When Do Research Consortia Work Well and Why? Evidence from Japanese Panel Data

By Lee G. Branstetter, Mariko Sakakibara. 2002

432 citations recorded by the source corpus.

We examine the impact of a large number of Japanese government-sponsored research consortia on the research productivity of participating firms by measuring their patenting in the targeted technologies before, during, and after participation. Consistent with the theoretical predictions of Katz (1986) and others, we find consortium outcomes are positively associated with the level of potential R&D spillovers within the consortium and (weakly) negatively associated with the degree of product market competition among consortium members. Furthermore, our evidence suggests that consortia are most effective when they focus on basic research.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/25198ea5a86e3e77583264799cb60b8c3b8f66fe

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Citations in the corpus

(International) R&D Collaboration and SMEs: The effectiveness of targeted public R&D support schemes (2014, background): “Exceptions are Sakakibara (2001) and Branstetter and Sakakibara (2002) who analyzed Japanese government-sponsored R&D consortia and both studies found evidence that participating firms have higher R&D expenditures as well as more patents.”
Radical or incremental: Where does R&D policy hit?* (2016, neutral): “Exceptions are Sakakibara (2001) and Branstetter and Sakakibara (2002) who analyzed Japanese government-sponsored R&D consortia.”
What drives innovation output from subsidized R&D cooperation?—Project-level evidence from Germany (2012, background): “The technological performance of research consortia, for instance, is greatly dependent on their characteristics, particularly the characteristics of co-operating partners (Branstetter and Sakakibara, 2002).”
R&D support programs in developing countries: The Turkish experience (2008, background): “Branstetter and Sakakibara (2002) for Japan; Hanel (2003) for Canada; and Guellec and van Pottelsberghe (2003) for OECD countries.”
Determinants of successful R&D cooperation in Japanese small businesses: The impact of organizational and contractual characteristics (2007, methodology): “Thus, each firm in the sample reports on one project and 6 The definition of SMEs used here is constructed as follows: Small firms with less than 50 employees use inter-firm cooperation to a negligible extent (less than 5% according to a statistics related to small businesses in Japan, Shokogyo Jitt”
The Scope and Governance of International R&D Alliances (2004, neutral): “…closer the partners’ competitive domains come to complete overlap, the closer the knowledge-sharing process approximates a zerosum game, since knowledge gained in the alliance will be applied by each partner firm in the same competitive arena (see, for example, Branstetter and Sakakibara, 2002).”
R&D, knowledge spillovers and company productivity performance (2009, methodology): “9 The same methodology is employed in Branstetter and Sakakibara (2002), to evaluate the impact of spillovers, measured by a technological proximity variable on the patenting outcome of research consortia.”
Subsidy and networking: The effects of direct and indirect support programs of the cluster policy (2011, background): “There are several empirical studies on the effectiveness of public R&D support from the viewpoint of the innovation output and subsequent market performance of subsidized firms (Branstetter and Sakakibara [33]; Czarnitzki and Hussinger [34]; Czarnitzki et al. [35]; Hujer and Radic [36]; Hussinger [3”
R&D productivity and the organization of cluster policy: an empirical evaluation of the Industrial Cluster Project in Japan (2011, background): “Patent indicators are often used as the proxies for R&D outcomes by UIPs (George et al. 2002; Kim et al. 2005; Motohashi 2005; Lööf and Broström 2008) and in the assessment of public projects (Branstetter and Sakakibara 2002; Darby et al. 2008; Kodama 2008; Okada and Kushi 2004).”
Do government grants promote innovation efficiency in China's high-tech industries? (2016, background): “Branstetter and Sakakibara (2000) analyzed the effects of the Japanese governmentsponsored research on firms by measuring the patenting performance of these firms.”
Building Programme Evaluation into the Design of Public Research‐Support Programmes (2002, background): “In a recent careful study, for example, Branstetter and Sakakibara (2000) show that Japanese funding of research consortia increased the research output of the participating firms, in the sense that the output of these firms increased during and after their funding more than output of nonfunded firm”