It is widely unclear as to whether start-up firms supported by publicly-initiated incubator initiatives have higher survival rates than comparable start-up firms that have not received support by such initiatives. This paper contributes to the underlying discussion by performing a large-scale matched-pairs analysis of the long-term survival of 371 incubator firms (after their graduation) from five German incubators and a control group of 371 comparable non-incubated firms. The analysis covers a 10-year time span. To account for the problem of selection bias, a non-parametric matching approach is applied to identify an appropriate control group. For neither of the five incubator locations, we find statistically significant higher survival probabilities for firms located in incubators compared to firms located outside those incubator organizations. For three incubator locations the analysis reveals statistically significant lower chances of survival for those start-ups receiving support by an incubator. The empirical results, therefore, raise some doubts regarding the impacts of incubation on long-term firm survival.

Innovation systems abroad become more and more important to multinational enterprises (MNEs) as sources of knowledge and technology. On the other hand, MNEs’ foreign subsidiaries can be considered agents of technological and economic development in their target location region. Applying a logit estimation, this discussion paper investigates which firm- and region-specific determinants influence cooperations in the area of research and development (R&D) between the foreign subsidiary and the regional innovation system. Results suggest that especially the foreign subsidiary’s mandate in terms of R&D and management, its size and the regional knowledge stock are positively associated with these co-operations. The analysis focuses on posttransition economies, using the example of five selected CEE countries and East Germany. We exploit a unique dataset – the IWH FDI Micro Database – which holds information on 1,245 foreign subsidiaries in this region.

The integration of post-communist countries into the European and global economy after 1990 has led to a renewed interest in the role of multinational enterprises (MNEs) in economic restructuring and technological development. This book explains the expansion of MNEs into a transition economy from the technology accumulation perspective. Key assumptions of the technological accumulation approach towards firms' internationalisation are tested, using the examples of foreign and West German MNEs in East Germany. The effects of technological externalities on MNE location choice are analysed, in addition to an exploration of the factors driving the location of foreign affiliates' research and development (R&D) and innovation activities. The book provides a novel and comprehensive empirical approach to assess the developmental role of MNEs, deriving significant economic policy implications for transition and emerging economies.

This dissertation applies the theory of technology accumulation to explain the internationalisation of foreign and West German multinational enterprises (MNEs) into East Germany. This theory shifts the focus from technology transfer to the international diffusion of innovation within the MNE. It rejects the position that all MNEs offer the same technological opportunities to host economies. Yet, most of the existing empirical research on postcommunist transition economies including East Germany applies the traditional technology transfer perspective. Therefore, this dissertation provides a complementary and novel approach. We assume a dynamic interaction between existing location specific technological capabilities within the host country, MNEs’ location choice, their internationalisation of research and development (R&D) and innovation, and the potential for technological spillover effects from MNEs to the host economy. The dissertation exploits information from the IWH FDI micro database on the full population of MNEs that entered East German manufacturing until 2005 and corresponding survey data. Microeconometric estimation results generate a number of novel findings: We can show that existing location specific technological capabilities affect MNEs’ general location choice within East Germany. They are not powerful enough to attract MNEs’ technological activities. Instead, the location of MNEs’ innovation requires the joint presence of technological and industry specialisation within regions, whereas foreign R&D benefits from technological specialisation in combination with a diversified industry structure. Moreover, the location of technological activity differs depending upon the underlying motive for internationalisation. Our findings suggest that the potential for technological externalities from affiliates to local firms is subject to centrally and locally driven technological heterogeneity of MNEs. Existing location specific technological capabilities do not affect the spillover potential. This hints a limited dynamic interaction of ownership and locational advantages in firms’ internationalisation. We derive implications for the technology accumulation theory as well as for various fields of science and technology policy.

Empirical and theoretical contributions provide strong evidence that firm-level performance outcomes in terms of innovativeness can either be determined by the firm’s position in the social space (network effects) or by the firm’s position in the geographical space (co-location effects). Even though we can observe quite recently first attempts in bringing together these traditionally distinct research streams (Whittington et al. 2009), research on interdependent network and geographical co-location effects is still rare. Consequently, we seek to answer the following research question: considering that the effects of social and geographic proximity on firm’s innovativeness can be interdependent, what are the distinct and combined effects of firm’s network and geographic position on firm-level innovation output? We analyze the innovative performance of German laser source manufacturers between 1995 and 2007. We use an official database on publicly funded R&D collaboration projects in order to construct yearly networks and analyze firm’s network positions. Based on information on population entries and exits we calculate various types of geographical proximity measures between private sector and public research organizations (PRO). We use patent grants as dependent variable in order to measure firm-level innovation output. Empirical results provide evidence for distinct effect of network degree centrality. Distinct effect of firm’s geographical co-location to laser-related public research organization promotes patenting activity. Results on combined network and co-location effects confirms partially the existence of in-terdependent proximity effects, even though a closer look at these effects reveals some ambiguous but quite interesting findings.

It is widely unclear as to whether start-up firms supported by publicly-initiated incubator initiatives have higher survival rates than comparable start-up firms that have not received support by such initiatives. This paper contributes to the underlying discussion by performing an empirical analysis of the long-term survival of 371 incubator firms (after their graduation) from five German incubators and contrasting these results with the long-term survival of a control group of 371 comparable non-incubated firms. The analysis covers a 10-year time span. To account for the problem of selection bias, a non-parametric matching approach is applied to identify an appropriate control group. For neither of the five incubator locations we find statistically significant higher survival probabilities for firms located in incubators compared to firms located outside those incubator organizations. For three incubator locations the analysis even reveals statistically significant lower chances of survival for those start-ups having received support by an incubator. We therefore arrive at the conclusion that being located in an incubator – contrasting the widespread rhetoric of policy actors and incubator stakeholders – does not increase the chances of long-term business survival.

Recent literature on multinational firms has stressed the importance of low productivity as a barrier to the cross-border expansion of firms. But firms may also need external finance to shoulder the costs of entering foreign markets. We develop a model of multinational firms facing real and financial barriers to foreign direct investment (FDI), and we analyze their impact on the FDI decision (the extensive margin) and foreign affiliate sales (the intensive margin). We provide empirical evidence based on a detailed dataset of German multinationals which contains information on parent-level and affiliate-level financial constraints as well as about the location the foreign affiliates. We find that financial factors constrain firms’ foreign investment decisions, an effect felt in particular by large firms. Financial constraints at the parent level matter for the extensive, but less

so for the intensive margin. For the intensive margin, financial constraints at the affiliate level are relatively more important.