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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Auswirkungen der aus dem Konjunkturpaket II für das Zentrale Innovationsprogramm Mittelstand (ZIM) bereitgestellten Mittel auf die konjunkturelle Entwicklung. Gutachten im Auftrag des Bundesministerium für Wirtschaft und Technologie (BMWi)
Jutta Günther, Udo Ludwig, Hans-Ulrich Brautzsch, Brigitte Loose, Nicole Nulsch
One-off Publications,
2011
Abstract
The ZIM program (Zentrales Innovationsprogramm Mittelstand) is a technologically open program of the Federal Ministry of Economics and Technology to support small and medium enterprises and Science organizations in their research and innovation activities. It became operative July 1, 2008 and offers three program lines: individual projects, cooperative projects, and networks. In reaction to the global economic crisis the ZIM program was increased for the years 2009 and 2010 – in addition to the regulary scheduled 626 Million – by 900 Million Euro through the Konjunkturpaket II (KP II).
In this study, the analysis of the macroeconomic effects of the ZIM program in Germany has been carried out – first time in the evaluation of federal support programs for research and innovation – by the use of the input output method.
The pdf file includes an english summary with details about the study's results.
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East German economy in 2011: Despite overall Economic Growth no Progress in Catching Up
Udo Ludwig, Hans-Ulrich Brautzsch, Franziska Exß, Brigitte Loose
Wirtschaft im Wandel,
No. 7,
2011
Abstract
All in all, the IWH expects that GDP of East Germany will increase by 2.8% this year. With this forecast, the growth gap with the West will indeed reduce significantly, but the growth rate remains once again behind the West. The reason is not only that the East German federal states have to consolidate their budgets. The weaker increase in aggregate output is also due to export and innovation weakness, the lack of large enterprises, the aging and declining population.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)
Mirko Titze, Matthias Brachert, Alexander Kubis
Regional Studies,
No. 1,
2011
Abstract
The 'cluster theory' has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most empirical applications focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of minimal flow analysis (MFA). 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 Nomenclature des Unite´s Territoriales Statistiques (NUTS)-3 regions.
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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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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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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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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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European Commission, Leibniz Association and IWH Discuss Innovation Related Policy in Transitions Regions
Björn Jindra, Katja Wilde
Wirtschaft im Wandel,
No. 7,
2009
Abstract
On February 17, 2009, the Halle Institute for Economic Research (IWH) and the Leibniz Association (WGL) held the final conference of the EU-project “Understanding the Relationship between Knowledge and Competitiveness in the Enlarging European Union” (U-know) in Brussels. The research dealt with systemic aspects of innovation and knowledge transfer as well as the development of R&D (research and development) and innovation related policy. Thereby, a particular emphasis was put on the challenges facing the new EU member states and East Germany. The research project proved to be very productive with 54 research papers in refereed journals as well as 33 articles in edited volumes.
The aim of the conference was to present and discuss the main results of the U-know project with experts from the industry as well as the political and scientific community. Within four parallel sessions (Enterprises and markets, Public science and industry links, Systems and governance, Role of institutions), research output was presented. Representatives of the EU Commission commented directly on the presentations with a view on policy implications. In a final panel, all participants underlined the increasing importance of education, R&D, and innovation related policy to support the competitiveness of the EU-15 countries as well as the catching-up process of the new EU member states. The conference has raised significant interest both within the scientific community and the EU Commission.
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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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