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The Geography of R&D; Tobit Analysis and Bayesian Approach to Mapping R&D Activities for The Netherlands

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Author Info

  • Hans Ouwersloot

    (Universiteit Maastricht)

  • Piet Rietveld

    ()
    (Vrije Universiteit Amsterdam)

Abstract

Regions vary strongly according to the participation of firms in R&Dactivity.By linking data on R&D activity at thefirm level with GIS based data on economic, and other locationfeatures of zoneswe are able to investigate the impactof local factors on R&D involvement for various types of firms.The relative importance of local factors as determinants of R&Dinvolvement ofthe firms is estimated by means of atobit model. Rather strong differences are found between zones in thesame urbanregion. For example modernmanufacturing firms located in the centre of the large cities haverelativelylow levels of R&D, the opposite holds forrings of zones at a certain distance from the cities. Bayesianmethods are usedfor map presentations of the survey data.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 00-043/3.

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Date of creation: 06 Jun 2000
Date of revision:
Handle: RePEc:dgr:uvatin:20000043

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Web page: http://www.tinbergen.nl

Related research

Keywords: R&D; innovation; space; Bayesian approach;

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References

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  1. E J Malecki & P Nijkamp, 1988. "Technology and regional development: some thoughts on policy," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 6(4), pages 383-399, August.
  2. A J Scott & D P Angel, 1987. "The US semiconductor industry: a locational analysis," Environment and Planning A, Pion Ltd, London, vol. 19(7), pages 875-912, July.
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Cited by:
  1. Josep Maria Arauzo-Carod & Elisabet Viladecans-Marsal, 2006. "Industrial Location At the Intra-Metropolitan Level: A Negative Binomial Approach," ERSA conference papers ersa06p129, European Regional Science Association.

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