Sharing Competences: The Impact of Local Institutional Settings on Voter Turnout
Claus Michelsen, Peter Bönisch, Martin T. W. Rosenfeld
Abstract
Institutions are common predictors of voter turnout. Most research in this field focuses on cross-country comparisons of voting systems, like the impact of compulsory voting or registration systems. Fewer efforts have been devoted to understand the role of local institutions and their impact on political participation. Especially the impact of divided competences in relation to public good provision and its impact on voter turnout has been widely ignored. In the present paper, we analyze the effects of different institutional settings for inter-municipal cooperation on voter turnout. We use data from local elections in Germany, held in 2003 and 2004. Overall, we analyze aggregate voter turnout of 1661 municipalities and find strong evidence for our hypothesis that local institutional settings are influential in this context. Further, our results indicate that the better competences correspond to the spatial dimension of local public goods, the higher should be the voter turnout.
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Selectivity, Social Ties and Spatial Mobility – An Analysis of Preferences for Return Migration
Lutz Schneider, Alexander Kubis, D. Wiest
Abstract
Die Abwanderung überwiegend junger, gebildeter Menschen aus Ostdeutschland wird häufig als nachteilig für die Entwicklungsfähigkeit und den Aufholprozess der Neuen Länder betrachtet. Das Phänomen der Zuwanderung – und dabei nicht zuletzt der Rückwanderung vormals Abgewanderter – findet in diesem Zusammenhang besonderes Interesse. Die vorliegende Arbeit analysiert die Rückwanderungsneigung auf Basis eines im Rahmen des DFG-Forschungsprojektes „Brain drain aus Ostdeutschland“ am Lehrstuhl für Sozialgeographie der Martin-Luther-Universität Halle-Wittenberg erhobenen Datensatzes zu den Einstellungen und Motivlagen aus Sachsen-Anhalt abgewanderter junger Menschen. Dabei wird auf folgende Aspekte besonderer Wert gelegt: die Wirkung des Arbeitsmarkterfolges nach der Abwanderung; der Einfluss sozialer Bindungen in der Herkunfts- und der Zielregion; schließlich die Selektivität der Rückwanderungsneigung. Im Ergebnis zeigt sich erstens, dass der individuelle Arbeitsmarkterfolg in der Zielregion die Rückkehrneigung verringert. Zweitens konnte die rückwanderungsfördernde Wirkung bestehender sozialer Bindungen zum Herkunftsgebiet nachgewiesen werden. Hinsichtlich der Selektivität der Rückwanderungsintentionen sind die Ergebnisse ambivalent.
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Social Capital and Migration Preferences - An Empirical Analysis for the Case of the Reunified Germany
Peter Bönisch, Lutz Schneider, Walter Hyll
Grincoh Working Papers July 2013,
2013
Abstract
We focus on the relevance of different types of social capital on migration intentions in the context of shrinking regions. On the one hand, formal social capital characterised by weak ties without local roots is supposed to drive selectivity and outmigration. On the other hand, informal social capital stressing strong ties to friends, relatives or neighbours might hinder migration. In our regression results we do not find an effect of shrinking regions on mobility intentions. Thus, living in a shrinking area is by itself not a reason to move away or to invest less in social capital. However, if an individual considers to move away she reduces her participation in informal and formal networks. Individuals characterised by strong informal ties, i.e. strong relationships to friends, relatives or neighbours show a significantly lower probability of moving away. And, more qualified types of social capital as participation in local politics or initiatives seem to encourage spatial mobility.
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The Social Capital Legacy of Communism-results from the Berlin Wall Experiment
Peter Bönisch, Lutz Schneider
European Journal of Political Economy,
No. 32,
2013
Abstract
In this paper we establish a direct link between the communist history, the resulting structure of social capital, and attitudes toward spatial mobility. We argue that the communist regime induced a specific social capital mix that discouraged geographic mobility even after its demise. Theoretically, we integrate two branches of the social capital literature into one more comprehensive framework distinguishing an open type and a closed type of social capital. Using the German Socio-Economic Panel (GSOEP) we take advantage of the natural experiment that separated Germany into two parts after the WWII to identify the causal effect of social capital on mobility. We estimate a three equation ordered probit model and provide strong empirical evidence for our theoretical propositions.
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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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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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The Emergence of Wage Coordination in the Central Western European Metal Sector and its Relationship to European Economic Policy
Vera Glassner, Toralf Pusch
Abstract
In the European Monetary Union the transnational coordination of collective wage bargaining has acquired increased importance on the trade union agenda. The metal sector has been at the forefront of these developments. This paper addresses the issue of crossborder coordination of wage setting in the metal sector in the central western European region, that is, in Germany, the Netherlands and Belgium, where coordination practices have become firmly established in comparison to other sectors. When testing the interaction of wage developments in the metal sector of these three countries, relevant macroeconomic (inflation and labour productivity) and sector-related variables (employment, export-dependence) are considered with reference to the wage policy guidelines of the European Commission and the European Metalworkers’ Federation. Empirical evidence can be found for a wage coordination effect in the form of increasing compliance with the wage policy guidelines of the European Metalworkers’ Federation. The evidence for compliance with the stability-oriented wage guideline of the European Commission is weaker.
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The Extreme Risk Problem for Monetary Policies of the Euro-Candidates
Hubert Gabrisch, Lucjan T. Orlowski
Abstract
We argue that monetary policies in euro-candidate countries should also aim at mitigating excessive instability of the key target and instrument variables of monetary policy during turbulent market periods. Our empirical tests show a significant degree of leptokurtosis, thus prevalence of tail-risks, in the conditional volatility series of such variables in the euro-candidate countries. Their central banks will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy to mitigate such extreme risks while steering their economies out of the crisis and through the euroconvergence process. Such policies provide flexibility that is not embedded in the Taylor-type instrument rules, or in the Maastricht convergence criteria.
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Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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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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