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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Macroeconomic Challenges in the Euro Area and the Acceding Countries
Katja Drechsel
Dissertation, Online-Publikation,
2010
Abstract
The conduct of effective economic policy faces a multiplicity of macroeconomic challenges, which requires a wide scope of theoretical and empirical analyses. With a focus on the European Union, this doctoral dissertation consists of two parts which make empirical and methodological contributions to the literature on forecasting real economic activity and on the analysis of business cycles in a boom-bust framework in the light of the EMU enlargement. In the first part, we tackle the problem of publication lags and analyse the role of the information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A huge dataset of monthly indicators is used to estimate simple bridge equations. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We find that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. In the second part, we focus on the potential accession of the new EU Member States in Central and Eastern Europe to the euro area. In contrast to the discussion of Optimum Currency Areas, we follow a non-standard approach for the discussion on abandonment of national currencies the boom-bust theory. We analyse whether evidence for boom-bust cycles is given and draw conclusions whether these countries should join the EMU in the near future. Using a broad range of data sets and empirical methods we document credit market imperfections, comprising asymmetric financing opportunities across sectors, excess foreign currency liabilities and contract enforceability problems both at macro and micro level. Furthermore, we depart from the standard analysis of comovements of business cycles among countries and rather consider long-run and short-run comovements across sectors. While the results differ across countries, we find evidence for credit market imperfections in Central and Eastern Europe and different sectoral reactions to shocks. This gives favour for the assessment of the potential euro accession using this supplementary, non-standard approach.
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Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space
Muhamed Kudic, Peter Bönisch, Iciar Dominguez Lacasa
Abstract
Empirical and theoretical contributions provide strong evidence that firm-level performance outcomes in terms of innovativeness can either be determined by the firm’s position in the social space (network effects) or by the firm’s position in the geographical space (co-location effects). Even though we can observe quite recently first attempts in bringing together these traditionally distinct research streams (Whittington et al. 2009), research on interdependent network and geographical co-location effects is still rare. Consequently, we seek to answer the following research question: considering that the effects of social and geographic proximity on firm’s innovativeness can be interdependent, what are the distinct and combined effects of firm’s network and geographic position on firm-level innovation output? We analyze the innovative performance of German laser source manufacturers between 1995 and 2007. We use an official database on publicly funded R&D collaboration projects in order to construct yearly networks and analyze firm’s network positions. Based on information on population entries and exits we calculate various types of geographical proximity measures between private sector and public research organizations (PRO). We use patent grants as dependent variable in order to measure firm-level innovation output. Empirical results provide evidence for distinct effect of network degree centrality. Distinct effect of firm’s geographical co-location to laser-related public research organization promotes patenting activity. Results on combined network and co-location effects confirms partially the existence of in-terdependent proximity effects, even though a closer look at these effects reveals some ambiguous but quite interesting findings.
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Informal Social Networks and Spatial Mobility
Peter Bönisch, Lutz Schneider
Post-Communist Economies,
2010
Abstract
Individuals’ preferences in transition regions are still shaped by the former communist system. We test this ‘communist legacy’ hypothesis by examining the impact of acculturation in a communist regime on social network participation and, as a consequence, on preferences for spatial mobility. We focus on the paradigmatic case of Eastern Germany, where mobility intentions seem to be substantially weaker than in the Western part. Applying an IV ordered probit approach we first find that Eastern people acculturated in a communist system are more invested in locally bounded informal social capital than Western people. Second, we confirm that membership in such locally bounded social networks reduces the intention to move away. Third, after controlling for the social network effect the mobility gap between East and West is substantially reduced. Low spatial mobility of the Eastern population, we conclude, is to an important extent attributable to a social capital endowment characteristic of post-communist economies
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Informal Networking - An Overview of the Literature and an Agenda for Future Research
Michael Schwartz, Christoph Hornych
Abstract
Informal inter-organizational networks provide manifold opportunities to organize the transfer of information, knowledge and technology between actors. Given their potential and their importance, the lack of theoretical discussion and empirical research on informal networks and their dynamics is surprising. The objective of this paper is twofold. It attempts to review the fragmented academic discussion of the notion of informal networking, thereby focusing on how these relationships emerge initially and what conditions (presumably) are required to make them a mutually fruitful and sustainable channel of the transfer of information and knowledge. On that groundwork, the most important empirical studies which try to confirm and disentangle the aforementioned basic mechanisms of informal exchange relationships are reviewed. Finally, we outline an agenda of future research directions that we encourage researchers to pursue in future empirical studies. Five important research gaps can be identified.
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Currency Crisis Prediction Using ADR Market Data: An Options-based Approach
Stefan Eichler, Dominik Maltritz
International Journal of Forecasting,
No. 4,
2010
Abstract
During capital control episodes, large price deviations between American Depositary Receipts (ADR) and their underlying stocks signal that a currency crisis is about to occur. We interpret this price spread as the price of a call option. Using option pricing theory we derive detailed information about both the probability of a currency crisis and the expected magnitude of devaluation. Analyzing daily ADR market data preceding the Venezuelan crisis (1996), our approach predicts crisis probabilities of almost 100% and forecasts the exchange rate after floating quite accurately. During the Argentine crisis (2002), the estimated exchange rates are similar to the actual ones.
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Why are East Germans not More Mobile? Analyzing the Impact of Social Ties on Regional Migration
Peter Bönisch, Lutz Schneider
Abstract
Individuals’ preferences in transition regions are still shaped by the former communist system. We test this ‘Communism legacy’ hypothesis by examining the impact of acculturation in a communist regime on social network participation and, as a consequence, on preferences for spatial mobility. We focus on the paradigmatic case of East Germany where mobility intentions seem to be substantially weaker than in the western part. Applying an IV ordered probit approach we firstly find that East German people acculturated in a Communist system are more invested in locally bounded informal social capital than West Germans. Secondly, we confirm that membership in such locally bounded social networks reduces the intention to move away. Thirdly, after controlling for the social network effect the mobility gap between East and West substantially reduces. Low spatial mobility of the eastern population, we conclude, is to an important part attributable to a social capital endowment characteristic to post-communist economies.
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Institutional transition, social capital mix and local ties – Does Communist legacy explain low labour mobility?
Peter Bönisch, Lutz Schneider
Volkswirtschaftliche Diskussionsbeiträge, (66),
No. 66,
2010
Abstract
This paper empirically analyses the question why East Germans facing weak regional labour markets show rather limited spatial mobility. Using data from the German Socio-Economic Panel, our estimation of a simultaneous three equation ordered probit model shows that informal social capital reduces regional mobility while formal social capital supports it. Furthermore, we find that East Germans acculturated in a communist system are more invested in locally bounded informal social capital than in the mobility supporting formal social capital. Low spatial mobility of East Germans, we conclude, is to an important part attributable to a system specific social capital mix.
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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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