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When Do Global Pipelines Enhance the Diffusion of Knowledge in Clusters

Bibliographic Data

ID4880130
AuthorsAndrea Morrison (0000-0002-1878-6780, URU Section of Economic Geography Faculty of Geosciences Utrecht University Heidelberglaan 2 PO Box 80115 3508 TC Utrecht The Netherlands, corresponding author), Roberta Rabellotti (0000-0001-7637-3645, Department of Political and Social Science University of Pavia Via Strada Nuova 56 27100 Pavia Italy, corresponding author), Lorenzo Zirulia (0000-0002-2876-2037, KITeS Bocconi University Via Roentgen 1 20136 Milano Italy, corresponding author)
Year2013
Volume89
Issue1
Pages77-96
Publication date2013-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomic Geography (JOURNAL)
Journal identifiersISSN: 0013-0095 • E-ISSN: 1944-8287
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1944-8287.2012.01167.x
OpenAlexW1730935905
LanguageEN
Citations received53
References cited52

Recent studies have stressed the role played by global pipelines in fostering the growth of clusters and innovativeness. In this article, we develop a formal model to investigate when global pipelines contribute to an increase in local knowledge, depending on various characteristics of clusters such as size, knowledge endowment, and the ease of transmission of internal knowledge. This model is an extension ofCowan andJonard's () model in which we introduce the concept of cluster and a role for spatial proximity in the diffusion of knowledge. Our results reveal that there is a natural tendency of actors within global pipelines to act as external stars, rather than gatekeepers of knowledge. Global pipelines are beneficial for the accumulation of knowledge only if the cluster is either characterized by a high-quality local buzz or is small and weakly endowed in terms of knowledge

Business · Cluster (spacecraft) · Diffusion · Economic geography · Endowment · Geography · Knowledge management · Marketing buzz · Physics · Pipeline transport · Political science · Quality (philosophy) · Computer Science · Environmental Science · Innovation and Knowledge Management · Regional Economics and Spatial Analysis · University-Industry-Government Innovation Models

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Unique citing works53
Citations per year4,42
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 51

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