Size, Productivity, and International Banking
Claudia M. Buch, C. T. Koch, Michael Koetter
Journal of International Economics,
No. 2,
2011
Abstract
Heterogeneity in size and productivity is central to models that explain which manufacturing firms export. This study presents descriptive evidence on similar heterogeneity among international banks as financial services providers. A novel and detailed bank-level data set reveals the volume and mode of international activities for all German banks. Only a few, large banks have a commercial presence abroad, consistent with the size pecking order documented for manufacturing firms. However, the relationship between internationalization and productivity also yields two inconsistencies with recent trade models. First, virtually all banks hold at least some foreign assets, irrespective of size or productivity. Second, some fairly unproductive banks maintain commercial presences abroad.
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Size is not everything – The efficiency of municipal service provision in Saxony-Anhalt
Peter Haug, Annette Illy
Wirtschaft im Wandel,
No. 10,
2011
Abstract
Befürworter von Gemeindegebietsreformen – wie z.B. der erst kürzlich beendeten Reform in Sachsen-Anhalt – erwarten von Gemeindezusammenlegungen und zentralisierten Verwaltungsformen (Einheitsgemeinde statt Verwaltungsgemeinschaft) Kosteneinsparungen bzw. Effizienzsteigerungen bei der kommunalen Leistungserstellung. Der vorliegende Beitrag untersucht die möglichen Effizienznachteile kleinteiliger Gemeindestrukturen am Beispiel
Sachsen-Anhalts zum Zeitpunkt vor der entscheidenden Phase der Gemeindegebietsreform. Die empirischen Ergebnisse zeigen, dass dezentrale Verwaltungsformen keinen signifikanten Effizienznachteil gegenüber Einheitsgemeinden aufweisen müssen. Ferner deuten die Analysen zur Skaleneffizienz darauf hin, dass die Mehrheit der sachsen-anhaltischen Gemeinden – wenn die aggregierte Ebene der Verwaltungsgemeinschaften
betrachtet wird – eine weitgehend effiziente „Betriebsgröße“ hatte, wobei der Zusammenhang zwischen Einwohnerzahl und Skaleneffizienz u-förmig verläuft. Einerseits stützt die Untersuchung daher nicht den Erhalt von Kleinstgemeinden oder die Bildung von Verwaltungsgemeinschaften mit zweistelligen Mitgliedsgemeindezahlen. Andererseits liefern die Ergebnisse – selbst unter Berücksichtigung des sich abzeichnenden Bevölkerungsrückgangs – aber auch keinen Beleg für die Notwendigkeit der Reduzierung der Anzahl der Städte und Gemeinden in Sachsen-Anhalt von 1 118 im Jahr 2004 auf aktuell 219.
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Rules versus Discretion in Loan Rate Setting
Geraldo Cerqueiro, Hans Degryse, Steven Ongena
Journal of Financial Intermediation,
No. 4,
2011
Abstract
Loan rates for seemingly identical borrowers often exhibit substantial dispersion. This paper investigates the determinants of the dispersion in interest rates on loans granted by banks to small and medium sized enterprises. We associate this dispersion with the loan officers’ use of “discretion” in the loan rate setting process. We find that “discretion” is most important if: (i) loans are small and unsecured; (ii) firms are small and opaque; (iii) the firm operates in a large and highly concentrated banking market; and (iv) the firm is distantly located from the lender. Consistent with the proliferation of information-technologies in the banking industry, we find a decreasing role for “discretion” over time in the provision of small credits to opaque firms. While widely used in the pricing of loans, “discretion” plays only a minor role in the decisions to grant loans.
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The Impact of Government Procurement Composition on Private R&D Activities
Viktor Slavtchev, Simon Wiederhold
Abstract
This paper addresses the question of whether government procurement can work as a de facto innovation policy tool. We develop an endogenous growth model with quality-improving in-novation that incorporates industries with heterogeneous innovation sizes. Government demand in high-tech industries increases the market size in these industries and, with it, the incentives for private firms to invest in R&D. At the economy-wide level, the additional R&D induced in high-tech industries outweighs the R&D foregone in all remaining industries. The implications of the model are empirically tested using a unique data set that includes federal procurement in U.S. states. We find evidence that a shift in the composition of government purchases toward high-tech industries indeed stimulates privately funded company R&D.
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Bank-specific Shocks and the Real Economy
Claudia M. Buch, Katja Neugebauer
Journal of Banking and Finance,
No. 8,
2011
Abstract
Governments often justify interventions into the financial system in the form of bail outs or liquidity assistance with the systemic importance of large banks for the real economy. In this paper, we analyze whether idiosyncratic shocks to loan growth at large banks have effects on real GDP growth. We employ a measure of idiosyncratic shocks which follows Gabaix (forthcoming). He shows that idiosyncratic shocks to large firms have an impact on US GDP growth. In an application to the banking sector, we find evidence that changes in lending by large banks have a significant short-run impact on GDP growth. Episodes of negative loan growth rates and the Eastern European countries in our sample drive these results.
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University Cities: Including Universities and Research Institutes into Strategies for Urban Growth
Peter Franz
International Journal of Knowledge-Based Development,
2011
Abstract
The topic of this special issue refers to the observation that many larger and middle-sized cities dispose of a considerable potential of institutions creating and disseminating knowledge. This kind of endowment seems to be especially valuable in an upcoming knowledge-based economy. Recent strategic concepts and inter-city competitions referring to ‘knowledge-based urban development’, ‘knowledge city’, ‘creative city’, ‘science city’ or ‘entrepreneurial university’ indicate that urban planners and politicians are beginning to search for strategies to take advantage and to make use of this potential. The papers in this special issue a) present case studies of cities trying to activate their knowledge resources for local economic growth, b) deal with regulatory barriers and problems for cities applying ‘knowledge city’ strategies, c) analyze the university support for entrepreneurial activities, and d) discuss some implications of ‘knowledge city’ strategies for architecture and urban planning.
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The Revealed Competitiveness of U.S. Exports
Massimo Del Gatto, Filippo di Mauro, Joseph Gruber, Benjamin Mandel
Federal Reserve Discussion Paper,
No. 1026,
2011
Abstract
The U.S. share of world merchandise exports has declined sharply over the last decade. Using data at the level of detailed industries, this paper analyzes the decline in U.S. share against the backdrop of alternative measures of the competitiveness of the U.S. economy. We document the following facts: (i) only a few industries contributed to the decline in any meaningful way, (ii) a large part of the drop was driven by the changing size of U.S. export industries and not the size of U.S. sales within those industries, (iii) in a gravity framework, the majority of the decline in the U.S. export share within industries was due to the declining U.S. share of world income, and (iv) in a computed structural measure of firm productivity, average U.S. export productivity has generally maintained its high level versus other countries over time. Overall, our analysis suggests that the dismal performance of the U.S. market share is not a sufficient statistic for competitiveness.
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Mergers, Spinoffs, and Employee Incentives
Paolo Fulghieri, Merih Sevilir
Review of Financial Studies,
No. 7,
2011
Abstract
This article studies mergers between competing firms and shows that while such mergers reduce the level of product market competition, they may have an adverse effect on employee incentives to innovate. In industries where value creation depends on innovation and development of new products, mergers are likely to be inefficient even though they increase the market power of the post-merger firm. In such industries, a stand-alone structure where independent firms compete both in the product market and in the market for employee human capital leads to a greater profitability. Furthermore, our analysis shows that multidivisional firms can improve employee incentives and increase firm value by reducing firm size through a spinoff transaction, although doing so eliminates the economies of scale advantage of being a larger firm and the benefits of operating an internal capital market within the firm. Finally, our article suggests that established firms can benefit from creating their own competition in the product and labor markets by accommodating new firm entry, and the desire to do so is greater at the intermediate stages of industry/product development.
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Distance Functions for Matching in Small Samples
Eva Dettmann, Christian Schmeißer, Claudia Becker
Computational Statistics & Data Analysis,
No. 5,
2011
Abstract
The development of ‘standards’ for the application of matching algorithms in empirical evaluation studies is still an outstanding goal. The first step of the matching procedure is the choice of an appropriate distance function. In empirical evaluation situations often the sample sizes are small. Moreover, they consist of variables with different scale levels which have to be considered explicitly in the matching process. A simulation is performed which is directed towards these empirical challenges and supplements former studies in this respect. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametric scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better choice for summarising similarities in differently scaled variables compared to the commonly used measures.
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