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Firm‐specific cluster effects: A meta‐analysis

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  • Nils Grashof

Abstract

The aim of this paper is to investigate the alleged effect of clusters on firm performance and the moderating influence of the specific context by conducting a meta‐analysis of the relevant empirical literature. Therefore four different performance variables from four separate publication databases are considered. The final sample of the meta‐analysis consists of 168 empirical studies. The statistical integration of the corresponding results of these empirical studies indicates that there exists relatively weak evidence for a pure firm‐specific cluster effect. Instead, it can be asserted that several variables from different levels of analysis directly or interactively moderate the relationship between clusters and firm's success. El objetivo de este artículo es investigar el supuesto efecto de los conglomerados (clusters) en el desempeño de las empresas y la influencia moderadora del contexto específico mediante un metaanálisis de la literatura empírica pertinente. Se consideran cuatro variables de desempeño diferentes de cuatro bases de datos distintas de publicaciones. La muestra final del metaanálisis consistió en 168 estudios empíricos. La integración estadística de los resultados correspondientes de estos estudios empíricos indica que las pruebas existentes de un efecto puro de conglomeración específico para las empresas son relativamente débiles. En cambio, se puede afirmar que una serie de variables de diferentes niveles del análisis moderan de forma directa o interactiva la relación entre los conglomerados y el éxito de la empresa. 本校の目的は、重要な実証的研究論文のメタアナリシスにより、企業パフォーマンスに対するクラスターの考えられる効果および特定のコンテキストの調整効果を検討することである。そこで、4つの別々のパブリケーション・データベースから得られた4つの異なるパフォーマンス変数(performance variable)を考慮する。メタアナリシスの最終サンプルは、168の実証的研究から成る。これらの実証研究の結果を統計的に統合すると、純粋な企業固有のクラスター効果については比較的弱いエビデンスが存在することが示される。その代わりに、さまざまなレベルの分析から得られるいくつかの変数が、クラスターと企業の成功との関連性を、直接的あるいは交互作用的に調整していると主張することができる。

Suggested Citation

  • Nils Grashof, 2020. "Firm‐specific cluster effects: A meta‐analysis," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1237-1260, October.
  • Handle: RePEc:bla:presci:v:99:y:2020:i:5:p:1237-1260
    DOI: 10.1111/pirs.12526
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    1. Guo, Di & Jiang, Kun & Xu, Chenggang & Yang, Xiyi, 2023. "Geographic clusters, regional productivity and resource reallocation across firms: Evidence from China," Research Policy, Elsevier, vol. 52(2).
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