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The Effects of Biased Technological Changes on Total Factor Productivity: A Rejoinder and New Empirical Evidence

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  • Cristiano Antonelli

    (University of Torino
    BRICK)

  • Francesco Quatraro

    (University of Nice Sophia Antipolis
    GREDEG CNRS
    BRICK)

Abstract

The paper by Ji and Wang (2013) calls new attention on the analysis of the effects of the direction of technological change. The aim of this paper is to better articulate and test the theoretical arguments that the direction of technological changes has specific effects on the efficiency of the production process and to study the incentives and the processes that lead to its introduction. The decomposition of total factor productivity growth into the bias and the shift effects enables to articulate the hypothesis that the types of technological change whether more neutral or more biased reflect the variety of the innovation processes at work. The evidence of a large sample of European regions tests the hypothesis that regional innovations systems with a strong science base are better able to introduce neutral technological changes while regional innovation systems that rely more upon learning processes and tacit knowledge favor the introduction of directed technologies a form of meta-substitution that aims at exploiting the opportunities provided by the most intensive use of locally abundant factors.

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  • Cristiano Antonelli & Francesco Quatraro, 2014. "The Effects of Biased Technological Changes on Total Factor Productivity: A Rejoinder and New Empirical Evidence," GREDEG Working Papers 2014-01, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    • Handle: RePEc:gre:wpaper:2014-01
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    4. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    5. Feder, Christophe & Kataishi, Rodrigo Ezequiel, 2017. "Decentralization in Heterogeneous Regions: A Biased Technological Change Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201703, University of Turin.
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    21. Zheng Li & Fengshuo Liu & Shuai Mi, 2022. "Can an increase in the minimum wage standard force enterprises to innovate? Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3807-3819, December.
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    More about this item

    Keywords

    Biased Technological Change; Mobility; European Regions; GMM System; Transition Probability;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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