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Identification of Clusters - An Actor based Approach

Author

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  • Thomas Brenner

    (Department of Geography, Philipps University Marburg)

Abstract

This paper provides two things. First, it gives an overview on the existing top-down methods for the identification of clusters (Section II). Second, it presents a new method that has been recently introduced by Scholl and Brenner (2016) in a basic version. However, the existing version of this approach is limited and does not take full advantage of its potential. The approach is further developed here and its characteristics and the procedure of its use are presented and discussed in detail (Section III).

Suggested Citation

  • Thomas Brenner, 2017. "Identification of Clusters - An Actor based Approach," Working Papers on Innovation and Space 2017-02, Philipps University Marburg, Department of Geography.
    • Handle: RePEc:pum:wpaper:2017-02
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    File URL: https://repec.geographie.uni-marburg.de/pum/wpaper/wp0217.pdf
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    References listed on IDEAS

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    Cited by:

    1. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    2. Hesse, Kolja, 2020. "Unlocking the radical potential of German innovators How can R&D policy foster radical innovation?," Papers in Innovation Studies 2020/5, Lund University, CIRCLE - Centre for Innovation Research.
    3. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    4. Nils Grashof & Dirk Fornahl, 2021. "“To be or not to be” located in a cluster?—A descriptive meta-analysis of the firm-specific cluster effect," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 541-591, December.
    5. tobias König & thomas Brenner, 2022. "Skill shortages and industry clusters – Empirical evidence from German establishment data," IAW Discussion Papers 140, Institut für Angewandte Wirtschaftsforschung (IAW).
    6. Nils Grashof, 2019. "Firm-specific cluster effects - A meta-analysis," Bremen Papers on Economics & Innovation 1906, University of Bremen, Faculty of Business Studies and Economics.
    7. Tobias Ebert & Jochen E. Gebauer & Thomas Brenner & Wiebke Bleidorn & Samuel D. Gosling & Jeff Potter & P. Jason Rentfrow, 2019. "Are Regional Differences in Personality and their Correlates robust? Applying Spatial Analysis Techniques to Examine Regional Variation in Personality across the U.S. and Germany," Working Papers on Innovation and Space 2019-05, Philipps University Marburg, Department of Geography.
    8. Nils Grashof & Dirk Fornahl, 2020. "To be or not to be located in a cluster? A descriptive meta-analysis of the firm-specific cluster effect," Working Papers on Innovation and Space 2020-01, Philipps University Marburg, Department of Geography.
    9. Nils Grashof, 2020. "Spill over or Spill out? - A multilevel analysis of the cluster and firm performance relationship," Papers in Evolutionary Economic Geography (PEEG) 2013, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2020.

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    More about this item

    Keywords

    Cluster; cluster identification; spatial methods;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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