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Wenn die AfD hier gewinnt, wären die Folgen überall in Deutschland deutlich zu spürenReint GroppDer Spiegel, 8. Januar 2026
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.
This article analyses how regional employment growth in Germany is affected by related variety, unrelated variety and the functions a region performs in the production process. Following the related variety literature, we argue that regions benefit from the existence of related activities that facilitate economic development. However, we argue that the sole reliance of related variety on standard industrial classifications remains debatable. Hence, we offer estimations for establishing that conceptual progress can indeed be made when a focus for analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety. Our findings suggest that related variety only in combination with a high functional specialization of the region facilitates regional growth in Germany. Additionally, also unrelated variety per se fails to wield influences affecting development of regions. It is rather unrelated, but functionally proximate variety in the groups “White Collar” and “Blue Collar Workers” positively affects regional employment growth.
Die Abwanderung überwiegend junger, gebildeter Menschen aus Ostdeutschland wird häufig als nachteilig für die Entwicklungsfähigkeit und den Aufholprozess der Neuen Länder betrachtet. Das Phänomen der Zuwanderung – und dabei nicht zuletzt der Rückwanderung vormals Abgewanderter – findet in diesem Zusammenhang besonderes Interesse. Die vorliegende Arbeit analysiert die Rückwanderungsneigung auf Basis eines im Rahmen des DFG-Forschungsprojektes „Brain drain aus Ostdeutschland“ am Lehrstuhl für Sozialgeographie der Martin-Luther-Universität Halle-Wittenberg erhobenen Datensatzes zu den Einstellungen und Motivlagen aus Sachsen-Anhalt abgewanderter junger Menschen. Dabei wird auf folgende Aspekte besonderer Wert gelegt: die Wirkung des Arbeitsmarkterfolges nach der Abwanderung; der Einfluss sozialer Bindungen in der Herkunfts- und der Zielregion; schließlich die Selektivität der Rückwanderungsneigung. Im Ergebnis zeigt sich erstens, dass der individuelle Arbeitsmarkterfolg in der Zielregion die Rückkehrneigung verringert. Zweitens konnte die rückwanderungsfördernde Wirkung bestehender sozialer Bindungen zum Herkunftsgebiet nachgewiesen werden. Hinsichtlich der Selektivität der Rückwanderungsintentionen sind die Ergebnisse ambivalent.
We use a combination of measures of spatial concentration, qualitative input-output analysis and innovation interaction matrices to identify the horizontal and vertical dimension of industrial clusters in Saxony in 2005. We describe the spatial allocation of the industrial clusters and show possibilities of vertical interaction of clusters based on intermediate goods flows. With the help of region and sector-specific knowledge interaction matrices we are able to show that a sole focus on intermediate goods flows limits the identification of innovative actors in industrial clusters, as knowledge flows and intermediate goods flows do not show any major overlaps.
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.
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.
Our study examines the regional patterns and determinants of migration flows of young women. At the NUTS-3 regional level, i.e. the district level (Kreise), the German internal migration flows of the year 2005 are explored. From descriptive statistics it can be seen that peripheral regions in East Germany face the strongest migration deficit with respect to young women, whereas agglomerations in West Germany but also in the East benefit from an intense migration surplus within this group. An econometric analysis of determinants of regional migration flows gives evidence of the importance of labour market, family-related and educational migration motives. Generally speaking, young women tend to choose regions with good income and job opportunities, in addition they seem to be attracted by regions enabling an appropriate balance between family and career. Furthermore the existence of excellent educational facilities is a significant influence for young women’s migration. This educationally motivated type of migration generates a long lasting effect on the regional migration balance, especially when the educational opportunities in the destination region are associated with adequate career perspectives for high qualified female graduates. In view of considerable losses due to migration, the study shows various options for action. An important course of action is to incorporate policy measures improving regional employment and income opportunities. Secondly, extending vocational and academic offers addressed to women seems to be a suitable way to stimulate women’s immigration. Moreover, enhancing the social infrastructure, which contributes to a satisfactory work life balance, might attract young women or at least reduce the number of them leaving a region.
Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).
