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Spatial clustering and nonlinearities in the location of multinational firms

  • Roberto Basile
  • Luigi Benfratello
  • Davide Castellani

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.

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Paper provided by Università di Perugia, Dipartimento Economia in its series Quaderni del Dipartimento di Economia, Finanza e Statistica with number 90/2011.

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Length: 36 pages
Date of creation: 02 May 2011
Date of revision:
Handle: RePEc:pia:wpaper:90/2011
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  1. 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.
  2. 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.
  3. 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.
  4. Josep Maria Arauzo Carod, . "Determinants of industrial location. An application for Catalan municipalities," Studies on the Spanish Economy 138, FEDEA.
  5. Luca De Benedictis & Massimo Tamberi, 2004. "Overall Specialization Empirics: Techniques and Applications," Open Economies Review, Springer, vol. 15(4), pages 323-346, October.
  6. 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.
  7. repec:urv:wpaper:2072/4288 is not listed on IDEAS
  8. 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.
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