The Impact of R&D Collaboration Networks on the Performance of Firms and Regions: A Meta-analysis of the Evidence
Gunnar Pippel
International Journal of Networking and Virtual Organisations,
Nr. 4,
2013
Abstract
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.
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Determinants of Evolutionary Change Processes in Innovation Networks – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Andreas Pyka, Jutta Günther
Abstract
We seek to understand the relationship between network change determinants, network change processes at the micro level and structural consequences at the overall network level. Our conceptual framework considers three groups of determinants – organizational, relational and contextual. Selected factors within these groups are assumed to cause network change processes at the micro level – tie formations and tie terminations – and to shape the structural network configuration at the overall network level. We apply a unique longitudinal event history dataset based on the full population of 233 German laser source manufacturers and 570 publicly-funded cooperation projects to answer the following research question: What kind of exogenous or endogenous determinants affect a firm’s propensity and timing to cooperate and enter the network? Estimation results from a non-parametric event history model indicate that young micro firms enter the network later than small-sized and large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected yet quite interesting findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of contextual determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space
Muhamed Kudic, Peter Bönisch, Iciar Dominguez Lacasa
Abstract
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.
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Mutual Perception of Science and Industry in Innovation Networks – Evidence from East Germany
Jutta Günther, Cornelia Lang
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
The paper examines how science and industry perceive each other. Cooperation in the field of innovation and research and development has increased in recent years. But comprehensive empirical research on the mutual perception of science and industry is lacking so far. The article presents the results of explorative research based on a number of qualitative interviews with representatives from science and industry on that topic. The interviews were carried out in the Central German Region which is a centre of manufacturing industry especially of chemicals. So the two selected industries are chemical industry (high-tech based) and food processing (low-tech based). The paper provides remarks on the German innovation system. The empirical section summarizes the interview reports. We found only little evidence of conflict of interests between market-oriented industry and science organisations. Cooperation exists and works. The key issue is trust.
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Challenges for Future Regional Policy in East Germany. Does East Germany really show Characteristics of Mezzogiorno?
Mirko Titze
A. Kuklinski; E. Malak-Petlicka; P. Zuber (eds), Souther Italy – Eastern Germany – Eastern Poland. The Triple Mezzogiorno? Ministry of Regional Development,
2010
Abstract
Despite extensive government support the gap between East and West Germany has still not been successfully closed nearly 20 years post German unification. Hence, some economists tend to compare East Germany with Mezzogiorno – underdeveloped Southern Italy. East Germany is still subject to sever structural problems in comparison to West Germany: lower per capita income, lower productivity, higher unemployment rates, fewer firm headquarters and fewer innovation activities. There are East German regions with less than desirable rates of development. Nevertheless, the new federal states have shown some evidence of a convergence process. Some regions have developed very positively – they have improved their competitiveness and employment levels. As such, the comparison of East Germany with Mezzogiorno does not seem applicable today.
According to Neoclassical Growth Theory, regional policy is targeted enhancing investment (hereafter the notion ‘investment policy’ is used). has been the most important instrument in forcing the ‘reconstruction of the East’. Overall, the investment policy is seen as having been successful. It is not, however, the only factor influencing regional development – political policy makers noted in the mid 1990s that research and development (R&D) activities and regional concentrated production networks, amongst other factors, may also play a part. The investment policy instrument has therefore been adjusted. Nevertheless, it cannot be excluded that investment policy may fail in particular cases because it contains potentially conflicting targets. A ‘better road’ for future regional policy may lie in the support of regional production and innovation networks – the so-called industrial clusters. These clusters would need to be exactingly identified however to ensure effective and efficient cluster policies.
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Interactive Dynamic Capabilities and Regenerating the East German Innovation System
N. von Tunzelmann, Jutta Günther, Katja Wilde, Björn Jindra
Contributions to Political Economy,
2010
Abstract
The paper sets out a specification of capabilities and competencies derived from Sen’s work on consumer capabilities and welfare economics. This approach is one that proves remarkably easy to generalise, first to producer and supplier capabilities, and thence to interactive and dynamic capabilities. The approach is then applied via the consequential perspectives of regional systems of innovation and network alignment to the case of the efforts to regenerate the innovation system in East Germany since reunification. It is seen that this process can be divided into three periods, of which the most recent appears to meet some of the theoretical requirements for effective interactive capabilities. It is less clear that the criteria for dynamic capabilities—which involve considerations of speed-up and flexibility, to meet the market requirements in real time—have yet been taken sufficiently seriously.
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Market Concentration and Innovation in Transnational Corporations: Evidence from Foreign Affiliates in Central and Eastern Europe
Liviu Voinea, Johannes Stephan
Research on Knowledge, Innovation and Internationalization (Progress in International Business Research, Volume 4),
2009
Abstract
Purpose – The main research question of this contribution is whether local market concentration influences R&D and innovation activities of foreign affiliates of transnational companies.
Methodology/approach – We focus on transition economies and use discriminant function analysis to investigate differences in the innovation activity of foreign affiliates operating in concentrated markets, compared to firms operating in nonconcentrated markets. The database consists of the results of a questionnaire administered to a representative sample of foreign affiliates in a selection of five transition economies.
Findings – We find that foreign affiliates in more concentrated markets, when compared to foreign affiliates in less concentrated markets, export more to their own foreign investor's network, do more basic and applied research, use more of the existing technology already incorporated in the products of their own foreign investor's network, do less process innovation, and acquire less knowledge from abroad.
Research limitations/implications – The results may be specific to transition economies only.
Practical implications – The main implications of these results are that host country market concentration stimulates intranetwork knowledge diffusion (with a risk of transfer pricing), while more intense competition stimulates knowledge creation (at least as far as process innovation is concerned) and knowledge absorption from outside the affiliates' own network. Policy makers should focus their support policies on companies in more competitive sectors, as they are more likely to transfer new technologies.
Originality/value – It contributes to the literature on the relationship between market concentration and innovation, based on a unique survey database of foreign affiliates of transnational corporations operating in Eastern Europe.
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The Role of the Intellectual Property Rights Regime for Foreign Investors in Post-Socialist Economies
Benedikt Schnellbächer, Johannes Stephan
IWH Discussion Papers,
Nr. 4,
2009
Abstract
We integrate international business theory on foreign direct investment (FDI) with institutional theory on intellectual property rights (IPR) to explain characteristics and behaviour of foreign investment subsidiaries in Central East Europe, a region with an IPR regime-gap vis-à-vis West European countries. We start from the premise that FDI may play a crucial role for technological catch-up development in Central East Europe via technology and knowledge transfer. By use of a unique dataset generated at the IWH in collaboration with a European consortium in the framework of an EU-project, we assess the role played by the IPR regimes in a selection of CEE countries as a factor for corporate governance and control of foreign invested subsidiaries, for their own technological activity, their trade relationships, and networking partners for technological activity. As a specific novelty to the literature, we assess the in influence of the strength of IPR regimes on corporate control of subsidiaries and conclude that IPR-sensitive foreign investments tend to have lower functional autonomy, tend to cooperate more intensively within their transnational network and yet are still technologically more active than less IPR-sensitive subsidiaries. In terms of economic policy, this leads to the conclusion that the FDI will have a larger developmental impact if the IPR regime in the host economy is sufficiently strict.
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Hochschulen als regionaler Innovationsmotor? Innovationstransfer aus Hochschulen und seine Bedeutung für die regionale Entwicklung
Michael Fritsch, Viktor Slavtchev, N. Steigenberger
Arbeitspapier / Hans-Böckler-Stiftung, Nr. 158,
2008
Abstract
Innovation ist der wesentliche Motor wirtschaftlicher Entwicklung. Denn vor allem die Andersverwendung von Ressourcen, weniger deren Mehreinsatz führt zu Wachstum und Wohlstand. Aus diesem Grund stellt Innovation auch einen wichtigen Ansatzpunkt für eine auf Wachstum zielende Politik dar. Dies gilt sowohl auf gesamtwirtschaftlicher Ebene als auch für einzelne Branchen und Regionen.
In Innovationsprozessen stellt Wissen die entscheidende Ressource dar. Wissen ist mehr als bloße Information. Es umfasst insbesondere auch die Fähigkeit, Informationen zu interpretieren und anzuwenden bzw. ihre Anwendbarkeit einzuschätzen. Wissen ist an Menschen gebunden und lässt sich vielfach nur in direktem persönlichen Kontakt weitergeben. Aus diesem Grund hat Wissen eine regionale Dimension: Die Verfügbarkeit von Wissen hängt davon ab, wo sich die Menschen aufhalten, die über dieses Wissen verfügen. Dies ist ein wesentlicher Grund dafür, dass die Fähigkeit zur Innovation von Region zu Region wesentliche Unterschiede aufweisen kann.
Für eine Politik, die auf die Stärkung der Innovationsfähigkeit von Regionen gerichtet ist, kommt den öffentlichen Forschungseinrichtungen – Universitäten, Fachhochschulen und außeruniversitären Forschungsinstituten – aus mindestens zwei Gründen zentrale Bedeutung zu:
Erstens verfügen die öffentlichen Forschungseinrichtungen in besonderem Maße über innovationsrelevantes Wissen. Ihre Kernaufgabe ist es, Wissen zu produzieren, zu sammeln und weiterzugeben.
Zweitens ist der Bereich der öffentlichen Forschungseinrichtungen – im Gegensatz zur privaten Wirtschaft – von der Politik direkt gestaltbar.
Aus diesen Gründen stellt die Steuerung des Hochschulsektors ein zentrales Handlungsfeld der Innovationspolitik dar.
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