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The Monetary and Non-Monetary Aspects of Poverty in Poland and Slovakia

Author

Listed:
  • Paweł Ulman

    (Cracow University of Economics)

  • Erik Šoltés

    (University of Economics in Bratislava)

Abstract

The purpose of this paper is to present the level of poverty risk of households in Polish and Slovak society in two aspects: monetary and non-monetary. In this study, to evaluate poverty risk in these dimensions, there were used estimated values of the poverty risk function for each household in an integrated, relative and fuzzy approach. This feature has been calibrated to reflect the overall results of the assessment of poverty in the classical approach using relative and subjective methods of determining the poverty line. The research found that there were differences in poverty risk both within national communities and the studied countries. Such two-way diversity of impoverishment was observed primarily in the classification of households due to the demographic composition of the household. There is a need for a broader study of diversity i.a. the structure of poverty, its level, dynamics and factors determining it in both countries. This wide research project may help to answer the question of changes in the evolution of poverty in Slovakia after its accession to the Eurozone, which is extremely important in the context of the Polish accession to the zone. The originality of the work is manifested primarily in a comparative study of poverty risk for communities of the two countries: Poland and Slovakia, which allowed observing differences in the risk in a cross-country system.

Suggested Citation

  • Paweł Ulman & Erik Šoltés, 2015. "The Monetary and Non-Monetary Aspects of Poverty in Poland and Slovakia," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 3(1), pages 61-73.
  • Handle: RePEc:krk:eberjl:v:3:y:2015:i:1:p:61-73
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    References listed on IDEAS

    as
    1. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    2. Foster, James E, 1998. "Absolute versus Relative Poverty," American Economic Review, American Economic Association, vol. 88(2), pages 335-341, May.
    3. Sreenivasan Subramanian, 2004. "Indicators of Inequality and Poverty," WIDER Working Paper Series RP2004-25, World Institute for Development Economic Research (UNU-WIDER).
    4. Meghnad Desai, 1995. "Poverty, Famine And Economic Development," Books, Edward Elgar Publishing, number 134.
    5. Ravallion, Martin, 2012. "Poor, or just feeling poor ? on using subjective data in measuring poverty," Policy Research Working Paper Series 5968, The World Bank.
    6. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
    7. Theo Goedhart & Victor Halberstadt & Arie Kapteyn & Bernard van Praag, 1977. "The Poverty Line: Concept and Measurement," Journal of Human Resources, University of Wisconsin Press, vol. 12(4), pages 503-520.
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    Cited by:

    1. Gawlik, Remigiusz, 2016. "Encompassing the Work-Life Balance into Early Career Decision-Making of Future Employees Through the Analytic Hierarchy Process," MPRA Paper 80260, University Library of Munich, Germany.
    2. Remigiusz Gawlik & Gorm Jacobsen, 2016. "Work-life Balance Decision-making of Norwegian Students: Implications for Human Resources Management," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(4), pages 153-170.

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    More about this item

    Keywords

    poverty; poverty measurement; low income; multidimensional and fuzzy approach; comparative analysis;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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