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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
  • Francesco Quatraro

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Abstract

The paper by Ji and Wang (J Technol Transf, 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. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Cristiano Antonelli & Francesco Quatraro, 2014. "The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence," The Journal of Technology Transfer, Springer, vol. 39(2), pages 281-299, April.
  • Handle: RePEc:kap:jtecht:v:39:y:2014:i:2:p:281-299
    DOI: 10.1007/s10961-013-9328-5
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    Cited by:

    1. Michaël Assous & Roberto Lampa, 2014. "Lange's 1938 model: dynamics and the "optimum propensity to consume"," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 21(5), pages 871-898, October.
    2. repec:kap:iecepo:v:14:y:2017:i:2:d:10.1007_s10368-016-0371-1 is not listed on IDEAS
    3. Antonelli, Cristiano & Feder, Christophe & Quatraro, Francesco, 2018. "Directed Technological Change and Technological Congruence: A New Framework for the Smart Specialization Strategy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201805, University of Turin.
    4. Frédéric Marty, 2014. "Towards an Economics of Convention-based Approach of the European Competition Policy," GREDEG Working Papers 2014-06, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    5. Valeria Costantini & Francesco Crespi, 2013. "Public policies for a sustainable energy sector: regulation, diversity and fostering of innovation," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 401-429, April.
    6. repec:eee:tefoso:v:126:y:2018:i:c:p:186-193 is not listed on IDEAS
    7. Agnès Festré & Pierre Garrouste, 2014. "Do People Stand by their Commitments? Evidence from Classroom Experiments," GREDEG Working Papers 2014-03, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    8. Cristiano Antonelli, 2016. "A Schumpeterian growth model: wealth and directed technological change," The Journal of Technology Transfer, Springer, vol. 41(3), pages 395-406, June.
    9. Antonelli, Cristiano & Gehringer, Agnieszka, 2017. "Technological change, rent and income inequalities: A Schumpeterian approach," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 85-98.

    More about this item

    Keywords

    Biased technological change; Mobility; European regions; GMM system; Transition probability; O33;

    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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