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Decomposing multifactor productivity in Italy from 1998 to 2004: evidence from large firms and SMEs using DEA

Listed author(s):
  • Carlo Milana

    ()

  • Leopoldo Nascia

    ()

  • Alessandro Zeli

    ()

This paper presents a firm-level analysis of multifactor productivity (MFP) in Italy between 1998 and 2004. Using data envelopment analysis (DEA) technique, MFP change are measured for 31 industries and decomposed into efficiency change and technical change (which in turn is interpreted as the combined effect of technical progress and scale economies). The results highlight the stagnation in many Italian production activities and even a decrease in MFP in some industries. A non-parametric statistical test on the results obtained from DEA reveals that the analysed larger firms have been more likely to perform better in efficiency than the smaller ones. This outcome seems to complement the Schumpeterian view of a relatively high attitude of larger firms towards technological innovation and productivity growth. Copyright Springer Science+Business Media New York 2013

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File URL: http://hdl.handle.net/10.1007/s11123-013-0337-z
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Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 40 (2013)
Issue (Month): 1 (August)
Pages: 99-109

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Handle: RePEc:kap:jproda:v:40:y:2013:i:1:p:99-109
DOI: 10.1007/s11123-013-0337-z
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  1. Giovanni Dosi & Marco Grazzi & Chiara Tomasi & Alessandro Zeli, 2012. "Turbulence underneath the big calm? The micro-evidence behind Italian productivity dynamics," Small Business Economics, Springer, vol. 39(4), pages 1043-1067, November.
  2. Giulio Bottazzi & Marco Grazzi & Angelo Secchi & Federico Tamagni, 2011. "Financial and economic determinants of firm default," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 373-406, August.
  3. Ferraro, Paul J. & Rondeau, Daniel & Poe, Gregory L., 2003. "Detecting other-regarding behavior with virtual players," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 99-109, May.
  4. Diewert, Erwin & Fox, Kevin J., 2010. "Malmquist and Törnqvist Productivity Indexes: Returns to Scale and Technical Progress with Imperfect Competition," Economics working papers erwin_diewert-2010-5, Vancouver School of Economics, revised 13 Jul 2010.
  5. Matilde Mas & Carlo Milana & Lorenzo Serrano, 2012. "Spain and Italy: Catching-up and Falling Behind – Two Different Tales of Productivity Slowdown," Chapters,in: Industrial Productivity in Europe, chapter 6 Edward Elgar Publishing.
  6. Carlo Milana & Alessandro Zeli, 2002. "The Contribution of ICT to Production Efficiency in Italy: Firm-Level Evidence Using Data Envelopment Analysis and Econometric Estimations," OECD Science, Technology and Industry Working Papers 2002/13, OECD Publishing.
  7. Atkinson, Scott E & Cornwell, Christopher & Honerkamp, Olaf, 2003. "Measuring and Decomposing Productivity Change: Stochastic Distance Function Estimation versus Data Envelopment Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 284-294, April.
  8. W. Diewert & Kevin Fox, 2010. "Malmquist and Törnqvist productivity indexes: returns to scale and technical progress with imperfect competition," Journal of Economics, Springer, vol. 101(1), pages 73-95, September.
  9. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
  10. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
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