The Performance of Firms and Regions: Determinants and the Evaluation of Industrial Policy
This research group belongs to the IWH Research Cluster Productivity and Innovation. The group focuses on two main research questions: (i) What is the causal effect of cooperative innovation activities on the performance of firms and regions? (ii) What are the causal effects of public Research and Development (R&D) support schemes on the performance of firms and regions? The first research question concerns the dynamics of firms and regions as a result of their different innovation activities. We apply a micro-based integrative perspective on innovative activities which allows identifying causal effects of cooperative activities on specific outcomes (e. g., patent applications, scientific publications, employment growth, or productivity growth). Concerning the second research question, recent studies mainly focus on the evaluation of one specific subsidy scheme. Research in this group aims to overcome this shortcoming by considering various support schemes. Indicators for the firms’ success are (amongst others) patent applications and employment growth. The results allow insights for the future design of innovation support schemes.
IWH Data Project: IWH R&D Micro Database
Research ClusterProductivity and Innovation
01.2015 ‐ 12.2016
Evaluation of the "Joint Task 'Improving the Regional Economic Structure'" in the Federal State of Saxony-Anhalt
12.2015 ‐ 11.2018
Socio-economic Effects of Research on Innovative Approaches for POC Diagnostics
Federal Ministry of Education and Research (BMBF)
Part of the EXASENS project. Coordinated by the Leibniz Institute of Photonic Technology (IPHT) in Jena, nine Leibniz institutes are working together on researching point-of-care (POC) technology for the prediction and diagnosis of chronic inflammatory respiratory diseases. See press release: http://www.leibniz-ipht.de/en/news/read-more/back/418/newsdate/2016/01/17/expertisen-aus-neun-leibniz-instituten-vereinigen-sich-in-einem-chip.html
A Systemic View on Knowledge-based Development Metrics
in: International Journal of Knowledge-Based Development , No. 1, 2012
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.
Actors and Interactions – Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities
in: Growth and Change , No. 2, 2014
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.
Die Identifikation horizontaler und vertikaler industrieller Clusterstrukturen in Deutschland – Ein neues Verfahren und erste empirische Ergebnisse
in: Raumforschung und Raumordnung , No. 5, 2009
. 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 starting with specific regional case studies, input-output methods and different concentration measures. This article presents a new instrument in empirical cluster research – the Qualitative Input-Output Analysis –, which offers the possibility to identify industrial cluster in conjunction with concentration measures. Especially, this method allows the combination of an identified critical mass of regional firms with the necessity of interaction of these firms within an input-output framework. Applying this method to Germany’s “Arbeitsmarktregionen” we find that 103 “Arbeitsmarkregionen“ show first signs of horizontal industrial clusters, while only 28 regions are able to attract vertical industrial clusters. 139 “Arbeitsmarktregionen” did not show signs of industrial clusters according to the research design.
Investitionszuschüsse nur bei Schaffung von Arbeitsplätzen? Schlussfolgerungen aus der Förderung eines Investitionsprojektes über die Gemeinschaftsaufgabe im Land Brandenburg
in: Zeitschrift für Wirtschaftspolitik , 2009
The Joint Task “For the Improvement of the Regional Economic Structure“ is one of the most important Instruments of the German regional policy. This instrument is applied in regions with strong structural problems and aims to reduce unemployment. The instruments institutional framework demands the creation of additional permanent posts. This paper explores that these requirements can provoke inefficient combinations of production factors. The reasons for that problem can be seen in market failures as well as political disappointments. The government of each federal state has an incentive to demand permanent posts as much as possible because public revenue can equal the government expenditures after a relative short time period due to employment and production effects. The institutional framework of the German financial equalization scheme between the federal states contributes to that problem too - the expenditures for subsidization can be balanced by perequations paid by the other federal states.
Mapping Potentials for Input-Output Based Innovation Flows in Industrial Clusters – An Application to Germany
in: Economic Systems Research , No. 4, 2016
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?
The Impact of R&D Collaboration Networks on the Performance of Firms and Regions: A Meta-analysis of the Evidence
in: IWH Discussion Papers , No. 14, 2012
Innovation is the result of an interactive process. Knowledge-intensive interactions among different partners are associated with a variety of advantages and disadvantages for the actors involved. Therefore, a rich body of literature investigating the impact of R&D collaboration networks on the innovation performance of firms and regions has developed over the last two decades. Those studies come to different results. The aims of this paper are manifold. First, the paper summarizes the results of the relevant literature. Second, a brief overview of the established methods and approaches used in the literature to investigate this research question is given. The third objective is to answer the question whether the achieved results in the literature are predetermined by the employed methods. Finally, relevant gaps for further research are identified. To answer these questions a meta-analysis of the relevant literature is conducted. This study shows that knowledge-intensive interactions have a rather positive impact on the performance of firms and regions. There is also evidence that the employed methods and approaches used in the literature to investigate this research question predetermine the outcome of the research.
Does Proximity Matter in the Choice of Partners in Collaborative R&D Projects? – An Empirical Analysis of Granted Projects in Germany
in: IWH Discussion Papers , No. 12, 2014
This paper contributes to the discussion on the importance of physical distance in the emergence of cross-region collaborative Research and Development (R&D) interactions. The proximity theory, and its extensions, is used as a theoretical framework. A spatial interaction model for count data was implemented for the empirical analysis of German data from the period from 2005 to 2010. The results show that all tested proximity measurements (geographical, cognitive, social and institutional proximity) have a significant positive influence on collaboration intensity. The proximity paradox, however, cannot be confirmed for geographical, social and institutional proximity, but for cognitive proximity.
“Geschäftsmodell Deutschland“ und außenwirtschaftliche Ungleichgewichte in der EU
in: CEGE - Center for European, Governance and Economic Development Research, Discussion Paper (110) , 2010
During the last decades, current account imbalances increased all over the world. In this context, countries with current account surpluses, in the European Union especially Germany, are increasingly blamed for their modest wage policies, which are seen as the main reason for global imbalances. On the basis of a panel data model, the present paper indentifies the determinants of current account imbalances of EU Member States. As the results show, price competitiveness is, although significant, only one out of many explanatory variables. Instead, current account imbalances are substantially caused by divergent propensities to save. This does not only relate to public, but also to private savings. Accordingly, demands addressed to Germany and other countries for higher wage agreements alone would be unrewarding. Instead, domestic demand in surplus countries should be increased by other means. On the other hand, in countries with current account deficits, existing savings potentials should be adequately exploited.