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Differenziali Territoriali di Produttivita' ed Efficienza negli Anni '90: i Livelli e l'Andamento

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Abstract

Nel presente lavoro, dopo avere effettuato una rassegna degli approcci esistenti in letteratura sulle ragioni dello sviluppo dualistico dell'economia italiana, si argomenta che per valutare il potere esplicativo di questi approcci e' importante esaminare alcune loro predizioni empiriche relativamente a livello e andamento della produttivita' totale dei fattori, nonche' degli elementi in cui queste variabili possono essere scomposte. Basandosi sui dati dell'Indagine del Mediocredito Centrale, vengono quindi calcolati per gli anni '90 misure di efficienza tecnica, di scala e allocativa, nonche' degli indici di Malmquist, per un campione piuttosto ampio (e territorialmente diversificato) di imprese manifatturiere. Dai risultati di questa analisi e' possibile desumere la rilevanza di consistenti differenziali territoriali di efficienza tecnica e allocativa, ancorche' in minor grado per quest ultima. Effetti di scala sono meno rilevanti between regions, ma acquistano una certa importanza dal punto di vista delle variazioni nel tempo. L'eccesso di costo dovuto a una troppo alta quota capitale/lavoro e significativamente piu' elevato per il Mezzogiorno, e acquista maggiore rilevanza per tutto il Paese negli ultimi anni del campione.

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Bibliographic Info

Paper provided by CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy in its series CELPE Discussion Papers with number 59.

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Date of creation: Jan 2001
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Handle: RePEc:sal:celpdp:59

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Keywords: FDH; DEA; regional labor markets; technical efficiency; scale efficiency; allocative efficiency;

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Cited by:
  1. Fabrizio Erbetta & Carmelo Petraglia, 2011. "Drivers of Regional Efficiency Differentials in Italy: Technical Inefficiency or Allocative Distortions?," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 42(3), pages 351-375, 09.
  2. Lilia Costabile, 2002. "Aspetti economici del "Libro Bianco del Ministero del Lavoro"," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2002(77).
  3. Joseph Byrne & Giorgio Fazio & Davide Piacentino, 2005. "Convergence in TFP among Italian Regions - Panel Unit Roots with Heterogeneity and Cross Sectional Dependence," ERSA conference papers ersa05p591, European Regional Science Association.
  4. Sena, Vania, 2006. "The determinants of firms' performance: Can finance constraints improve technical efficiency?," European Journal of Operational Research, Elsevier, vol. 172(1), pages 311-325, July.
  5. Costabile Lilia, 2001. "Il Libro Bianco del Ministero del Lavoro. Una nota critica," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 4, pages 869-894.
  6. FARACE, Salvatore & MAZZOTTA, Fernanda, 2011. "Bivariate Probit Models for Analysing how “Knowledge” Affects Innovation and Performance in Small and Medium Sized Firms," CELPE Discussion Papers 120, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
  7. Nadia Netti, 2006. "The Wage Curve in Italian Manufacturing Industry," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 2, May.
  8. 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.
  9. Davide Piacentino, 2008. "Productivity, Infrastructures and Convergence: Panel Data Evidence on Italian Regions," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2008(2), pages 5-26.

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