The Determinants of Inward Foreign Direct Investment in Business Services Across European Regions
Davide Castellani
Finanza e Statistica 104/2012,
2012
Abstract
The paper accounts for the determinants of inward foreign direct investment in business services across the EU-27 regions. Together with the traditional variables considered in the literature (market size, market quality, agglomeration economies, labour cost, technology, human capital), we focus on the role of forward linkages with manufacturing sectors and other service sectors as
attractors of business services FDI at the regional level. This hypothesis is based on the evidence that the growth of business services is mostly due to increasing intermediate demand by other services industries and by manufacturing industries and on the importance of geographical proximity for forward linkages in services.
To our knowledge, there are no studies investigating the role of forward linkages for the location of FDI. This paper aims therefore to fill this gap and add to the FDI literature by providing a picture of the specificities of the determinants of FDI in business services at the regional level. The empirical analysis draws upon the database fDi Markets, from which we selected projects having as a destination NUTS 2 European regions in the sectors of Business services over the period 2003-2008. Data on FDI have been matched with data drawn from the Eurostat Regio
database. Forward linkages have been constructed using the OECD Input/Output database. By estimating a negative binomial model, we find that regions specialised in those (manufacturing) sectors that are high potential users of business services attract more FDI than other regions. This confirms the role of forward linkages for the localisation of business service FDI, particularly in the case of manufacturing.
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A Systemic View on Knowledge-based Development Metrics
Mirko Titze, Michael Schwartz, Matthias Brachert
International Journal of Knowledge-Based Development,
Nr. 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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International Fragmentation of Production and the Labour Input into Germany’s Exports – An Input-Output-analysis
Hans-Ulrich Brautzsch, Udo Ludwig
IWH Discussion Papers,
Nr. 14,
2011
Abstract
The import penetration of exports has become a topic of public debate, particularly in the context of Germany’s position as one of the world’s leading exporters. The growth in the volume of intermediate products purchased from abroad for subsequent processing into export goods in Germany seems to be undermining the importance of exports as a driver of domestic production and employment. The gains that arise from an increase in exports seem to have been offset by the losses caused by the crowding out of local production by imports. Empirical evidence on the impact of this international integration of the goods market on the German labour market is ambiguous. Short-term negative effects on employment are claimed to be offset by the long-term benefit that the jobs lost in the short run will eventually be replaced by higher-skilled jobs with better
perspectives. Against this background, the following hypothesis is tested empirically: Germany is poor in natural resources, but rich in skilled labour. In line with the Heckscher- Ohlin theory, Germany should therefore specialize in the production of export goods and services that are relatively intensive in these factors and should import those goods and services that are relatively intensive in unskilled labour. The empirical part of the paper deals with the extent of the German export penetration by imports. At first, it analyses by what ways imports are affecting the exports directly and indirectly and shows the consequences of import penetration of exports for the national output and employment. Secondly, consequences for employment are split in different skill types of labour. These issues are discussed with the standard open static inputoutput- model. The data base is a time series of official input-output tables. The employment effects for Germany divided by skill types of labour are investigated using skill matrices generated by the authors.
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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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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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Technology Clubs, R&D and Growth Patterns: Evidence from EU Manufacturing
Claire Economidou, J. W. B. Bos, Michael Koetter
European Economic Review,
Nr. 1,
2010
Abstract
This paper investigates the forces driving output change in a panel of EU manufacturing industries. A flexible modeling strategy is adopted that accounts for: (i) inefficient use of resources and (ii) differences in the production technology across industries. With our model we are able to identify technical, efficiency, and input growth for endogenously determined technology clubs. Technology club membership is modeled as a function of R&D intensity. This framework allows us to explore the components of output growth in each club, technology spillovers and catch-up issues across industries and countries.
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Do All Countries Grow Alike?
Claire Economidou, J. W. B. Bos, Michael Koetter, James W. Kolari
Journal of Development Economics,
Nr. 1,
2010
Abstract
This paper investigates the driving forces of output change in 77 countries during the period 1970–2000. A flexible modeling strategy is adopted that accounts for (i) the inefficient use of resources, and (ii) different production technologies across countries. The proposed model can identify technical, efficiency, and input change for each of three endogenously determined regimes. Membership in these regimes is estimated, rather than determined ex ante. This framework enables explorations into the determinants of output growth and convergence issues in each regime.
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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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Quality of Service, Efficiency, and Scale in Network Industries: An Analysis of European Electricity Distribution
Christian Growitsch, Tooraj Jamasb, Michael Pollitt
IWH Discussion Papers,
Nr. 3,
2005
Abstract
Quality of service is of major economic significance in natural monopoly infrastructure industries and is increasingly addressed in regulatory schemes. However, this important aspect is generally not reflected in efficiency analysis of these industries. In this paper we present an efficiency analysis of electricity distribution networks using a sample of about 500 electricity distribution utilities from seven European countries. We apply the stochastic frontier analysis (SFA) method on multi-output translog input distance function models to estimate cost and scale efficiency with and without incorporating quality of service. We show that introducing the quality dimension into the analysis affects estimated efficiency significantly. In contrast to previous research, smaller utilities seem to indicate lower technical efficiency when incorporating quality. We also show that incorporating quality of service does not alter scale economy measures. Our results emphasise that quality of service should be an integrated part of efficiency analysis and incentive regulation regimes, as well as in the economic review of market concentration in regulated natural monopolies.
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