Network Positioning, Co-Location or Both?
Muhamed Kudic
Innovation Networks in the German Laser Industry. Springer Cham,
2015
Abstract
Previous research indicates that firm innovativeness can either be determined by a firm’s position within the network dimension or by its position within the geographical dimension. Integrative studies addressing both distinct and combined proximity effects remains rare (cf. Whittington et al. 2009). Thus, we address in this Chapter the following research question: Are firm-level innovation outcomes positively or negatively related to network positioning effects, geographical co-location effects or combined proximity effects; and if the latter case is true, are the combined effects substitutional or complementary in nature? Panel data count models with fixed and random effects were used to analyze a firm’s innovative performance as measured by patent application counts. This last empirical analysis is organized as follows: We start with a short introduction in Sect. 12.1. Next, we provide a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we discuss our findings and conclude with a number of critical remarks in Sect. 12.6.
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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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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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FDI and the National Innovation System - Evidence from Central and Eastern Europe
Jutta Günther, Björn Jindra, Johannes Stephan
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
The paper investigates strategic motives, technological activities and determinants of foreign investment enterprises’ embeddedness in post-transition economies (Eastern Germany and selected Central East European countries). The empirical study makes use of the IWH FDI micro database. Results of the descriptive analysis of investment motives show that market access dominates over efficiency seeking and other motives. The majority of investors are technologically active in the region as a whole, but countries differ in terms of performance. The probit model estimations show that firm specific characteristics, among them innovativeness and autonomy from parent company, are important determinants of foreign investment enterprises’ embeddedness.
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Eastern Germany in the process of catching-up: the role of foreign and Western German investors in technological renewal
Jutta Günther, Oliver Gebhardt
Eastern European Economics,
Nr. 3,
2005
Abstract
Foreign direct investment as a means to support system transformation and the ongoing process of catching-up development has caught researcher’s attention for a number of Central and Eastern European countries. Not much research, however, has been carried out for East Germany in this respect although FDI plays an important role in East Germany too. Descriptive analysis by the use of unique survey data shows that foreign and West German affiliates perform much better with respect to technological capability and labor productivity than domestic companies in East Germany. The results of the regression analysis, however, show that it is not the status of ownership as such that forms a significant determinant of innovativeness in East Germany but rather general firms specific characteristics attached to it such as firm size, export-intensity, technical state of the equipment, and R&D activities. Due to the fact that foreign and West German affiliates perform better with respect to exactly all of these characteristics, they can be considered as a means to support the process of technological renewal and economic development.
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