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Measuring multidimensional poverty within the resource-based approach: a case study of Latgale region, Latvia


  • Vladimir Menshikov

    (Daugavpils University, Latvia)

  • Irena Kokina

    (Daugavpils University, Latvia)

  • Vera Komarova

    (Daugavpils University, Latvia)

  • Oksana Ruza

    (Daugavpils University, Latvia)

  • Alina Danileviča

    (Daugavpils University, Latvia)


In modern social science, the concept of multidimensional poverty is considered the most progressive approach to measuring poverty in countries of various development levels, including the developed ones. As an indicator of poverty in the EU, the multidimensional index of the risk of poverty and social exclusion (AROPE) is used, which integrates the indicators of income poverty, material deprivation and exclusion from the labour market. The empirical basis for its calculation is the data of the survey “Statistics of income and living conditions in the EU” (EU-SILC), published by the statistical office of the European Union. Within the framework of this article, the authors tried to contribute to the theoretical and methodological basis for studying the issue of multidimensional poverty by measuring and analysing it within the framework of the resource approach using the empirical data collected by the authors in one of the peripheral regions of Latvia - Latgale, which for many years has had the lowest indicators of economic development in the country. The resource-based approach is founded on the following methodological path: resources available for the people and households can be transformed into capital as a result of its activation and capitalization that, in its turn, can give the person socially economic benefit, i.e., a resource becomes a capital. The methodology of this study involves the application of new concepts: the “resource-poor” (few resources) and the “functional-poor” (low capitalization of available resources), as well as the “resource-functional poor”, who, according to the authors, represent different target groups for the social policy, since they fundamentally differ in terms of both the causes of poverty and the approaches to supporting these groups.

Suggested Citation

  • Vladimir Menshikov & Irena Kokina & Vera Komarova & Oksana Ruza & Alina Danileviča, 2020. "Measuring multidimensional poverty within the resource-based approach: a case study of Latgale region, Latvia," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 1211-1227, December.
  • Handle: RePEc:ssi:jouesi:v:8:y:2020:i:2:p:1211-1227
    DOI: 10.9770/jesi.2020.8.2(72)

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    References listed on IDEAS

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    5. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2015. "Comparative measures of multidimensional deprivation in the European Union," Empirical Economics, Springer, vol. 49(3), pages 1071-1100, November.
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    9. Nanak Kakwani & Jacques Silber (ed.), 2008. "Quantitative Approaches to Multidimensional Poverty Measurement," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-58235-4, September.
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    More about this item


    multidimensional poverty; resource-based approach; Latgale region; resource-poor; functional-poor; resource-functional poor;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty


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