Do birds of a feather flock together? Proximities and inter-clusters network

The present contribution develops on the analysis of clusters in terms of proximities by exploring the issue of distant inter-cluster collaborations. We mobilize different forms of proximity (geographic, cognitive, social) discussed in the literature in order to identify their respective influence on intercluster collaboration by taking the example of French Pôles de Compétitivité. Our results echo previous results applied to intra-cluster collaborations since inter-cluster collaboration mostly relies on a form of social capital due to the key roles played by relational and cognitive proximity. Finally, our results exhibit a negative influence of geographic distance on collaboration. JEL: C45, R12, R58 Keywords: clusters, network analysis, proximities, intercluster collaboration

Does the support of innovative clusters sustainably foster R&D activity? Evidence from the German BioRegio and BioProfile contests

In this paper, we evaluate the R&D enhancing effects of two large public grant schemes aiming at encouraging the performance of firms organized in clusters. These are Germany's well known BioRegio and BioProfile contests for which we compare the research performance of winning regions in contrast with non-winning and non-participating comparison regions. We apply Difference-in-Difference estimation techniques in a generalized linear model framework, which allows to control for different initial regional conditions in the biotechnology related R&D activity. Our econometric findings support the view that winners generally outperform non-winning participants during the treatment period, thus indicating that exclusive funding as well as the stimulating effect of being a "winner" seems to work in the short-term. In contrast, no indirect impacts stemming from a potential mobilizing effect of the contest approaches have been detected. Also, we find only limited evidence for long-term effects of public R&D grants in the post-treatment period. The results of our analysis remain stable if we additionally augment the model to account for the particular role of spatial dependence in the R&D outcome variables.Biotechnology, R&D Policies, Cluster, Diff-in-Diff Estimation

An investigation of the relation between cooperation and the innovative success of German regions

Concepts like regional innovation systems, innovative milieu, and learning regions emphasize the positive contribution of intra-regional cooperation to firmsÕ innovation performance. Despite substantial numbers of case studies, the quantitative empirical evidence for this claim is thin. Using data on the co-application and co- invention of patents for 270 German labor market regions the study shows that intra- regional cooperation intensity and regional innovation efficiency are associated. In contrast to the negative influence of inter-regional cooperation, medium levels of intra-regional cooperation stimulate regional innovation efficiency.regional innovation efficiency, cooperation intensity, collaboration, regional cooperation

Does the Support of Innovative Clusters Sustainably Foster R&D Activity? Evidence from the German BioRegio and BioProfile Contests

In this paper, we evaluate the R&D enhancing effects of two large public grant schemes aiming at encouraging the performance of firms organized in clusters. These are Germany's well known BioRegio and BioProfile contests for which we compare the research performance of winning regions in contrast with non-winning and non-participating comparison regions. We apply Difference-in-Difference estimation techniques in a generalized linear model framework, which allows to control for different initial regional conditions in the biotechnology related R&D activity. Our econometric findings support the view that winners generally outperform non-winning participants during the treatment period, thus indicating that exclusive funding as well as the stimulating effect of being a “winner" seems to work in the short-term. In contrast, no indirect impacts stemming from a potential mobilizing effect of the contest approaches have been detected. Also, we find only limited evidence for long-term effects of public R&D grants in the post-treatment period. The results of our analysis remain stable if we additionally augment the model to account for the particular role of spatial dependence in the R&D outcome variables.

Does technology affect network structure? - A quantitative analysis of collaborative research projects in two specific EU programmes

The promotion of collaborative R&D through Framework Programmes is a top priority of European RTD policy. However, despite the considerable sums involved, surprisingly little is known about the structure of the resulting research networks. Arguing that the underlying technological regime critically affects the structure of collaborative R&D, this article examines the structure and topology of collaborative research networks in the telecommunications and the agro-industrial industry in two specific programmes of the 4th EU Framework Programme. We find systematic differences which we attribute to differences in the underlying knowledge base, the research trajectories pursued in EU-funded R&D and the organisation of knowledge production in the two industries. As expected on the basis of prior research, we show that collaborative research projects involve a larger number of partners and require greater funding in the telecommunications industry, and that actors from science are positioned more prominently in the agro-industrial collaborative R&D network. Contrary to expectations, we find fewer and less intense interactions between science and industry in the agro-industrial industry. We provide a tentative explanation for this result and discuss policy implications.framework programmes, research collaborations, technological regime, sectoral innovation system, social network analysis, science-industry interactions

On the Determinants of the Reach of Innovation-related Collaboration in Small Firms

This paper takes as its starting point an item of relatively recent academic orthodoxy: the insistence that ‘…interactive learning and collective entrepreneurship are fundamental to the process of innovation’ (Lundvall, 1992, p. 9). From this, academics have frequently taken “interactive” to imply “inter-organisational” and, whilst one might be concerned by this too casual conflation, there is a growing consensus that firms’ embeddedness in collaborative networks matters for their innovative performance (Gilsing et al., 2008).

Industrial policy for the medium to long-term

This report reviews the market failure and systems failure rationales for industrial policy and assesses the evidence on part experience of industrial policy in the UK. In the light of this, it reviews options for reshaping the design and delivery of industrial policy towards UK manufacturing. These options are intended to encourage a medium- to long-term perspective across government departments and to integrate science, innovation and industrial policy

Why do Firms Co-operate for Innovation? - A comparison of Austrian and Finnish CIS 3 results

This paper analyzes co-operative behavior of innovative firms in Finland and Austria. We use data from the third wave of the Community Innovation Survey (CIS 3). Descriptive statistics indicate that the rate of innovators is quite similar in Austria and Finland, while the number of co-operating enterprises is considerably higher in Finland. Econometric analysis reveals that a number of factors that determine co-operative arrangements are only significant in the one or the other country. We conclude that co-operative behavior in the two countries is much more dependent on national factors and much deeper rooted in the underlying innovation systems than the existing literature may assume.co-operation, CIS 3, Austria, Finland

The role of network administrative organizations in the development of social capital in inter-organizational food networks

This paper is concerned with the role of network administrative organizations (NAOs) in the development of social capital in inter‐organizational networks aiming at supporting their members to innovate in the food sector through interacting with one another. A multi‐case study approach is used whereby three Belgian inter‐organizational networks are investigated i.e. Wagralim, R&eacute;seau‐Club and Flanders Food. Our study shows that there are many options available to NAOs to build social capital within the networks they are responsible for; options which we propose to categorize in three main distinct groups: creation of boundary objects, careful selection of members and effective communication.</p