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 Units Territoriales Statistiques (NUTS)-3 regions.
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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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Technology Clubs, R&D and Growth Patterns: Evidence from EU Manufacturing
Claire Economidou, J. W. B. Bos, Michael Koetter
European Economic Review,
No. 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,
No. 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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Growth, Employment, Poverty Alleviation and Institutional Development – Lessons from Country Cases – An Introduction
Tobias Knedlik, Karl Wohlmuth
African Development Perspectives Yearbook, No. 14,
2009
Abstract
Economic growth is a central concept in judging the progress of economic development. Since the early years of economic sciences, economists aim to explain the differences in the production of goods and services among economies. Economic policy focuses on economic growth as the basis for the well-being of nations. The simple idea is that the extension of the productive capacity and finally the increase of consumption possibilities in an economy is the basis of all policies aiming to increase a nation’s welfare. It is therefore not surprising that aims of development policy are often linked to specific economic growth targets. So the United Nation’s Millennium Development Goals are assumed only to be achieved if a certain level of economic growth can be reached.
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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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