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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ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers
Gaaitzen J. de Vries, Michael Koetter
Oxford Bulletin of Economics and Statistics,
Nr. 4,
2011
Abstract
The adoption of information and communication technology (ICT) can have far-reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.
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The empirical performance of the Cobb-Douglas production function Evidence from Unified Germany
Christian Dreger
Einzelveröffentlichungen,
Nr. 2,
2002
Abstract
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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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Is East Germany Catching Up? A Time Series Perspective
Bernd Aumann, Rolf Scheufele
Post-Communist Economies,
2010
Abstract
This article assesses whether the economy of East Germany is catching up with the West German region in terms of welfare. While the primary measure for convergence and catching up is per capita output, we also look at other macroeconomic indicators such as unemployment rates, wage rates and production levels in the manufacturing sector. In contrast to existing studies of convergence between regions of the reunified Germany, our approach is based purely upon the time series dimension and is thus directly focused on the catching up process in East Germany as a region. Our testing set-up includes standard ADF unit root tests as well as unit root tests that endogenously allow for a break in the deterministic component of the process. We find evidence of catching up for East Germany for most of the indicators. However, the convergence speed is slow, and thus it can be expected that the catching up process will take further decades until the regional gap is closed.
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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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Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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