Inter-temporal patterns of R&D collaboration and innovative performance

Rene Belderbos, Martin Carree, Boris Lokshin and Juan Fernández Sastre

The Journal of Technology Transfer, 2015, vol. 40, issue 1, 123-137

Abstract: While prior studies have investigated the effect of collaborative R&D with different partner types (suppliers, customers, competitors and research institutions and universities) on firms’ innovative performance, the implications of dynamic patterns in these collaborations have not received attention. In a large panel of Spanish innovating firms operating in a broad range of industries during the period 2004–2011, we examine the differential effects of recently formed, persistent, and recently discontinued collaboration on innovative performance. Persistence is the most common pattern of collaboration, while discontinuities are most often observed for competitor collaboration. We find that it is persistent collaboration that has a systematically positive effect on innovativeness. With the exception of recently formed collaboration with universities and research institutes, other temporal patterns of collaboration do not significantly improve innovation performance. Implications of these findings are discussed. Copyright Springer Science+Business Media New York 2015

Keywords: R&D collaboration; Innovation; Productivity; O31; O32 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (56)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10961-014-9332-4 (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:kap:jtecht:v:40:y:2015:i:1:p:123-137

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/10961/PS2

DOI: 10.1007/s10961-014-9332-4

Access Statistics for this article

The Journal of Technology Transfer is currently edited by Albert N. Link, Donald S. Siegel, Barry Bozeman and Simon Mosey

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