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Directed Technological Change and Total Factor Productivity. Effects and Determinants in a Sample of OECD Countries, 1971 – 2001

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  • Antonelli, Cristiano

    ()

  • Quatraro, Francesco

    ()
    (University of Turin)

Abstract

Technological change is far from neutral. The empirical analysis of the rate and direction of technological change in a significant sample of 10 OECD countries in the years 1971-2001 confirms the strong bias of new technologies and its effects on the actual levels of total factor productivity. This is not surprising for two reasons. First, because the introduction of new and biased technologies can be considered as the result of a clear inducement mechanism exerted by the characteristics of factor markets. Second, because the introduction of radical innovations, such as new information and communication technologies, provides innovators with a strong competitive advantage and feeds the creative destruction of old incumbents. Imitators, especially if based in other factor markets, can try and resist the decline by means of the systematic effort to adapt them to the structure of local endowment. The bias effect is the ultimate result of their creative adoption.

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Bibliographic Info

Paper provided by University of Turin in its series 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 Carlo Alberto. WP series with number 200711.

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Length: 26 pages
Date of creation: Jul 2007
Date of revision:
Handle: RePEc:uto:labeco:200711

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  1. Ann P. Bartel & Nachum Sicherman, 1997. "Technological Change and Wages: An Inter-Industry Analysis," NBER Working Papers 5941, National Bureau of Economic Research, Inc.
  2. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
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  7. 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.
  8. Haskel, Jonathan & Martin, Christopher, 2001. "Technology, Wages, and Skill Shortages: Evidence from UK Micro Data," Oxford Economic Papers, Oxford University Press, vol. 53(4), pages 642-58, October.
  9. Haskel, Jonathan & Heden, Ylva, 1999. "Computers and the Demand for Skilled Labour: Industry- and Establishment-Level Panel Evidence for the UK," Economic Journal, Royal Economic Society, vol. 109(454), pages C68-79, March.
  10. Antonelli, Cristiano & Quatraro, Francesco, 2007. "Shifting the Bias: How to Disentangle Creative Adoption from Radical Innovation. Empirical Evidence from Italy and the US," 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 200706, University of Turin.
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  13. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  14. Jens J. Kr¸ger, 2003. "The global trends of total factor productivity: evidence from the nonparametric Malmquist index approach," Oxford Economic Papers, Oxford University Press, vol. 55(2), pages 265-286, April.
  15. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," American Economic Review, American Economic Association, vol. 91(1), pages 1-32, March.
  16. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-38, December.
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