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Employment Growth of Small High-technology Firms and the Role of Horizontal Clustering

Evidence from Computing Services and R&D in Great Britain, 1991-2000

Bibliographic Data

ID10860686
AuthorsBernard Fingleton (0000-0001-7359-643X, University of Cambridge, corresponding author), Danilo Camargo Igliori (University of Cambridge), D Igliori (University of Cambridge, corresponding author), Barry Moore (0000-0001-6397-7570, University of Cambridge, corresponding author)
Year2004
Volume41
Issue4
Pages773-799
Publication date2004-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1080/0042098042000194106
OpenAlexW2070622232
LanguageEN
Citations received15
References cited14

This paper provides new evidence that, controlling for other effects, the growth of employment in high-technology SMEs depends on the initial horizontal clustering. The paper focuses on employment change over the period 1991-2000 in computing services and research and development (R&D) industries analysed at the local and county level within Great Britain. A new measure is proposed to map clustering in each sector. In the main section of the paper, spatial econometric models are estimated controlling for supply- and demand-side conditions, human capital, the local economic environment and spatial externalities in order to isolate the effect of initial clustering level. The estimates support the hypothesis that clustering is a cause of employment growth, although there are important differences of geographical scale at which this effect operates for the two sectors considered. The paper raises some important issues regarding the implied dynamics associated with the evolution of clustering

Business · Capital (architecture · Cluster analysis · Econometrics · Economic geography · Economic growth · Economics · Externality · Geography · Human capital · Industrial organization · Microeconomics · Order (exchange · Regional science · Scale (ratio · Computer Science · Finance · Firm Innovation and Growth · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

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Unique citing works15
Citations per year0,75
Citation span2006 - 2024 (19)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 15

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