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Universities as partners in research joint ventures

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Abstract

Sustainable economic growth depends on a continual flow of innovations that depends in turn on a continual flow of knowledge. While empirical evidence suggests that universities can play a significant role in the creation and dissemination of that knowledge, little is known of the characteristics of research joint ventures involving universities. One of the few studies to investigate this issue is Link and Scott (Research Policy 34:385–393, 2005), which found a positive relationship between university participation in RJVs and the size of RJVs which they attributed to universities providing higher marginal value and lower appropriability problems to larger RJVs. Boardman and Bozeman (Economics of Innovation and New Technology 15:51–69, 2006), however, suggests that the explanation might be more complex and not necessarily associated with profit maximization. The purpose of this paper is to present a theoretical model based on a profit-maximizing approach of the decision to invite a university to participate in an RJV that can serve as a foundation for future empirical work, an exploration of the relative explanatory power of a profit-maximizing approach, and a framework for evaluating empirically the policy implications of the Link and Scott’s (Research Policy 34:385–393, 2005) findings.

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Notes

  1. See also Cohen (2010) and Foray and Lissoni (2010) for literature reviews of the value of universities in the innovation process. Foray and Lissoni also explores the tensions that exist between university and the private-sector interests in the research process. Link and Scott (2006) provide evidence of the large social value of similar knowledge transfers with respect to the National Institute of Standards and Technology.

  2. Link and Scott (2005) motivated their work on prior work by Kohn and Scott (1982), Baldwin and Link (1998), Leyden and Link (1999), and Hall et al. (2001).

  3. The process of transforming knowledge into economic knowledge is a central part of the innovative, entrepreneurial process (Arrow 1962, Audretsch and Lehmann 2005).

  4. The R&D process may focus on a variety of possible outcomes, for example, improvements in the quality of a production process, reductions in the cost of production, improvements in the characteristics of existing goods or services, or the development of new goods or services.

  5. See, for example, Adams’s (2006) analysis of the division of R&D effort between learning and internal research.

  6. See, for example, Audretsch and Lehmann’s (2006) analysis of the role of geographic proximity with regard to tacit versus codified knowledge.

  7. See, for example, Cassiman (2000) for an examination of regulatory options in the face of uncertainty over the extent of appropriability problems among firms in an RJV.

  8. It should be noted, as an anonymous referee has rightly pointed out, that the simplifying assumptions of this model, including the assumption of symmetric firms and the assumption that the functions below are (for the most part) only functions of RJV size, means that this model may not be directly applicable to specific, real-world circumstances. The decision to employ these simplifying assumptions in the face of this limitation was made to facilitate an understanding of the basic role that RJV size plays in the decision to include universities in the absence of complicating factors, and in order to provide a more solid foundation for exploring the impact of specific, real-world factors in future work.

  9. The following model builds on Leyden and Link (2013). That work is more complex because of the inclusion of an analysis of the effect of university membership on the optimal number of RJV members. Because that issue is not a focus of this paper and does not affect the results of this paper, this model for expositional reasons treats the number of RJV members as being unaffected by whether a university is a member of the RJV.

  10. σ is modeled as an exogenous characteristic of the RJV. As an anonymous referee has pointed out, σ is in fact an endogenous characteristic of an RJV. Given the focus of this paper on the role of RJV size in the decision to invite a university to participate, it was decided in the interest of model development to use this paper to first explore that relationship under the assumption that σ is exogenous. However, future work to explore the possible impact of an endogenous σ on the relationship between RJV size and university would clearly be of value.

  11. See Arrow (1962) for seminal work on the general problem of appropriating the benefits of research. Anand and Khanna (2000) attributes this problem to weak property rights that arise because of an inability to specify the context and boundaries of knowledge that makes it possible to verify violation in a set of property rights.

  12. Bonardo et al. (2011), on which this paragraph draws in part, provides a fuller exploration of the literature on the benefits of university participation in RJVs. While universities in general provide greater productivity benefits than do other firms, those benefits are less direct than the benefits associated with collaborating with other firms and more likely to be of interest when appropriability conditions weak and outcomes indirect (Hall et al. 2001; Medda et al. 2006).

  13. The decision to include a university in an RJV may have an impact on the ideal size of that RJV. For expositional reasons, that possibility is ignored in this paper, but readers interested may consult Leyden and Link (2013) for a detailed analysis of that issue.

  14. The inequality signs are reversed because of the division by α × ω − 1 which is negative.

  15. Link and Scott (2005) also find some evidence of industry effects even after controlling for technological foci and objectives.

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Correspondence to Dennis Patrick Leyden.

Appendix: proof that the revenue-cost ratio is downward sloping with respect to n*

Appendix: proof that the revenue-cost ratio is downward sloping with respect to n*

The revenue-cost ratio R is defined as:

$${\text{R(}}n^{*} ,x )= \frac{{a(n^{*} ) \times p(n^{*} ,\sigma )}}{{c(n^{*} )}}$$
(7)

Dropping the functional notation for expositional clarity, greater σ results in greater n* and marginal revenue (\(\partial p/\partial n^{*}\)). Therefore, it must be that greater n* also results in greater marginal costs (dc/dn*) because in equilibrium, marginal cost must equal marginal cost at n*. Hence:

$$sgn\left( {\frac{\partial R}{{\partial n^{*} }}} \right) = sgn\left( {\frac{{\left( {\frac{\partial a}{{\partial n^{*} }}p + a\frac{\partial p}{{\partial n^{*} }}} \right)c - ap\frac{\partial c}{{\partial n^{*} }}}}{{c^{2} }}} \right)$$
(8)
$$= sgn\left( {\left( {\frac{\partial a}{{\partial n^{*} }}p + a\frac{\partial p}{{\partial n^{*} }}} \right)c - ap\frac{\partial c}{{\partial n^{*} }}} \right)$$
(9)
$$= sgn\left( {\frac{{\left( {\frac{\partial a}{{\partial n^{*} }}p + a\frac{\partial p}{{\partial n^{*} }}} \right)}}{{\frac{\partial c}{{\partial n^{*} }}}} - \frac{ap}{c}} \right)$$
(10)

But the first ratio in Eq. (10) is the ratio of marginal revenue and marginal cost. Under the assumption of profit maximization, this ratio equals 1. Given that, and given that the revenue-cost ratio [which is the second part of the Eq. (10)] is greater than 1 by assumption of market power, it must be that the revenue-cost function is downward sloping.

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Leyden, D.P. Universities as partners in research joint ventures. Econ Polit Ind 43, 449–462 (2016). https://doi.org/10.1007/s40812-016-0051-8

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