nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2010‒08‒06
five papers chosen by
Roland Kirstein
Otto von Guericke University Magdeburg

  1. Patenting Public-Funded Research For Technology Transfer: A Conceptual-Empirical Synthesis of US Evidence and Lessons for India By Amit Shovon Ray; Sabyasachi Saha
  2. On the optimal mix of patent instruments By Chu, Angus C.; Furukawa, Yuichi
  3. Against the one-way-street: Analyzing knowledge transfer from industry to science By Fier, Heide; Pyka, Andreas
  4. RESEARCH AND THE ACADEMIC: A TALE OF TWO CULTURES By David F Hendry
  5. Competition, product and process innovation: an empirical analysis By Carlos D. Santos

  1. By: Amit Shovon Ray; Sabyasachi Saha
    Abstract: The question of protecting intellectual property rights by academic inventors was never seriously contemplated until the introduction of the Bayh-Dole Act in 1980 in the US. The Act allowed universities to retain patent rights over inventions arising out of federally-funded research and to license those patents exclusively or non-exclusively at their discretion. This particular legislation was a response to the growing concern over the fact that federally funded inventions in the US were not reaching the market place. In this paper a critical review of the US experience after the Bayh-Dole Act is presented and argues that the evidence is far from being unambiguous. [Working Paper No. 244]
    Keywords: intellectual property, academic inventors, federally-funded, research,US, Bayh-Dole Act
    Date: 2010
    URL: http://d.repec.org/n?u=RePEc:ess:wpaper:id:2719&r=ipr
  2. By: Chu, Angus C.; Furukawa, Yuichi
    Abstract: A special characteristic of the patent system is that it features multiple patent-policy levers that can be employed by policymakers. In this study, we develop a quality-ladder model to analyze the optimal mix of patent instruments. Specifically, we consider (a) patent breadth and (b) the division of profit in research joint ventures. We analytically derive optimal patent policies and then calibrate the model to quantitatively evaluate the welfare gain from optimizing both patent instruments as compared to optimizing only one patent instrument. In summary, we find that the welfare gain can be substantial.
    Keywords: R&D; innovation; intellectual property rights
    JEL: O34 O31
    Date: 2010–08
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:24039&r=ipr
  3. By: Fier, Heide; Pyka, Andreas
    Abstract: This study aims at analyzing the differences in the factors that influence the probability of knowledge transfer within industry and from industry to science in the biotechnology sector. In order to model these knowledge flows a citation analysis on the basis of patent data was conducted and a weighted bivariate probit model was estimated on the citation probability of industry and science on the basis of a combined sample of citing and cited patent pairs and an equal number of control patent pairs. The empirical results suggest that there are considerable differences in the citation probability. Cultural closeness for instance has a positive effect on the citation probability from industry to industry while the citation probability of scientific institutions is not affected by cultural distance. --
    Keywords: Technology transfer,patent citation analysis,biotechnology industry
    JEL: J61 O33
    Date: 2010
    URL: http://d.repec.org/n?u=RePEc:zbw:zewdip:10048&r=ipr
  4. By: David F Hendry (Economics Department, University of Oxford)
    Date: 2010
    URL: http://d.repec.org/n?u=RePEc:uwa:wpaper:10-01&r=ipr
  5. By: Carlos D. Santos (Dpto. Fundamentos del Análisis Económico)
    Abstract: Competition has long been regarded as productivity enhancing. Understanding the mechanism by which competition affects innovation and productivity is therefore an important topic for economic policy. The main contribution of this paper is to disentangle the relationship between competition and two sides of innovation: product and process. I write down a model and discuss the conditions under which we can identify the causal mechanism. Overall I find that competition, measured by the number of competitors or market shares, has negative effects on product innovation and no effects on process innovation. The explanation is very simple. By shifting demand, competition directly changes the optimality condition for product but not for process innovation. Thus, competition has no direct effects on process innovations or, as a consequence, productivity.
    Keywords: competition, innovation, R&D, product innovation, process innovation
    JEL: L11 L60 O30
    Date: 2010–07
    URL: http://d.repec.org/n?u=RePEc:ivi:wpasad:2010-26&r=ipr

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