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Cities and Clusters: Economy-Wide and Sector-Specific Effects in Corporate Location

Author

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  • Giulio Bottazzi
  • Ugo M. Gragnolati

Abstract

Are the observed spatial distributions of firms decided mostly by market-mediated, economy-wide locational forces, or rather by non-pecuniary, sector-specific ones? This work finds that the latter kind of forces weight systematically more than the former in deciding firm location. The analysis uses Italian data on manufacturing sectors spatially disaggregated at the level of Local Labor Market Areas. Other than the results for the whole of Italy in 1991 and 2001, the paper also provides results for the four macroregions that compose the country.

Suggested Citation

  • Giulio Bottazzi & Ugo M. Gragnolati, 2011. "Cities and Clusters: Economy-Wide and Sector-Specific Effects in Corporate Location," L'industria, Società editrice il Mulino, issue 4, pages 577-614.
  • Handle: RePEc:mul:j0hje1:doi:10.1430/35939:y:2011:i:4:p:577-614
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    Cited by:

    1. Giulio Bottazzi & Fabio Vanni, 2014. "A numerical estimation method for discrete choice models with non-linear externalities," LEM Papers Series 2014/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Giulio Bottazzi & Ugo M. Gragnolati & Fabio Vanni, 2017. "Non-linear externalities in firm localization," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1138-1150, August.
    3. Thomas Brenner, 2017. "Identification of Clusters - An Actor based Approach," Working Papers on Innovation and Space 2017-02, Philipps University Marburg, Department of Geography.

    More about this item

    Keywords

    Firm Location; Localization Economies; Urbanization Economies; Maximum Likelihood Estimates; L100; C310; R300.;

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • 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
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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