The largest-ever evaluation of an Irish research programme has concluded that the PRTLI is “the beginning of a major and most beneficial transformation of the research landscape of Ireland that will help to install an innovation-driven economy”. The Programme for Research in Third Level Institutions is managed by the country’s Higher Education Authority.
During the years, a large number of formal studies have presented evidences of a positive impact of university R&D on firm performance in general and on the location of industrial R&D, in particular. The question is does it also work the other way around? Does industrial R&D function as an attractor for university R&D? What are behavioural relationships between industrial R&D and university R&D and vice versa? The fact that knowledge flows seem to be spatially bounded implies that
The authors construct a model of offshoring with externalities and firm heterogeneity. Due to the presence of externalities, temporary shocks like the Y2K problem can have permanent effects, i.e., they can permanently raise the extent of offshoring in an industry. Also, the initial advantage of a country as a potential host for outsourcing activities can create a lock in effect, whereby late movers have a comparative disadvantage.
The purpose of this paper is to analyse the locational relationship between industry R&D and university R&D in Sweden using a simultaneous equation approach and to analyse existing differences between different science areas and different industry sectors.
The authors contribute to the debate on research performance by comparing the distribution of
research inputs and outputs across Australian universities during 1992-2003. Research-input measures have remained relatively unevenly distributed across universities.
This paper focuses on university inventors mobility in the EU countries. It is the first quantitative assessment of this phenomenon and is the basis for a set of econometric models that try to explain how different factors affect the mobility of academics and their choices: to stay, to move to the private sector, to move to a different public research organisation (including another university).
This paper reconsiders the explanation of R&D subsidies by Spencer and Brander (1983) and others by allowing firms to license their innovations and to pool their R&D investments. The authors show that in equilibrium R&D joint ventures are formed and licensing occurs in a way that eliminates the strategic benefits of R&D investment in the export oligopoly game.
Structural vector autoregressive (VAR) models are in frequent use for impulse response analysis, the author states. If cointegrated variables are involved, the corresponding vector error correction models offer a convenient framework for imposing structural long-run and short-run restrictions.
This paper provides evidence showing that collaborative agreements in the IT industry contribute to decrease the R&D intensity of the largest firms. This is particularly true for acquisitions (as opposed to alliances, consortia and joint ventures) and for the mixed agreements (i.e. with a sales, marketing and technological content).
This paper argues that the appropriate concept of R&D
that is required for the Accounts should incorporate a broad range of science-based innovation costs and that this broader R&D concept is amenable to measurement.