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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Mapping Potentials for Input-Output Based Innovation Flows in Industrial Clusters – An Application to Germany
Matthias Brachert, Hans-Ulrich Brautzsch, Mirko Titze
Economic Systems Research,
No. 4,
2016
Abstract
Our paper pursues two aims: first, it presents an approach based on input–output innovation flow matrices to study intersectoral innovation flows within industrial clusters. Second, we apply this approach to the identification of structural weaknesses in East Germany relative to the western part of the country. The case of East Germany forms an interesting subject because while its convergence process after unification began promisingly in the first half of the 1990s, convergence has since slowed down. The existing gap can now be traced mainly to structural weaknesses in the East German economy, such as the absence of strong industrial cluster structures. With this in mind, we investigate whether East Germany does in fact reveal the abovementioned structural weaknesses. Does East Germany possess fewer industrial clusters? Are they less connected? Does East Germany lack specific clusters that are also important for the non-clustered part of the economy?
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
No. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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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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Cluster in Mitteldeutschland – Strukturen, Potenziale, Förderung. Tagungsband
Matthias Brachert, S. Henn
IWH-Sonderhefte,
No. 5,
2012
Abstract
Regionale Cluster erfreuen sich seit geraumer Zeit großen Interesses von Seiten der Wissenschaft sowie der Regionalpolitik. An sie wird die Hoffnung auf die Steigerung der Gründungsrate, der regionalen Innovationsfähigkeit und der betrieblichen Produktivität geknüpft, was im Endeffekt zur Erhöhung der regionalen Wettbewerbsfähigkeit beitragen soll. Auch in Mitteldeutschland existieren vielfältige Cluster, etwa in der Biotechnologie, der Solartechnik, der Chemieindustrie, aber auch in der Forstwirtschaft, der Mikroelektronik, den Nanotechnologien und den optischen Technologien. Jedoch mangelt es bislang an genaueren Erkenntnissen über deren Aufbau und Entwicklungsstadien, die Ausgestaltung und Wirksamkeit der aktuellen Clusterförderung sowie die zu erwartende Entwicklung der bisherigen Strukturen. Vor diesem Hintergrund ist es Ziel des Tagungsbandes, die in Mitteldeutschland bestehenden Cluster zu identifizieren sowie hinsichtlich ihres Aufbaus und Entwicklungspotenzials zu analysieren, bisherige Maßnahmen der Clusterförderung in ihrer Wirkung kritisch zu beleuchten und zur Erweiterung der zugrunde liegenden konzeptionellen Basis beizutragen.
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Determinants of Evolutionary Change Processes in Innovation Networks – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Andreas Pyka, Jutta Günther
Abstract
We seek to understand the relationship between network change determinants, network change processes at the micro level and structural consequences at the overall network level. Our conceptual framework considers three groups of determinants – organizational, relational and contextual. Selected factors within these groups are assumed to cause network change processes at the micro level – tie formations and tie terminations – and to shape the structural network configuration at the overall network level. We apply a unique longitudinal event history dataset based on the full population of 233 German laser source manufacturers and 570 publicly-funded cooperation projects to answer the following research question: What kind of exogenous or endogenous determinants affect a firm’s propensity and timing to cooperate and enter the network? Estimation results from a non-parametric event history model indicate that young micro firms enter the network later than small-sized and large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected yet quite interesting findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of contextual determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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Die Anwendung der Qualitativen Input-Outanalyse zur Identifikation industrieller Cluster - Im Fokus: Arbeitsintensive Leistungsströme
Mirko Titze, Matthias Brachert, Hans-Ulrich Brautzsch
Beitrag in IWH-Sammelwerk,
aus: Neuere Anwendungsfelder der Input-Output-Analyse - Beiträge zum Halleschen Input-Output-Workshop 2010
2012
Abstract
Im Tagungsband zum Input-Output-Workshop 2008 stellten die Autoren Mirko Titze, Matthias Brachert und Alexander Kubis (2009) mit der Forschung zur internen Struktur industrieller Cluster ein neues Anwendungsfeld der Qualitativen Input-Output-Analyse vor. Industrielle Cluster wurden in diesem Zusammenhang als die regionale Ballung von Akteuren (beispielsweise Betriebe/Beschäftigung einer oder mehrerer Branchen) und den Verflechtungen zwischen ihnen (beispielsweise Lieferbeziehungen oder gemeinsame Forschungsprojekte) (vgl. hierzu Porter 1990; Kiese 2008) definiert. Ausgangspunkt der Analyse waren empirische Belege der regionalökonomischen Literatur, welche verdeutlichen, dass die Existenz derartiger Wirtschaftsstrukturen eine dynamische Entwicklung in den betreffenden Regionen fördert (Porter 1990; Baptista, Swann 1998).
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