11.08.2016 • 34/2016
2016 stress tests: Italian banks don’t look worse than German large commercial banks
The European Banking Authority today presented the results of the 2016 stress tests. They show that most European banks appear more or less stable. “What worries me is, however, that the Italian banks do not look worse than the large German commercial banks,” says Reint E. Gropp, president of the Halle Institute for Economic Research (IWH). “It appears that both Deutsche Bank and Commerzbank would benefit significantly from an increase in equity. The stress test was also missing two crucial points: One, the effect of a long lasting low interest rate environment on banks was not simulated. And second, the test did not take into consideration that many small institutions could fail at the same time. This is not an unlikely scenario, given how small banks in particular struggle with shrinking interest margins,“ says Gropp. Finally, the stress test should not distract from the urgency to solve the problems in the Italian banking system.
Reint E. Gropp
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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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