDEAS

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    1. Luciana Lazzeretti & Silvia Rita Sedita & Annalisa Caloffi, 2014. "Founders and disseminators of cluster research," Journal of Economic Geography, Oxford University Press, vol. 14(1), pages 21-43, January.
    2. Matthias Brachert & Mirko Titze & Alexander Kubis, 2011. "Identifying industrial clusters from a multidimensional perspective: Methodical aspects with an application to Germany," Papers in Regional Science, Wiley Blackwell, vol. 90(2), pages 419-439, June.
    3. Jose Claudio Pires & Tulio Cravo & Simon Lodato & Caio Piza, 2013. "Industrial Clusters and Economic Performance in Brazil," OVE Working Papers 0513, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
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    5. Edward J. Feser & Stuart H. Sweeney, 2000. "A test for the coincident economic and spatial clustering of business enterprises," Journal of Geographical Systems, Springer, vol. 2(4), pages 349-373, December.
    6. Mirko Titze & Matthias Brachert & Alexander Kubis, 2011. "The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)," Regional Studies, Taylor & Francis Journals, vol. 45(1), pages 89-102.
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    Cited by:

    1. Reinhold Kosfeld & Timo Mitze, 2020. "The role of R&D-intensive clusters for regional competitiveness," MAGKS Papers on Economics 202001, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Vahidin Jeleskovic & Steffen Loeber, 2023. "How industrial clusters influence the growth of the regional GDP: A spatial-approach," Papers 2401.10261, arXiv.org.

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