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Kubis , Alexander
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Year
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Do Diasporas Affect Regional Knowledge Transfer within Host Countries? A Panel Analysis of German R&D Collaborations
Lutz Schneider, Alexander Kubis, Mirko Titze
Regional Studies, No. 1, 2019
Abstract
Interactive regional learning involving various actors is considered a precondition for successful innovations and, hence, for regional development. Diasporas as non-native ethnic groups are regarded as beneficial since they enrich the creative class by broadening the cultural base and introducing new routines. Using data on research and development (R&D) collaboration projects, the analysis provides tentative evidence that the size of diasporas positively affects the region’s share of outward R&D linkages enabling the exchange of knowledge. The empirical analysis further confirms that these interactions mainly occur between regions hosting the same diasporas, pointing to a positive effect of ethnic proximity rather than ethnic diversity.
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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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Human Capital Mobility and Regional Convergence
Lutz Schneider, Alexander Kubis
Regional Studies, 2012
Abstract
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Selektivität, soziale Bindung und räumliche Mobilität - Eine Analyse der Rückkehrpräferenz nach Ostdeutschland
Lutz Schneider, Alexander Kubis, D. Wiest
Zeitschrift für Wirtschaftsgeographie, No. -1, 2011
Abstract
Selectivity, social ties and spatial mobility. An analysis of preferences for return migration to East Germany. In the public debate, brain drain from East Germany is supposed to be the most critical trend regarding the development and catching up of the New Länder. Therefore, potential for in- and re-migration has attracted much attention at least in the political context. Our contribution analyses the remigration potential on basis of data from a DFG research project focussing on the re-migration intentions of people formerly emigrated from Saxony-Anhalt. The analysis concentrates on the following aspects: the effect of job market success after emigration; the impact of social ties to the origin and the host region and on the selectivity of re-migration preferences. The econometric results confirm several expected effects: On the one hand an individual’s job market success reduces the intention to return. Likewise, the re-migration preference increases for people whose expectations were disappointed. On the other hand, the relevance of social ties to the origin region for re-migration dispositions is confirmed by the estimations. Yet, regarding selectivity of re-migration preferences in terms of human capital econometric results are somewhat ambiguous.
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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 Units 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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Are there Gender-specific Preferences for Location Factors? A Grouped Conditional Logit-model of Interregional Migration Flows in Germany
Lutz Schneider, Alexander Kubis
Schmollers Jahrbuch, 2010
Abstract
Die vorliegende Arbeit untersucht geschlechtsspezifische Unterschiede in der Wertschätzung regionaler Standortfaktoren. Die Standortpräferenzen werden auf Basis einer Analyse von interregionalen Wanderungsströmen innerhalb Deutschlands analysiert. Die Untersuchung basiert auf einem Grouped Conditional Logit-Ansatz, wobei die Probleme der Unabhängigkeit von irrelevanten Alternativen und der Überdispersion berücksichtigt werden. Im Ergebnis zeigt sich zunächst, dass bei Frauen und Männern dieselben regionalen Charakteristika als Pull- oder aber als Push-Faktoren wirken. Geschlechtsspezifische Unterschiede werden aber hinsichtlich Stärke des Einflusses der einzelnen Faktoren sichtbar, vor allem im Hinblick auf das regionale Lohnniveau und das Angebot an Bildungseinrichtungen. Darüber hinaus zeigt sich, dass Frauen auch nach Kontrolle von Standortfaktoren mobiler sind als Männer.
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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
Der Beitrag untersucht im Rahmen eines regionalen Konvergenzmodells den Einfluss, den industrielle Cluster auf das Wachstum der deutschen AMR von 1996 bis 2005 ausüben. Dabei erfährt insbesondere die Rolle der Ko-Lokalisierung von konzentrierten verbundenen Wirtschaftszweigen eine besondere Beachtung. Aufbauend auf den Arbeiten von Schnabl (2000) gelingt es, drei verschiedene Effekte industrieller Cluster zu identifizieren, welche die wirtschaftliche Leistungsfähigkeit von Regionen beeinflussen. Neben den Wirkungen regional konzentrierter Wirtschaftszweige (horizontale Cluster) sowie daraus ableitbarer Wertschöpfungsketten (vertikale Cluster) auf die jeweilige Region selbst, kann ebenso die Rolle dieser Cluster auf die Entwicklung benachbarter Regionen (Spillover industrieller Cluster) identifiziert werden. Die Untersuchung erlaubt hier ihre isolierte Betrachtung und ermöglicht Einsichten über die Wirkung industrieller Cluster unter gleichzeitiger Beachtung regionaler Konvergenzprozesse. Es gelingt der Nachweis von Wachstumseffekten durch industrielle Cluster, parallel zu einem gesamtdeutschen Konvergenzprozess ebenso wie zu einem spezifischen Ost-Konvergenzprozess. Industrielle Cluster stellen somit eine Möglichkeit dar, die Defizite der Ost-West-Konvergenz bei gleichzeitiger Binnendifferenzierung zu erklären. Der relative Mangel an industriellen Clustern wirkt sich aus derzeitiger Sicht in Ostdeutschland nachteilig auf das Wachstumspotential der Regionen aus, da er deren Gesamtentwicklung nicht unterstützt.
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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
Folgt man der Überlegung, dass das Clusterkonzept für die regionale Wirtschaftspolitik Ansatzpunkte bildet, um Wirtschaftswachstum sowie Wettbewerbsfähigkeit von Regionen zu fördern, so setzt dies voraus, industrielle Cluster umfassend zu identifizieren. Bisherige Untersuchungen bedienen sich dazu einer methodischen Vielfalt, ausgehend von spezifischen regionalen Fallstudien über Input-Output-Methoden hin zu verschiedenen Konzentrationsmaßen. Der vorliegende Beitrag verwendet ein für die empirische Clusterforschung neues Instrument – die Qualitative Input-Output-Analyse. Ihr wohnt nach Ansicht der Autoren die Möglichkeit inne, in Verbindung mit Konzentrationsmaßen einen Beitrag zur flächendeckenden Identifikation industrieller Cluster zu liefern. Insbesondere erlaubt die vorgestellte Methodik die Zusammenführung des Tatbestandes einer kritischen Masse von Unternehmen mit dem Merkmal der Interaktion dieser über Input-Output-Beziehungen auch auf größeren regionalen Untersuchungsebenen. Wendet man die Methodik auf die deutschen Arbeitsmarktregionen an, so wird ersichtlich, dass 103 von 270 Arbeitsmarktregionen über Ansätze horizontaler Cluster verfügen, weitere 28 Regionen beherbergen vertikale industrielle Cluster. 139 Arbeitsmarktregionen weisen gemäß dem gewählten Untersuchungsdesign weder horizontale noch vertikale Cluster auf.
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