Micro-Based Evidence of EU Competitiveness: The CompNet Database
Filippo di Mauro, et al.
ECB Working Paper,
No. 1634,
2014
Abstract
Drawing from confidential firm-level balance sheets in 11 European countries, the paper presents a novel sectoral database of comparable productivity indicators built by members of the Competitiveness Research Network (CompNet) using a newly developed research infrastructure. Beyond aggregate information available from industry statistics of Eurostat or EU KLEMS, the paper provides information on the distribution of firms across several dimensions related to competitiveness, e.g. productivity and size. The database comprises so far 11 countries, with information for 58 sectors over the period 1995-2011. The paper documents the development of the new research infrastructure, describes the database, and shows some preliminary results. Among them, it shows that there is large heterogeneity in terms of firm productivity or size within narrowly defined industries in all countries. Productivity, and above all, size distribution are very skewed across countries, with a thick left-tail of low productive firms. Moreover, firms at both ends of the distribution show very different dynamics in terms of productivity and unit labour costs. Within-sector heterogeneity and productivity dispersion are positively correlated to aggregate productivity given the possibility of reallocating resources from less to more productive firms. To this extent, we show how allocative efficiency varies across countries, and more interestingly, over different periods of time. Finally, we apply the new database to illustrate the importance of productivity dispersion to explain aggregate trade results.
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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
No. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space
Muhamed Kudic, Peter Bönisch, Iciar Dominguez Lacasa
Abstract
Empirical and theoretical contributions provide strong evidence that firm-level performance outcomes in terms of innovativeness can either be determined by the firm’s position in the social space (network effects) or by the firm’s position in the geographical space (co-location effects). Even though we can observe quite recently first attempts in bringing together these traditionally distinct research streams (Whittington et al. 2009), research on interdependent network and geographical co-location effects is still rare. Consequently, we seek to answer the following research question: considering that the effects of social and geographic proximity on firm’s innovativeness can be interdependent, what are the distinct and combined effects of firm’s network and geographic position on firm-level innovation output? We analyze the innovative performance of German laser source manufacturers between 1995 and 2007. We use an official database on publicly funded R&D collaboration projects in order to construct yearly networks and analyze firm’s network positions. Based on information on population entries and exits we calculate various types of geographical proximity measures between private sector and public research organizations (PRO). We use patent grants as dependent variable in order to measure firm-level innovation output. Empirical results provide evidence for distinct effect of network degree centrality. Distinct effect of firm’s geographical co-location to laser-related public research organization promotes patenting activity. Results on combined network and co-location effects confirms partially the existence of in-terdependent proximity effects, even though a closer look at these effects reveals some ambiguous but quite interesting findings.
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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 Effects of Shared ATM Networks on the Efficiency of Turkish Banks
H. Evren Damar
Applied Economics,
No. 6,
2006
Abstract
This study investigates whether forming shared ATM networks has yielded positive benefits for banks in Turkey by increasing their productive efficiency. Using a Data Envelopment Analysis (DEA) approach, pure technical and scale efficiency scores of Turkish banks are estimated and analysed for the period 2000–2003. The results suggest that although it is possible to realize positive effects through ATM sharing arrangements, there are multiple factors that determine which banks realize such benefits. The geographical distribution of shared ATMs between urban and rural markets and the level of competition between banks within urban areas are shown to be important determinants of differences in bank efficiency. This discrepancy between the gains associated with ATM sharing may have important implications concerning the adoption and sharing of new technology by banks in developing countries.
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Firm-Specific Determinants of Productivity Gaps between East and West German Industrial Branches
Johannes Stephan, Karin Szalai
IWH Discussion Papers,
No. 183,
2003
Abstract
Industrial productivity levels of formerly socialist economies in Central East Europe (including East Germany) are considerably lower than in the more mature Western economies. This research aims at assessing the reasons for lower productivities at the firm level: what are the firm-specific determinants of productivity gaps. To assess this, we have conducted an extensive field study and focussed on a selection of two important manufacturing industries, namely machinery manufacturers and furniture manufacturers, and on the construction industry. Using the data generated in field work, we test a set of determinant-candidates which were derived from theory and prior research in that topic. Our analysis uses the simplest version of the matched-pair approach, in which first hypothesis about relevant productivity level-determinants are tested. In a second step, positively tested hypothesis are further assessed in terms of whether they also constitute firm-specific determinants of the apparent gaps between the firms in our Eastern and such in our Western panels. Our results suggest that the quality of human capital plays an important role in all three industrial branches assessed. Amongst manufacturing firms, networking activities and the use of modern technologies for communication are important reasons for the lower levels of labour productivity in the East. The intensity of long-term strategic planning on behalf of the management turned out to be relevant only for machinery manufacturers. Product and process innovations unexpectedly exhibit an ambiguous picture, as did the extent of specialisation on a small number of products in the firms’ portfolio and the intensity of competition.
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