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


Author Info

  • Hans Ouwersloot

    (Universiteit Maastricht)

  • Piet Rietveld

    (Vrije Universiteit Amsterdam)


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
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Handle: RePEc:dgr:uvatin:20000043

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

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  1. 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.
  2. Nijkamp, P. & Malecki, E.J., 1987. "Technology and regional development : some thoughts on policy," Serie Research Memoranda, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics 0057, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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Cited by:
  1. Elisabet Viladecans Marsal & Josep Maria Arauzo Carod, . "Industrial Location at the Intra-metropolitan Level: A Negative Binomial Approach," Studies on the Spanish Economy, FEDEA 224, FEDEA.


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