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The uneven and selective nature of cluster knowledge networks: evidence from the wine industry

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  • Giuliani, Elisa

    (University of Pisa and SPRU Univity. of Sussex)

Abstract

Most of the studies about industrial clusters and innovation stress the importance of firms’ geographical proximity and their embeddedness in local business networks, as factors that positively affect their learning and innovation processes. More recently, scholars have started to claim that firm-specific characteristics should be considered to be central in the process of learning and innovation in clusters. This paper contributes to this latter direction of research. It applies social network analysis to explore the structural properties of knowledge networks in three wine clusters in Italy and Chile. The results show that in spite of firms’ geographical proximity and the pervasiveness of local business networks, innovation-related knowledge is diffused in clusters in a highly selective and uneven way. This pattern is found to be related to the heterogeneous and asymmetric distribution of firm knowledge bases in the clusters.

Suggested Citation

  • Giuliani, Elisa, 2006. "The uneven and selective nature of cluster knowledge networks: evidence from the wine industry," Papers in Innovation Studies 2006/11, Lund University, CIRCLE - Centre for Innovation Research.
    • Handle: RePEc:hhs:lucirc:2006_011
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    References listed on IDEAS

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    Cited by:

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    2. Ekaterina Turkina & Boris Oreshkin, 2021. "The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration," Sustainability, MDPI, vol. 13(13), pages 1-17, June.

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    More about this item

    Keywords

    Clusters; firm knowledge base; knowledge network; business network; wine industry.;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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