Does knowledge diffusion between university and industry increase innovativeness?

Abstract

R&D investment, Innovation, Patents, University industry linkages, Matching methods, C24, L10, O30, O31, O38, 040,

Empirical Evidence on the Success of R&D Cooperation—Happy Together?

“…Cincera et al's (2003) empirical study shows that international R&D co-operation positively affects a firm's productivity growth. Lööf and Broström (2004) find that collaboration between universities and firms not only increases the probability that firms will apply for a patent but also has a positive impact on innovative sales per employee. Gemünden and Ritter (1997) investigate the relationship between sales due to product innovations and cost reductions through process innovations using data from the Mannheim Innovation Panel (MIP).…”

“…Empirical literature on the innovative and economic success of R&D co-operation is still relatively scarce but has been growing in recent years (see e.g. Lööf and Broström, 2004;Belderbos et al, 2004b). This paper contributes to the empirical work on the benefits of co-operations on the outcome side by assessing the extent to which firms profit from forming cooperative agreements with external partners.…”

Does working with industry come at a price? A study of doctoral candidates’ performance in collaborative vs. non-collaborative Ph.D. projects

“…There are several reasons why firms are motivated to get involved in active collaborations: (1) in many knowledge areas, the tacit nature of knowledge necessitates actively working together with universities, (2) universities are major sources of databases and research facilities that would be too expensive for firms to construct in-house, and (3) through collaboration, firms can co-develop knowledge that is relevant to the specific problems they face (Liebeskind et al, 1996, Ponds et al, 2007. Furthermore, collaboration can improve partners' innovation capability and economic performance (Lööf and Broström, 2008) and provide access to resources, skills, data, and transfer of technology (Albors, 2002) as well as human capital (Lin and Bozeman, 2006).…”

R&D productivity and the organization of cluster policy: an empirical evaluation of the Industrial Cluster Project in Japan

“…Patent indicators are often used as proxies for R&D outcomes by UIPs (George et al 2001;Kim et al 2005;Motohashi 2005;Lööf and Broström 2008) and assessment of public projects (Branstetter and Sakakibara 2002;Darby et al 2008;Kodama 2008;Okada and Kushi 2004). In the econometric analysis, we use negative binomial (NB), instrumental variables (IV), and treatment effect (TE) regressions in order to cope with the endogeneity problem of participation in the cluster project.…”