Global Value Chains During the Great Trade Collapse: A Bullwhip Effect?
Carlo Altomonte, Filippo di Mauro, Gianmarco Ottaviano, Armando Rungi, Vincent Vicard
ECB Working Paper,
No. 1412,
2012
Abstract
This paper analyzes the performance of global value chains during the trade collapse. To do so, it exploits a unique transaction-level dataset on French firms containing information on cross-border monthly transactions matched with data on worldwide intrafirm linkages as defined by property rights (multinational business groups, hierarchies of firms). This newly assembled dataset allows us to distinguish firm-level transactions among two alternative organizational modes of global value chains: internalization of activities (intragroup trade/trade among related parties) or establishment of supply contracts (arm's length trade/trade among unrelated parties). After an overall assessment of the role of global value chains during the trade collapse, we document that intra-group trade in intermediates was characterized by a faster drop followed by a faster recovery than arm's length trade. Amplified fluctuations in terms of trade elasticities by value chains have been referred to as the "bullwhip effect" and have been attributed to the adjustment of inventories within supply chains. In this paper we first confirm the existence of such an effect due to trade in intermediates, and we underline the role that different organizational modes can play in driving this adjustment.
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Assessing Competitiveness: How Firm-Level Data Can Help
Carlo Altomonte, Filippo di Mauro, Giorgio Barba Navaretti, Gianmarco Ottaviano
Bruegel Policy Contribution,
No. 16,
2011
Abstract
As policymakers refocus on growth, the ability to take a firm-level view is key to disentangling the various factors at the root of competitiveness, and thus to designing appropriate policies. Firm-level data provides critical information for the design of appropriate competitiveness measures that complement traditional macro analysis. More work remains to be done assembling firm-level information, but the variance of the distribution of firm characteristics already conveys important information in addition to standard averages. New indicators should be developed to translate the distribution of firm characteristics into indicators of competitiveness designed to capture not only average performance but also the heterogeneity of firm performance. This Policy Contribution builds on ongoing research within EFIGE (www.efige.org), a project to help identify the internal policies needed to improve the external competitiveness of the European Union.
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27.10.2011 • 44/2011
Clusterpolitiken in Bayern und Thüringen: Praxis eilt der Theorie voraus
In einer Vergleichsstudie hat das Institut für Wirtschaftsforschung Halle (IWH) anhand veröffentlichter Dokumente die Clusterpolitiken in den Ländern Bayern und Thüringen analysiert. Ziel dieser Politiken ist die Stärkung der Innovationskraft. Es fehlt jedoch eine explizite Begründung für die staatliche Unterstützung von Clustern im Sinne von Marktversagen, die darlegt, weshalb der Markt allein (aufgrund von externen Effekten, Informationsasymmetrien oder Koordinierungsmängeln) ein Zuwenig an Clusterbildung erzeugt. Offen bleibt daher, ob die praktizierte Clusterpolitik tatsächlich ursachenadäquat ist. In Thüringen wird Clusterpolitik mit der Kleinteiligkeit der Unternehmensstrukturen motiviert, was eher indirekt auf Informations- und Koordinierungsprobleme schließen lässt.
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A Systemic View on Knowledge-based Development Metrics
Mirko Titze, Michael Schwartz, Matthias Brachert
International Journal of Knowledge-Based Development,
No. 1,
2012
Abstract
Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.
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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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Stock Market Firm-Level Information and Real Economic Activity
Filippo di Mauro, Fabio Fornari, Dario Mannucci
ECB Working Paper,
No. 1366,
2011
Abstract
We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.
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ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers
Gaaitzen J. de Vries, Michael Koetter
Oxford Bulletin of Economics and Statistics,
No. 4,
2011
Abstract
The adoption of information and communication technology (ICT) can have far-reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.
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Competition, Risk-shifting, and Public Bail-out Policies
Reint E. Gropp, H. Hakenes, Isabel Schnabel
Review of Financial Studies,
No. 6,
2011
Abstract
This article empirically investigates the competitive effects of government bail-out policies. We construct a measure of bail-out perceptions by using rating information. From there, we construct the market shares of insured competitor banks for any given bank, and analyze the impact of this variable on banks' risk-taking behavior, using a large sample of banks from OECD countries. Our results suggest that government guarantees strongly increase the risk-taking of competitor banks. In contrast, there is no evidence that public guarantees increase the protected banks' risk-taking, except for banks that have outright public ownership. These results have important implications for the effects of the recent wave of bank bail-outs on banks' risk-taking behavior.
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Works Councils and Firm Profits Revisited
Steffen Müller
British Journal of Industrial Relations,
No. 1,
2011
Abstract
As they are employee associations, it is typically presumed that works councils redistribute economic rents from firm owners to workers. And indeed, the empirical literature suggests that German works councils reduce profits. The studies on the profitability effect of works councils mainly use self-reported subjective profit evaluations of managers as the dependent variable. I argue that these are poor measures of real profits. Newly available information on firms' capital stock allows me to revisit the profit effect now using an objective profit measure. When utilizing the subjective measure I find the standard results; with the objective measure, however, the works council effect on profits is positive and significant.
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Are Qualitative Inflation Expectations Useful to Predict Inflation?
Rolf Scheufele
Journal of Business Cycle Measurement and Analysis,
No. 1,
2011
Abstract
This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.
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