Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "unemployment analysis" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-3 z 3
    Tytuł:
    The multivariate techniques in evaluation of unemployment analysis of Polish regions
    Autorzy:
    Tatarczak, Anna
    Boichuk, Oleksandra
    Powiązania:
    https://bibliotekanauki.pl/articles/18860652.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    labour market
    unemployment
    young people
    cluster analysis
    Opis:
    Research background: The labour market situation is considered to be the most widely discussed part of economic development. However, it should be noted that the unemployment situation of young people (aged 15-24 years) in Poland in general terms seems to be problematic. Overall, the unemployment rate among young people in Poland is significantly higher than the overall unemployment rate in the EU.  Moreover, the situation varies greatly across the regions. Purpose of the article: Using multivariate techniques as a theoretical framework, the main goal of the paper is to identify groups of Polish regions that share similar patterns regarding unemployment among young people. To reach this goal, first a set of labour market indicators were selected. Next, the authors compared the labour market situation of young people between the Polish regions in 2005 and in 2014. Finally, the conclusions regarding the conducted analysis are explored. Methods: The initial calculation is based on the concept of the taxonomic measure developed by Hellwig. The final method used to create clusters of objects (across 16 voivodeships of Poland) is cluster analysis. A segmentation of the voivodeships is observed for the years 2005 and 2014, based on selected indicators to determine the labour market situation. The data was gathered from the databases of the Central Statistical Office of Poland and Eurostat. Findings & Value added: Through the exploration of the advantages of multivariate methods, the nature of youth unemployment is revealed in more detail. Indeed, dendrogram analysis divided the voivodeships into five groups, which are characterized by similar features associated with the labour market. It was found that the groups which emerged in 2005 have a different composition of regions than in 2014; this difference seems to be connected with the economic crisis.
    Źródło:
    Oeconomia Copernicana; 2018, 9, 3; 361-380
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Female unemployment and its determinants in Poland in 2016 from the spatial perspective
    Autorzy:
    Lewandowska-Gwarda, Karolina
    Powiązania:
    https://bibliotekanauki.pl/articles/18807225.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    female unemployment in Poland
    NUTS 4 (LAU 1)
    spatial analysis
    GIS
    GWR
    Opis:
    Research background: Through the cultural progress and socio-economic development in Poland women have obtained the same rights as men in the labour market. Nevertheless, they continuously face discrimination and the difficulty, resulting from their traditional role, in finding or maintaining employment. Purpose of the article: The main objective of this study was an analysis of female unemployment and its determinants in Poland in 2016 from the spatial perspective. The following research questions were also specified: Is female unemployment dependent on social factors (do they play the key role)? Are the factors determining the level of female unemployment spatially diversified? Is the GWR model an effective tool in analysis of female unemployment? Methods: The research applied GIS and spatial analysis methods including Geographically Weighted Regression, which enables the identification of the variability of regression coefficients in the geographical space. The analysis was carried out based on statistical data presenting the share of unemployed women in the working age population for 380 Polish districts (NUTS 4, LAU 1) in 2016. Findings & Value added: The research results showed that in the period 2003-2016 the female unemployment was getting lower, but it was still higher than men. It was also spatially diversified. Moreover, the determinants of female unemployment were diverse in the geographic space and did not have a significant impact on the variable in all spatial units. The existence of clusters of districts, characterised by similar interactions and its strength, was also confirmed. The results of this analysis proved that non-economic (social) factors largely affected the level of female unemployment in Poland in 2016. Using GWR enabled drawing detailed conclusions concerning the determinants of female unemployment in Poland, it proved to be an effective tool for the analysis of this phenomenon.
    Źródło:
    Oeconomia Copernicana; 2018, 9, 2; 183-204
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial diversity of effectiveness of forms of professional activisation in Poland in years 2008-2014 by poviats
    Autorzy:
    Bieszk-Stolorz, Beata
    Dmytrów, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/19090896.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    registered unemployment
    forms of professional activisation
    cost and employment effectiveness
    cluster analysis
    k-means method
    Opis:
    Research background: Because the active labour market policy requires high resources, it is important to analyse the effectiveness of its instruments. For the unemployment, it is essential to identify the groups of persons threatened by the long-term unemployment, to assess the impact of programmes on exit from unemployment and monitoring the disbursement of funds. Purpose of the article: The goal of the article was identification of clusters of poviats in Poland with respect to cost and employment effectiveness of basic forms of professional activisation in the years 2008-2014. Methods: The poviats were clustered by means of the k-means method. Variables were standardised and the number of clusters was determined by means of the v-fold cross-validation. Findings & Value added: The analysis did not allow to unambiguously specify areas in Poland with better use of funds allocated in the activisation programmes. The poviats in the middle-east Poland were generally characterized by worse values of effectiveness. However, the unemployment rate in these areas was relatively small. On the contrary, the poviats in the north-east Poland had high unemployment rate and the funds were used effectively. Assessment of effectiveness of forms of professional activisation is very important because the activities of poviat labour offices influence the counteraction to unemployment.
    Źródło:
    Oeconomia Copernicana; 2019, 10, 1; 113-130
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies