Using multivariate statistical methods to identify municipality clusters
Dirk Trocka
Теоретические основы и опыт стратегическ,
2008
Abstract
The monthly calculation of the Consumer Price Index is based on a sample survey in different municipalities. This study intends to evaluate and improve the representativity of the municipalities within the sample in Saxony-Anhalt with respect to their number and type applying multivariate analysis. The analysis uses variables representing both demand and supply conditions in the municipalities that determine market outcomes. It also considers the importance of a municipality for the neighbouring area.
Read article
Spillover Effects of Spatial Growth Poles - a Reconciliation of Conflicting Policy Targets?
Alexander Kubis, Mirko Titze, Joachim Ragnitz
IWH Discussion Papers,
No. 8,
2007
Abstract
Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).
Read article
Enhanced Cooperation in an Enlarged EU
Götz Zeddies, J. Ahrens, Renate Ohr
Jahrbuch für Wirtschaftswissenschaften,
No. 2,
2007
Abstract
The paper addresses the need for more flexibility in the integration process of the European Union after its recent eastward enlargement. The increasing number of decision-makers and the increasing heterogeneity of economic structures, financial constraints, societal preferences, and political interests impeded political decision making in the EU. In order to avoid a rank growth of integration and yet to strengthen the momentum of flexibility, so-called enhanced cooperation appears to be an appropriate instrument to be applied to the overall integration process. In this context the paper analyzes different possible developments of selected common policies in the EU if enhanced cooperation is practised by a sub-group of EU-members. Based on cluster analysis, similarities and distinctions among the EU members with respect to some specific policy realms are elaborated to identify clusters, or clubs, of countries which may apply the instrument of enhanced cooperation in the specific policy fields.
Read article
Threshold for employment and unemployment. A spatial analysis of German RLM's 1992-2000
Christian Dreger, Reinhold Kosfeld
External Publications,
2006
Abstract
Changes in production and employment are closely related over the course of the business cycle. However, as exemplified by the laws of Verdoorn (1949, 1993) and Okun (1962, 1970), thresholds seem to be present in the relationship. Due to capacity reserves of the firms, output growth must exceed certain levels for the creation of new jobs or a fall in the unemployment rate. While Verdoorn's law focuses on the growth rate of output sufficient for an increase in employment, in Okun's law, the fall in the unemployment rate becomes the focus of attention. In order to assess the future development of employment and unemployment, these thresholds have to be taken into account. They serve as important guidelines for policymakers. In contrast to previous studies, we present joint estimates for both the employment and unemployment threshold. Due to demographic patterns and institutional settings on the labour market, the two thresholds can differ, implying that minimum output growth needed for a rise in employment may not be sufficient for a simultaneous drop in the unemployment rate. Second, regional information is considered to a large extent. In particular, the analysis is carried out using a sample of 180 German regional labour markets, see Eckey (2001). Since the cross-sections are separated by the flows of job commuters, they correspond to travel-to-work areas. Labour mobility is high within a market, but low among the entities. As the sectoral decomposition of economic activities varies across the regions, the thresholds are founded on a heterogeneous experience, leading to more reliable estimates.The contribution to the literature is twofold. First, to the best of our knowledge, no previous paper has investigated a similar broad regional dataset for the German economy as a whole before. By using a panel dataset, information on the regional distributions around the regression lines as well as theirs positional changes is provided for each year. Second, the methods applied are of new type. They involve a mixture of pooled and spatial econometric techniques. Dependencies across the regions may result from common or idiosyncratic (region specific) shocks. In particular, the eigenfunction decomposition approach suggested by Griffith (1996, 2000) is used to identify spatial and non-spatial components in regression analysis. As the spatial pattern may vary over time, inference is conducted on the base of a spatial SUR model. Due to this setting, efficient estimates of the thresholds are obtained. With the aid of a geographic information system (GIS) variation of the spatial components can be made transparent. With Verdoorn’s and Okun’s law the figures show some significant patterns become obvious over time. In respect to Verdoorn’s law, for instance, a stripe of high values in the north-western part from Schleswig-Holstein via Lower Saxony and North Rhine Westfalia to Rhineland Palatinate is striking in all years but 1994 and 1995. In most periods the spatial component is likewise concentrated in Saxony. Clusters of low values can be found in northern Bavaria and, in some periods, in Thüringen and Mecklenburg-Vorpommern. Other parts of Germany appear to be more fragmented consisting of relative small clusters of low, medium and high values of the spatial component. With Okun’s law some changing spatial patterns arise. In all, spatially filtering provides valuable insights into the spatial dimensions of the laws of Verdoorn and Okun.
Read article
Vernetzung und einzelwirtschaftliche Effekte von Unternehmen der Kunststoff- und Biotechnologiebranche in Mitteldeutschland - eine Analyse am Beispiel der Clusterinitiativen „Chemie/Kunststoffe“ und „Biotechnologie/Life Sciences“
Walter Komar
IWH-Sonderhefte,
No. 2,
2006
Abstract
According to theoretical implications the success of enterprises benefits from co-operation in clusters and networks. Studies of cluster and network processes show this for the industries chemistry/plastics and biotechnology/Life Sciences in Central Ger-many. Therefore enterprises which are organized in networks have better economic characteristics. Estimations of the productivity of firms using co-operation-based and non-co-operation-based factors as independent variables reveal a significantly positive influence of the propensity to co-operate as well as networking. In this regard scientific institutions and universities located in the region of firms play an important role. From this analysis it can be generalized and concluded, also concerning other industries, that networks emerge automatically under certain conditions. Nevertheless their creation and development should be encouraged, e.g. by efficiency strengthening of public research and university education as well as the intensification of co-operation and networking between the scientific and the corporate sector. This can promote the technology and human capital transfer.
Read article
Enhanced Cooperation in an Enlarged EU, CeGE-Discussion Paper No. 53
J. Ahrens, Renate Ohr, Götz Zeddies
,
2006
Abstract
The paper adresses the need for more flexibility in the integration process of the European Union after its recent eastward enlargement. Due to the increasing number of decision-makers and the increasing heterogeneity of economic structures, financial constraints, societal preferences, and political interests, European integration based on the uniformity principle is hardly feasible. In order to avoid a rank growth of integration and yet to strengthen the momentum of flexibility, so-called enhanced cooperation appears to be an appropriate instrument to be applied to the overall integration process. In this context the paper analyzes different possible developments of selected common policies in the EU if enhanced cooperation is practised by a sub-group of EU-members. Based on cluster analysis similarities and distinctions among the EU members with respect to some specific policy realms are elaborated to identify clusters, or clubs, of countries which may apply the instrument of enhanced cooperation in the specific policy fields.
Read article
Economic Capability of East German Regions: Results of a Cluster Analysis
Franz Kronthaler
Regional Studies,
No. 6,
2005
Abstract
This paper analyses the economic capability of East German regions compared with West German regions. Based on new growth theory and new economic geography, and using relevant empirical literature, regions are clustered according to a set of growth factors. The clustering results find little evidence that the economic capability of East German regions is already comparable with West German regions. Economic disadvantages are particularly rooted in lower technical progress, a lack of entrepreneurship, lower business and industrial concentration, and a loss of human capital. However, there are a few East German regions with a high economic capability, but even those suffer from economic disadvantages such as lower technical progress, lower industrial activity and a poorer regional accessibility.
Read article
Differences between German regions with respect to growth factors: a comparison based on a cluster analysis
Franz Kronthaler
Wirtschaft im Wandel,
No. 13,
2003
Abstract
The objective of the paper is to examine regional disparities within Germany with respect to the endowment with growth factors. The study is based on a cluster analysis. Growth factors considered are innovation activity, human capital, private and public capital, and regional concentration. The results show that German regions can be classified in ten clusters with different characteristic profiles. Eight clusters consist of West German regions and two clusters comprise East German regions. There is no cluster which contains both West and East German regions. Regarding the East German clusters more precisely it can be shown that the endowment with growth factors in most of East German regions is low. This result applies also for several West German regions. However there are few East German regions particularly those with important agglomerations which have a more favourable endowment with growth factors. Nevertheless also in those regions still several weaknesses in the endowment with growth factors exist.
Read article
A Study of the Competitiveness of Regions based on a Cluster Analysis: The Example of East Germany
Franz Kronthaler
IWH Discussion Papers,
No. 179,
2003
Abstract
This paper examines whether some East German regions have already achieved the same economic capability as the regions in West Germany, so that they are on a competitive basis with the West German regions and are able to reach the same economic level in the long run. If this is not the case, it is important to know more about the reasons for the economic weakness of the East German regions twelve years after unification.
The study is based on a cluster analysis. Criteria for the cluster formation are several economic indicators, which provide information about the economic capability of regions. The choice of the indicators is based on a review of results of the theoretical and empirical literature on the new growth theory and new economic geography.
The results show that most of the East German regions have not yet reached the economic capability and competitiveness of their West German counterparts so that they - from the viewpoint of the new growth theory and the new economic geography - are not in the position to reach the same economic level. According to these theories economic disadvantages are most notably the consequences of less technical progress, a lack of entrepreneurship and fewer business concentration. Under these points it is especially noteworthy that young well educated people leave these East German regions so that human capital might will turn into a bottle-neck in the near future. Only a few regions in East Germany - those with important agglomerations - are comparable to West German regions that are characterised by average capability and competitiveness, but not to those with above average economic capability and competitiveness. Even those more advanced East German regions still suffer from a slower technical progress.
There are important policy implications based on these results: regional policy in East Germany was not able to assist raising all regions to a sufficient level of competitiveness. It may be more effective to concentrate the regional policy efforts on a selection of important agglomerations. This has also strong implications for the EU regional policy assuming that the accession countries will have similar problems in catching up to the economic level of the EU as have the East German regions.
Read article
Regional analysis of East Germany: A comparison of the economic situation of states, districts, and municipalities
Franz Barjak, Peter Franz, Gerhard Heimpold, Martin T. W. Rosenfeld
Wirtschaft im Wandel,
No. 2,
2000
Abstract
A decade after the German unification we look at the extent of economic differentiation within East Germany. This is achieved by help of a set of selected statistical indicators for the years 1991 to 1998. Comparisons are drawn a) between the East German jurisdictions and b) between West and East German jurisdictions. On the federal state (Laender) level it can be shown that each state has developped its own specific economic profile. Brandenburg is characterized by a positive net migration (suburban function for Berlin), relatively low unemployment and high GDP values, but relatively low entrepreneurial activities. Saxony has achieved the lowest unemployment, a good endowment with human capital, modern industrial technology, infrastructure, and entrepreneurial activities. Special features of Thuringia consist of a relatively large number of patent applications and a stable industrial base. The economic state of Mecklenburg-Vorpommern is characterized by low industrial investment, negative net migration, and high unemployment. A special feature of this federal state is the intense investmenr in tourist services. Saxony-Anhalt registers the highest decrease in the numbers of industrial workers between 1991 and 1998 and the highest unemployment. On the other side it shows the highest amount of investment, especially in chemical industry and in mineral oil processing.
On the county level four clusters can be identified by means of a cluster analysis: A “cluster of counties with severe economic weaknesses” with a bias in the regions indutrialized in an early stage, a “cluster with a high human capital potential and suburbanization loss” consisting of 21 cities, a “cluster of counties with good economic results” predominantly surrounding the larger cities, and a “cluster of counties with SME growth potential” concentrating in Thuringia and Saxony.
The results at the city level show that the larger cities above 100.000 inhabitants, especially Dresden and Leipzig, do better than the smaller cities. Jena in Thuringia has specialized as a location for R&D, Zwickau in Saxony as a location for the automobile industry. Altogether the economic differences between the East German federal states, counties, and cities still are less pronounced than the degree of differentiation of their West German counterparts.
Read article