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The 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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  • Antonelli, Cristiano & Scellato, Giuseppe, 2009. "The Localized Introduction Of Biased Technological Change And Productivity Growth. The Empirical Evidence In The Italian Manufacturing Industry," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200908, University of Turin.
    • Handle: RePEc:uto:labeco:200908
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    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    3. Piva, Mariacristina & Santarelli, Enrico & Vivarelli, Marco, 2005. "The skill bias effect of technological and organisational change: Evidence and policy implications," Research Policy, Elsevier, vol. 34(2), pages 141-157, March.
    4. Malerba,Franco & Brusoni,Stefano (ed.), 2007. "Perspectives on Innovation," Cambridge Books, Cambridge University Press, number 9780521685610.
    5. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    6. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    7. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
    8. Mark Rogers, 2004. "Networks, Firm Size and Innovation," Small Business Economics, Springer, vol. 22(2), pages 141-153, March.
    9. 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.
    10. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    11. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    12. 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.
    13. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    14. 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.
    15. 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.
    16. Malerba,Franco & Brusoni,Stefano (ed.), 2007. "Perspectives on Innovation," Cambridge Books, Cambridge University Press, number 9780521866644.
    17. 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.
    18. Ruttan, Vernon W, 1997. "Induced Innovation, Evolutionary Theory and Path Dependence:," Economic Journal, Royal Economic Society, vol. 107(444), pages 1520-1529, September.
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