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Spatial Variation in EU Poverty with Respect to Health, Education and Living Standards

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  • Dorota Weziak-Bialowolska

Abstract

We examine the European Union (EU) countries and within-country areas (i.e., large urban areas, small urban areas, and rural areas) that are the most disadvantageous with respect to multidimensional poverty and in each of the investigated dimensions, i.e., health, education, and living standards. To this end, we construct the Multidimensional Poverty Index and its sub-indices: the Poverty in Health Index, Poverty in Education Index, and Poverty in Standard of Living Index. All of these indices provide information regarding the fraction of people who live in poverty, as well as information on the poverty intensity experienced by the poor. Our results indicate that the scale of poverty in the EU countries is diversified, with Denmark and Sweden being the most affluent countries, and Latvia, Bulgaria, and Romania being the most disadvantageous. We demonstrate that there are countries with no differences in the levels of poverty within a country, such as Denmark, Sweden, Spain, Finland, and the Czech Republic, and countries, usually less affluent ones such as Romania, Bulgaria and Lithuania, where considerable geographical inequality is present. In general, in countries with a high and moderately high number of poor, the worst situation with respect to the scale of poverty is observed in rural areas, and the best situation is observed in large urban areas, with the exception of Greece, Italy, and Portugal, where in large urban areas, the situation is the worst. In countries with a low number of poor, in general, the poverty is relatively higher in large urban areas. Copyright The Author(s) 2016

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  • Dorota Weziak-Bialowolska, 2016. "Spatial Variation in EU Poverty with Respect to Health, Education and Living Standards," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 451-479, January.
  • Handle: RePEc:spr:soinre:v:125:y:2016:i:2:p:451-479
    DOI: 10.1007/s11205-014-0848-7
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    4. Tomasz Grodzicki & Mateusz Jankiewicz, 2022. "The role of the common agricultural policy in contributing to jobs and growth in EU’s rural areas and the impact of employment on shaping rural development: Evidence from the Baltic States," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-14, February.
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    6. Tonutti, Giovanni & Bertarelli, Gaia & Giusti, Caterina & Pratesi, Monica, 2022. "Disaggregation of poverty indicators by small area methods for assessing the targeting of the “Reddito di Cittadinanza” national policy in Italy," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Anastasia Panori & Christina Kakderi & Panagiotis Tsarchopoulos, 2019. "Designing the Ontology of a Smart City Application for Measuring Multidimensional Urban Poverty," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 921-940, September.
    8. Tran, Tuyen Quang & Thi Nguyen, Hoai Thu & Hoang, Quang Ngoc & Van Nguyen, Dinh, 2022. "The influence of contextual and household factors on multidimensional poverty in rural Vietnam: A multilevel regression analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 390-403.
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    10. Shatakshee Dhongde & Robert Haveman, 2022. "Spatial and Temporal Trends in Multidimensional Poverty in the United States over the Last Decade," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 447-472, August.
    11. Shreya Pal, 2024. "Do economic globalization and the level of education impede poverty levels? A non-linear ARDL approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(3), pages 621-667, September.
    12. Monica Pratesi & Luciana Quattrociocchi & Gaia Bertarelli & Alessandro Gemignani & Caterina Giusti, 2021. "Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 563-586, August.
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