The article presents intraregional convergence processes in different types of European metropolitan macro-regions in the years 1995–2004. The typology is based on factor analysis using principal components methods as well as cluster analysis using the Ward method. The results of the analysis indicate the presence of a specific situation in particular types of macro-regions. On the one hand, a clear internal divide of capital city regions of Central and Eastern European Countries was observed, as well as large interregional differences in the level of development in other peripheral macro-regions. On the other hand, Northern Italian and Southern German macro-regions, dependent on modern industry, were internally quite coherent regarding their level of development. The situation was similar also in some regions that experience problems and undergo restructurisation processes. Capital city regions of smaller European countries, especially from the former EU15 (but not constituting any particular type), were the most differentiated group of macro-regions.
The aim of the research was the evaluation of the regional disparities in the economic efficiency of private companies in Poland. An attempt to answer the following question was taken: Do the regional disparities in the economic efficiency of private companies in Poland are increasing or decreasing? On the basis of the research results one can obtain some important conclusions. Regional disparities in the economic efficiency of private companies in Poland during years 1999-2008 have slightly decreased, and still remain at the average level. It was caused by the different dynamics of economic processes occurring in voivodships and also by the processes of the internal convergence and divergence of voivodships.
The main goal of this article is to investigate how the structure of inter-sectoral links affects the dynamics of human capital. This structure has been split into related variety (RV) and unrelated variety (UV). The assembled empirical evidence shows that RV positively affects the rate of human capital growth in a region, while UV has negative effects both in the group of all Polish regions and in the most developed regions located in western Poland. Moreover, among all the analysed control variables, only RV determines the existence of the effect of human capital convergence.
Convergence is one of the key issues of cohesion policy. The European Union applies different instruments of regional development to reduce disparities between regions and countries. Due to the discussion on the effectiveness of this policy, a research in this area seems to be required. The purpose of this article is to assess the diversity of wealth in the regions using the methods of measurement of sigma convergence. The main parameter used in the calculations is GDP per capita in 2000–2007 at the sub-regional level (NUTS-3). The research shows that income inequalities among some groups of Polish regions have increased after the accession to the EU. Convergence patterns vary in cities, rich sub-regions and poor sub-regions. In some cases, convergence is correlated with the dynamics of GDP, whereas in other there is no significant relationship between convergence and the economic situation.
The author investigates the problem of convergence of Polish regions towards their stationary stable states in the Solow model. The article shows how it is possible to estimate the conditional and unconditional ?-convergence with the panel methods. The estimations using panels with fixed effects are performed, which allows to estimate the growth rates of labor productivity (technical progress) and to check the differences between regions with respect to the productivity.
The study focuses on the mutual relations between the quality of government and the implementation of the EU Cohesion Policy in various regional contexts. The research shows quite significant differences in this respect between “convergence-oriented” regions and „competitiveness and employment-oriented” ones. The quality of government has a positive impact on the efficiency of spending of EU funds in both groups of regions, although the dependence is much stronger in the „convergence-oriented” regions. In turn, the scale of EU funds contributes to the improvement of the quality of government, but only in the „convergence-oriented” regions. In this group, changes in the quality of government took place immediately before and after accession to the EU, when the process of adapting the institutional system to the needs related to the implementation of Cohesion Policy occurred. Although the differences in the quality of government between the two groups of regions have decreased, the research shows that in the „convergence-oriented” regions, the potential causative power of EU funds was rather poorly used in this respect.
European regional support has grown in parallel with European integration. The funds targeted at achieving greater economic and social cohesion and reducing disparities within the EU have more than doubled in relative terms since the end of the 1980. making development policies the second most important policy area in the EU. The majority of the development funds have been earmarked for Objective 1 regions, i.e. regions where GDP per capita is below the 75% of the EU average. However, the European development policies have come under increasing criticism based on two facts: the lack of upward mobility of assisted regions and the absence of regional convergence. This paper assesses, using cross-sectional and panel data analyses, the failure so far of European development policies to fulfil their objective of delivering greater economic and social cohesion by examining how European Structural Fund support is allocated among different development axes in Objective 1 regions. We find that, despite the concentration of development funds on infrastructure and, in less extent on business support, the returns to commitments of these axes are not significant. Support to agriculture has short term positive effects on growth, but these wane quickly, and only investment in education and human capital which only represents about one-eight of the total commitments has medium-term positive and significant returns.
The article is devoted to a critical discussion of several widely accepted principles of regional development and regional policies. It is argued that the in the current development paradigm it is impossible to achieve regional convergence, which should lead to a deep change in understanding the very assumptions of the Cohesion policy of the EU. It is indicated that external impulses do not lead to an accelerated growth in lagging regions, which is especially true in the case of infrastructural projects, especially those which are related to incidental events, like expositions or sport championships. One of the most broadly used model for an ex ante evaluation – the HERMIN model – is also discussed.
The aim of this article is the description of growth tendencies and growth factors in subregions (NUTS 3) of Central and Eastern Europe in 1998–2006. Wide range of complementary research methods has been used in order to triangulate results – starting with classical beta and sigma convergence analysis, through kernel density estimation, transition matrices to spatial autocorrelation and multidimensional comparisons. Rarely exposed aspect of influence of capital regions on growth processes was taken into account. Additional analysis of the data in relation to country average allowed to obtain conclusions independent of the country context. As a result, it appeared to be possible to answer the following questions: do the analyzed countries face regional convergence or divergence/polarization process?; what factors determine the dynamics of regional growth?; what are the main dimensions of spatial disparities in Central and Eastern Europe.
An Economic and Monetary Union is the next stage of European integration. The membership in the euro zone should result in strengthening the safety and stability of the national economy. Therefore, the new member countries ought to aspire to accession, meeting in advance the Maastricht convergence criteria. The paper presents the assessment of the nominal convergence of new EU members (general government deficit and general public debt related to GDP, annual average inflation rates, long-term interest rates) in 2004–2009.
The purpose of this article is to establish whether regional convergence is present in Poland in terms of GDP per capita. An analysis was conducted for the years 1995–2005 at the voivodeship (NUTS2), sub-regional (NUTS3 classification) and intra-voivodeship levels. Convergence means a reduction of income disparities between regions. The opposite phenomenon is called divergence. The author of the paper used a method – proposed by Quah (1993, 1996a, 1996b) – that enables an analysis of the full distribution dynamics of relative per capita income. It consists in the estimation of transition matrices derived from Markov’s processes and in the use of nonparametric kernel estimators of the relative density function for relative GDP distribution per capita in subsequent years. The method facilitates verification of the club convergence hypothesis, which is impossible using the classic methodology (Barro and Sala-i-Martin 2003). It is clear that income distribution is stable and that there is no unconditional convergence both between voivodeships and between sub-regions. In general, voivodeships as well as sub-regions were impoverished as a result of a faster-than-normal growth of the richest voivodeships (mazowieckie voivodeship) and sub-regions (large cities, mainly Warsaw and Poznan). The diversification of relative GDP per capita grows in time both in the case of voivodeships and sub-regions. The convergence model that can be seen both at NUTS2 and NUTS3 levels is club convergence (polarisation): relatively the poorest and – separately – the richest regions are becoming similar and converge at different income levels. The analysis also includes the occurrence of sub-region convergence within voivodeships, with the only observable convergence model being club convergence.
