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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What Drives Innovation Output from Subsidized R&D Cooperation? — Project-level Evidence from Germany
Michael Schwartz, Michael Fritsch, Jutta Günther, François Peglow
Technovation,
No. 6,
2012
Abstract
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.
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The Impact of Government Procurement Composition on Private R&D Activities
Viktor Slavtchev, Simon Wiederhold
Abstract
This paper addresses the question of whether government procurement can work as a de facto innovation policy tool. We develop an endogenous growth model with quality-improving in-novation that incorporates industries with heterogeneous innovation sizes. Government demand in high-tech industries increases the market size in these industries and, with it, the incentives for private firms to invest in R&D. At the economy-wide level, the additional R&D induced in high-tech industries outweighs the R&D foregone in all remaining industries. The implications of the model are empirically tested using a unique data set that includes federal procurement in U.S. states. We find evidence that a shift in the composition of government purchases toward high-tech industries indeed stimulates privately funded company R&D.
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Cooperation propensity and public cooperation funding in the German Laser Industry
Muhamed Kudic, Katja Guhr, I. Bullmer, Jutta Günther
Wirtschaft im Wandel,
No. 3,
2011
Abstract
Die Hightech-Strategie der Bundesregierung definiert acht Schlüsseltechnologien, zu denen unter anderem die optischen Technologien und somit die Laserstrahlquellenhersteller zählen. Der Beitrag stützt sich auf aktuelle empirische Auswertungen und gibt einen ersten deskriptiven Überblick über den wissensintensiven Industriezweig der Laserstrahlquellenhersteller in Deutschland zwischen 1990 und 2010. Es zeigt sich, dass die Industrieentwicklung im Betrachtungszeitraum Schwankungen unterlag, in der Summe jedoch durch Expansion gekennzeichnet war. Zudem lässt sich eine hohe Präsenz vor allem von Großunternehmen der Laserstrahlquellenindustrie in Bayern, Baden-Württemberg und Thüringen feststellen. Diese regionalen Verteilungsmuster lassen sich im Hinblick auf die Partizipation an öffentlich geförderten Kooperationsprojekten wiederfinden, allerdings nur bei Betrachtung der absoluten Zahl von Verbundprojekten je Bundesland. In Relation zur Anzahl der Firmen im jeweiligen Bundesland wird die öffentliche Kooperationsförderung insbesondere in Thüringen, Rheinland-Pfalz und Hamburg stark nachgefragt. Somit ergibt sich für die räumliche Verteilung der Kooperationsintensität und Kooperationsförderung pro Firma ein differenziertes Muster.
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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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What Happened to the East German Housing Market? A Historical Perspective on the Role of Public Funding
Claus Michelsen, Dominik Weiß
Post-Communist Economies,
2010
Abstract
The paper analyses the development of the East German housing market after the reunification of the former German Democratic Republic and the Federal Republic of Germany in 1990. We analyse the dynamics of the East German housing market within the framework of the well-known stock-flow model, proposed by DiPasquale and Wheaton. We show that the today observable disequilibrium to a large extend is caused by post-unification housing policy and its strong fiscal incentives to invest into the housing stock. Moreover, in line with the stylized empirical facts, we show that ‘hidden reserves’ of the housing market were reactivated since the economy of East Germany became market organized. Since initial undersupply was overcome faster than politicians expected, the implemented fiscal stimuli were too strong. In contrast to the widespread opinion that outward migration caused the observable vacancies, this paper shows that not weakness of demand but supply side policies caused the observable disequilibrium.
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What Determines the Innovative Success of Subsidized Collaborative R&D Projects? – Project-Level Evidence from Germany –
Michael Schwartz, François Peglow, Michael Fritsch, Jutta Günther
IWH Discussion Papers,
No. 7,
2010
published in: Technovation
Abstract
Systemic innovation theory emphasizes that innovations are the result of an interdependent exchange process between different organizations. This is reflected in the current paradigm in European innovation policy, which aims at the support of collaborative R&D and innovation projects bringing together science and industry. Building on a large data set using project-level evidence on 406 subsidized R&D cooperation projects, the present paper provides detailed insights on the relationship between the innovative success of R&D cooperation projects and project characteristics. Patent applications and publications are used as measures for direct outcomes of R&D projects. We also differentiate between academic-industry projects and pure inter-firm projects. Main results of negative binomial regressions are that large-firm involvement is positively related to pa-tent applications, but not to publications. Conversely, university involvement has positive effects on project outcomes in terms of publications but not in terms of patent applications. In general, projects’ funding is an important predictor of innovative success of R&D cooperation projects. No significant results are found for spatial proximity among cooperation partners and for the engagement of an applied research institute. Results are discussed with respect to the design of R&D cooperation support schemes.
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What Happened to the East German Housing Market? – A Historical Perspective on the Role of Public Funding –
Claus Michelsen, Dominik Weiß
IWH Discussion Papers,
No. 20,
2009
Abstract
The paper analyses the development of the East German housing market after the reunification of the former German Democratic Republic and the Federal Republic of Germany in 1990. We analyse the dynamics of the East German housing market within the framework of the well-known stock-flow model, proposed by DiPasquale and Wheaton. We show that the today observable disequilibrium to a large extend is caused by post-unification housing policy and its strong fiscal incentives to invest into the housing stock. Moreover, in line with the stylized empirical facts, we show that ‘hidden reserves’ of the housing market were reactivated since the economy of East Germany became market organized. Since initial undersupply was overcome faster than politicians expected, the implemented fiscal stimuli were too strong. In contrast to the widespread opinion that outward migration caused the observable vacancies, this paper shows that not weakness of demand but supply side policies caused the observable disequilibrium.
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Spillover Effects of Spatial Growth Poles - a Reconciliation of Conflicting Policy Targets?
Alexander Kubis, Mirko Titze, Joachim Ragnitz
IWH Discussion Papers,
No. 8,
2007
Abstract
Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).
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