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Spatial clustering and nonlinearities in the location of multinational firms

Author

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  • Roberto Basile
  • Luigi Benfratello
  • Davide Castellani

Abstract

We propose a semiparametric geoadditive negative binomial model of industrial location which allows to simultaneously address some important methodological issues, such as spatial clustering and nonlinearities, which have been only partly addressed in previous studies. We apply this model to analyze location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) allows to control for omitted variables which induce spatial clustering, and suggests that such unobserved factors may be related to regional policies towards foreign investors Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value.

Suggested Citation

  • Roberto Basile & Luigi Benfratello & Davide Castellani, 2011. "Spatial clustering and nonlinearities in the location of multinational firms," Quaderni del Dipartimento di Economia, Finanza e Statistica 90/2011, Università di Perugia, Dipartimento Economia.
  • Handle: RePEc:pia:wpaper:90/2011
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    References listed on IDEAS

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    1. Lisa De Propris & Nigel Driffield & Stefano Menghinello, 2005. "local industrial systems and the location of FDI in Italy," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 12(1), pages 105-121.
    2. Josep-Maria Arauzo-Carod & Daniel Liviano-Solis & Miguel Manjón-Antolín, 2010. "Empirical Studies In Industrial Location: An Assessment Of Their Methods And Results," Journal of Regional Science, Wiley Blackwell, vol. 50(3), pages 685-711.
    3. Paulo Guimaraes & Octávio Figueiredo & Douglas Woodward, 2004. "Industrial Location Modeling: Extending the Random Utility Framework," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 1-20.
    4. Luca De Benedictis & Massimo Tamberi, 2004. "Overall Specialization Empirics: Techniques and Applications," Open Economies Review, Springer, vol. 15(4), pages 323-346, October.
    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, 2004. "Agglomeration economies and industrial location: city-level evidence," Journal of Economic Geography, Oxford University Press, vol. 4(5), pages 565-582, November.
    7. Josep Maria Arauzo Carod, 2005. "Determinants of industrial location: An application for Catalan municipalities," Papers in Regional Science, Wiley Blackwell, vol. 84(1), pages 105-120, March.
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    Cited by:

    1. Francesco Venturini, 2011. "Product variety, product quality, and evidence of Schumpeterian endogenous growth: a note," Quaderni del Dipartimento di Economia, Finanza e Statistica 93/2011, Università di Perugia, Dipartimento Economia.

    More about this item

    Keywords

    industrial location; negative binomial models; geoadditive models; european union.;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business

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