Skip to main content

Employment Growth of Small Computing Services Firms and the Role of Horizontal Clusters: Evidence from Great Britain 1991–2000

  • Chapter
Book cover European Regional Growth

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

Abstract

In recent years, two overlapping topics have received particular attention by governments and researchers throughout the world, particularly in Europe. The emergence of local economies based on high-technology clusters and the role of small and medium sized enterprises (SMEs) in the generation of employment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Anselin L. 1988 Spatial Econometrics : Methods and Models. Kluwer Academic Publications, Dordrecht.

    Book  Google Scholar 

  • Anselin L. and Bera A.K. (1998) Spatial Dependence In Linear Regression Models With An Introduction To Spatial Econometrics, in Ulah A. and Giles D.A. (eds) Handbook of Applied Economic Statistics, pp. 237–289. Marcel Dekker, New York .

    Google Scholar 

  • Anselin L., Bera A.K., Florax R. and Yoon M.J. (1996) Simple Diagnostic Tests for Spatial Dependence, Regional Science and Urban Economics, 26: 77–104.

    Article  Google Scholar 

  • Antonelli C. (1999) The Evolution of the Industrial Organisation of the Production of Knowledge. Cambridge Journal of Economics 23: 243–260.

    Article  Google Scholar 

  • Baptista R. and Swann G. M. P. (1998) Clustering Dynamics in UK Computer Industries: A comparison with the USA, in Swann G.M.P., Prevezer M. and Stout D. (eds) The Dynamics Of Industrial Clustering: International Comparisons In Computing And Biotechnology. Oxford University Press, Oxford.

    Google Scholar 

  • Begg I. G. and Cameron G. C. (1987) High Technology Location and the Urban Areas of Great Britain. Discussion Paper Series. Department of Land Economy. University of Cambridge, Cambridge.

    Google Scholar 

  • Begg I. G. and Hodson D. (2001) The Location of Jobs in High-technology Industries in Great Britain in the 1990s mimeo, South Bank University: London.

    Google Scholar 

  • Burridge P. (1980) On the Cliff-Ord test for spatial autocorrelation. Journal of the Royal Statistical Society Series B 42: 107–8.

    Google Scholar 

  • Butchart R. L. (1987) A New UK Definition of the High Technology Industries. Economic Trends 400: 82–8.

    Google Scholar 

  • Camagni R. (1991) Innovation Networks: Spatial Perspectives. Belhaven Press, London.

    Google Scholar 

  • Case A.C., Rosen H.S. and Hines J.R. (1993) Budget Spillovers and Fiscal Policy Interdependence: Evidence from the States. Journal of Public Economics 52: 285–307.

    Article  Google Scholar 

  • DTI (1998) Our Competitive Future: building the knowledge driven economy. London.

    Google Scholar 

  • DTI (2001) Business Clusters in the UK — A First Assessment. London.

    Google Scholar 

  • European Commission (1996) Commission Recommendation of 3 April 1996 Concerning the Definition of Small and Medium-Sized Enterprises. Official Journal L 107 30/04/1996 0004 – 0009.

    Google Scholar 

  • Fingleton B. (1992) The Location of Employment in High-technology Manufacturing in Great Britain. Urban Studies 29: 1265–1276.

    Article  Google Scholar 

  • Fingleton B. (1994) The location of high-technology manufacturing in Great Britain : changes in the late 1980s. Urban Studies 31: 47–57.

    Article  Google Scholar 

  • Fingleton B. (1999) Spurious spatial regression: some Monte-Carlo results with a spatial unit root and spatial cointegration. Journal ofRegional Science 39: 1–19.

    Article  Google Scholar 

  • Fingleton B. (2000) Spatial econometrics, economic geography, dynamics and equilibrium : a third way? Environment & Planning A 32: 1481–1498.

    Article  Google Scholar 

  • Fingleton B. (2001) Theoretical economic geography and spatial econometrics : dynamic perspectives. Journal of Economic Geography 1: 201–225.

    Article  Google Scholar 

  • Freeman C. (1995) The ‘National System of Innovation’ in historical perspective. Cambridge Journal of Econonics 19: 5–24.

    Google Scholar 

  • Johnston J. (1984) Econometric Methods. McGraw-Hill, New York.

    Google Scholar 

  • Keeble D., Lawson C., Moore B. and Wilkinson F. (1999) Collective Learning Processes, Networking and Institutional Thickness in the Cambridge Region. Regional Studies 33: 319–32.

    Article  Google Scholar 

  • Keeble D. (2000) Collective Learning Processes in European High-Technology Milieux, in Keeble D. and Wilkinson F. (eds.) (2000). High-Technology Clusters, Networking and Collective Learning in Europe. Ashgate, Aldershot.

    Google Scholar 

  • Keeble D. and Wilkinson F. (eds.) (2000) High-Technology Clusters, Networking and Collective Learning in Europe. Ashgate, Aldershot.

    Google Scholar 

  • Kennedy P. (1992) A Guide to Econometrics. Blackwell, Oxford.

    Google Scholar 

  • Krugman P. R. (1991a) Geography and Trade. MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Krugman P. R., (1991 b) Increasing Returns and Economic Geography. Journal of Political Economy 99: 483 – 499.

    Article  Google Scholar 

  • Krugman P. R. (1995) Development, Geography, and Economic Theory. MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Leser C. (1966) Econometric Techniques and Problems. Griffin, London.

    Google Scholar 

  • Marshall A. (1920) Principles of Economics. Macmillan, London.

    Google Scholar 

  • Pike F. et al (1990) Industrial Districts and Inter-firm Co-operation in Italy. International Institute for Labour Studies, Geneva.

    Google Scholar 

  • Pike F. and Sengenberger W. (1992) Industrial Districts and Local Economic Regeneration. International Institute for Labour Studies, Geneva.

    Google Scholar 

  • Porter M. E. (1990) The Competitive Advantage ofNations. Macmillan Press, London.

    Google Scholar 

  • Porter M. E. (1998) Clusters and the New Economics of Competition Harvard Business Review, November/December 77–90.

    Google Scholar 

  • Royston J. P. (1983) A simple method for evaluating the Shapiro-Francia W test of nonnormality. The Statistician 32: 297–300.

    Article  Google Scholar 

  • Shapiro S. S., and Francia R. S. (1972) An approximate analysis of variance test for normality. Journal of the American Statistical Association 67: 215.

    Article  Google Scholar 

  • Storper M. (1997) The Regional World: Territorial Development in a Global Economy. Guilford, New York.

    Google Scholar 

  • Wilkinson F. and Moore B. (2000) Concluding Reflections: Some Policy Implications, in Keeble D. and Wilkinson F. (eds.) (2000) High-Technology Clusters, Networking and Collective Learning in Europe. Ashgate, Aldershot.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Fingleton, B., Igliori, D.C., Moore, B. (2003). Employment Growth of Small Computing Services Firms and the Role of Horizontal Clusters: Evidence from Great Britain 1991–2000. In: Fingleton, B. (eds) European Regional Growth. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07136-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-07136-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05571-3

  • Online ISBN: 978-3-662-07136-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics