The Structure and Evolution of Intersectoral Technological Complementarity in R&D in Germany from 1990 to 2011
Matthias Brachert, T. Broekel
Abstract
Technological complementarity is argued to be a crucial element for effective Research and Development (R&D) collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis.
The results illustrate sectors being complements both from a dyadic and portfolio/ network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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Interbank Lending and Distress: Observables, Unobservables, and Network Structure
Ben Craig, Michael Koetter, U. Krüger
Deutsche Bundesbank Discussion Paper, No. 18/2014,
Nr. 18,
2014
Abstract
We provide empirical evidence on the relevance of systemic risk through the interbank lending channel. We adapt a spatial probit model that allows for correlated error terms in the cross-sectional variation that depend on the measured network connections of the banks. The latter are in our application observed interbank exposures among German bank holding companies during 2001 and 2006. The results clearly indicate significant spillover effects between banks’ probabilities of distress and the financial profiles of connected peers. Better capitalized and managed connections reduce the banks own risk. Higher network centrality reduces the probability of distress, supporting the notion that more complete networks tend to be more stable. Finally, spatial autocorrelation is significant and negative. This last result may indicate too-many-to-fail mechanics such that bank distress is less likely if many peers already experienced distress.
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4. IWH/INFER-Workshop on Applied Economics and Economic Policy: “A New Fiscal Capacity for the EU?“
Birgit Schultz, Gregor von Schweinitz
Wirtschaft im Wandel,
Nr. 2,
2014
Abstract
Am 17. und 18. März 2014 fand am IWH in Zusammenarbeit mit dem International Network for Economic Research (INFER) der 4. Workshop „Applied Economics and Economic Policy“ statt. Im Rahmen des Workshops stellten Wissenschaftler europäischer Universitäten und internationaler Organisationen ihre neuesten Forschungsergebnisse zu aktuellen ökonomischen Fragen und Problemen vor. Dabei war es nicht nur Ziel der Veranstaltung, aktuelle Forschungsergebnisse vorzustellen, sondern auch mit Vertretern aus Wissenschaft und Praxis über die aktuelle Wirtschaftspolitik und das Spezialthema „A New Fiscal Capacity for the EU?“ zu diskutieren.
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Micro-Based Evidence of EU Competitiveness: The CompNet Database
Filippo di Mauro, et al.
ECB Working Paper,
Nr. 1634,
2014
Abstract
Drawing from confidential firm-level balance sheets in 11 European countries, the paper presents a novel sectoral database of comparable productivity indicators built by members of the Competitiveness Research Network (CompNet) using a newly developed research infrastructure. Beyond aggregate information available from industry statistics of Eurostat or EU KLEMS, the paper provides information on the distribution of firms across several dimensions related to competitiveness, e.g. productivity and size. The database comprises so far 11 countries, with information for 58 sectors over the period 1995-2011. The paper documents the development of the new research infrastructure, describes the database, and shows some preliminary results. Among them, it shows that there is large heterogeneity in terms of firm productivity or size within narrowly defined industries in all countries. Productivity, and above all, size distribution are very skewed across countries, with a thick left-tail of low productive firms. Moreover, firms at both ends of the distribution show very different dynamics in terms of productivity and unit labour costs. Within-sector heterogeneity and productivity dispersion are positively correlated to aggregate productivity given the possibility of reallocating resources from less to more productive firms. To this extent, we show how allocative efficiency varies across countries, and more interestingly, over different periods of time. Finally, we apply the new database to illustrate the importance of productivity dispersion to explain aggregate trade results.
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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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Social Capital and Migration Preferences - An Empirical Analysis for the Case of the Reunified Germany
Peter Bönisch, Lutz Schneider, Walter Hyll
Grincoh Working Papers July 2013,
2013
Abstract
We focus on the relevance of different types of social capital on migration intentions in the context of shrinking regions. On the one hand, formal social capital characterised by weak ties without local roots is supposed to drive selectivity and outmigration. On the other hand, informal social capital stressing strong ties to friends, relatives or neighbours might hinder migration. In our regression results we do not find an effect of shrinking regions on mobility intentions. Thus, living in a shrinking area is by itself not a reason to move away or to invest less in social capital. However, if an individual considers to move away she reduces her participation in informal and formal networks. Individuals characterised by strong informal ties, i.e. strong relationships to friends, relatives or neighbours show a significantly lower probability of moving away. And, more qualified types of social capital as participation in local politics or initiatives seem to encourage spatial mobility.
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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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3. IWH/INFER-Workshop on Applied Economics and Economic Policy „State of the Euro – State of the Union“ – ein Konferenzbericht
Katja Drechsel, Makram El-Shagi
Wirtschaft im Wandel,
Nr. 3,
2013
Abstract
Am 22. und 23. April 2013 fand am IWH in Zusammenarbeit mit dem International Network for Economic Research (INFER) der 3. Workshop „Applied Economics and Economic Policy“ statt. Im Rahmen des Workshops stellten Wissenschaftlereuropäischer Universiäten und internationaler Organisationen ihre neuesten Forschungsergebnisse zu aktuellen ökonomischen Fragen und Problemen im Umfeld der europäischen Finanz- und Verschuldungskrise vor. Das Ziel der Veranstaltung bestand jedoch nicht nur darin, aktuelle Forschungsergebnisse zu präsentieren, sondern auch darin, mit Vertretern aus Wissenschaft und Praxis über die aktuelle Wirtschaftspolitik und über das Spezialthema „State of the Euro – State of the Union“ zu diskutieren.
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Competitiveness Research Network – First Year Results
Filippo di Mauro
CompNet Report,
June
2013
Abstract
This interim report summarises the main findings of the Competitiveness Research Network (CompNet) after one year of existence. The Network is organized in three workstreams related to: (i) aggregate measures of competitiveness; (ii) firm-level studies; and (iii) global value chains (GVCs). The main objectives of the Network are to improve the existing frameworks and indicators of competitiveness across all dimensions (macro, micro and cross-border) and establish a more solid connection between identified competitiveness drivers and resulting outcomes (trade, aggregate productivity, employment, growth and essentially welfare), in order to support the design of adequate policies.
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