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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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  • 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.

Suggested Citation

  • Hans Ouwersloot & Piet Rietveld, 2000. "The Geography of R&D; Tobit Analysis and Bayesian Approach to Mapping R&D Activities for The Netherlands," Tinbergen Institute Discussion Papers 00-043/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20000043
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    Cited by:

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    2. João J. M. Ferreira & Cristina I. Fernandes & Mário L. Raposo & Roy Thurik & João R. Faria, 2016. "Entrepreneur location decisions across industries," International Entrepreneurship and Management Journal, Springer, vol. 12(4), pages 985-1006, December.
    3. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2023. "Does context matter? Exploring the effects of productive structures on the relationship between innovation and workforce skills’ complementarity," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 1991-2011, June.
    4. Beaudry, Catherine & Schiffauerova, Andrea, 2009. "Who's right, Marshall or Jacobs? The localization versus urbanization debate," Research Policy, Elsevier, vol. 38(2), pages 318-337, March.
    5. Josep-Maria Arauzo-Carod & Elisabet Viladecans-Marsal, 2009. "Industrial Location at the Intra-Metropolitan Level: The Role of Agglomeration Economies," Regional Studies, Taylor & Francis Journals, vol. 43(4), pages 545-558.
    6. Elisabet Viladecans Marsal & Josep Maria Arauzo Carod, "undated". "Industrial Location at the Intra-metropolitan Level: A Negative Binomial Approach," Studies on the Spanish Economy 224, FEDEA.
    7. Kleoniki Kalapouti & Nikos Varsakelis, 2015. "Intra and inter: regional knowledge spillovers in European Union," The Journal of Technology Transfer, Springer, vol. 40(5), pages 760-781, October.
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    9. Michael Fritsch & Viktor Slavtchev, 2010. "How does industry specialization affect the efficiency of regional innovation systems?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 87-108, August.
    10. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2024. "How Do Agglomeration Externalities and Workforce Skills Drive Innovation? Empirical Evidence from Italy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6737-6760, June.
    11. Kleoniki Kalapouti & Konstantinos Petridis & Chrisovalantis Malesios & Prasanta Kumar Dey, 2020. "Measuring efficiency of innovation using combined Data Envelopment Analysis and Structural Equation Modeling: empirical study in EU regions," Annals of Operations Research, Springer, vol. 294(1), pages 297-320, November.
    12. João Ricardo Faria & Mauricio Prado & João J. Ferreira, 2022. "Informality, Infrastructure Investments, and New Firms’ Creation: The Location Strategy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 321-331, March.

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