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.

The objective of this paper is to explore the relative importance of each of Marshall’s agglomeration mechanisms by examining the location of new manufacturing firms in Spain. In particular, we estimate the count of new firms by industry and location as a function of (pre-determined) local employment levels in industries that: 1) use similar workers (labor market pooling); 2) have a customer-supplier relationship (input sharing); and 3) use similar technologies (knowledge spillovers). We examine the variation in the creation of new firms across cities and across municipalities within large cities to shed light on the geographical scope of each of the three agglomeration mechanisms. We find evidence of all three agglomeration mechanisms, although their incidence differs depending on the geographical scale of the analysis.

The empirical investigation into the economic relevance of knowledge codification lacks behind the allied theoretical contributions. The article empirically examines the link between codifiable work content and code-based technologies. For this purpose, we use detailed information about the tasks that employees performed at their jobs, and the work devices assisting them, in West Germany, over a period of 27 years. The main results suggest that automation decreased both the explicit manual task content within occupations and the job security of occupations specialized in such tasks. Occupations which frequently performed explicit manual tasks were disproportionally concentrated in middle of the wage distribution, contributing to the widely-observed polarization of jobs.

We analyze the intergenerational transmission of education focusing on the interplay between family and neighborhood effects. We develop a theoretical model suggesting that both neighborhood quality and parental effort are of importance for the education attained by children. This model proposes a mechanism explaining why and how they are of importance, distinguishing between high- and low-educated parents. We then bring this model to the data using a longitudinal data set in Britain. The available information on social housing in big cities allows us to identify the role of neighbourhood in educational outcomes. We find that the better is the quality of the neighborhood, the higher is the parents’ involvement in their children’s education. A novel finding with respect to previous US studies is that family is of importance for children with highly- educated parents while it is the community that is crucial for the educational achievement of children from low-educated families.