Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
Reinhold Kosfeld, Mirko Titze
International Regional Science Review,
No. 5,
2017
Abstract
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.
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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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Does Proximity Matter in the Choice of Partners in Collaborative R&D Projects? – An Empirical Analysis of Granted Projects in Germany
Mirko Titze, Philipp Marek, Ulrich Blum, Clemens Fuhrmeister
IWH Discussion Papers,
No. 12,
2014
Abstract
This paper contributes to the discussion on the importance of physical distance in the emergence of cross-region collaborative Research and Development (R&D) interactions. The proximity theory, and its extensions, is used as a theoretical framework. A spatial interaction model for count data was implemented for the empirical analysis of German data from the period from 2005 to 2010. The results show that all tested proximity measurements (geographical, cognitive, social and institutional proximity) have a significant positive influence on collaboration intensity. The proximity paradox, however, cannot be confirmed for geographical, social and institutional proximity, but for cognitive proximity.
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Parent Universities and the Location of Academic Startups
S. Heblich, Viktor Slavtchev
Small Business Economics,
No. 1,
2014
Abstract
Academic startups are thought to locate in their parent university’s home region because geographic proximity to a university facilitates access to academic knowledge and resources. In this paper we analyze the importance of a different channel, namely social ties between academic entrepreneurs and university researchers, for the access to academic knowledge and resources, and therefore for the location of the startups. We employ unique data on academic startups from regions with more than one university and find that only the parent university influences academic entrepreneurs’ decisions to stay in the region while other universities in the same region play no role. Our findings suggest that geographic proximity to a university may not per se guarantee access to knowledge and resources; social contacts are additionally required. The importance of social ties implies that academic knowledge and resources are not necessarily local public goods. This holds implications for universities’ role in stimulating regional development.
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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,
No. 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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Proximity and the Transfer of Academic Knowledge: Evidence from the Spatial Pattern of Industry Collaborations of East German Professors
Viktor Slavtchev
Regional Studies,
No. 5,
2013
Abstract
Proximity and the transfer of academic knowledge: evidence from the spatial pattern of industry collaborations of East German professors, Regional Studies. Universities can stimulate local economic development, particularly due to collaboration with local industry. Against this background, this study analyses when these interactions are local. Previous research suggests that university–industry linkages are mainly local because of tacit knowledge and the importance of physical proximity. This study provides additional evidence that the spatial pattern of university–industry linkages is a result of a complex matching process of appropriate partners. The results indicate that actors' individual and relational characteristics, institutional factors, and the particular type of knowledge play a role in collaboration. Hence, university–industry collaborations might not be local.
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Gemeindegröße, Verwaltungsform und Effizienz der kommunalen Leistungserstellung – Das Beispiel Sachsen-Anhalt
Peter Haug
External Publications,
2012
Abstract
Municipality Size, Institutions and Efficiency of Municipal Service Provision: The Case of Saxony-Anhalt In this contribution we analyze the determinants of the efficiency of municipal service provision using the example of the German state of Saxony-Anhalt. The focus lies on the effects of municipality size, institutional setting and spatial or demographic factors. We perform a non-parametric efficiency estimation (Data Envelopment Analysis and the Convex-order-m approach by Daraio and Simar). In contrast to previous studies, we choose the aggregate budget of municipal associations as the object of our analysis since important competences are settled at the joint administrative level. The results show that municipal associations do not necessarily have to be less efficient than independent municipalities. Furthermore, the results for scale efficiency indicate that most municipalities of Saxony-Anhalt had a sufficiently efficient “firm size” in 2004. Moreover, demographic factors and settlement structures have a significant effect on the technical efficiency of towns and municipalities: While a higher population density might be, to some extent, efficiency-enhancing, an increasing share of senior citizens or population growth might have the opposite effect. The integration of spatial interdependencies in efficiency estimations is a complex problem that has only been solved insufficiently yet. However, the estimation results for Moran’s I show mostly statistically significant but, nevertheless, only little or moderate relationships between the single inputs and outputs. Hence, there is no cause for concern about a substantial bias in the results if we neglect spatial interrelationships in our calculation. Furthermore, we found no evidence that the surrounding municipalities benefit from their proximity to core cities by increased efficiency.
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The Determinants of Inward Foreign Direct Investment in Business Services Across European Regions
Davide Castellani
Finanza e Statistica 104/2012,
2012
Abstract
The paper accounts for the determinants of inward foreign direct investment in business services across the EU-27 regions. Together with the traditional variables considered in the literature (market size, market quality, agglomeration economies, labour cost, technology, human capital), we focus on the role of forward linkages with manufacturing sectors and other service sectors as
attractors of business services FDI at the regional level. This hypothesis is based on the evidence that the growth of business services is mostly due to increasing intermediate demand by other services industries and by manufacturing industries and on the importance of geographical proximity for forward linkages in services.
To our knowledge, there are no studies investigating the role of forward linkages for the location of FDI. This paper aims therefore to fill this gap and add to the FDI literature by providing a picture of the specificities of the determinants of FDI in business services at the regional level. The empirical analysis draws upon the database fDi Markets, from which we selected projects having as a destination NUTS 2 European regions in the sectors of Business services over the period 2003-2008. Data on FDI have been matched with data drawn from the Eurostat Regio
database. Forward linkages have been constructed using the OECD Input/Output database. By estimating a negative binomial model, we find that regions specialised in those (manufacturing) sectors that are high potential users of business services attract more FDI than other regions. This confirms the role of forward linkages for the localisation of business service FDI, particularly in the case of manufacturing.
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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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Cluster Policies in the Federal States of Bavaria and Thuringia: Discrepancies between Practice and Theory
Gerhard Heimpold
Wirtschaft im Wandel,
No. 10,
2011
Abstract
The contribution analyzes cluster policies pursued in the Federal States of Bavaria and Thuringia. The investigation is based on the exploration of government documents. In both countries cluster policy is target at strengthening competitiveness. The documents explored do not reveal an economic justification for cluster policy in the sense of eliminating market failures, e. g. externalities, information asymmetries and coordination failures. Therefore, it is unclear whether the support schemes under consideration really tie in with factors that hamper cluster evolution. Policies in both states support state-wider clusters and networks. The state-wide focus, however, might undervalue advantages of spatial proximity. As another critical point the ex-ante selection of industries or technologies eligible under cluster policy can be regarded. Despite readiness of considering new technologies etc., public administration generally suffers from a lack of information about the future development perspectives of industries and technologies. A way to mitigate the limited capability of public administration in terms of forecasting might be favoring economic support based on competition for the best concepts/projects instead of focusing on certain industries. Several support schemes offered by the Federal government in Germany are already competition-based. In Thuringia cluster policy is strongly motivated by several structural shortcomings, e. g. by the fragmented firm landscape mainly consisting of small units. Therefore, beyond cluster policy, the necessity will remain to abolish directly the structural shortcomings mentioned, especially by providing an economic environment that enhances firm growth.
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