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East Germany's lead over West Germany in terms of growth is bound to shrink – Implications of the Joint Economic Forecast Spring 2024 for the East German economy
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Year
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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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Guest Editorial: Which Regions Benefit from Emerging Industries? Guest Editorial
Matthias Brachert, Uwe Cantner, H. Graf, Jutta Günther, Michael Schwartz
European Planning Studies, No. 11, 2013
Abstract
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Regions as Selection Environments? The Emergence of the Solar Industry in Germany from 1992 to 2008
Matthias Brachert, Christoph Hornych, Peter Franz
European Planning Studies, No. 11, 2013
Abstract
The spatial evolution of the German solar industry is analysed in the light of the “window of locational opportunity” and the “selection environment” approach. The paper argues that differences in the regions' ability to promote the emergence of local external economies contribute to increasing regional differentiation in the German structure of the industry. Applied empirical methods enclose longitudinal firm entry and network analysis. A special focus is given upon the realignment processes in the science system. Our findings show a relatively rapid spatial concentration of production in eastern Germany since the year 2000. This process is accompanied by intensified networking between firms and between firms and universities as well as research institutes. The responsiveness of regional institutions and the self-organizing capabilities of the solar firms substantiate some propositions of the “selection environment” approach.
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A Systemic View on Knowledge-based Development Metrics
Mirko Titze, Michael Schwartz, Matthias Brachert
International Journal of Knowledge-Based Development, No. 1, 2012
Abstract
Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)
Mirko Titze, Matthias Brachert, Alexander Kubis
Regional Studies, No. 1, 2011
Abstract
The 'cluster theory' has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most empirical applications focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of minimal flow analysis (MFA). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German Nomenclature des Unite´s Territoriales Statistiques (NUTS)-3 regions.
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Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany
Matthias Brachert, Mirko Titze, Alexander Kubis
Papers in Regional Science, No. 2, 2011
Abstract
If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.
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Economic Structure and Regional Performance in Germany, 2002-2007
Alexander Kubis, Matthias Brachert, Mirko Titze
European Planning Studies, No. 2, 2012
Abstract
This paper explores the impact of industrial clusters on regional growth at the German labour market region level using a regional convergence model. Based on the results of an exploratory study of the geography of German industrial clusters, we are able to differentiate the impact of industrial clustering from a horizontal and a vertical perspective while taking regional convergence into consideration. The results indicate that in addition to an all-German process of convergence, a specific East German one can be identified. The different types of industrial clusters show mixed effects within this framework. While vertically isolated industrial clusters have a negative impact on regional growth in this period, positive growth effects can be identified when industrial clusters show an intra-regional vertical interconnectedness.
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Industrielle Cluster als Ursache regionaler Prosperität? Zur Konvergenz deutscher Arbeitsmarktregionen 1996-2005
Alexander Kubis, Matthias Brachert, Mirko Titze
Raumforschung und Raumordnung, /6 2009
Abstract
This paper explores the impact of industrial clusters on regional growth at level of Germany’s functionally defined labour market regions (AMR) within a regional convergence model. It focuses especially on the role of the co-location of vertically connected industrial sectors. Based on works of Schnabl (2000) it is possible to identify three different effects of industrial clusters on regional economic performance. Beside the effect of regionally concentrated economic sectors (horizontal clusters) and value adding chains (vertical clusters) on the region itself, we are able to control for regional spillover effects of industrial clusters. Further the study allows the isolated examination of the impact of industrial cluster while taking regional convergence into consideration. It is possible to demonstrate positive growth effects of industrial clusters along with an overall process of convergence as same as with a specific eastern one. Therefore industrial cluster present an opportunity to explain deficits within the process of East-West-Convergence. Their relative absence of industrial clusters in Eastern Germany influences the growth potential in a negative way.
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Die Identifikation horizontaler und vertikaler industrieller Clusterstrukturen in Deutschland – Ein neues Verfahren und erste empirische Ergebnisse
Mirko Titze, Matthias Brachert, Alexander Kubis
Raumforschung und Raumordnung, /6 2009
Abstract
. If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods starting with specific regional case studies, input-output methods and different concentration measures. This article presents a new instrument in empirical cluster research – the Qualitative Input-Output Analysis –, which offers the possibility to identify industrial cluster in conjunction with concentration measures. Especially, this method allows the combination of an identified critical mass of regional firms with the necessity of interaction of these firms within an input-output framework. Applying this method to Germany’s “Arbeitsmarktregionen” we find that 103 “Arbeitsmarkregionen“ show first signs of horizontal industrial clusters, while only 28 regions are able to attract vertical industrial clusters. 139 “Arbeitsmarktregionen” did not show signs of industrial clusters according to the research design.
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Are Rural Firms Left Behind? Firm Location and Perceived Job Attractiveness of High-skilled Workers
Matthias Brachert, Sabrina Jeworrek
Cambridge Journal of Regions, Economy and Society, 2099
Abstract
We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects the perceived job attractiveness for university students and graduates and, therewith, contributes to the rural–urban divide. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure and connectivity) and vary job design and contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive, regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons of urban origin and singles. In contrast, for individuals with partners and kids this preference is less pronounced. High-skilled individuals who originate from rural areas have no specific regional preference at all.
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