R&D Cooperation for Non-technological Innovations
Gunnar Pippel
Economics of Innovation and New Technology,
Nr. 7,
2014
Abstract
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.
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Impact of Personal Economic Environment and Personality Factors on Individual Financial Decision Making
S. Prinz, G. Gründer, R. D. Hilgers, Oliver Holtemöller, I. Vernaleken
Frontiers in Decision Neuroscience,
Nr. 158,
2014
Abstract
This study on healthy young male students aimed to enlighten the associations between an individual’s financial decision making and surrogate makers for environmental factors covering long-term financial socialization, the current financial security/responsibility, and the personal affinity to financial affairs as represented by parental income, funding situation, and field of study. A group of 150 male young healthy students underwent two versions of the Holt and Laury (2002) lottery paradigm (matrix and random sequential version). Their financial decision was mainly driven by the factor “source of funding”: students with strict performance control (grants, scholarships) had much higher rates of relative risk aversion (RRA) than subjects with support from family (ΔRRA = 0.22; p = 0.018). Personality scores only modestly affected the outcome. In an ANOVA, however, also the intelligence quotient significantly and relevantly contributed to the explanation of variance; the effects of parental income and the personality factors “agreeableness” and “openness” showed moderate to modest – but significant – effects. These findings suggest that environmental factors more than personality factors affect risk aversion.
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Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach
T. Buchmann, D. Hain, Muhamed Kudic, M. Müller
IWH Discussion Papers,
Nr. 1,
2014
Abstract
Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.
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Können altindustrielle Städte zu “Hot Spots“ der Kreativwirtschaft werden? Das Beispiel der Medienwirtschaft in Halle
Martin T. W. Rosenfeld
F. Amey und J. Ringel (Hrsg.), Hotspots der Stadtentwicklung. Methoden, Praxis und Perspektiven der gemanagten Stadt,
2014
Abstract
In den letzten Jahren wird die Kreativwirtschaft zunehmend als wichtiger Motor für die Entwicklung von Städten angesehen. Gerade in der Medienwirtschaft wird eine Zukunftsbranche für solche Städte gesehen, in denen traditionelle Branchen an Bedeutung verloren haben. So setzt auch die Stadt Halle seit einiger Zeit auf die Entwicklung der Medienwirtschaft. Es wird gezeigt, dass sich die Medienwirtschaft in der Stadt Halle in verschiedenen Teilbereichen gut entwickelt hat – obgleich die vorhandenen Standortfaktoren eigentlich nur bedingt für eine Ansiedlung von Medienfirmen in Halle sprechen und deshalb die Potentiale für die weitere Entwicklung begrenzt sein dürften.
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MNEs and Regional R&D Co-operation: Evidence from Post-Transition Economies
Andrea Gauselmann
Grincoh Working Papers,
2013
Abstract
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.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents (1996-2009)
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Abstract
This paper analyses the determinants of spatial distribution of foreign technological activity across 96 German regions (1996-2009). We identify foreign inventive activity by applying the ‘cross-border-ownership concept’ to transnational patent applications. The descriptive analysis shows that foreign technological activity more than doubled during the observation period with persistent spatial heterogeneity in Germany. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Our results show that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to existing findings this effect applies both to foreign as well as domestic sources of specialisation. We show that the relation between specialisation and foreign technological activity is non-linear and that it is influenced by sectoral heterogeneity. Externalities related to technological diversification attract foreign R&D only into ‘higher order’ regions.
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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
Nr. 9,
2013
Abstract
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.
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R&D Offshoring and the Productivity Growth of European Regions
Davide Castellani, F. Pieri
CIRCLE Working Papers, No. 20,
Nr. 20,
2013
Abstract
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.
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Related Variety, Unrelated Variety and Regional Functions: A spatial panel approach
Matthias Brachert, Alexander Kubis, Mirko Titze
Papers in Evolutionary Economic Geography,
2013
Abstract
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.
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