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A Spatial Multilevel Analysis of Italian SMEs' Productivity

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Author Info

  • Giorgio Fazio
  • Davide Piacentino

Abstract

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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Bibliographic Info

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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Related research

Keywords: Firm heterogeneity; spatial variability; socio-economic context; multilevel analysis; C31; R11; R12; R30;

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References

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  1. 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.
  2. Andrés Rodríguez-Pose, 2010. "Do institutions matter for regional development?," Working Papers 2010-02, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
  3. Rodriguez-Pose, Andres, 1998. "Dynamics of Regional Growth in Europe: Social and Political Factors," OUP Catalogue, Oxford University Press, number 9780198233831.
  4. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  5. Luigi Guiso & Fabiano Schivardi, 2007. "Spillovers in Industrial Districts," Economic Journal, Royal Economic Society, vol. 117(516), pages 68-93, 01.
  6. Elena Bontempi & Roberto Golinelli & Giuseppe Parigi, 2007. "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.
  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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Citations

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Cited by:
  1. Giuseppe Espa & Danila Filipponi & Diego Giuliani & Davide Piacentino, 2013. "A spatial and sectoral analysis of firm demography in Italy," DEM Discussion Papers 2013/07, Department of Economics and Management.
  2. Aiello, Francesco & Pupo, Valeria & Ricotta, Fernanda, 2013. "Firm heterogeneity in TFP, sectoral innovation and geography. Evidence from Italy," MPRA Paper 48573, University Library of Munich, Germany.
  3. Martin Srholec & Pavla ?í?alová, 2013. "Does the local milieu matter for innovation? Multilevel evidence from the Czech Republic," ERSA conference papers ersa13p540, European Regional Science Association.
  4. Francesco Aiello & Valeria Pupo & Fernanda Ricotta, 2012. "Explaining Tfp At Firm Level In Italy. Does Location Matter?," Working Papers 201202, Università della Calabria, Dipartimento di Economia, Statistica e Finanza (Ex Dipartimento di Economia e Statistica).
  5. Aiello, Francesco & Ricotta, Fernanda, 2014. "Firm heterogeneity in productivity across Europe. What explains what?," MPRA Paper 56222, University Library of Munich, Germany.
  6. A. Lasagni & A. Nifo & G. Vecchione, 2012. "Firm productivity and institutional quality. Evidence from Italian industry," Economics Department Working Papers 2012-EP07, Department of Economics, Parma University (Italy).

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