On the Determinants of the Cooperative Behavior of Firms in the German Photovoltaic Industry
Christoph Hornych, Matthias Brachert
IWH Discussion Papers,
No. 20,
2010
Abstract
The article examines the determinants of the number of cooperation partners and the share of regional cooperations of firms in the German photovoltaic industry. Based on an overview about possible effects of the cooperation of firms with partners inside and outside their region, we derive hypotheses on the relationship between both firm-specific and region-specific variables and the cooperative behavior of firms. The hypotheses are tested with regression models using a data set of 178 firms of the German photovoltaic industry. The results show that in particular large firms and firms with a high absorptive capacity have significantly more co-operation partners. Furthermore, firms cooperate within their region especially when a large number of potential partners are located in the same region. Regarding foreign-owned firms, the results show that these firms tend to cooperate in particular with partners, inside the region where they are located.
Read article
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.
Read article
Selectivity, Social Ties and Spatial Mobility – An Analysis of Preferences for Return Migration
Lutz Schneider, Alexander Kubis, D. Wiest
Abstract
In the public debate, the brain drain from East Germany is supposed to be the most critical trend regarding the development and catching-up of the New Länder. Therefore, potential for in- and re-migration has attracted much attention at least in the political context. Our contribution analyses the re-migration potential on the basis of data from a DFG research project focussing on the re-migration intentions of people formerly emigrated from Saxony-Anhalt. The analysis concentrates on the following aspects: the effect of job market success after emigration; the impact of social ties to the origin and the host region and on the selectivity of
re-migration preferences. The econometric results confirm several expected effects: On the one hand an individual’s job market success reduces the intention to return. Likewise, the re-migration preference increases for people whose expectations were disappointed. On the other hand, the relevance of social ties to the origin region for re-migration dispositions is confirmed by the estimations. Yet, regarding selectivity of re-migration preferences in terms of human capital econometric results are somewhat ambiguous.
Read article
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, rel atives 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.
Read article
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.
Read article
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.
Read article
Police Reorganization and Crime: Evidence from Police Station Closures
Sebastian Blesse, André Diegmann
Abstract
Does the administrative organization of police affect crime? In answering this question, we focus on the reorganization of local police agencies. Specifically, we study the effects police force reallocation via station closures has on local crime. We do this by exploiting a quasi-experiment where a reform substantially reduced the number of police stations. Combining a matching strategy with an event-study design, we find no effects on total theft. Police station closures, however, open up tempting opportunities for criminals in car theft and burglary in residential properties. We can rule out that our effects arise from incapacitation, crime displacement, or changes in employment of local police forces. Our results suggest that criminals are less deterred after police station closures and use the opportunity to steal more costly goods.
Read article
Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
Read article
The Evolution of Monetary Policy in Latin American Economies: Responsiveness to Inflation under Different Degrees of Credibility
Stefan Gießler
IWH Discussion Papers,
No. 9,
2020
Abstract
This paper investigates the forward-lookingness of monetary policy related to stabilising inflation over time under different degrees of central bank credibility in the four largest Latin American economies, which experienced a different transition path to the full-fledged inflation targeting regime. The analysis is based on an interest rate-based hybrid monetary policy rule with time-varying coefficients, which captures possible shifts from a backward-looking to a forward-looking monetary policy rule related to inflation stabilisation. The main results show that monetary policy is fully forward-looking and exclusively reacts to expected inflation under nearly perfect central bank credibility. Under a partially credible central bank, monetary policy is both backward-looking and forward-looking in terms of stabilising inflation. Moreover, monetary authorities put increasingly more priority on stabilising expected inflation relative to actual inflation if central bank credibility tends to improve over time.
Read article
Protecting Our People and Economy in the Long Term
Kai Konrad, Mareike Kunter, Lena Tonzer
Covid-19 Lessons Learned - Preparing for Future Pandemics. Spanish National Research Council,
2021
Abstract
While taking measures to prevent the infection was an acute necessity, the impact on other areas of life should always be considered, both, in the short- and long term. The pandemic and the mitigation measures have directly or indirectly affected people’s well-being, their general health, education or the economy. In order to learn for the future, it is of utmost importance to monitor and understand these side effects, in particular regarding long-term developments.
Read article