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Is this really the ‘most dangerous man in Germany’?IWHThe Spectator, August 23, 2026
Using a 50 % sample of all private sector establishments in Germany, we report that spinoffs are larger, initially employ more skilled and more experienced workers, and pay higher wages than other startups. We investigate whether spinoffs are more likely to survive than other startups, and whether spinoff survival depends on the quality and size of their parent companies, as suggested in some of the theoretical and empirical literature. Our estimated survival models confirm that spinoffs are generally less likely to exit than other startups. We also distinguish between pulled spinoffs, where the parent company continues after they are founded, and pushed spinoffs, where the parent company stops operations. Our results indicate that in western and eastern Germany and in all sectors investigated, pulled spinoffs have a higher probability of survival than pushed spinoffs. Concerning the parent connection, we find that intra-industry spinoffs and spinoffs emerging from better-performing or smaller parent companies are generally less likely to exit.
In Germany, dependent employees take almost 30 days of paid vacation annually. We enquire whether an individual’s trade union membership affects the duration of vacation. Using data from the German Socio-Economic Panel (SOEP) for the period 1985 to 2010 and employing pooled OLS-estimators, we find that being a union member goes along with almost one additional day of vacation per year. Estimations exploiting the panel structure of our data suggest that a smaller part of this vacation differential can be due to the union membership status, while self-selection effects play a more important role.
Using linked employer–employee panel data for Germany, we investigate whether firms implement real wage reductions in a selective manner. In line with insider–outsider and several strands of efficiency wage theory, we find strong evidence for selective wage cuts with high-productivity workers being spared even when controlling for permanent differences in firms' wage policies. In contrast to some recent contributions stressing fairness considerations, we also find that wage cuts increase wage dispersion among peers rather than narrowing it. Notably, the same selectivity pattern shows up when restricting our analysis to firms covered by collective agreements or having a works council.
We show that the major part of the plant size–wage premium in Germany is reflected in different wage growth patterns in plants of different size. This is consistent with the hypothesis that large firms ‘produce’ more skilled workers over time.
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.
We studied an underrepresented area in the international business (IB) literature: the effect of country context distance on the distribution of decision-making autonomy across headquarters and foreign affiliates. Foreign affiliates directly contribute to the competitive advantages of multinational enterprises, highlighting the importance of such intra-firm collaboration. The division of decision-making autonomy is a core issue in the management of headquarters–subsidiary relationships. The main contribution of our paper is that we confront two valid theoretical frameworks – business network theory and agency theory – that offer contradictory hypotheses with respect to the division of decision-making autonomy. Our study is among the first to examine this dilemma with a unique dataset from five Central and Eastern European transition countries. The empirical results provide convincing support for our approach to the study of subsidiary decision-making autonomy.
It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role.
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
In this review, we argue that the Schumpeterian growth paradigm, which models growth as resulting from innovations involving creative destruction, sheds light on several aspects of the growth process that cannot be properly addressed by alternative theories. We focus on three important aspects for which Schumpeterian growth theory delivers predictions that distinguish it from other growth models, namely, (a) the role of competition and market structure, (b) firm dynamics, and (c) the relationship between growth and development.
