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Dr Alexander Kubis

Dr Alexander Kubis
Current Position

since 7/12

Research Affiliate

Halle Institute for Economic Research (IWH) – Member of the Leibniz Association

since 3/11

Researcher

Institute for Employment Research (IAB) Nuremberg

Research Interests
  • regional economics
  • labour economics
  • human capital

Alexander Kubis joined the institute as a Research Affiliate in July 2012. His research focuses on regional and labour economics, as well as spatial econometrics.

Alexander Kubis holds the position of researcher at the Institute for Employment Research (IAB). Prior to that, he was working at IWH.

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Dr Alexander Kubis
Dr Alexander Kubis
Mitglied - Department Structural Change and Productivity
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Publications

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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

in: 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

in: 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

in: Regional Studies, 2012

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Working Papers

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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.

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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

in: IWH Discussion Papers, No. 5, 2009

Abstract

The article analyses the question whether women and men differ in their tastes for location factors. The question is answered by quantifying the impact of location characteristics on interregional migration flows across Germany. The analysis is based on a grouped conditional logit approach. We augment the framework by controlling for violation of the independence of irrelevant alternatives assumption and for overdispersion. As a result, we find no differences in terms of direction of impact. However, the regressions confirm gender differences in terms of intensity, particularly regarding regional wage levels and the availability of educational institutions.

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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis

Mirko Titze Matthias Brachert Alexander Kubis

in: IWH Discussion Papers, No. 13, 2008

Abstract

The ‘cluster theory’ has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most studies focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations within a value-adding chain is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of Minimal Flow Analysis by Schnabl (1994). 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 NUTS-3 regions.

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