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 objective of this paper is to present the role of the relationship between the location and financial performance of local government units. One of Poland’s largest voivodships, Wielkopolskie, was used as an example. Recent acceleration of suburbanisation processes not only results in socioeconomic changes in municipalities surrounding cities but also affects their financial performance. To attain the aforesaid objective, this study used variance analysis to investigate the significance of the differences in the financial ratios between the units analysed by location (measured as the distance of rural municipalities from district towns and from Poznań, the region’s capital). The research proved that the closer a municipality is to an urban centre, the greater its financial autonomy, liquidity and investments, yet at a higher level of debt. Also, the proximity to Poznań is a better determinant of the differences in financial performance than the location close to smaller urban centres.
