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EN
This paper deals with analysis and presentation of the core findings under the EU SILC 2009 project. Particularly we are oriented on study of the socially vulnerable groups of population identified according their income situation. As a sorting criterion for this purpose we use the standard methodology set by OECD and Eurostat. It means the 60% of the national median equivalized disposable income is applied for this criterion as the poverty threshold. The national income variable is firstly calculated as a total income for each surveyed household and dived by the equivalized size of household. By this procedure the households of various structures are transformed onto generally accepted scale. The special attention of our study is oriented on the cluster of population living on income below the poverty threshold. For this population we calculate so called social deficit. Through this value we show the volume of financial means needed to upgrade the living standard of the population living bellow poverty threshold at least to the poverty threshold level.Special section of the paper is devoted to study of relation among the core macroeconomic indicators (GDP per capita and GDP annual growth) and level and size of the at-risk-of-poverty population during the period of last economic development, including both economic growth and economic recession. According our tentative findings we did not find the significant impact of economic growth on the status of socially vulnerable population. This finding however should be studied in broader context, with longer time series of relevant data and with broader set of explanatory variables.
EN
The aim of the paper was to identify the determinants of the state of poverty using logistic regression. The analysis focused on economic poverty considered through the prism of income. Three states of poverty were considered: poverty, near poverty (household’s income from 100% to 125% of the adopted poverty threshold) and above near poverty (income higher than 125% of poverty threshold), using the ordinal logit model and – after the rejection of the proportional odds assumption – the multinomial logit model. The analysis was preceded by a presentation of the basic facts concerning three states of poverty. Based on the conducted analysis it can be stated that the education of the household's head, place of residence, labourforce status and socio-economic group were very important factors of the state of poverty, and they change the odds of being in above near poverty relative to poverty and the odds of being in near poverty relative to poverty.
PL
W artykule opisano wybrane aspekty ubóstwa materialnego (ekonomicznego) w woj. dolnośląskim na tle kraju oraz innych województw, a także w przekroju powiatów dolnośląskich w 2013 r. w porównaniu do 2010 r. Porównawczą analizę ubóstwa zaprezentowano za pomocą taksonomicznego miernika syntetycznego utworzonego na podstawie zestawu trzech wskaźników diagnostycznych. Uzupełnieniem obiektywnej oceny ubóstwa była prezentacja wyników subiektywnej oceny sytuacji materialnej gospodarstw domowych w przekroju województw na podstawie wyników badań GUS w zakresie budżetów gospodarstw domowych.
EN
The article presents selected aspects of economic poverty in the Dolnośląskie Voivodship on the background of the country and other voivodships, as well as in the cross-section of the Dolnośląskie powiats in 2013, as compared to 2010. The comparative analysis of poverty level by powiats was presented by means of taxonomic synthetic measure based on a set of three selected diagnostic indicators. A complement to the objective assessment of poverty in the Dolnośląskie Voivodship was a presentation of results of subjective assessment of material situation of households in the voivodships’ cross-section.
RU
В статье были охарактеризованы избранные аспекты материальной бедности (экономической) в нижнесилезском воеводстве на фоне страны и других воеводств, а также в разрезе нижнесилезских повятов в 2013 г. в сопоставлении с 2010 г. Сравнительный анализ бедности был представлен с использованием таксономического синтетического измерителя разработанного на основе набора трех диагностических показателей. Дополнением объективной оценки бедности было представление результатов субъективной оценки материального положения домашних хозяйств в воеводском разрезе на основе результатов обследований бюджетов домашних хозяйств проведенных ЦСУ.
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