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EN
(Polish title: Analiza jakosci zycia osob bezrobotnych zarejestrowanych w powiatowym urzedzie pracy w Bydgoszczy). The study was carried out on the basis of interviews, conducted directly with 200 randomly chosen people, registered as unemployed in the council labour offices in Bydgoszcz in September 2009. The main tool in this survey was a specially prepared questionnaire which made possible the collection of information on the following topics: the socio-demographic characteristics of the person taking part in the study, their current situation on the job market and the material and immaterial aspects of their lives. Questionnaire also allowed to explore the subjective feelings of respondents on the quality of their lives.
EN
The aim of the paper was to assess the standard of living of Polish households in 2006 according to their size and division into socio-economic categories. To measure it a synthetic indicator based on the TOPSIS method was used. The conducted analysis revealed significant differences in the standard of living of individual households. The highest standard of living characterised the households of self-employed persons, which had up to five members, and the households of employed persons, which had not more than two members. In turn, the lowest standard of living was observed in the two-member households of farmers and in the many-member households of retired persons and disability pensioners. Significant disparities in the level of satisfaction of needs relating to individual goods and services may cause differences in the behaviour of individuals, lead to social marginalisation and the emergence of pathological groups that have no chances for proper participation in social life.
EN
The paper presents the debate in the literature over aggregative measures of economic welfare, and investigates the differences in how economic welfare is evaluated in various countries, depending on the measurement applied. The first part of the article looks at the debate over the various ways of measuring economic welfare. The second presents a comparative analysis of welfare, measured on the basis of a few indicators, between Poland and other countries. The literature overview indicates that alternative, and perhaps better measurements then GDP per capita, are characterised by one major weakness – the arbitrary selection of partial measures. The result is that it is difficult to use the values obtained from various sources in empirical research. Moreover, it is hard to find long enough time series other than GDP per capita and HDI that present other than conventional aspects of welfare, which in turn indicate the quality of life. Comparison of values of various welfare measurements shows a different picture of welfare in the world. Conventional measures, such as GDP per capita and HDI, overestimate the Euro-Atlantic culture countries, especially EU-15, OECD, and UCJNA. Measurement with heterodox theoretical background evaluates as relatively higher those countries with a relatively lower level of economic development, as measured with conventional measurements.
EN
The article deals with the identification of factors of the standard of living. Ambiguous definition of the term “standard of living” requires for its quantification sufficient theoretical knowledge from the methodology field. The principal component analysis (PCA) was used to reduce the extensive amount of factors of the standard of living as well as for the determining of the most important ones. Data mining was used to compare the use of the PCA with various classification algorithms and later on it was tested with developments of the feature selection. The methods were applied on the sample of 2 783 respondents from 5 EU countries which represents areas of cultural similarities. The result of this effort is reduction from 99 considered factors of standard of living to final 45. Data mining helped to exclude 30 attributes and thus the final amount is set to 69. In case of comparison of these methods and their results it seems more appropriate the PCA over the feature selection method.
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