Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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EVA-KULT
EVA-KULT Establishing Evidence-based Evaluation Methods for Subsidy Programmes in Germany The project aims at expanding the Centre for Evidence-based Policy Advice at the Halle…
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IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct Investment) comprises a total population of affiliates of multinational enterprises (MNEs) in selected…
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Transfer strategy
IWH-Transfer Strategy IWH-Transfer Strategy (PDF, 230 kB) In accordance with its statutes, the IWH pursues an intensive bilateral knowledge transfer on the basis of excellent…
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
See page
Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
Reinhold Kosfeld, Mirko Titze
International Regional Science Review,
No. 5,
2017
Abstract
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.
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Do Manufacturing Firms Benefit from Services FDI? – Evidence from Six New EU Member States
J. Damijan, Crt Kostevc, Philipp Marek, Matija Rojec
IWH Discussion Papers,
No. 5,
2015
Abstract
This paper focuses on the effect of foreign presence in the services sector on the productivity growth of downstream customers in the manufacturing sector in six EU new member countries in the course of their accession to the European Union. For this purpose, the analysis combines firm-level information, data on economic structures and annual national input-output tables. The findings suggest that services FDI may enhance productivity of manufacturing firms in Central and Eastern European (CEE) countries through vertical forward spillovers, and thereby contribute to their competitiveness. The consideration of firm characteristics shows that the magnitude of spillover effects depends on size, ownership structure, and initial productivity level of downstream firms as well as on the diverging technological intensity across sector on the supply and demand side. The results suggest that services FDI foster productivity of domestic rather than foreign controlled firms in the host economy. For the period between 2003 and 2008, the findings suggest that the increasing share of services provided by foreign affiliates enhanced the productivity growth of domestic firms in manufacturing by 0.16%. Furthermore, the firms’ absorptive capability and the size reduce the spillover effect of services FDI on the productivity of manufacturing firms. A sectoral distinction shows that firms at the end of the value chain experience a larger productivity growth through services FDI, whereas the aggregate positive effect seems to be driven by FDI in energy supply. This does not hold for science-based industries, which are spurred by foreign presence in knowledge-intensive business services.
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Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach
T. Buchmann, D. Hain, Muhamed Kudic, M. Müller
IWH Discussion Papers,
No. 1,
2014
Abstract
Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.
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Agglomeration and FDI in East German Knowledge-intensive Business Services
Philipp Marek
Economia Politica,
No. 3,
2012
Abstract
The focus of this article is the empirical identification of factors influencing Foreign Direct Investment (FDI) in the knowledge-intensive business service (KIBS) sector on the regional level of «Raumordnungsregionen» in East Germany. The analysis focuses on the impact of regional agglomeration and technological capability on the location decision of foreign investors and West German MNEs. It shows that localisation, patent activity and the share of employees with an R&D occupation affect significantly the location decision of FDI. This result provides an explanation for the strong concentration of KIBS in urban areas in a post-transition economy.
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