Directed technological change and productivity growth: the Italian evidence 1861-2010
Cristiano Antonelli,
Federico Barbiellini Amidei and
Christophe Feder
International Journal of Computational Economics and Econometrics, 2017, vol. 7, issue 3, 238-255
Abstract:
The paper presents a new methodology to identify the effects of the introduction of directed technological change on the measure of total factor productivity growth. Its application to the evidence of Italian economic growth in the years 1861-2010 confirms that technological change has been strongly directed with relevant effects on the actual levels of total factor productivity growth measured by a procedure able to account for the changes in the output elasticity of inputs and identify shift and bias effects.
Keywords: technological change; factor bias; total factor productivity; productivity growth; Italy; economic growth. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.inderscience.com/link.php?id=85001 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcome:v:7:y:2017:i:3:p:238-255
Access Statistics for this article
More articles in International Journal of Computational Economics and Econometrics from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().