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Assessment of the Development of Poverty in EU Countries.

Agnieszka Sompolska-RzechułaAgnieszka Kurdyś-Kujawska
Published in: International journal of environmental research and public health (2022)
The aim of the article is to assess of development of poverty in EU countries in 2010 and 2019. The study used the model method of the linear ordering of objects-TOPSIS, considering the distance of each object from both the pattern and the non-pattern development. The originality of the work consists in the use of primary data obtained from the Eurostat database and the winsorized data that were created on the basis of outliers. The indicators characterizing the first goal of sustainable development-"No poverty" were used. The results of the research indicate that the inhabitants of western Europe and Scandinavia are less affected by poverty than the population of eastern and southern Europe. The division of countries according to the scale of poverty is reflected in the level of GDP per capita.
Keyphrases
  • south africa
  • big data
  • machine learning
  • artificial intelligence
  • deep learning