Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, Matthias Piontek, Mirko Titze
Abstract
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 subsidised collaborative Research and Development 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.
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R&D Collaborations and the Role of Proximity
Philipp Marek, Mirko Titze, Clemens Fuhrmeister, Ulrich Blum
Regional Studies,
No. 12,
2017
Abstract
R&D collaborations and the role of proximity. Regional Studies. This paper explores the impact of proximity measures on knowledge exchange measured by granted research and development (R&D) collaboration projects in German NUTS-3 regions. The results are obtained from a spatial interaction model including eigenvector spatial filters. Not only geographical but also other forms of proximity (technological, organizational and institutional) have a significant influence on the emergence of collaborations. Furthermore, the results suggest interdependences between proximity measures. Nevertheless, the analysis does not show that other forms of proximity may compensate for missing geographical proximity. The results indicate that (subsidized) collaborative innovation activities tend to cluster.
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Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
Reinhold Kosfeld, Mirko Titze
International Regional Science Review,
No. 5,
2017
Abstract
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.
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Actors and Interactions – Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities
Mirko Titze, Matthias Brachert, Alexander Kubis
Growth and Change,
No. 2,
2014
Abstract
This paper contributes to the empirical literature on systematic methodologies for the identification of industrial clusters. It combines a measure of spatial concentration, qualitative input–output analysis, and a knowledge interaction matrix to identify the production and knowledge generation activities of industrial clusters in the Federal State of Saxony in Germany. It describes the spatial allocation of the industrial clusters, identifies potentials for value chain industry clusters, and relates the production activities to the activities of knowledge generation in Saxony. It finds only a small overlap in the production activities of industrial clusters and general knowledge generation activities in the region, mainly driven by the high-tech industrial cluster in the semiconductor industry. Furthermore, the approach makes clear that a sole focus on production activities for industrial cluster analysis limits the identification of innovative actors.
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Proximity and the Transfer of Academic Knowledge: Evidence from the Spatial Pattern of Industry Collaborations of East German Professors
Viktor Slavtchev
Regional Studies,
No. 5,
2013
Abstract
Proximity and the transfer of academic knowledge: evidence from the spatial pattern of industry collaborations of East German professors, Regional Studies. Universities can stimulate local economic development, particularly due to collaboration with local industry. Against this background, this study analyses when these interactions are local. Previous research suggests that university–industry linkages are mainly local because of tacit knowledge and the importance of physical proximity. This study provides additional evidence that the spatial pattern of university–industry linkages is a result of a complex matching process of appropriate partners. The results indicate that actors' individual and relational characteristics, institutional factors, and the particular type of knowledge play a role in collaboration. Hence, university–industry collaborations might not be local.
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The Impact of R&D Collaboration Networks on the Performance of Firms and Regions: A Meta-Analysis of the Evidence
Gunnar Pippel
International Journal of Networking and Virtual Organisations,
No. 4,
2013
Abstract
Innovation is the result of an interactive process. Knowledge-intensive interactions among different partners are associated with a variety of advantages and disadvantages for the actors involved. Therefore, a rich body of literature investigating the impact of R&D collaboration networks on the innovation performance of firms and regions has developed over the last two decades. Those studies come to different results. The aims of this paper are manifold. First, the paper summarizes the results of the relevant literature. Second, a brief overview of the established methods and approaches used in the literature to investigate this research question is given. The third objective is to answer the question whether the achieved results in the literature are predetermined by the employed methods. Finally, relevant gaps for further research are identified. To answer these questions a meta-analysis of the relevant literature is conducted. This study shows that knowledge-intensive interactions have a rather positive impact on the performance of firms and regions. There is also evidence that the employed methods and approaches used in the literature to investigate this research question predetermine the outcome of the research.
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Determinants of the Efficiency of Regional Innovation Systems
Michael Fritsch, Viktor Slavtchev
Regional Studies,
No. 7,
2011
Abstract
Determinants of the efficiency of regional innovation systems, Regional Studies. This paper analyses differences in the efficiency of regional innovation systems. Alternative measures for the efficiency of regional innovation systems based on the concept of a knowledge production function are discussed. The empirical findings suggest that spillovers from within the private sector as well as from universities and other public research institutions have a positive effect on the efficiency of private sector research and development. It is particularly the intensity of interactions between private and public sector research and development that increases the efficiency. It is found that regions dominated by large establishments tend to be less efficient than regions with a lower average establishment size.
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Analyse der Patentaktivitäten in den öffentlichen Wissenschaftseinrichtungen des Freistaates Sachsen im Auftrag des Sächsischen Staatsministeriums für Wissenschaft und Kunst (SMWK)
Iciar Dominguez Lacasa, Katja Wilde
One-off Publications,
2010
Abstract
This study analyses patenting activities by public research organizations (PROs) in the Free State of Saxony in the period 2002-2007 in order to shed some light on the strategies of PROs for industrial exploitation of scientific research results as well as on PROs-industry interaction. The analysis is based on published patent applications at the German Patent and Trademark Office (DPMA) in the period 2002-2007. The study shows that in the period of analysis (2002-2007) the number of patent applications by PROs in Saxony has risen almost continuously. Institutes of the Fraunhofer-Gesellschaft and the Technical University of Dresden have played a major role in this development. The results for PROs in Saxony are compared with patenting by PROs located in the states of Thuringia, Lower Saxony and North Rhine-Westphalia. Overall, the comparative analysis shows positive results for the industrial exploitation of scientific research results by PROs in Saxony. In what concerns the networking of PROs with private companies through co-patenting, there are no significant differences between the PROs of the four states considered. The results suggest that PROs in Saxony could further improve their performance in PROs-industry interaction. These results should however be interpreted with caution since the underlying patent statistics (co-patenting) do not capture all forms of PROs-industry interaction for the industrial exploitation of research results.
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Measuring Regionalized Knowledge Generation and Transfer – A Feasibility Study Using a Multi-layer Approach in the Free State of Saxony
Mirko Titze, Matthias Brachert, Jutta Günther, Michael Schwartz
IWH-Sonderhefte,
No. 5,
2010
Abstract
Economic literature regards knowledge creation and learning as critical elements for gaining competitive advantage of regions. However, recognizing the importance of innovation and knowledge creation to economic success is far from being novel. Original is the view of increasing importance of knowledge creation for speeding up the depreciation of existing knowledge stocks. This puts a high pressure on regional actors to constantly participate in innovation processes to maintain their competitive advantages. Against this background, regional actors – if they aim to be successful in the globalized economy – first require access to a comprehensive and diversified knowledge base. Second, they need to participate in the processes of knowledge generation and knowledge transfer. Thereby, systemic innovation theory has pronounced the view that the locus of innovation and knowledge creation resides not only within the boundaries of the regional actors, such as private firms, universities, research laboratories, suppliers, and customers, but is the result of an interdependent exchange process between these different types. Collaborative interactions, bringing together different types of actors, may therefore lie well at the heart of accelerated knowledge creation and learning at the regional level (Lundvall and Johnson 1994).
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