Research Clusters
Three Research Clusters Research Cluster "Economic Dynamics and Stability" Research Questions This cluster focuses on empirical analyses of macroeconomic dynamics and stability.…
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Management Capability and Innovation
Bill Francis, Iftekhar Hasan, Gokhan Yilmaz
Stephen P. Ferris, Kose John, Anil K. Makhija (eds): Empirical Research in Banking and Corporate Finance. Advances in Financial Economics 21, Emerald,
2022
Abstract
This chapter investigates whether core competence of managers and their expansive (vs. specialized) managerial style affects firms' innovative ability, capacity, and efficiency. Using exogenous CEO departures as a natural experiment, it establishes a causal link between managerial capability and innovation. Importantly, it reveals that firms with talented managers receive significantly more nonself citations; make significantly lower self-citations and lesser citations to the others, indicating novel and explorative innovation achievements. Also, managers with higher general (specialized) ability are cited more (less) by patents from a wider range of fields. Lastly, career concern is identified as a mechanism linking higher ability and innovation.
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Is Social Capital Associated with Corporate Innovation? Evidence from Publicly Listed Firms in the U.S.
Iftekhar Hasan, Chun-Keung (Stan) Hoi, Qiang Wu, Hao Zhang
Journal of Corporate Finance,
June
2020
Abstract
We find that social capital in U.S. counties, as captured by strength of social norms and density of social networks, is positively associated with innovation of firms headquartered in the county, as captured by patents and citations. This relation is robust in fixed-effect regressions, instrumental variable regressions with a Bartik instrument, propensity score matching regressions, and a difference-in-differences design that isolates the effects of over time variations in social capital due to corporate headquarter relocations. Strength of social norms plays a more dominant role than density of social networks in producing these empirical regularities. Cross-sectional evidence indicates the prominence of the contracting channel through which social capital relates to innovation. Additionally, we find that social capital is also positively associated with trademarks and effectiveness of corporate R&D expenditures.
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Innovation Cooperation in East and West Germany: A Study on the Regional and Technological Impact
Uwe Cantner, Alexander Giebler, Jutta Günther, Maria Kristalova, Andreas Meder
International Journal of Computational Economics and Econometrics,
3/4
2018
Abstract
In this paper, we investigate the impact of regional and technological innovation systems on innovation cooperation. We develop an indicator applicable to regions, which demonstrates the relative regional impact on innovation cooperation. Applying this method to German patent data, we find that regional differences in the degree of innovation cooperation do not only depend on the technology structure of a region but also on specific regional effects. High-tech oriented regions, whether east or west, are not automatically highly cooperative regions. East German regions have experienced a dynamic development of innovation cooperation since re-unification in 1990. Their cooperation intensity remains higher than in West German regions.
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Network Positioning, Co-Location or Both?
Muhamed Kudic
Innovation Networks in the German Laser Industry. Springer Cham,
2015
Abstract
Previous research indicates that firm innovativeness can either be determined by a firm’s position within the network dimension or by its position within the geographical dimension. Integrative studies addressing both distinct and combined proximity effects remains rare (cf. Whittington et al. 2009). Thus, we address in this Chapter the following research question: Are firm-level innovation outcomes positively or negatively related to network positioning effects, geographical co-location effects or combined proximity effects; and if the latter case is true, are the combined effects substitutional or complementary in nature? Panel data count models with fixed and random effects were used to analyze a firm’s innovative performance as measured by patent application counts. This last empirical analysis is organized as follows: We start with a short introduction in Sect. 12.1. Next, we provide a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we discuss our findings and conclude with a number of critical remarks in Sect. 12.6.
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Technological Activities in CEE Countries: A Patent Analysis for the Period 1980-2009
Iciar Dominguez Lacasa, Alexander Giebler
IWH Discussion Papers,
No. 2,
2014
Abstract
The aim of this paper is to analyze the technological activities of Central and Eastern European (CEE) economies and to compare them with the technological activities of other world regions. Using data from the EPO World Wide Statistical Database for the period 1980-2009 the analysis is based on counts of priority patent applications over time. In terms of priority patent applications, CEE reduced its technological activities drastically in absolute and per capita terms after 1990. The level of priority patent applications in this world region maintained more recently a stable level below the performance of EU15, South EU and the former USSR. In what concerns technological specialization, the results suggest a division of labor in technological activities among world regions where Europe, Latin America and the former USSR are mainly specializing in sectors losing technological dynamism in the global patent activities (Chemicals and/or Mechanical Engineering) while North America, the Middle East (especially Israel) and Asia Pacific are increasingly specializing in Electrical Engineering, a sector with strong technological opportunities.
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A Systemic View on Knowledge-based Development Metrics
Mirko Titze, Michael Schwartz, Matthias Brachert
International Journal of Knowledge-Based Development,
No. 1,
2012
Abstract
Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.
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How Does Industry Specialization Affect the Efficiency of Regional Innovation Systems?
Michael Fritsch, Viktor Slavtchev
Annals of Regional Science,
No. 1,
2010
Abstract
This study analyzes the relationship between the specialization of a region in certain industries and the efficiency of the region in generating new knowledge. The efficiency measure is constructed by relating regional R&D input and output. An inversely u-shaped relationship is found between regional specialization and R&D efficiency, indicating the presence of externalities of both Marshall and Jacobs’ type. Further factors influencing efficiency are externalities resulting from high R&D intensity of the local private sector as well as knowledge from local public research institutions. The impact of both the specialization and the additional factors is, however, different for regions at different efficiency levels.
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Industry Concentration and Regional Innovative Performance – Empirical Evidence for Eastern Germany
Christoph Hornych, Michael Schwartz
Post-Communist Economies,
2009
Abstract
Regarding technological innovativeness, the transformed economy of the former German Democratic Republic (GDR) clearly lags behind the western part of the country. To face this weakness a broad mixture of policy measures was carried out in recent years. Particular attention is drawn to the development of industry concentrations and economic ‘clusters’. However, little is known about the effectiveness of these policy measures regarding how industry concentrations in fact promote innovative performance in Eastern Germany. The present study tries to fill this gap by analysing the relationship between industry concentration in Eastern Germany and regional innovative performance. Our empirical analysis is based upon the number of patent applications of 22 manufacturing industries in 22 Eastern German planning regions. The estimated regression models indicate an inverted-U relationship between the degree of industry concentration and innovative performance. An exceedingly high degree of industry concentration in one region hampers regional innovative output. We discuss policy implications of our findings and give recommendations for future refinement of ‘cluster’-supporting policy schemes in Eastern Germany.
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Industry Concentration and Regional Innovative Performance – Empirical Evidence for Eastern Germany
Christoph Hornych, Michael Schwartz
IWH Discussion Papers,
No. 8,
2009
Abstract
Regarding technological innovativeness, the transformed economy of the former German Democratic Republic (GDR) clearly lags behind the Western part of the country. To face this weakness, a broad mixture of policy measures was carried out in recent years. Particular attention is drawn to the development of industry concentrations and economic ‘clusters’. However, little is known about the effectiveness of these policy measures regarding how industry concentrations in fact promote innovative performance in Eastern Germany. The present study tries to fill this gap by analyzing the relationship between industry concentration in Eastern Germany and regional innovative performance. Our empirical analysis is based upon the number of patent applications of 22 manufacturing industries in 22 Eastern German planning regions. The estimated regression models indicate an inverted U-shaped relationship between the degree of industry concentration and innovative performance. An exceedingly high degree of industry concentration in one region hampers regional innovative output. We discuss policy implications of our findings and give recommendations for future refinement of ‘cluster’-supporting policy schemes in Eastern Germany.
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