Firm performance and R&D cooperation: what matters?
Claudia Cantabene and
Iacopo Grassi
Economics of Innovation and New Technology, 2024, vol. 33, issue 1, 142-165
Abstract:
In this paper we analyze whether R&D cooperation improves firms' performance, and which variables would boost R&D cooperation the most. We contribute to the literature linking two different branches: using a sample of Italians firms, we analyze which are the main determinants of R&D cooperation and whether R&D cooperation improves firms' performance. Thus, we conduct a two-step analysis: in the first step we investigate the significant determinants of cooperation, and in the second we employ these determinants to test the effect of R&D cooperation on firm performance, measured by ROA, Ebitda, and value added per capita. The analysis focuses on four relevant disaggregations: (i) small, medium, and large firms; (ii) Pavitt (1984. “Sectoral Patterns of Technical Change: Towards a Taxonomy and a Theory.” Research Policy 13 (6): 343–373) sectors; (iii) location (North, and Center-South); and (iv) public and private partners. Although the determinants of cooperation can vary depending on the type of disaggregation, we find that R&D cooperation always boosts firm performance, that is, on average, profitability and productivity are higher among cooperating firms compared to those that do not cooperate. Identifying the determinants of cooperation allows management and policymakers to understand which strategies should be implemented to stimulate cooperation and, consequently, to improve firms' performance.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10438599.2022.2145559 (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:taf:ecinnt:v:33:y:2024:i:1:p:142-165
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GEIN20
DOI: 10.1080/10438599.2022.2145559
Access Statistics for this article
Economics of Innovation and New Technology is currently edited by Professor Cristiano Antonelli
More articles in Economics of Innovation and New Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().