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A spatial multilevel analysis of Italian SMEs Productivity

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  • Giorgio Fazio
  • Davide Piacentino

Abstract

In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is important to allow for both spatial mean and slope effects. Social decay has the expected negative impact. However, while this effect is larger on firms with smaller capital intensity, firms with higher capital intensity seem to be less affected by geography. Greater territorial heterogeneity emerges among those firms with lower capital to labour ratios.

Suggested Citation

  • Giorgio Fazio & Davide Piacentino, 2009. "A spatial multilevel analysis of Italian SMEs Productivity," Working Papers 2009_31, Business School - Economics, University of Glasgow.
    • Handle: RePEc:gla:glaewp:2009_31
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    References listed on IDEAS

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    More about this item

    Keywords

    Firm heterogeneity; Spatial variability; Socio-economic Context; Multilevel Analysis;
    All these keywords.

    JEL classification:

    • 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
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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