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General Equilibrium Long-Run Determinants for Spanish FDI: A Spatial Panel Data Approach

Author

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  • Jaime Martínez-Martín

    (Faculty of Economics, University of Barcelona)

Abstract

While general equilibrium theories of trade stress the role of third-country effects, little work has been done in the empirical foreign direct investment (FDI) literature to test such spatial linkages. This paper aims to provide further insights into long-run determinants of Spanish FDI by considering not only bilateral but also spatially weighted third-country determinants. The few studies carried out so far have focused on FDI flows in a limited number of countries. However, Spanish FDI outflows have risen dramatically since 1995 and today account for a substantial part of global FDI. Therefore, we estimate recently developed Spatial Panel Data models by Maximum Likelihood (ML) procedures for Spanish outflows (1993-2004) to top-50 host countries. After controlling for unobservable effects, we find that spatial interdependence matters and provide evidence consistent with New Economic Geography (NEG) theories of agglomeration, mainly due to complex (vertical) FDI motivations. Spatial Error Models estimations also provide illuminating results regarding the transmission mechanism of shocks.

Suggested Citation

  • Jaime Martínez-Martín, 2009. "General Equilibrium Long-Run Determinants for Spanish FDI: A Spatial Panel Data Approach," IREA Working Papers 200917, University of Barcelona, Research Institute of Applied Economics, revised Jun 2009.
    • Handle: RePEc:ira:wpaper:200917
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    More about this item

    Keywords

    Foreign Direct Investment; Spatial Econometrics; Panel Data.;
    All these keywords.

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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