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Localized introduction of biased technological change and productivity growth. The empirical evidence in the Italian manufacturing industry

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The features of the industrial system within which innovation processes take place affect the pace and the characteristics of the innovation processes and influence their evolution. The analysis of the industrial structure and of the innovation strategies of firms cannot be separated. The introduction of general technological changes that concern mainly the position rather than the slope of the maps of isoquants characterize the innovation process of large corporations. Small manufacturing firms instead rely upon technological knowledge implemented by means of learning processes and introduce technological changes typically characterized by a bias finalized to make the most efficient use of locally abundant production factors. Their contribution to economic growth in terms of total factor productivity is important and can be grasped only when the role of output elasticity of production factors in growth accounting is properly appreciated. The empirical evidence for a sample of 6000 Italian firms in the years 1997-2005 confirms that localized technological changes were mainly introduced by small firms with low levels of profitability and high wages and had significant positive effects on their economic efficiency.

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Paper provided by University of Turin in its series Dipartimento di Economia "S. Cognetti de Martiis" LEI & BRICK - Laboratorio di economia dell'innovazione "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo Alberto. WP series with number 200908.

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Length: 33 pages
Date of creation: Jun 2009
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Handle: RePEc:uto:labeco:200908

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  1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
  2. Antonelli, Cristiano, 2006. "Localized technological change and factor markets: constraints and inducements to innovation," Structural Change and Economic Dynamics, Elsevier, vol. 17(2), pages 224-247, June.
  3. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.
  4. Mariacristina Piva & Enrico Santarelli & Marco Vivarelli, 2006. "Technological and organizational changes as determinants of the skill bias: evidence from the Italian machinery industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 63-73.
  5. M. Piva & E. Santarelli & M. Vivarelli, 2003. "The Skill Bias Effect of Technological and Organisational Change: Evidenceand Policy Implications," Working Papers 486, Dipartimento Scienze Economiche, Universita' di Bologna.
  6. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
  7. Catherine Beaudry & G. Swann, 2009. "Firm growth in industrial clusters of the United Kingdom," Small Business Economics, Springer, vol. 32(4), pages 409-424, April.
  8. Adriana Di Liberto & Francesco Pigliaru & Roberto Mura, 2008. "How to measure the unobservable: a panel technique for the analysis of TFP convergence," Oxford Economic Papers, Oxford University Press, vol. 60(2), pages 343-368, April.
  9. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation and Productivity : An Econometric Analysis at the Firm Level," Working Papers 98-33, Centre de Recherche en Economie et Statistique.
  10. Mark Rogers, 2004. "Networks, Firm Size and Innovation," Small Business Economics, Springer, vol. 22(2), pages 141-153, 03.
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