Past research on the impact of R&D cooperation on firm innovation performance has almost solely focused on technological innovations. This paper investigates the impact of R&D cooperation on non-technological innovation performance of firms. In doing so, seven different cooperation partner types are distinguished. Survey data from German firms are used for the econometric analysis. It is shown that R&D cooperation increases the probability of a firm to introduce non-technological innovations. R&D cooperation with suppliers, consultants, other firms within the same firm group and universities has a significant positive impact on organizational and marketing innovation performance. Cooperation with governmental research institutes and competitors has no significant effect. R&D cooperation with customers has a significant impact on a firm's organizational innovation performance, but not on marketing innovation performance.

The aim of this paper is to contribute to the literature by investigating the determinants of R&D co-operation between MNEs’ foreign subsidiaries and enterprises in the region of location, thereby leading to a better understanding which firm- and region-specific factors influence this co-operation behavior. Applying a logit model, this paper investigates which firm- and region-specific determinants influence technological cooperation between foreign subsidiaries and suppliers, customers, and research institutions in the region of location. Results suggest that especially the foreign subsidiary’s mandate in terms of R&D, its internal technological embeddedness, its technological capability but also the regional knowledge stock are positively associated with these co-operations. The analysis focuses on post-transition 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.

Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.

The recent increase in R&D offshoring have raised fears that knowledge and competitiveness in advanced countries may be at risk of 'hollowing out'. At the same time, economic research has stressed that this process is also likely to allow some reverse technology transfer and foster growth at home. This paper addresses this issue by investigating the extent to which R&D offshoring is associated with productivity dynamics of European regions. We find that offshoring regions have higher productivity growth, but this positive effect fades down with the number of investment projects carried out abroad. A large and positive correlation emerge between the extent of R&D offshoring and the home region productivity growth, supporting the idea that carrying out R&D abroad strengthen European competitiveness.

The paper presents estimates for the impact of related variety, unrelated variety and the functions a region performs in the production process on regional employment growth in Germany. We argue that regions benefit from the existence of related activities that facilitate economic development. Thereby the sole reliance of the related and unrelated variety concept on standard industrial classifications (SIC) remains debatable. We offer estimations for establishing that conceptual progress can be made when the focus of analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety and test our hypothesis by the help of spatial panel approach. Our findings suggest that related variety as same as unrelated variety facilitate regional employment growth in Germany. However, the drivers behind these effects do differ. While the positive effect of related variety is driven by high degrees of relatedness in the regional “R&D” and “White-Collar”-functions, the effects of unrelated variety are spurred by “Blue Collar”-functions in this period.

In the literature on environmental innovations R&D collaborations have been identified as a critical determinant of a firm’s environmental innovation performance. However, the literature suggests that R&D collaboration is not always beneficial. Therefore, a more elaborated analysis of the effects of R&D collaborations on a firm’s environmental innovation performance is necessary. This paper investigates the impact of R&D col-laborations with different partner types such as customers, competitors, suppliers, uni-versities, governmental research institutes, consultants and other firms within the same firm group on a firm’s environmental innovation performance. In addition, this paper addresses the question of whether the diversity of R&D collaboration partners is im-portant for the environmental innovation performance. Firm-level data from 2,337 Ger-man service and manufacturing firms are used in the regression analysis. The results suggest that R&D collaboration with suppliers, customers, universities, governmental research institutes, consultants and other firms within the same firm group has a signifi-cantly positive impact on a firm’s environmental innovation performance, whereas col-laboration with competitors has no significant impact. The diversity of R&D collaboration partners has a significantly positive impact on a firm’s environmental innovation performance.

We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.

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.

Wissensintensive Interaktionen sind mit einer Reihe von Vor- und Nachteilen für die beteiligten Akteure verbunden. Deshalb hat sich ein Literaturstrang entwickelt, welcher der Fragestellung nachgeht, wie sich FuE-Kooperationen auf die Leistungsfähigkeit von Firmen und Regionen auswirken. Diese Studien kommen zu unterschiedlichen Ergebnissen. Das Papier versucht die verschiedenen Ergebnisse der Literatur zusammenzufassen. Ein weiteres Ziel ist es, die in der Literatur verwendeten Methoden zur Bearbeitung der Fragestellung kritisch zu diskutieren. Zudem geht das Papier der Frage nach, inwiefern die in der Literatur verwendeten Methoden und Ansätze die Ergebnisse der Studien beeinflussen. Zur Bearbeitung dieser Fragestellungen wird eine Metaanalyse der relevanten Literatur durchgeführt. Dabei wird gezeigt, dass FuE-Kooperationen einen positiven Effekt auf die Leistungsfähigkeit von Firmen und Regionen haben. Zudem gibt es starke Evidenz dafür, dass die verwendeten Methoden und Ansätze die Ergebnisse der Studien beeinflussen.

Innovation is the result of an interactive process. Knowledge-intensive interactions among different partners are associated with a variety of advantages and disadvantages for the actors involved. Therefore, a rich body of literature investigating the impact of R&D collaboration networks on the innovation performance of firms and regions has developed over the last two decades. Those studies come to different results. The aims of this paper are manifold. First, the paper summarizes the results of the relevant literature. Second, a brief overview of the established methods and approaches used in the literature to investigate this research question is given. The third objective is to answer the question whether the achieved results in the literature are predetermined by the employed methods. Finally, relevant gaps for further research are identified. To answer these questions a meta-analysis of the relevant literature is conducted. This study shows that knowledge-intensive interactions have a rather positive impact on the performance of firms and regions. There is also evidence that the employed methods and approaches used in the literature to investigate this research question predetermine the outcome of the research.