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Germany’s economy is so bad even sausage factories are closingIWHThe Economist, January 15, 2026
The focus of this paper is on the match between strategic motives of foreign investments into Central-Eastern Europe and locational advantages offered by these countries. Our analysis makes use of the IWH-FDI-Micro Database, a unique dataset that contains information from 2009 about the determinants of locational factors, technological activity of the subsidiaries, and the potentials for knowledge spillovers in the Czech Republic, Hungary, Poland, Romania, and Slovakia. The analysis suggests that investors in these countries are mainly interested in low (unit) labour costs coupled with a well-trained and educated workforce and an expanding market with the high growth rates in the purchasing power of potential buyers. It also suggests that the financial crisis reduced the attractiveness of the region as a source for localised knowledge and technology. There appears to be a match between investors’ expectations and the quantitative supply of unqualified labour, not however for the supply of medium qualified workers. But the analysis suggests that it is not technology-seeking investments that are particularly content with the capabilities of their host economies in terms of technological cooperation. Finally, technological cooperation within the local host economy is assessed more favourably with domestic firms than with local scientific institutions – an important message for domestic economic policy.
Der Beitrag stellt die IWH-FDI-Mikrodatenbank vor. Er beschreibt die konzeptionellen Ideen der Datenbank und wie sich die Datenbank von anderen, existierenden Mikrodaten zu ausländischen Direktinvestitionen unterscheidet. Seit 2007 werden im Rahmen der IWH-FDI-Mikrodatenbank auf Unternehmensebene Informationen gesammelt zur allgemeinen Geschäftsentwicklung, zu technologischen Aktivitäten und zu Informationen über die konzerninternen Governancestrukturen. Die Daten werden bei den ausländischen Tochtergesellschaften multinationaler Unternehmen in Ostdeutschland und Osteuropa erhoben. Der Beitrag zeigt auf, welche Forschungslücken mit dem Datensatz bisher geschlossen wurden und schließt mit einem Ausblick bezüglich zukünftiger Forschungspotentiale.
We analyze the impact on a firm’s profits and optimal wage rates, and on the distribution of workers’ earnings, when workers compare their earnings with those of co-workers. We consider a low-productivity worker who receives lower wage earnings than a high-productivity worker. When the low-productivity worker derives (dis)utility not only from his own effort but also from comparing his earnings with those of the high-productivity worker, his response to the sensing of relative deprivation is to increase the optimal level of effort. Consequently, the firm’s profits are higher, its wage rates remain unchanged, and the distribution of earnings is compressed.
We consider a setting in which the acquisition of human capital entails a change of location in social space that causes individuals to revise their comparison groups. Skill levels are viewed as occupational groups. Moving up the skill ladder by acquiring additional human capital, in itself rewarding, leads to a shift in the individual’s inclination to compare himself with a different, and on average better-paid, comparison group, in itself penalizing. We shed new light on the dynamics of human capital formation, and suggest novel policy interventions to encourage human capital formation in the aggregate and reduce inter-group income inequality.
Die Einführung des Europäischen Emissionshandels bedeutet, dass teilnehmende Unternehmen einen neuen Unsicherheitsfaktor bei ihrer Planung zu berücksichtigen haben - Emissionszertifikate. In diesem Artikel untersuchen wir, wie dieses Risiko um Rahmen einer stochastischen Plan- Gewinn- und Verlustrechnung (GuV) berücksichtige werden kann. Dafür erkunden wir welche Plangrößen durch den Emissionshandel beeinflusst werden. Weiter zeigen wir einen Ansatz, diese Größen in einer Plan-GuV zu modellieren. Dabei werden Unsicherheiten und Abhängigkeiten explizit berücksichtigt. Deshalb stellt das vorgestellte Modell eine Basis für Risikobewertungen und Investitionsentscheidungen im unsicheren Umfeld des CO2-Zertifikatehandels dar.
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.
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.
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.
Using a large linked employer–employee data set for Germany, we find that the existence of a works council is associated with a lower separation rate to employment, in particular for workers with low tenure. While works council monopoly effects show up in all specifications, clear voice effects are only visible for low tenured workers. Works councils also reduce separations to nonemployment, and this impact is more pronounced for men. Insurance effects only show up for workers with tenure of more than 2 years. Our results indicate that works councils to some extent represent the interests of a specific clientele.
In 2004, European competition law had been considerable changed by the introduction of the new Council Regulation No. 1/2003. One of the major renewals was the replacement of the centralized notification system for inter-company cooperations in favor of a so-called legal exemption system. We analyze the implications of this reform and its arising uncertainty on the agreements firms implement, especially on innovative agreements like vertical R&D agreements. By means of a decision theoretic approach, we show that the law’s intention to reduce the incentive to establish illegal cartels will be reached but innovating cooperations might be prevented. To avoid this unintended side effect, fines but not the monitoring activities should be increased.
