Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany
Matthias Brachert, Mirko Titze, Alexander Kubis
Papers in Regional Science,
No. 2,
2011
Abstract
If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.
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Gauging the Potential for Social Unrest
Walter Hyll, Oded Stark, Doris A. Behrens
Public Choice,
2010
Abstract
It stands to reason that social unrest does not erupt out of the blue. Although there are a great many reasons why social dismay might descend into social disorder, only few yardsticks or indices can plausibly be used to gauge the potential for social unrest (PSU). If policy makers want to undertake public action to prevent social dismay escalating into social disruption, they obviously need to draw on practical sensors. This paper assesses critically the adequacy of two such measures, the polarization (P) index, and the total relative deprivation (TRD) index. The paper proposes a tentative guide to selecting between these two measures. A review of three stylized scenarios suggests that, where income redistributions reduce the number of distinct income groups, and when each group is characterized by a strong sense of within-group identity, the P index surpasses the TRD index as a basis for predicting PSU. When the within-group identification is weak, however, it is better to use the TRD index to predict PSU.
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The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification
Mirko Titze, Matthias Brachert, Alexander Kubis
Abstract
We use a combination of measures of spatial concentration, qualitative input-output analysis and innovation interaction matrices to identify the horizontal and vertical dimension of industrial clusters in Saxony in 2005. We describe the spatial allocation of the industrial clusters and show possibilities of vertical interaction of clusters based on intermediate goods flows. With the help of region and sector-specific knowledge interaction matrices we are able to show that a sole focus on intermediate goods flows limits the identification of innovative actors in industrial clusters, as knowledge flows and intermediate goods flows do not show any major overlaps.
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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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Cartel Identification in Spatial Markets: An Analysis of the East German Cement Market
Ulrich Blum
Jahrbuch für Regionalwissenschaft,
2009
Abstract
Im Jahr 2003 wurde die deutsche Zementindustrie wegen vorgeblicher Preis- und Quotenabsprachen mit einer Buße von über 600 Mio. Euro belegt. Im abschließenden gerichtlichen Verfahren des Jahres 2009 wurde die Buße erheblich reduziert, weil das Bundeskartellamt nicht in der Lage war, die Mehrerlöse in der vorgegebenen Höhe nachzuweisen. Dieser Beitrag zeigt anhand des ostdeutschen Zementkartells, das auf Quotenabsprachen aus den neunziger Jahren beruhte und das im Frühjahr 2002 endete, dass dieses ökonomisch nicht wirksam war. Aus Sicht der Beteiligten waren offensichtlich die Kenntnisse der wahren Marktkräfte unbekannt, weshalb das Kartell beibehalten wurde. Auf Grundlage eines räumlichen Ansatzes für die Jahre 1997 bis 2002 wird das regionale Preissetzungsverhalten untersucht. Die ökonometrische Analyse zeigt, dass der Wettbewerb in den Kartelljahren bereits vergleichsweise intensiv war, da Transportkosten und Rabattsysteme verwendet wurden, um Angebote der Marktlage anzupassen. Strategische Importe aus dem Osten ebenso wie Angebote mittelständischer Mahlwerke setzten den Markt unter Druck.
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The Identification of Technology Regimes in Banking: Implications for the Market Power-Fragility Nexus
Michael Koetter, Tigran Poghosyan
Journal of Banking and Finance,
No. 8,
2009
Abstract
Neglecting the existence of different technologies in banking can contaminate efficiency, market power, and other performance measures. By simultaneously estimating (i) technology regimes conditional on exogenous factors, (ii) efficiency conditional on risk management, and (iii) Lerner indices of German banks, we identify three distinct technology regimes: Public & Retail, Small & Specialized, and Universal & Relationship. System estimation at the regional level reveals that greater bank market power increases bank profitability but also fosters corporate defaults. Corporate defaults, in turn, lead to higher probabilities of bank distress, which supports the market power-fragility hypothesis.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis
Mirko Titze, Matthias Brachert, Alexander Kubis
IWH Discussion Papers,
No. 13,
2008
Abstract
The ‘cluster theory’ has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most studies focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations within a value-adding chain is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of Minimal Flow Analysis by Schnabl (1994). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German NUTS-3 regions.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
IWH Discussion Papers,
No. 10,
2008
Abstract
This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid
variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of 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 that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, 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 explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out
the need for identification robust methods to get reliable estimates for the NKPC.
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Getting out of the Ivory Tower - New Perspectives on the Entrepreneurial University
Jutta Günther, Kerstin Wagner
Discussion Papers on Entrepreneurship and Innovation,
No. 2,
2007
Abstract
Based on theoretical considerations about the “third mission” of universities and the discussion of the nature of different university-industry relations, we conclude that the entrepreneurial university is a manifold institution with direct ways to transfer technology from academia to industry as well as indirect connections to industry via entrepreneurship education and training. While existing literature usually deals with one or another linking mechanism separately, our central hypothesises is that direct and indirect mechanisms should be interrelated and mutually complementary. We emphasize the importance of a more holistic view and empirically investigate the scope and interrelatedness of entrepreneurship education and direct technology transfer mechanisms at German universities. We find a variety of activities in both fields and evidence for an identification of HEI with the mission of knowledge commercialisation. Furthermore, it shows that the HEIs’ technology transfer facilities and the entrepreneurship education providers co-operate in support of the creation of spin-offs and innovative start-ups.
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Spillover Effects of Spatial Growth Poles - a Reconciliation of Conflicting Policy Targets?
Alexander Kubis, Mirko Titze, Joachim Ragnitz
IWH Discussion Papers,
No. 8,
2007
Abstract
Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).
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