Technological spillovers and productivity in Italian manufacturing firms

Giuseppe Medda and Claudio Piga

Journal of Productivity Analysis, 2014, vol. 41, issue 3, 419-434

Abstract: We study whether a firm’s total factor productivity dynamics is positively influenced by its own R&D activity and by the technological spillovers generated at the intra- and inter-sectorial level. Our approach corrects simultaneously for the endogeneity and the selectivity biases introduced by the use of a firm’s own R&D as a regressor. The evidence suggests that a firm’s involvement in R&D activities accounts for significant productivity gains. Firms also benefit from spillovers originating from their own industries, as well as from innovative upstream sectors. Copyright Springer Science+Business Media New York 2014

Keywords: R&D; TFP; Selectivity; Treatment effect; C21; C80; D24; O30 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-013-0351-1 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Technological Spillovers and Productivity in Italian Manufacturing Firms (2007)
Working Paper: Technological Spillovers and Productivity in Italian Manufacturing Firms (2007)
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:kap:jproda:v:41:y:2014:i:3:p:419-434

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-013-0351-1

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().