26.11.2015 • 43/2015
Political lendings of German Savings Banks
A recent paper of the Halle Institute for Economic Research (IWH) suggests that German local politicians take advantage of their influence on the credit decisions of German savings banks. “German savings banks on average increase the supply of commercial loans by €7.6 million in the year of a local election”, says IWH president Reint E. Gropp. Loans that the savings banks generate during election years also perform worse and lead to lower interest income. The results suggest that local politicians take advantage of savings banks to further their chances of re-election.
Reint E. Gropp
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R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
Gunnar Pippel, V. Seefeld
Economics of Innovation and New Technology,
No. 5,
2016
Abstract
Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
No. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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Stress Testing and Bank Efficiency: Evidence from Europe
Iftekhar Hasan, Fotios Pasiouras
International Journal of Corporate Finance and Accounting,
No. 2,
2015
Abstract
This study examines whether and how the stress testing of European banks in 2010, 2011, and 2014 is related to their technical, allocative, and cost efficiency. Using a sample of large commercial banks operating in 20 European countries, and Data Envelopment Analysis (DEA), the authors perform comparisons between banks that were included in one of the three European stress tests and untested banks operating in the same countries. They estimate various specifications as for the inputs and outputs, cross-section and pooled estimations, and they also examine alternative samples as for the ownership of banks. In general, the authors conclude that banks included in the stress-test exercises are more efficient that their counterparties. The differences tend to be statistically significant in the case of allocative efficiency and cost efficiency, but not in the case of technical efficiency. With regards to the latter form of efficiency, the results depend upon the specification and the stress test in question.
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Public Bank Guarantees and Allocative Efficiency
Reint E. Gropp, Andre Guettler, Vahid Saadi
Abstract
In the wake of the recent financial crisis, many governments extended public guarantees to banks. We take advantage of a natural experiment, in which long-standing public guarantees were removed for a set of German banks following a lawsuit, to identify the real effects of these guarantees on the allocation of credit (“allocative efficiency”). Using matched bank/firm data, we find that public guarantees reduce allocative efficiency. With guarantees in place, poorly performing firms invest more and maintain higher rates of sales growth. Moreover, firms produce less efficiently in the presence of public guarantees. Consistently, we show that guarantees reduce the likelihood that firms exit the market. These findings suggest that public guarantees hinder restructuring activities and prevent resources to flow to the most productive uses.
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The ex-post threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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R&D Collaboration for Environmental Innovation
Gunnar Pippel
International Journal of Innovation Management,
No. 1,
2015
Abstract
FuE-Kooperationen spielen eine bedeutende Rolle bei der Schaffung von Umweltinnovationen. Allerdings zeigt uns die Literatur, dass FuE-Kooperationen nicht immer vorteilhaft sind. Daher ist eine differenziertere Betrachtungsweise des Einflusses von FuE-Kooperationen auf die Fähigkeit von Unternehmen, Umweltinnovationen hervorzubringen, notwendig. Das Papier untersucht diesen Zusammenhang und differenziert dabei nach verschiedenen Typen von Kooperationspartnern wie Kunden, Lieferanten, Universitäten, staatlichen Forschungseinrichtungen, Konkurrenten, Beratern und anderen Firmen innerhalb der gleichen Firmengruppe. Zudem wird der Frage nachgegangen, ob Diversität von Kooperationspartnern einen Einfluss auf die Umweltinnovationsfähigkeit von Unternehmen hat. Dabei werden Daten von 2337 deutschen Unternehmen für eine Regressionsanalyse verwendet. Deutlich wird, dass FuE-Kooperationen mit Kunden, Lieferanten, Universitäten, staatlichen Forschungseinrichtungen, Beratern und anderen Firmen innerhalb der gleichen Firmengruppe einen signifikant positiven Einfluss auf die Umweltinnovationsfähigkeit haben. FuE-Kooperationen mit Konkurrenten haben keinen signifikanten Einfluss. Die Diversität von FuE-Kooperationspartnern hat ebenfalls einen signifikant positiven Einfluss auf die Umweltinnovationsfähigkeit.
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Corporate Taxation and Firm Location in Germany
Götz Zeddies
IWH Discussion Papers,
No. 2,
2015
Abstract
German Fiscal Federalism is characterized by a high degree of fiscal equalization which lowers the efficiency of local tax administration. Currently, a reform of the fiscal equalization scheme is on the political agenda. One option is to grant federal states the right to raise surtaxes on statutory tax rates set by the central government in order to reduce the equalization rate. In such an environment, especially those federal states with lower economic performance would have to raise comparatively high surtaxes. With capital mobility, this could further lower economic performance and thus tax revenues. Although statutory tax rates are so far identical across German federal states, corporate tax burden differs for several reasons. This paper tries to identify the impact of such differences on firm location. As can be shown, effective corporate taxation did seemingly not have a significant impact on firm location across German federal states.
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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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