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 level of adaptability of basic administrative units in Poland (municipalities - gminy) has a huge impact on the extent of adverse consequences caused by floods, and therefore on the flood risk in municipalities. As part of the research, we selected 15 characteristics of the municipalities which shape their adaptability processes and allow a diagnosis of the municipalities’ adaptability to be made. The article aims at presenting the methodology of empirical research seeking to obtain observable data (indicators) using quantitative studies. These indicators make to possible to assess the level of the municipalities’ adaptability to flood risk. The empirical research with the use of the questionnaire produced the results which – by preparing a questionnaire –enabled us to obtain data which are unavailable to the general public, but are vital in identifying all characteristics of a municipality which impact its adaptability assessment. The questionnaire was applied in an adaptability research of 18 municipalities located in the Nysa Kłodzka basin, which are most at risk of flooding. Nevertheless, the research tool is a universal one and could be used for analysing any type of natural hazards.
This article presents new risk analysis technique. The People and Property Hazard Analysis (PPHA) is probabilistic, semiquantitative technique, uncomplicated and easy to use. It provides more precise estimates of a risk level than preliminary hazard analysis – probably the most commonly performed technique by local governments in Poland. PPHA is applicable to the analysis of all types of communities and organizations. The purpose of the new technique is to provide a tool that can assist decision-makers in effectively allocating limited resources across the vast array of potential investments that could mitigate risk.
The paper is devoted to analysis of the changes of Cohesion policy (more broadly: development policy) in the period 2014?2020. The author analyzes key documents influencing final solutions for that period. On top of that, he analyzes phenomena that can hamper changes, in particular, indecisiveness and leniency of managing services, tolerating negative phenomena like goal substitution and other manoeuvres leading to money spending instead of goal attainment. The author also considers why and to what extent the analyzed hazards may reduce the revolutionary character of long expected reforms.
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.
