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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,
No. 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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The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
No. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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The Structure and Evolution of Intersectoral Technological Complementarity in R&D in Germany from 1990 to 2011
Matthias Brachert, T. Broekel
Abstract
Technological complementarity is argued to be a crucial element for effective Research and Development (R&D) collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis.
The results illustrate sectors being complements both from a dyadic and portfolio/ network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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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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Investment Grants: Which Requirements Should be Fulfilled?
Mirko Titze, Lutz Schneider
Wirtschaft im Wandel,
No. 11,
2010
Abstract
Since the year 1969 the German government has applied investment grants to improve regional economic development of disadvantaged regions. The support of eligible firms shall enhance its investment activities. Such activities may force a sustainable development of the respective region. One requirement – amongst others – for the grant of this investment support scheme is the firm’s verification of supra-regional sales. The gains resulting from the firms’ export activities lead to additional income for that region, and this stimulates multiplicative (reinforcing) regional income processes. Since the German reunification this instrument has been applied in the new federal states, too. Due to the fact that structural deficits still exist in East Germany investment grants are adopted primarily in the new federal states. Today, some policy decision makers think that the catching-up process of disadvantaged regions is not fast enough. Against this background, the further application of investment grants is discussed controversially. Some criticism tends to the criterion of supra-regional sales. It has been argued that particularly small firms are excluded from this support scheme. However, small firms are considered as key players for regional economic activities. Moreover, firms which are highly integrated in international markets depend on world trade cycles and that might be risky for the respective region. Finally, critics believe that regional actors should be boosted in order to strengthen regional identities in terms of regional buyer-supplier-networks. This article shows that policy decision makers should maintain the criterion of supra-regional sales. Particularly, regions with a loss of inhabitants need gains from supra-regional sales to stabilise their local purchasing power. Otherwise, these regions are strongly dependent on transfer flows stemming from other regions. Beyond that, supra-regional sales indicate the firm’s international competitiveness. Finally, the most important argument for supra-regional sale might be linkages to supra-regional knowledge flows which strongly affect the region’s innovative capabilities.
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The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification
Mirko Titze, Matthias Brachert, Alexander Kubis
IWH Discussion Papers,
No. 14,
2010
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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Business Networks in the Leipzig, Dresden, Chemnitz and Halle Regions: Do Member Firms Locate in Spatial Proximity?
Gerhard Heimpold
Wirtschaft im Wandel,
No. 4,
2010
Abstract
The business landscape in East Germany mainly consists of small and medium-sized firms. This in mind, business networks may contribute to an improvement of the economic performance of firms which collaborate in business networks. For successful networking a mix of network members being locally concentrated on the one side and of partners from distant regions, especially from abroad, on the other side, is important. In regional economics, this duality is highlighted for two reasons: personal contacts of partners which are located in spatial proximity to each other may ease the transfer of tacit knowledge. The flow of tacit knowledge can be regarded as a factor which enhances innovation processes. However, the inclusion of partners from abroad is important, too. It facilitates access to the most advanced knowledge and technologies worldwide. The academic debate on networking regards a one-sided orientation on the local dimension of networking as risky due to possible lock-in effects. The empirical findings for 93 business networks existing in the regions of Leipzig, Dresden, Chemnitz and Halle, which are located in the southern part of East Germany, reveal a great proportion of network members concentrated locally: On average, this is the case with more than 50% of the network members. 10% of members are located in the other three city regions mentioned. More than one third of firms are located outside, in other German regions, of which around the half in the states of Saxony and Saxony-Anhalt. A minority of 2% is located abroad. However, for the transfer of externally existing knowledge other network members may be relevant, too. To illustrate: More than four fifths of the networks under investigation include public research units (universities etc.) which usually play an important role when it comes to an inter-regional and international knowledge transfer.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis
Mirko Titze, Matthias Brachert, Alexander Kubis
IWH Discussion Papers,
No. 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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Spatially Concentrated Industries as Innovation Driver? – Empirical Evidence from East Germany
Christoph Hornych, Michael Schwartz
Wirtschaft im Wandel,
No. 9,
2008
Abstract
A positive relation between the spatial concentration of sectors and their capacity of innovation is frequently assumed in regional science as well as in regional development policy. Therefore, with the support of sectoral agglomeration, effects on the regional technological performance are expected. However, previous empirical work is inconsistent in supporting this interdependency.
This study aims to examine the effects of sectoral agglomeration on innovative activities in East-German regions. For this purpose, spatially concentrated industries are identified and included in the estimation of regional ‘knowledge-production-functions’. Contrary to expectations, the spatial concentration seems to inhibit the amount of patent-activities of the sector in the specific region. In contrast, positive effects are generated from research facilities. Moreover, we find evidence for intersectoral spillovers.
The results show that for innovative activities, urbanization effects have a higher relevance as localization effects. So far, spatially concentrated industries are not an innovation driver in East Germany.
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