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The Occurrence of the Preconditions for Social Exclusion in the Czech Republic: A Basis for the Planning of Social Prevention Services

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  • Kovářová Eva
  • Vavrek Roman

    (VŠB – Technical University of Ostrava, Faculty of Economics, Department of Public Economics, Czech Republic)

Abstract

Persisting social exclusion is one of the key issues the European Union Member States have to handle according to the headline targets of the Europe 2020 strategy. In the Czech Republic, more than 1 million people – 12.5% of the whole population – lived in the year 2019 at risk of poverty or social exclusion. Between the years 2010 and 2019, the monetary poverty rate oscillated around 10%. Although these are one of the lowest rates among the EU Member States, reduction and elimination of social exclusion has still been a challenge for the Czech policy-makers due to the relatively constant rates of monetary poverty, as low incomes are generally recognized as one of the causes of social exclusion. The aim of the paper is to identify the occurrence of the preconditions for social exclusion in the Czech districts revealed in the inter-district comparison that is based on the multi-criterial evaluation of the socio-economic situation in these districts. Such evaluation can serve as a basis for the planning of social prevention services, which are regarded as the means of prevention and reduction of social exclusion. Our findings obtained with the use of the Multi-Criteria Decision Making technique reveal that the occurrence of the preconditions for social exclusion varies among LAU1 districts of the Czech Republic and that districts lying in two NUT3 regions are affected more than others. Individuals living there are more likely to be socially excluded, especially if this higher probability derived from the districts’ socio-economic situation is accompanied with their individual poor skills, health, or family breakdown.

Suggested Citation

  • Kovářová Eva & Vavrek Roman, 2021. "The Occurrence of the Preconditions for Social Exclusion in the Czech Republic: A Basis for the Planning of Social Prevention Services," Review of Economic Perspectives, Sciendo, vol. 21(2), pages 173-188, June.
  • Handle: RePEc:vrs:reoecp:v:21:y:2021:i:2:p:173-188:n:3
    DOI: 10.2478/revecp-2021-0008
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    References listed on IDEAS

    as
    1. Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "The Measurement of Social Exclusion," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 167-189, Springer.
    2. Annie Abello & Rebecca Cassells & Anne Daly & Gabriela D’Souza & Riyana Miranti, 2016. "Youth Social Exclusion in Australian Communities: A New Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 635-660, September.
    3. Roman Vavrek, 2019. "Evaluation of the Impact of Selected Weighting Methods on the Results of the TOPSIS Technique," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1821-1843, November.
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    More about this item

    Keywords

    Coefficient of Variance; Multi-criteria analysis; Multiple disadvantage; Poverty; Social exclusion; Social services;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions

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