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.
The aim of this article is to outline growth tendencies and growth factors in the subregions (NUTS 3) of Central and Eastern Europe in the period 1998–2006. A wide range of complementary research methods has been used in order to triangulate results, starting with classical beta and sigma convergence analysis, to kernel density estimation, transition matrices, spatial autocorrelation and multi-dimensional comparisons. Some rarely discussed aspects of the influence of capital regions on growth processes have been taken into account. An additional analysis of the data in relation to country averages produced results independent of the country context. As a result, we have been able to answer the following questions: do the analysed countries experience regional convergence or rather divergence/polarisation processes? What factors determine the dynamics of regional growth? What are the main dimensions of spatial disparities in Central and Eastern Europe?
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.
The article presents the results of the analysis of the impact of the National Development Plan (NDP) 2004–2006 and the National Strategic Reference Framework (NSRF) 2007–2013 on divergence/convergence processes taking place in Poland as well as between its regions and the EU average, measured as GDP per capita in PPS. The analysis was made using simulation results received by applying 16 regional HERMIN models and data as well as forecasts concerning NDP and NSRF transfers prepared by the Ministry of Regional Development of the Republic of Poland. The application of HERMIN models allowed the authors to make forecasts regarding the following macroeconomic indicators: GDP per capita (in PPS) in relation to the EU average and to the national average by 2020. The results indicate that NDP and NSRF implementation can accelerate the convergence process between the Polish regions and the EU average and slow down the weak divergence process within the country.
Endogenous growth theories presume knowledge plays the key role in economic growth (1). Yet, new economic geography along with empirical findings suggest the possibility of divergence occurring in development processes (2). Combining (1) and (2) indicates the importance of studying knowledge factors’ distribution. To obtain the fully fledged picture of a given economy one shall go beyond simply analyzing knowledge factors but include also their spatial location. The article touches upon this issue. It is devoted to Germany and examines three territorial and administrative levels: one referring to former country division (DDR & BRD), the second relating to NUTS 1 (16 Bundesländer) and third represented by 41 Regierungsbezirke (NUTS 2). Results are obtained by investigating 5 factors (e.g. expenditure on R&D, human resources in S&T, patent applications) and applying 4 measures (Gini, Rosenbluth, Ellison–Glaeser and Herfindahl–Hirschman Coefficients). This paper is meant to supplement earlier studies as well as a good starting point for further research devoted to country’s knowledge landscape.
In the paper we present two neoclassical growth models of Solow-Swan type: with regional budget deficit and without it. The main aim of the paper is to analyze the convergence of regions in Poland towards their stable steady-states and to check the speed of this convergence. We use the method of calibration of parameters in models and numerical methods for calculating capital and output per worker in stable steady-states. The computations were made for the new administration division of Poland. On the base of empirical results we make conclusions about future distribution of wealth among regions and about potential possibilities of growth in regions. We also try to answer the question if in the future there will be convergence or divergence of welfare among regions of Poland.
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.
