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Ocena rozwoju społeczno-ekonomicznego województw za pomocą HDI

100%
Hozer-Koćmiel M.
Wiadomości Statystyczne. The Polish Statistician
|
2018
|
issue 3
40-49
PL
Celem artykułu jest zbadanie poziomu rozwoju społeczno-ekonomicznego województw z wykorzystaniem HDI (wskaźnika rozwoju społecznego), który uwzględnia trwanie życia, liczbę lat edukacji oraz PKB per capita liczony według parytetu siły nabywczej. Sformułowano hipotezę o wzroście rozwoju województw przy jednoczesnym zwiększaniu się różnic między nimi. W badaniu wykorzystano dane GUS za lata: 1995, 2010, 2013 i 2015. Badanie wykazało, że HDI rósł systematycznie dla wszystkich województw w latach 1995—2015 i potwierdziło pogłębiające się zróżnicowanie województw pod względem rozwoju społeczno-ekonomicznego. Najbardziej rozwinięte okazały się województwa: mazowieckie, małopolskie, wielkopolskie i dolnośląskie, a najmniej: lubuskie, warmińsko-mazurskie, podkarpackie i świętokrzyskie.
EN
The aim of this article is to examine the level of socio-economic development of voivodships using HDI (Human Development Index), which considers life expectancy at birth, number of years of schooling and GDP per capita in purchasing power parity. The hypothesis about the increase in the level of voivodships development with simultaneous growth of differences between them was formulated. Statistics Poland’s data for the years 1995, 2010, 2013 and 2015 were used in the research. The research showed that HDI was growing systematically for all voivodships in the years 1995-2015 and confirmed the deepening diversification of voivodships in terms of socio-economic development. The most developed were such voivodships as: Mazowieckie, Małopolskie, Wielkopolskie and Dolnośląskie, whereas, the least developed ones were: Lubuskie, Warmińsko-Mazurskie, Podkarpackie and Świętokrzyskie.
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Examining Similarities in Time Allocation Amongst European Countries

63%
Hozer-Koćmiel M., Lis C.
Statistics in Transition new series
|
2016
|
vol. 17
|
issue 2
217-330
EN
The aim of the article is to analyse the similarities between the selected European countries in terms of time allocation. Time allocation has been defined as the daily distribution of time to various activities. Professional work time, domestic work time and leisure time are the most important for the economic approach. It has been proved that there are coherent groups of countries with similar structure of time allocation. The taxonomic methods used in order to verify the thesis included: cluster analysis, k-means method, generalised distance measure GDM and interval taxonomic method TMI. The analysis was performed on the basis of HETUS data.
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