We study collaborative and non-collaborative projects that are supported by government grants. First, we propose a theoretical framework to analyze optimal decisions in these projects. Second, we test our hypotheses with a unique dataset containing academic publications and research funds for all the academics at the major engineering departments in the UK. We find that the type of the project (measured by its level of appliedness) is increasing in the type of both the university and firm partners. Also, the quality of the project (number and impact of the publications) increases with the quality of the researcher and firm, and with the affinity in the partners’ preferences. The collaboration with firms increases the quality of the project only when the firms’ characteristics make them valuable partners.

Knowledge intensive services (KIS) and, in particular, R&D services contribute significantly to innovation in firms. The objective of this paper is to find out which characteristics of firms explain the acquisition of R&D services and to analyse whether there are differences depending on the typology of the supplier (universities, technology centres and consulting firms). Three main conclusions emerge from the econometric estimations. Firstly, the results show that size and age matter in the decision to buy R&D services, but these characteristics of firms do not have any particular influence in the decision to choose a specific supplier. Secondly, our results are consistent with the relevance that the literature gives to human capital in absorbing external knowledge. The variables used to control for human skills have a positive effect on the decision to buy R&D services. On the contrary, the estimates of other variables that capture internal knowledge base suggest that there is a substitution process between internal R&D activities and acquiring R&D services. Thirdly, innovation policy has a significant influence on the decision to acquire R&D services.

The aim of this paper is to test the employment effect of business R&D expenditures, using a unique longitudinal database covering 677 European manufacturing and service firms over the period 1990-2008. Main result from the whole sample dynamic LSDVC (Least Squared Dummy Variable Corrected) estimate is the labour-friendly nature of companies’ R&D, the coefficient of which turns out to be statistically significant, although not very large in magnitude. However, the positive and significant job creation effect of R&D expenditures is detectable in services and high-tech manufacturing but absent in the more traditional manufacturing sectors. This means that we should not expect positive employment effects from increasing R&D in the majority of industrial sectors. This evidence should be kept in mind by European innovation policy makers having employment as one of their specific aims.

This paper examines the arguments underpinning the smart specialisation concept, an idea which originally emerged from the sectoral growth literature, and one which has recently been applied with to the regional policy context. The shift from a sectoral to a regional context appears prima facie to be quite straightforward but this paper explains that translating the idea to a regional policy context is rather more complex that it at first appears and implies some changes in both interpretation and implications. The outcomes of this are that in a regional policy setting the smart specialisation logic is seen to be broadly consistent with the overall reforms of EU Cohesion Policy. However, in a regional policy setting there is no reason why ICTs should be prioritised over many forms of intangible capital, and the promotion of technological diversification via entrepreneurship may need to be related to specific sectors or activities.

The paper assesses the performance of the technology licensing offices (TLO) and technology transfer offices (TTO) which have been active in Portuguese higher education institutions. Data stemming from a survey of these entities was analyzed in successive steps through factor analysis, cluster analysis and estimation of a model using the Partial-Least Squares methodology. It is shown that the institutional nature of each of the surveyed organizations implies different behaviours and outcomes. Further it has also became clear that the type of resources and activities in the surveyed organizations determine both their “primary outcome” (patent applications and technology transfer processes) and their “final outcome” (technology licensing contracts and technology-based spin-offs). The results of this paper might be particularly relevant for other similar economies as Portugal where high-tech and knowledge-intensive industries have not been dominant.

In this study we use a unique database covering 25 manufacturing and service sectors for 16 European countries over the period 1996-2005, for a total of 2,295 observations, and apply GMM-SYS panel estimations of a demand-for-labour equation augmented with technology. We find that R&D expenditures have a job-creating effect, in accordance with the previous theoretical and empirical literature discussed in the paper. Interestingly enough, the labour-friendly nature of R&D emerges in both the flow and the stock specifications. These findings provide further justification for the European Lisbon-Barcelona targets.