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Mapping Potentials for Input-Output Based Innovation Flows in Industrial Clusters – An Application to Germany
Matthias Brachert, Hans-Ulrich Brautzsch, Mirko Titze
Economic Systems Research,
Nr. 4,
2016
Abstract
Our paper pursues two aims: first, it presents an approach based on input–output innovation flow matrices to study intersectoral innovation flows within industrial clusters. Second, we apply this approach to the identification of structural weaknesses in East Germany relative to the western part of the country. The case of East Germany forms an interesting subject because while its convergence process after unification began promisingly in the first half of the 1990s, convergence has since slowed down. The existing gap can now be traced mainly to structural weaknesses in the East German economy, such as the absence of strong industrial cluster structures. With this in mind, we investigate whether East Germany does in fact reveal the abovementioned structural weaknesses. Does East Germany possess fewer industrial clusters? Are they less connected? Does East Germany lack specific clusters that are also important for the non-clustered part of the economy?
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Actors and Interactions – Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities
Mirko Titze, Matthias Brachert, Alexander Kubis
Growth and Change,
Nr. 2,
2014
Abstract
This paper contributes to the empirical literature on systematic methodologies for the identification of industrial clusters. It combines a measure of spatial concentration, qualitative input–output analysis, and a knowledge interaction matrix to identify the production and knowledge generation activities of industrial clusters in the Federal State of Saxony in Germany. It describes the spatial allocation of the industrial clusters, identifies potentials for value chain industry clusters, and relates the production activities to the activities of knowledge generation in Saxony. It finds only a small overlap in the production activities of industrial clusters and general knowledge generation activities in the region, mainly driven by the high-tech industrial cluster in the semiconductor industry. Furthermore, the approach makes clear that a sole focus on production activities for industrial cluster analysis limits the identification of innovative actors.
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Entrepreneurial Opportunity and the Formation of Photovoltaic Clusters in Eastern Germany
Matthias Brachert, Christoph Hornych
R. Wüstenhagen, R. Wuebker (Hrsg.), Handbook of Research on Energy Entrepreneurship,
2011
Abstract
The aim of this paper is to explain the evolution of the spatial structures of one particular type of renewable energy in Germany – the photovoltaic (PV) industry. We first demonstrate how environmental movements have contributed to institutional change and government action, leading to changes in the legal and regulative structure in Germany. We describe how these changes opened up a window of locational opportunity (WLO), thus combining the WLO concept with the entrepreneurial opportunity concept. As market entries occurred mainly in Eastern Germany, the paper also explores the factors leading to a concentration of economic activity related to the new PV industry in this part of the country. Based on the WLO concept, we combine this framework with the industrial dynamics literature by Klepper (2007) and illustrate the spatial evolution of the PV industry.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)
Mirko Titze, Matthias Brachert, Alexander Kubis
Regional Studies,
Nr. 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 Units Territoriales Statistiques (NUTS)-3 regions.
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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,
Nr. 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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Economic Structure and Regional Performance in Germany, 2002-2007
Alexander Kubis, Matthias Brachert, Mirko Titze
European Planning Studies,
Nr. 2,
2012
Abstract
This paper explores the impact of industrial clusters on regional growth at the German labour market region level using a regional convergence model. Based on the results of an exploratory study of the geography of German industrial clusters, we are able to differentiate the impact of industrial clustering from a horizontal and a vertical perspective while taking regional convergence into consideration. The results indicate that in addition to an all-German process of convergence, a specific East German one can be identified. The different types of industrial clusters show mixed effects within this framework. While vertically isolated industrial clusters have a negative impact on regional growth in this period, positive growth effects can be identified when industrial clusters show an intra-regional vertical interconnectedness.
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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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Challenges for Future Regional Policy in East Germany. Does East Germany really show Characteristics of Mezzogiorno?
Mirko Titze
A. Kuklinski; E. Malak-Petlicka; P. Zuber (eds), Souther Italy – Eastern Germany – Eastern Poland. The Triple Mezzogiorno? Ministry of Regional Development,
2010
Abstract
Despite extensive government support the gap between East and West Germany has still not been successfully closed nearly 20 years post German unification. Hence, some economists tend to compare East Germany with Mezzogiorno – underdeveloped Southern Italy. East Germany is still subject to sever structural problems in comparison to West Germany: lower per capita income, lower productivity, higher unemployment rates, fewer firm headquarters and fewer innovation activities. There are East German regions with less than desirable rates of development. Nevertheless, the new federal states have shown some evidence of a convergence process. Some regions have developed very positively – they have improved their competitiveness and employment levels. As such, the comparison of East Germany with Mezzogiorno does not seem applicable today.
According to Neoclassical Growth Theory, regional policy is targeted enhancing investment (hereafter the notion ‘investment policy’ is used). has been the most important instrument in forcing the ‘reconstruction of the East’. Overall, the investment policy is seen as having been successful. It is not, however, the only factor influencing regional development – political policy makers noted in the mid 1990s that research and development (R&D) activities and regional concentrated production networks, amongst other factors, may also play a part. The investment policy instrument has therefore been adjusted. Nevertheless, it cannot be excluded that investment policy may fail in particular cases because it contains potentially conflicting targets. A ‘better road’ for future regional policy may lie in the support of regional production and innovation networks – the so-called industrial clusters. These clusters would need to be exactingly identified however to ensure effective and efficient cluster policies.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis
Mirko Titze, Matthias Brachert, Alexander Kubis
IWH Discussion Papers,
Nr. 13,
2008
Abstract
The ‘cluster theory’ has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most studies focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations within a value-adding chain is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of Minimal Flow Analysis by Schnabl (1994). 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 NUTS-3 regions.
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