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Wenn die AfD hier gewinnt, wären die Folgen überall in Deutschland deutlich zu spürenReint GroppDer Spiegel, 8. Januar 2026
Using a large linked employer–employee dataset for Germany with a direct plant-level measure of product market competition and controlling for job-cell fixed effects, we investigate whether relative wages of women benefit from strong competition. We find that the unexplained gender pay gap is about 2.4 log points lower in West German plants that face strong product market competition than in those experiencing weak competition, whereas no such link shows up for East Germany.
We examine whether scientists employed in foreign countries and foreign-educated native researchers are more “entrepreneurial” than their “domestic” counterparts. We conjecture that foreign-born and foreign-educated scientists possess broader scientific skills and social capital, which increases their likelihood that they will start their own companies. To test this hypothesis we analyze comprehensive data from researchers at the Max Planck Society in Germany. Our findings provide strong support for the conjecture that academic entrepreneurship can be stimulated by facilitating the mobility of scientists across countries.
Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects’ innovation output in terms of the number of publications but not in terms of patent applications. In general, projects’ funding as measure of projects’ size is an important predictor of the innovation output of R&D cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects’ size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of R&D cooperation support schemes.
To what extent and in what form should the intellectual property rights (IPR) of innovators be protected? Should a company with a large technology lead over its rivals receive the same IPR protection as a company with a more limited advantage? In this paper, we develop a dynamic framework for the study of the interactions between IPR and competition, in particular to understand the impact of such policies on future incentives. The economy consists of many industries and firms engaged in cumulative (step-by-step) innovation. IPR policy regulates whether followers in an industry can copy the technology of the leader. We prove the existence of a steady-state equilibrium and characterize some of its properties. We then quantitatively investigate the implications of different types of IPR policy on the equilibrium growth rate and welfare. The most important result from this exercise is that full patent protection is not optimal; instead, optimal policy involves state-dependent IPR protection, providing greater protection to technology leaders that are further ahead than those that are close to their followers. This is because of a trickle-down effect: providing greater protection to firms that are further ahead of their followers than a certain threshold increases the R&D incentives also for all technology leaders that are less advanced than this threshold.
From a theoretical point of view, it is traditionally assumed that foreign firms possess a centrally accumulated firm-specific technological advantage over domestic firms (see, for example, Findlay, 1978; Dunning, 1979). Given a sufficient level of absorptive capacity and human capital, domestic firms in host economies are able to benefit from various externalities stimulated by the presence of foreign firms.
The key objective of this study is to determine whether or not psychic distance between home and host countries influences the decision-making autonomy of subsidiaries. Theoretical arguments for the relationship between psychic distance and subsidiary autonomy go in both directions with some predicting a negative relationship and others predicting a positive one. We test these conflicting hypotheses with a unique multi-country and multi-industry database reporting survey evidence of 809 subsidiaries located in five Central and Eastern European countries that serve headquarters in 44 different nation states. Psychic distance is a multidimensional construct and measured in terms of linguistic, religious, economic, institutional and geographic distance. The empirical results of 103 country pairs suggest that psychic distance – in terms of religious and economic distance – is positively related to autonomy.
In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.
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.
Determinanten der technischen Effizienz von regionalen Innovationssystemen, Regional Studies. Wir analysieren Unterschiede in der Effizienz regionaler Innovationssysteme (RIS). Zunächst werden alternative Maße für die Effizienz von RIS diskutiert, die auf dem Konzept der Wissensproduktionsfunktion aufbauen. Die empirischen Ergebnisse deuten darauf hin, dass sowohl Spillover aus dem privaten Sektor als auch von Hochschulen und anderen öffentlichen Forschungseinrichtungen die Effizienz privater F&E-Aktivitäten positiv beeinflussen. Insbesondere die Intensität der Interaktion zwischen öffentlichen Einrichtungen und dem Privatsektor führt zu hoher Effizienz. Regionen, die durch Großbetriebe dominiert sind, weisen tendenziell eine geringere Effizienz der Innovationsaktivitäten auf als Regionen mit einer geringeren durchschnittlichen Betriebsgröße.
