Looking into the black box of Schumpeterian Growth Theories: an empirical assessment of R&D races

Francesco Venturini ()

No 94/2011, Quaderni del Dipartimento di Economia, Finanza e Statistica from Università di Perugia, Dipartimento Economia

Abstract: This paper assesses whether the most important R&D technologies at the roots of second-generation Schumpeterian growth theories are consistent with patenting and innovation statistics. Using US manufacturing industry data, we estimate various systems of simultaneous equations modeling the innovation functions underlying growth frameworks based on variety expansion, diminishing technological opportunities and rent protection activities. Our evidence indicates that innovation functions characterized by the increasing difficulty of R&D activity fit US data better. This finding relaunches the debate on the soundness of the new Schumpeterian strand of endogenous growth literature.

Keywords: R&D; patenting; Schumpeterian growth; US manufacturing. (search for similar items in EconPapers)
JEL-codes: O31 O41 O42 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2011-09-01
New Economics Papers: this item is included in nep-cse, nep-ino, nep-ipr, nep-pr~, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www2.ec.unipg.it/quaderni/qd_94web.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www2.ec.unipg.it:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)

Related works:
Journal Article: Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races (2012)
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:pia:wpaper:94/2011

Access Statistics for this paper

More papers in Quaderni del Dipartimento di Economia, Finanza e Statistica from Università di Perugia, Dipartimento Economia Contact information at EDIRC.
Bibliographic data for series maintained by Ubaldo Pizzoli ().