On Clustering in the Location of R&D: Statics and Dynamics
Robin Cowan and
William Cowan
Economics of Innovation and New Technology, 1998, vol. 6, issue 2-3, 201-230
Abstract:
Empirical analyses of research and development find strong evidence that these activities tend to cluster geographically. Clusters are thought to emerge from the presence of localized positive externalities. This paper presents a model of this clustering behaviour. We find that phase changes in clustering exist both as the strength of local externalities changes and as the degree of heterogeneity among firms changes. The dynamics of the system are examined as it responds to shocks to the size of the market for R&D output, and the length scale of the spatially dependent externalities. Dynamic responses take place in two distinct stages: a rapid response to the change in market systems which takes place throughout the space, with litlle regard to externality effects; followed by a slow re-agglomeration process as producers change their spatial decisions to lower the costs of the new production level.
Keywords: R&D; agglomeration; spatial models; interdependence; externalities J.E.L. Classification: D21; 032; R1I. R12; R30 (search for similar items in EconPapers)
Date: 1998
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/10438599800000020 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecinnt:v:6:y:1998:i:2-3:p:201-230
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GEIN20
DOI: 10.1080/10438599800000020
Access Statistics for this article
Economics of Innovation and New Technology is currently edited by Professor Cristiano Antonelli
More articles in Economics of Innovation and New Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().