25 Jahre IWH

Dr. Alexander Kubis

Dr. Alexander Kubis
Aktuelle Position

seit 7/12

Research Affiliate

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

seit 3/11

wissenschaftlicher Mitarbeiter

Institut für Arbeitsmarkt- und Berufsforschung (IAB) Nürnberg

Forschungsschwerpunkte

  • Regionalökonomik
  • Arbeitsmarktökonomik
  • Humankapital

Dr. Alexander Kubis ist wissenschaftlicher Mitarbeiter am Institut für Arbeitsmarkt- und Berufsforschung (IAB) Nürnberg.

Seine Expertise in den Bereichen der Regional- und Arbeitsmarktökonomik sowie der räumlichen Ökonometrie wird Dr. Kubis künftig im Rahmen der IWH-Forschungsprojekte zu Determinanten der Humankapitalmobilität sowie zu den Bestimmungsgründen und Folgen der räumlichen Verflechtungen von wirtschaftlicher Aktivität einbringen.

Ihr Kontakt

Dr. Alexander Kubis
Dr. Alexander Kubis
Mitglied - Abteilung Strukturwandel und Produktivität
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Publikationen

Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany

Matthias Brachert Mirko Titze Alexander Kubis

in: Papers in Regional Science , Nr. 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.

Publikation lesen

Analysis of location of large-area shopping centres - A probalistic gravity model for the Halle-Leipzig area

Alexander Kubis Maria Hartmann

in: Jahrbuch für Regionalwissenschaft , Nr. 1, 2007

Abstract

Eine fundierte Analyse großflächiger Einkaufszentren aus der Sicht des Einzelhandels aber auch der Kommunen ist unter dem Blickwinkel der Standortwahl von großer Wichtigkeit. Im mitteldeutschen Raum stellt die Region Halle–Leipzig ein besonderes Beispiel starker Wettbewerbsbeziehungen der verschiedenen Aktionspartner dar. Grundlegend für die in diesem Artikel dargestellte Auswertung ist das MCIModell von Nakanishi und Cooper. Auf seiner Basis werden die regionalen Einflüsse von neun großen Einkaufszentren in der betrachteten Region analysiert. Die Analyse weist nach, dass die untersuchten Großzentren sehr stark die Einzelhandelsstruktur der Region bestimmen und auf Grund ihres relativen Erfolges gegenüber anderen Einzelhandelsstandorten (Innenstädte) einen großen Einfluss auf die Strukturschwäche der umliegenden Städte haben. Ein beträchtliches Umsatzvolumen der Landkreise fließt zu den untersuchten Einkaufszentren ab. Auf der anderen Seite beschreibt dieser Artikel den starken Einfluss einer systematischen Standortwahl auf das erzielbare Umsatzpotenzial der modellierten großflächigen Einkaufszentren untereinander. Die Großzentren Saale Park Günthersdorf (heute Nova Eventis) sowie Paunsdorf Center Leipzig weisen dabei den größten Einfluss auf die Konkurrenzzentren auf.

Publikation lesen

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Economic Structure and Regional Performance in Germany, 2002-2007

Alexander Kubis Matthias Brachert Mirko Titze

in: European Planning Studies , Nr. 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.

Publikation lesen

Arbeitspapiere

Related Variety, Unrelated Variety and Regional Functions: A spatial panel approach

Matthias Brachert Alexander Kubis Mirko Titze

in: Papers in Evolutionary Economic Geography , 2013

Abstract

The paper presents estimates for the impact of related variety, unrelated variety and the functions a region performs in the production process on regional employment growth in Germany. We argue that regions benefit from the existence of related activities that facilitate economic development. Thereby the sole reliance of the related and unrelated variety concept on standard industrial classifications (SIC) remains debatable. We offer estimations for establishing that conceptual progress can be made when the focus of analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety and test our hypothesis by the help of spatial panel approach. Our findings suggest that related variety as same as unrelated variety facilitate regional employment growth in Germany. However, the drivers behind these effects do differ. While the positive effect of related variety is driven by high degrees of relatedness in the regional “R&D” and “White-Collar”-functions, the effects of unrelated variety are spurred by “Blue Collar”-functions in this period.

Publikation lesen

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Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions

Alexander Kubis Lutz Schneider

in: IWH-Diskussionspapiere , Nr. 9, 2012

Abstract

Since the fall of the iron curtain in 1989, the migration deficit of the Eastern part of Germany has accumulated to 1.8 million people, which is over ten percent of its initial population. Depending on their human capital endowment, these migrants might either – in the case of low-skilled migration – accelerate or – in high-skilled case – impede convergence. Due to the availability of detailed data on regional human capital, migration and productivity growth, we are able to test how geographic mobility affects convergence via the human capital selectivity of migration. With regard to the endogeneity of the migration flows and human capital, we apply a dynamic panel data model within the framework of β-convergence and account for spatial dependence. The regressions indicate a positive, robust, but modest effect of a migration surplus on regional productivity growth. After controlling for human capital, the effect of migration decreases; this decrease indicates that skill selectivity is one way that migration impacts growth.

Publikation lesen

Human Capital Mobility and Convergence. A Spatial Dynamic Panel Model of the German Regions

Alexander Kubis Lutz Schneider

in: IAB-Discussion Paper 23/2012 , 2012

Abstract

Since the fall of the iron curtain in 1989, the migration deficit of the Eastern part of Germany has accumulated to 1.8 million people, which is over 10 percent of its ini-tial population. Depending on their human capital endowment, these migrants might either – in the case of low-skilled migration – accelerate or – in high-skilled case– impede convergence. Due to the availability of detailed data on regional human capital, migration and productivity growth, we are able to test how geographic mobil-ity affects convergence via the human capital selectivity of migration. With regard to the endogeneity of the migration flows and human capital, we apply a dynamic panel data model within the framework of β-convergence and account for spatial depend-ence. The regressions indicate a positive, robust, but modest effect of a migration surplus on regional productivity growth. After controlling for human capital, the effect of migration decreases; this decrease indicates that skill selectivity is one way that migration impacts growth.

Publikation lesen
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