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

Cristiano Antonelli and Francesco Quatraro

No 2014-01, GREDEG Working Papers from Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France

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.

Keywords: Biased Technological Change; Mobility; European Regions; GMM System; Transition Probability (search for similar items in EconPapers)
JEL-codes: O33 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2014-01
New Economics Papers: this item is included in nep-eff, nep-geo, nep-ino and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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Related works:
Journal Article: The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence (2014)
Working Paper: The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence (2014)
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