Determinants of cross-regional R&D collaboration: some empirical evidence from Europe in biotechnology (original) (raw)

The Role of R&D Collaboration Networks on Regional Innovation Performance

SSRN Electronic Journal, 2014

In this study, we consider R&D collaboration networks as a mechanism that modifies knowledge flows in space, and hence as another source of interaction among regional innovation processes. Our objective is to understand the relative role of spatial neighbors and network neighbors on patenting performance of regions. We make use of data on R&D collaborations supported by the European Union's Framework Programs (FP) and empirically investigate the patent activity of 213 European regions in the field of ICT during 2003-2009. Concerning the short length of the time frame we adopt a static modeling strategy and specify a spatial Durbin Model. As spatial neighbors intersect with network neighbors we decompose neighbor regions into three sets: spatially proximate regions that are not collaboration partners, spatially proximate regions that are collaboration partners, and distant collaboration partners. We express the weight matrix as a convex combination of these three sets and by means of gridding we compare how model fit changes as we move from a purely space based view to a purely network based view to express the dependence structure. The weight matrix that performs the best accords 60% weight to distant collaboration partners, 30% weight to proximate collaboration partners and 10% weight to proximate regions with whom there is no FP collaboration. This result reveals that the interaction (proximate and distant) among European regions within FP networks in the field of ICT is key for understanding dependence among their patenting performances.

The role of R&D collaboration networks on regional knowledge creation: Evidence from information and communication technologies

Papers in Regional Science, 2016

We investigate how R&D networks impact regional innovation, considering alternative connectivity structures based on co-publications, co-inventions and projects supported by the EU-FP. Patent activity impacts on ICT during 2003-2009 for 213 European regions are quantified using a spatial Durbin model. Findings indicate that local knowledge flows to proximate regions are influenced by: proximate regions that are not collaboration partners, proximate collaboration partners, and distant collaboration partners. Evidence on the role of distant collaboration partners is found only for co-invention networks.

Space Vs. Networks in the Geography of Innovation: A European Analysis

2006

In the last fifteen years, income differences among European Member States have been strongly narrowing while the process has been matched with a widening of the interregional variance within single countries. Traditionally, regional economic disparities in Europe have been ascribed to peripherality and/or to a high level of dependence on declining sectors. Nowadays regional disparities can be no longer defined only in terms of statistical differences in the values of standard macroeconomic indicators, but also according to innovative capacities and knowledge endowment. This paper provides an original framework for the interpretation of the existing relationships between innovation process and research activity in Europe and the structural and geographical features shaping the European scientific and technological map. In order to do so, we focus on two knowledge-based relational phenomena: participation in the same research networks (funded by the EU Fifth Framework Programme) and EPO co-patent applications. Using two complementary econometric techniques we try to assess those factors that determine patenting activity, distinguishing structural features, geographical and relational spillovers. Through these variables we measure the intrinsic relational structure of knowledge flows which directly connects people, institutions and, indirectly, regions, across European countries in order to test whether hierarchical relationships based on a-spatial networks between geographically distant excellence centres prevail over diffusive patterns based on spatial contiguity.

Research Collaboration and Regional Knowledge Production in Europe

Advances in Spatial Science, 2013

The focus of this study is on regional knowledge production in Europe, with special emphasis on the interplay between intra-and interregional research collaboration. The objective is to identify and measure effects of research collaboration on knowledge production at the level of European regions. We use a panel data spatial Durbin model (SDM) relationship for empirical testing. The European coverage is achieved using 228 NUTS-2 regions covering all pre-2007 EU member states except Cyprus, Greece and Malta. The dependent variable, regional knowledge production, is measured in terms of fractional patent counts at the regional level in the time period 2000-2008, using patents applied at the European Patent Office (EPO). The independent variables include an agglomeration variable, reflecting intra-regional research collaboration, measured in terms of employment in knowledge intensive sectors, and a network variable, reflecting extra-regional research collaboration, measured in terms of a region´s collaboration activities in the EU Framework programmes (FPs), weighted by R&D expenditures in network partner regions. We implement a panel version of the standard SDM that controls for spatial autocorrelation as well as individual heterogeneity across regions, and allows for the estimation of spatial spillovers from neighbouring regions. The estimation results confirm the prevalence of agglomeration effects for regional knowledge production, and, by this, the importance of co-location of R&D actors. Furthermore, the study provides evidence that interregional R&D collaborations in the FPs significantly contribute to regional knowledge production.

Parameters of Regional Cooperative Behavior in the German Biotech Industry – A Quantitative Social Network Analysis

2012

We analyse the determinants of network formation in Germany's biotechnology industry using social network analysis combined with a regression approach for count data. Outcome variable of interest is the degree centrality of German regions, which is specified as a function of the region's innovative and economic performance as well as biotech-related policy variables. The inclusion of the latter allows us to shed new light on the question to what extent R&D-based cluster policies are able to impact on the formation of the German biotech network. Our results show that policy indicators such as the volume of public funding for collaborative R&D activity are positively correlated with the region's overall and interregional degree centrality. However, besides this direct funding effect, we do not observe any further (non-pecuniary) advantages such as prestige or image effects. Regarding the role played by locational factors as elements of the sector-specific and broader regio...

Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies*

Papers in Regional Science, 2007

Spurred on by the theory of network formation, and by the geography of innovation, traditional analyses on R&D cooperation face a deep renewal. This paper assesses the extent to which these renewals find an empirical validation. Based on the research projects submitted to the 6 th Framework Program of the European Union, a binary choice model is used in order to highlight the existence of network and spatial effects alongside other microeconomic determinants of cooperation. Our findings suggest that network effects are present, so that probability of collaboration is influenced by each individual's position within the network. Social distance thus seems to matter more than geographical distance.

Knowledge interactions in regional innovation networks: Comparing data sources

2018

The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.

Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions

The Annals of Regional Science, 2014

The production of scientific and technical knowledge is mostly concentrated in specific locations (high-tech clusters, innovative industry agglomerations, centres of excellence, and technologically advanced regions). Knowledge flows very easily within regions; however, scientific and technical knowledge also flow between regions. The aim of this paper was to analyse how knowledge flows between regions, and the effect of these flows on the innovative performance, measured by patent applications. We estimate a regional knowledge production function, and, using appropriate spatial econometric estimation techniques, we test the effect of both geographical and relational autocorrelation (measured by participation in EU funded research networks as part of Fifth Framework Programme). We model unobservable structure and link value of knowledge flows in these joint research networks. We find that knowledge