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A Spatial Multilevel Analysis of Italian SMEs' Productivity

  • 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. Une analyse spatiale á plusieurs niveaux de la productivité de PME italiennes Résumé dans la présente communication, nous adaptons des méthodes d'analyse à plusieurs niveaux pour examiner la variabilité spatiale de la productivité de PME sur l'intégralité du territoire italien, et évaluer les différences sur un plan socio-économique. Nos résultats indiquent que pour saisir correctement la variabilité des données, il est important de tenir compte à la fois de la moyenne spatiale et des effets des pentes. La désintégration sociale a l'effet négatif escompté. Toutefois, tandis que cet effet est plus important pour des entreprises à moindre intensité capitalistique, les entreprises à intensité capitalistique majeure semblent être moins affectées par des facteurs géographiques. On relève une hétérogénéité majeure parmi les entreprises au ratio capital/main-d’œuvre inférieur. Un análisis espacial de niveles múltiples de la productividad de pequeñ as y medianas empresas italianas Extracto En este trabajo, adaptamos métodos de análisis de niveles múltiples para investigar la variabilidad espacial de la productividad de pequeñas y medianas empresas a lo largo del territorio italiano, y tenemos en cuenta las diferencias dentro del contexto socioeconómico. Nuestros resultados sugieren que para capturar apropiadamente la variabilidad de los datos, es importante tener en consideración los efectos de la pendiente y media espacial. El deterioro social tiene el efecto negativo esperado. No obstante, aunque este efecto es mayor en las empresas con una intensidad de capital menor, las empresas con una mayor intensidad de capital parecen estar menos afectadas por la geografía. Una mayor heterogeneidad territorial emerge entre las empresas con relaciones más bajas entre capital y mano de obra.

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Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 5 (2010)
Issue (Month): 3 ()
Pages: 299-316

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Handle: RePEc:taf:specan:v:5:y:2010:i:3:p:299-316
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  1. Andrés Rodríguez-Pose, 2010. "Do institutions matter for regional development?," Working Papers 2010-02, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
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  3. Rodriguez-Pose, Andres, 1998. "Dynamics of Regional Growth in Europe: Social and Political Factors," OUP Catalogue, Oxford University Press, number 9780198233831, March.
  4. 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.
  5. 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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  7. I.P. Ottaviano, Gianmarco, 2008. "Infrastructure and economic geography: An overview of theory and evidence," EIB Papers 6/2008, European Investment Bank, Economics Department.
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