Media Response
Media Response December 2024 Oliver Holtemöller: So teuer sind die Wahlversprechen der Parteien in: Handelsblatt, 19.12.2024 IWH: Experten: Deutsche Wirtschaft schrumpft 2024 doch…
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East Germany
The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the West Dossier In a nutshell The East German economic convergence process is hardly…
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Heimpold (Interview)
What South Korea has to do with the IWH ... Gerhard Heimpold about his experiences at IWH Mr Heimpold, if you were to describe your job to your neighbour, what would you tell her?…
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Research Clusters
Three Research Clusters Research Cluster "Economic Dynamics and Stability" Research Questions This cluster focuses on empirical analyses of macroeconomic dynamics and stability.…
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R&D Collaborations and the Role of Proximity
Philipp Marek, Mirko Titze, Clemens Fuhrmeister,
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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Drivers of the Spatial Emergence and Clustering of the Photovoltaic Industry in Germany
M. Breul, T. Broekel, Matthias Brachert
Zeitschrift für Wirtschaftsgeographie,
No. 3,
2015
Abstract
The drivers of the spatial emergence and clustering of the photovoltaic industry in Germany. Following the relatedness literature, we explore to what extent related industries influenced the regional emergence of the photovoltaic (PV) industry. In addition, we shed light on factors explaining selective processes of clustering. We particularly argue that generic resources and resources of related activities have been crucial for the regional concentration in early phases of the industry life cycle. With increasing maturity, industry-specific resources became more important. Based on a unique dataset containing population dynamics of the German PV industry, the hypotheses are tested empirically. Our results partially confirm the assumed beneficial effects of related industries for the emergence of the PV industry. Moreover, we observe changes in the relative importance of factors supporting regional concentration, with industry-specific resources becoming dominant as the industry matures.
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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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Geoadditive Models for Regional Count Data: An Application to Industrial Location
Davide Castellani
ERSA conference papers,
2012
Abstract
We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities.
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Innovation within the Maritime Cluster of QUÉBEC – Evaluation of a Regional Study in Québec
Sabine Freye
Presses Académiques Francophones, Saarbrücken,
2013
Abstract
Grundlage der Untersuchung ist die Annahme, dass das Entwicklungspotential einer Industrie bzw. einer Region von ihrer Innovationstätigkeit abhängt. Im Speziellen werden Antworten auf folgende Fragestellungen gesucht: Lässt sich das Cluster-Konzept auf die maritime Industrie der maritimen Region Québecs übertragen? Kann dieser Sektor eine solch große Bedeutung und Wirtschaftskraft erlangen, dass er zu einem wirtschaftlichen Standbein dieser Region werden kann? Der Untersuchung liegen die Umfrageergebnisse einer regionalen Studie zugrunde, die insbesondere die Unternehmenseigenschaften, wie beispielsweise, Größe, Umsatz oder Anzahl der im Unternehmen tätigen Ingenieure, erfasste. Die Ergebnisse zeigen, dass der Großteil der Unternehmen in der untersuchten Stichprobe kleine und mittelständische Unternehmen sind, die nur wenig Innovationsaktivitäten haben. Insgesamt deuten die Ergebnisse darauf hin, dass der untersuchte maritime Sektor nicht die geeigneten Eigenschaften aufweist um dort das Konzept eines Clusters als Regionalentwicklungsstrategie anwenden zu können.
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