Interbank Lending and Distress: Observables, Unobservables, and Network Structure
Ben Craig, Michael Koetter, U. Krüger
Deutsche Bundesbank Discussion Paper, No. 18/2014,
No. 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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Micro-Based Evidence of EU Competitiveness: The CompNet Database
Filippo di Mauro, et al.
ECB Working Paper,
No. 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,
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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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
No. 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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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
No. 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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Regions as Selection Environments? The Emergence of the Solar Industry in Germany from 1992 to 2008
Matthias Brachert, Christoph Hornych, Peter Franz
European Planning Studies,
No. 11,
2013
Abstract
The spatial evolution of the German solar industry is analysed in the light of the “window of locational opportunity” and the “selection environment” approach. The paper argues that differences in the regions' ability to promote the emergence of local external economies contribute to increasing regional differentiation in the German structure of the industry. Applied empirical methods enclose longitudinal firm entry and network analysis. A special focus is given upon the realignment processes in the science system. Our findings show a relatively rapid spatial concentration of production in eastern Germany since the year 2000. This process is accompanied by intensified networking between firms and between firms and universities as well as research institutes. The responsiveness of regional institutions and the self-organizing capabilities of the solar firms substantiate some propositions of the “selection environment” approach.
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Determinants of Evolutionary Change Processes in Innovation Networks – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Andreas Pyka, Jutta Günther
Abstract
We seek to understand the relationship between network change determinants, network change processes at the micro level and structural consequences at the overall network level. Our conceptual framework considers three groups of determinants – organizational, relational and contextual. Selected factors within these groups are assumed to cause network change processes at the micro level – tie formations and tie terminations – and to shape the structural network configuration at the overall network level. We apply a unique longitudinal event history dataset based on the full population of 233 German laser source manufacturers and 570 publicly-funded cooperation projects to answer the following research question: What kind of exogenous or endogenous determinants affect a firm’s propensity and timing to cooperate and enter the network? Estimation results from a non-parametric event history model indicate that young micro firms enter the network later than small-sized and large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected yet quite interesting findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of contextual determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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Regionale Unterschiede der Kooperationsmuster der deutschen Photovoltaik-Industrie
Christoph Hornych
Wirtschaft im Wandel,
No. 12,
2011
Abstract
Der Beitrag analysiert das Kooperationsgeschehen in der deutschen Photovoltaik-Industrie. Ausgehend von den theoretischen Vorteilen, die Kooperationen in stadt- und regionalökonomischen Ansätzen zugeschrieben werden, wird geprüft, inwieweit die tatsächlich bestehenden Kooperationsmuster in den verschiedenen Bundesländern den aus theoretischer Sicht günstigen Kooperationsmustern entsprechen. Hierzu erfolgt eine vergleichende Beschreibung der Kooperationsstrukturen der Industrie in und zwischen den einzelnen Bundesländern. Die Untersuchung basiert auf der „IWH-Unternehmensdatenbank Photovoltaik“, die u. a. Informationen zu den Kooperationsbeziehungen zwischen den in der Datenbank enthaltenen Unternehmen und öffentlichen Forschungseinrichtungen enthält. Die Ergebnisse zeigen, dass sich die Kooperationsintensitäten in und zwischen den Bundesländern deutlich voneinander unterscheiden. Dabei sind insbesondere die mitteldeutschen Bundesländer Sachsen, Sachsen- Anhalt und Thüringen durch eine starke gegenseitige und deutschlandweite Vernetzung gekennzeichnet. Hingegen sind die Akteure in der Region Berlin-Brandenburg, die ähnlich wie Mitteldeutschland durch eine hohe
Konzentration an Photovoltaikunternehmen gekennzeichnet ist, deutlich weniger in Netzwerkstrukturen eingebunden.
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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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