Specialization, Diversity, Competition and their Impact on Local Economic Growth in Germany
Martin T. W. Rosenfeld, Annette Illy, Michael Schwartz, Christoph Hornych
Abstract
This study systematically examines the impact of fundamental elements of urban economic structure on urban growth in Germany from 2003 to 2007. We test four elements simultaneously, that is sectoral specialization, diversification of economic activities, urban size as well as the impact of local competition. To account for the effect of varying spatial delimitations in the analysis of urban growth, we further differentiate between cities and planning regions as geographical units. The analysis covers manufacturing industries as well as service sectors. Most previous work produces inconsistent results and concentrates on localization economies and/or diversification, while urban size and the effect of local competition are widely ignored. Our regression results show a U-shaped relationship between localization economies and urban growth and positive effects of local competition on urban growth. With respect to diversification, we find positive effects on urban growth on the city-level, but insignificant results on the level of the planning regions. The impact of urban size also differs between free cities and planning regions; in the former a U-shaped relationship is found whereas the effect is inversely U-shaped for the latter.
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Knowledge Spill-overs for Knowledge-based Development: Progression in Theory and Obstacles for Empirical Research
Peter Franz
International Journal of Knowledge-Based Development,
2010
Abstract
As scientists and policymakers tend to interpret changes in the economy as a trend towards an increasingly knowledge-based economy, their recommendations and strategies for regional economic development frequently contain elements how to intensify the knowledge flows in the region concerned. Knowledge flows come into existence from intentional action, but also in an unintended way as externalities or knowledge spillovers. This paper reviews the ways regional and urban economics has dealt with the concept of knowledge spillovers. Knowledge spillovers are defined within a conceptual framework that points out different uses of knowledge in economics. The concept’s operationalisations in diverse empirical studies are systematised and discussed. After a critical review of the current state of research, policy strategies aiming to intensify knowledge spillovers are classified. The paper concludes with an outlook on promising new approaches to research knowledge spillovers and on the elaboration of more efficient policy strategies.
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A New Metric for Banking Integration in Europe
Reint E. Gropp, A. K. Kashyap
Europe and the Euro,
2010
Abstract
Most observers have concluded that while money markets and government bond markets are rapidly integrating following the introduction of the common currency in the euro area, there is little evidence that a similar integration process is taking place for retail banking. Data on cross-border retail bank flows, cross-border bank mergers and the law of one price reveal no evidence of integration in retail banking. This paper shows that the previous tests of bank integration are weak in that they are not based on an equilibrium concept and are neither necessary nor sufficient statistics for bank integration. The paper proposes a new test of integration based on convergence in banks' profitability. The new test emphasises the role of an active market for corporate control and of competition in banking integration. European listed banks profitability appears to converge to a common level. There is weak evidence that competition eliminates high profits for these banks, and underperforming banks tend to show improved profitability. Unlisted European banks differ markedly. Their profits show no tendency to revert to a common target rate of profitability. Overall, the banking market in Europe appears far from being integrated. In contrast, in the U.S. both listed and unlisted commercial banks profits converge to the same target, and high profit banks see their profits driven down quickly.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
North American Journal of Economics and Finance,
2010
Abstract
This paper evaluates the New Keynesian Phillips curve (NKPC) and its hybrid variant within a limited information framework for Germany. The main interest resides in the average frequency of price re-optimization by firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method based on the Anderson–Rubin statistic. We find that the German Phillips curve is purely forward-looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every 2–3 quarters. These estimates seem plausible from an economic point of view. But the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity, where firms never re-optimize prices. This analysis also offers some explanation as to why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way in which orthogonality conditions are formulated. Further, model mis-specifications may be left undetected by conventional J tests. This analysis points out the need for identification robust methods to get reliable estimates for the NKPC.
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What Determines the Innovative Success of Subsidized Collaborative R&D Projects? – Project-Level Evidence from Germany –
Michael Schwartz, François Peglow, Michael Fritsch, Jutta Günther
IWH Discussion Papers,
No. 7,
2010
published in: Technovation
Abstract
Systemic innovation theory emphasizes that innovations are the result of an interdependent exchange process between different organizations. This is reflected in the current paradigm in European innovation policy, which aims at the support of collaborative R&D and innovation projects bringing together science and industry. Building on a large data set using project-level evidence on 406 subsidized R&D cooperation projects, the present paper provides detailed insights on the relationship between the innovative success of R&D cooperation projects and project characteristics. Patent applications and publications are used as measures for direct outcomes of R&D projects. We also differentiate between academic-industry projects and pure inter-firm projects. Main results of negative binomial regressions are that large-firm involvement is positively related to pa-tent applications, but not to publications. Conversely, university involvement has positive effects on project outcomes in terms of publications but not in terms of patent applications. In general, projects’ funding is an important predictor of innovative success of R&D cooperation projects. No significant results are found for spatial proximity among cooperation partners and for the engagement of an applied research institute. Results are discussed with respect to the design of R&D cooperation support schemes.
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A First Look on the New Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Abstract
In this paper we develop a small open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model – the Halle Economic Projection Model (HEPM) – is closely related to studies recently published by the International
Monetary Fund (global projection model). Our main contribution is that we model the Euro area countries separately. In this version we consider Germany and France, which represent together about 50 percent of Euro area GDP. The model allows for country specific heterogeneity in the sense that we capture different adjustment patterns to economic shocks. The model is estimated using Bayesian techniques. Out-of-sample and pseudo out-of-sample forecasts are presented.
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Cross-border Diversification in Bank Asset Portfolios
Claudia M. Buch, J.C. Driscoll, C. Ostergaard
International Finance,
forthcoming
Abstract
We compute optimally diversified international asset portfolios for banks located in France, Germany, Italy, the United Kingdom and the United States using the mean–variance portfolio model with currency hedging. We compare these benchmark portfolios with the actual cross-border asset positions of banks from 1995 to 2003 and ask whether the differences are best explained by regulations, institutions, cultural conditions or other financial frictions. Our results suggest that both culture and regulations affect the probability of a country's being overweighted in banks' portfolios: countries whose residents score higher on a survey measure of trust are more likely to be overweighted, while countries that have tighter capital controls are less likely to be overweighted. From a policy standpoint, the importance of culture suggests a limit to the degree of financial integration that may be achievable by the removal of formal economic barriers.
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Money and Inflation: The Role of Persistent Velocity Movements
Makram El-Shagi, Sebastian Giesen
Abstract
While the long run relation between money and inflation is well established, empirical evidence on the adjustment to the long run equilibrium is very heterogeneous. In the present paper we use a multivariate state space framework, that substantially expands the traditional vector error correction approach, to analyze the short run impact of money on prices. We contribute to the literature in three ways: First, we distinguish changes in velocity of money that are due to institutional developments and thus do not induce inflationary pressure, and changes that reflect transitory movements in money demand. This is achieved with a newly developed multivariate unobserved components decomposition. Second, we analyze whether the high volatility of the transmission from monetary pressure to inflation follows some structure, i.e., if the parameter regime can assumed to be constant. Finally, we use our model to illustrate the consequences of the monetary policy of the Fed that has been employed to mitigate the impact of the financial crisis, simulating different exit strategy scenarios.
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Is there a Superior Distance Function for Matching in Small Samples?
Eva Dettmann, Claudia Becker, Christian Schmeißer
Abstract
The study contributes to the development of ’standards’ for the application of matching algorithms in empirical evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function. Supplementary o most former studies, the simulation is strongly based on empirical evaluation ituations. This reality orientation induces the focus on small samples. Furthermore, ariables with different scale levels must be considered explicitly in the matching rocess. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, in the simulation, 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-parametrical 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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