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Geoadditive models for regional count data: an application to industrial location

Author

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  • Roberto Basile

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  • Luigi Benfratello
  • Davide Castellani

Abstract

We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study 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) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. 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. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities. Keywords: Geoadditive models, Negative binomial models, Industrial location, European Union JEL classification: C14, C21, F14, F23

Suggested Citation

  • Roberto Basile & Luigi Benfratello & Davide Castellani, 2012. "Geoadditive models for regional count data: an application to industrial location," ERSA conference papers ersa12p83, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p83
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    References listed on IDEAS

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    1. Paulo Guimarães & Octávio Figueirdo & Douglas Woodward, 2003. "A Tractable Approach to the Firm Location Decision Problem," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 201-204, February.
    2. Frank Barry & Holger Görg & Eric Strobl, 2004. "Foreign direct investment, agglomerations, and demonstration effects: An empirical investigation," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 140(3), pages 583-600, September.
    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. Sergio De Nardis & Marco Malgarini, 2008. "Monitoring Italy 2007," Rivista di Politica Economica, SIPI Spa, vol. 98(2), pages 3-13, March-Apr.
    5. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114.
    6. Krugman, Paul, 1980. "Scale Economies, Product Differentiation, and the Pattern of Trade," American Economic Review, American Economic Association, vol. 70(5), pages 950-959, December.
    7. 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.
    8. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    9. Blonigen, Bruce A, 1997. "Firm-Specific Assets and the Link between Exchange Rates and Foreign Direct Investment," American Economic Review, American Economic Association, vol. 87(3), pages 447-465, June.
    10. 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.
    11. Augustin, Nicole H. & Musio, Monica & von Wilpert, Klaus & Kublin, Edgar & Wood, Simon N. & Schumacher, Martin, 2009. "Modeling Spatiotemporal Forest Health Monitoring Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 899-911.
    12. Luca De Benedictis & Massimo Tamberi, 2004. "Overall Specialization Empirics: Techniques and Applications," Open Economies Review, Springer, vol. 15(4), pages 323-346, October.
    13. 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.
    14. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    15. Baltagi, Badi H. & Egger, Peter & Pfaffermayr, Michael, 2007. "Estimating models of complex FDI: Are there third-country effects?," Journal of Econometrics, Elsevier, vol. 140(1), pages 260-281, September.
    16. 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.
    17. Roberto Basile & Alessandro Girardi, 2010. "Specialization and risk sharing in European regions," Journal of Economic Geography, Oxford University Press, vol. 10(5), pages 645-659, September.
    18. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, May.
    19. Bedassa Tadesse & Michael Ryan, 2004. "Host market characteristics, FDI, and the FDI - trade relationship," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 13(2), pages 199-229.
    20. Baltagi, Badi H. & Egger, Peter & Pfaffermayr, Michael, 2008. "Estimating regional trade agreement effects on FDI in an interdependent world," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 194-208, July.
    21. Cletus C. Coughlin & Eran Segev, 2000. "Location Determinants of New Foreign-Owned Manufacturing Plants," Journal of Regional Science, Wiley Blackwell, vol. 40(2), pages 323-351.
    22. Simon N. Wood, 2008. "Fast stable direct fitting and smoothness selection for generalized additive models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(3), pages 495-518.
    23. Blonigen, Bruce A. & Davies, Ronald B. & Waddell, Glen R. & Naughton, Helen T., 2007. "FDI in space: Spatial autoregressive relationships in foreign direct investment," European Economic Review, Elsevier, vol. 51(5), pages 1303-1325, July.
    24. Guimaraes, Paulo & Figueiredo, Octavio & Woodward, Douglas, 2000. "Agglomeration and the Location of Foreign Direct Investment in Portugal," Journal of Urban Economics, Elsevier, vol. 47(1), pages 115-135, January.
    25. 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.
    26. Head, C. Keith & Ries, John C. & Swenson, Deborah L., 1999. "Attracting foreign manufacturing: Investment promotion and agglomeration," Regional Science and Urban Economics, Elsevier, vol. 29(2), pages 197-218, March.
    27. J. Barkley Rosser, 2009. "Introduction," Chapters,in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
    28. Wheeler, David & Mody, Ashoka, 1992. "International investment location decisions : The case of U.S. firms," Journal of International Economics, Elsevier, vol. 33(1-2), pages 57-76, August.
    29. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, May.
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    Cited by:

    1. Davide Castellani & Valentina Meliciani & Loredana Mirra, 2016. "The Determinants of Inward Foreign Direct Investment in Business Services across European Regions," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 671-691, April.
    2. Gianni Guastella & Frank G. van Oort, 2015. "Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications," Regional Studies, Taylor & Francis Journals, vol. 49(11), pages 1772-1787, November.
    3. Roberto Basile & Alessandro Girardi & Marianna Mantuano & Francesco Pastore, 2012. "Sectoral shifts, diversification and regional unemployment: evidence from local labour systems in Italy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(4), pages 525-544, November.
    4. Eva Dettmann & Iciar Dominguez Lacasa & Jutta Guenther & Bjorn Jindra, 2013. "Determinants of foreign technological activity in German regions - a count model analysis of transnational patents (1996-2009)," HSE Working papers WP BRP 17/STI/2013, National Research University Higher School of Economics.
    5. Cristina Castelli & Davide Castellani, 2013. "The internationalisation of r&d: sectoral and geographic patterns of cross-border investments," ECONOMIA E POLITICA INDUSTRIALE, FrancoAngeli Editore, vol. 2013(1), pages 127-143.
    6. Eva Dettmann & Iciar Dominguez Lacasa & Jutta Guenther & Bjorn Jindra, 2014. "Determinants of Foreign Technological Activity in German Regions - A Count Model Analysis of Transnational Patents," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 8(1), pages 34-51.

    More about this item

    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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