A spatial multilevel analysis of Italian SMEs Productivity
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.
|Date of creation:||Jun 2009|
|Date of revision:|
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- Joseph Byrne & Giorgio Fazio & Davide Piacentino, 2009. "Total Factor Productivity Convergence among Italian Regions: Some Evidence from Panel Unit Root Tests," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 63-76.
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"Why demand uncertainty curbs investment: Evidence froma a panel of Italian manufacturing firms,"
Temi di discussione (Economic working papers)
621, Bank of Italy, Economic Research and International Relations Area.
- Bontempi, Maria Elena & Golinelli, Roberto & Parigi, Giuseppe, 2010. "Why demand uncertainty curbs investment: Evidence from a panel of Italian manufacturing firms," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 218-238, March.
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- Andrés Rodríguez-Pose, 2010.
"Do institutions matter for regional development?,"
2010-02, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
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- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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