The article is based upon the results of National General Survey conducted in December 2002. It is focused on differences in professional activity and the levels of unemployment among various subregions in Poland. Considering this issue two subregions were pointed - the "Central" and the "West". They both vary in levels of economic activity of inhabitants. There are more ownership and self-employment in the "West" region, but nevertheless there is higher rate of unemployment. The reasons lay in character of enterprises - they are very small, vulnerable and unstable. They produce the streams of inflows and outflows from unemployment to job and vice versa.
Theory and empirical literature relates educational quality to two main explanatory factors: intergenerational transfer of human capital and the quality of schools, school composition and economic conditions. Based on these findings a model explaining territorial differentiation of educational quality is proposed. The dependent variable is test score of 6th grade students, averaged at municipality level. As it turns out, educational outcome is highly conditioned on local human capital stock. The role of traditionally meant school quality (resources) is minor (although higher in rural areas than in cities. Average school outcome differs significantly along historical divisions of Poland, not only in levels, but also in parameters of determining function. Legacies of the past and related socioeconomic processes have a substantial impact on the sensitivity of educational quality to different explanatory factors.
The objective of this paper is to demonstrate how the development of European peripheries can be strengthened by cooperative clusters, viewed as loose business organizations where cooperation of partners results in a synergy effect. The existence of clusters in peripheral areas may give efficient solutions to many problems, such as unemployment or the need of restructuring regional economy. Partnership of clusters may add up to their competitiveness thanks to the home demand. The present paper presents an example of the Lubelskie Region, the most neglected region in Poland. It is argued here that cooperation among local clusters provides a chance for an increase in the region’s social activity and for its economic growth.
The paper’s main objective is to introduce into the topic of regional development in the postindustrial regions Ruhr and Upper Silesia taking aspects of economic and spatial planning under consideration. The region Ruhr has lived through a difficult period of development. A lot of self-given objectives could be accomplished. Anyway various long-term problems like the relative high unemployment rate, the demographic challenges or industrial waste lands are still present and are awaiting solutions. In some problem areas Upper Silesia might orient oneself to the strategies conducted in the Ruhr agglomeration and adapt strategies which delivered positive results and prevent failures which resulted by middle-rate measures.
Tadeusz Stalewski, Adam Szpak
The aim of this article is to analyze the odds to find a job and the assessment of the duration of long-term unemployment. The data base is the 2007–2011 records from the Local Labour Office in Sulęcin. The authors of the article make the hypothesis that the impact of the determinants on the odds and rate of finding a job by the long-term unemployed is the same as in the case of the all the unemployed. The authors present a thesis that the determinants of long-term unemployment in the period of study are: the place of residence, age, the level of education, gender, seniority and the year of leaving the register. To analyze the data they use such nonlinear regression models as: the logistic model and the Cox hazard model. The former enables them to compare the odds to leave unemployment and the latter – to assess the time spent on finding employment. The designated odds ratios and hazard ratios are used to study the differences between subgroups of individual characteristics of the long-term unemployed as compared with all the unemployed.
The paper aims to show the relationship between changes in the number of the unemployed in the six largest cities in Poland and the corresponding suburban and peripheral areas. The performed analyses use VAR models. The results indicate that the number of the unemployed is the most flexible in cities, and the smallest in peripheral areas. Long-term relationships in unemployment occurred only between some cities and their suburbs. Stronger short-term relationships were found between cities and their suburbs, but the results varied depending on the city.
