Post-transition Regions as Locations for Foreign Direct Investment of Multinational Enterprises
Andrea Gauselmann
Hochschulschrift, Juristische und Wirtschaftswissenschaftliche Fakultät der Martin-Luther-Universität Halle-Wittenberg,
2014
Abstract
Multinationale Unternehmen investieren im Ausland, um von standortspezifischen Vorteilen zu profitieren und ihre eigene Wettbewerbsfähigkeit zu verbesser. Gleichzeitig tragen sie zu einer Steigerung der Produktivität und einem wirtschaftlichen Aufholprozess am ausländischen Standort bei. Sie fungieren in diesem Sinne als Treiber für technologische und wirtschaftliche Entwicklung. Das Ziel der Dissertation ist es, einen Beitrag zur aktuellen Forschung zu leisten, indem untersucht wird, durch welche Determinanten ausländische Investoren bei der Standortwahl in den europäischen Post-Transformationsregionen beeinflusst werden, welche Motive sie bei ihrer Investition verfolgen, wie sie die Qualität der Standortfaktoren vor Ort beurteilen und unter welchen Bedingungen ein Austausch von Wissen und Technologie zwischen den ausländischen Tochterunternehmen und den Akteuren der einheimischen Wirtschaft stattfindet.
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Determinants of Knowledge Exchange Between Foreign and Domestic Enterprises in European Post-transition Economies
Andrea Gauselmann
Journal Economia e Politica Industriale (Journal of Industrial and Business Economics),
Nr. 4,
2014
Abstract
The aim of this paper is to contribute to the literature on internationalised research and development by investigating determinants of knowledge and technology transfer between foreign subsidiaries and the local economy in European post-transition economies. This inquiry leads to a better understanding of determinants that influence this knowledge and technology exchange. Applying a logit model, we find that, in particular, the foreign subsidiary’s corporate governance structure, its embeddedness in the multinational enterprise’s internal knowledge base, its own technological capacity, the growth of the regional knowledge stock and the regional sectoral diversification are all positively associated with the transfer of knowledge. Subsidiaries’ investment motives and the relative weight of the sector of investment in the region’s economy appear to be of less importance. The analysis focuses on European post-transition economies, using the example of five selected Central Eastern European countries and East Germany. We exploit a unique dataset, the IWH FDI Micro database, which contains information on one thousand two hundred forty-five foreign subsidiaries in this region.
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Outperforming IMF Forecasts by the Use of Leading Indicators
Katja Drechsel, Sebastian Giesen, Axel Lindner
IWH Discussion Papers,
Nr. 4,
2014
Abstract
This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time dataset for GDP and for the indicators we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts if the publication of the Outlook is only a few months old.
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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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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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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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Im Fokus: Geförderte FuE-Verbundprojekte: Sächsische Akteure wählen zunehmend Partner in räumlicher Nähe
Mirko Titze, Matthias Brachert, Wilfried Ehrenfeld
Wirtschaft im Wandel,
Nr. 3,
2013
Abstract
Externe Kooperationen bei innovativen Projekten sind mit einer Reihe von Vorteilen verbunden. Oft werden solche Projekte durch Kooperationen überhaupt erst möglich. Die Literatur stellt dabei insbesondere den Austausch von Wissen heraus. Für den Austausch einer ganz besonderen Form des Wissens, des so genannten nicht kodifizierten Wissens, ist oftmals räumliche Nähe erforderlich, da nicht kodifiziertes Wissen überwiegend durch persönliche Kontakte ausgetauscht wird. Der Bund und die Länder wenden eine ganze Reihe von Förderprogrammen an, die Anreize zur Aufnahme von innovativen Kooperationsprojekten bieten. Der vorliegende Beitrag analysiert die Kooperationsstrukturen innerhalb geförderter Verbundprojekte des Bundes in den Zeiträumen 1995 bis 2000 und 2005 bis 2010. Die Untersuchung richtet sich auf den Freistaat Sachsen. Es zeigt sich, dass die sächsischen Akteure im zweiten Zeitraum mehr Partner innerhalb Sachsens und der ostdeutschen Länder gewählt haben als in der ersten Periode. Dies spricht offenbar dafür, dass sächsische Partner attraktiver werden, und ermöglicht durch die räumliche Nähe den stärkeren Austausch von nicht kodifiziertem Wissen, welches wichtig für den Erfolg von Innovationsaktivitäten einer Region ist.
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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
Nr. 6,
2013
Abstract
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.
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