IDEAS home Printed from https://ideas.repec.org/a/arh/jpopec/v4y2020i1p1-19.html
   My bibliography  Save this article

Poverty in the Russian Federation: possibilities and specifics of the use of the AROPE multi-criteria index in the poverty monitoring system of the Russian Federation

Author

Listed:
  • Marina A. Kartseva

    (RANEPA, Moscow, Russia)

Abstract

The article presents a comparative analysis of the level and structure of poverty of the Russian population using two different concepts of poverty definition — the absolute income criterion currently used by Rosstat, and the AROPE indicator of poverty and social exclusion. The paper also attempts to assess how the change of the methodology for determining poverty can affect the existence of the poverty status of individuals. The study is carried out both at a national level and at a federal district level. The empirical basis of the paper is selective observation of income of the population and participation in social programmes, conducted by Rosstat in 2017. The results show that in transition from the absolute income criterion to the multi-criteria AROPE index, the poverty level of the population of the Russian Federation significantly increases. The highest growth of poverty is among people over working age. The age structure of poverty also changes significantly. With AROPE, the proportion of older persons among the poor increases and the proportion of children decreases. It is also shown in the article that the transition from the current official methodology of poverty definition to the definition in accordance with AROPE's methodology can lead to loss of the poverty status by part of the population, which, in case of the official transition to using AROPE index as a criterion for receiving social support, can have a negative impact on their socio-economic situation. The obtained results vary significantly by federal districts of the Russian Federation.

Suggested Citation

  • Marina A. Kartseva, 2020. "Poverty in the Russian Federation: possibilities and specifics of the use of the AROPE multi-criteria index in the poverty monitoring system of the Russian Federation," Population and Economics, ARPHA Platform, vol. 4(1), pages 1-19, March.
    • Handle: RePEc:arh:jpopec:v:4:y:2020:i:1:p:1-19
    DOI: 10.3897/popecon.4.e50836
    as

    Download full text from publisher

    File URL: https://populationandeconomics.pensoft.net/article/50836/
    Download Restriction: no
    File URL: https://libkey.io/10.3897/popecon.4.e50836?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Udaya Wagle, 2008. "Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-75875-6, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel Nowak & Christoph Scheicher, 2017. "Considering the Extremely Poor: Multidimensional Poverty Measurement for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 139-162, August.
    2. Busch, Christopher & Peichl, Andreas, 2010. "The Development of Multidimensional Poverty in Germany 1985-2007," IZA Discussion Papers 4922, Institute of Labor Economics (IZA).
    3. M. Sirgy, 2011. "Theoretical Perspectives Guiding QOL Indicator Projects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 1-22, August.
    4. Dehury, Bidyadhar & Mohanty, Sanjay K., 2015. "Regional estimates of multidimensional poverty in India," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
    5. Gaël Giraud & Cécile Renouard & Hélène L'Huillier & Raphaële de La Martinière & Camille Sutter, 2012. "Relational Capability: A Multidimensional Approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00827690, HAL.
    6. Dalila De Rosa, 2018. "Capability Approach and Multidimensional Well-Being: The Italian Case of BES," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 125-155, November.
    7. Ravallion, Martin, 2012. "Poor, or just feeling poor ? on using subjective data in measuring poverty," Policy Research Working Paper Series 5968, The World Bank.
    8. Joachim Merz & Tim Rathjen, 2014. "Multidimensional time and income poverty: well-being gap and minimum 2DGAP poverty intensity – German evidence," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(4), pages 555-580, December.
    9. Udaya Wagle, 2016. "The Role of Remittances in Determining Economic Security and Poverty in Myanmar," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 28(4), pages 536-554, September.
    10. John Ataguba & William M. Fonta & Hyacinth E. Ichoku, 2011. "The Determinants of Multidimensional Poverty in Nsukka, Nigeria," Working Papers PMMA 2011-13, PEP-PMMA.
    11. 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.
    12. Khaufelo Raymond Lekobane, 2022. "Leaving No One Behind: An Individual-Level Approach to Measuring Multidimensional Poverty in Botswana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 179-208, July.
    13. Le, Ha & Nguyen, Cuong & Phung, Tung, 2014. "Multidimensional Poverty: First Evidence from Vietnam," MPRA Paper 64704, University Library of Munich, Germany.
    14. Mohanty, Sanjay K., 2010. "Multidimensional poverty and the state of child health in India," LSE Research Online Documents on Economics 38354, London School of Economics and Political Science, LSE Library.
    15. Olaf Erenstein, 2011. "Livelihood Assets as a Multidimensional Inverse Proxy for Poverty: A District-level Analysis of the Indian Indo-Gangetic Plains," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 12(2), pages 283-302.
    16. Sung-Geun Kim, 2015. "Fuzzy Multidimensional Poverty Measurement: An Analysis of Statistical Behaviors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(3), pages 635-667, February.
    17. Sanjay K Mohanty, 2011. "Multidimensional Poverty and Child Survival in India," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-14, October.
    18. Anton Michálek & Zuzana Veselovská, 2015. "Poverty Risk in Districts of the Slovak Republic," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(1), pages 67-83, October.
    19. Di Yang & Weixin Luan & Jun Yang & Bing Xue & Xiaoling Zhang & Hui Wang & Feng Pian, 2022. "The contribution of data-driven poverty alleviation funds in achieving mid-21st-Century multidimensional poverty alleviation planning," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    20. Duke, Esther Alice & Goldstein, Joshua H. & Teel, Tara L. & Finchum, Ryan & Huber-Stearns, Heidi & Pitty, Jorge & Rodríguez P., Gladys Beatriz & Rodríguez, Samuel & Sánchez, Luis Olmedo, 2014. "Payments for ecosystem services and landowner interest: Informing program design trade-offs in Western Panama," Ecological Economics, Elsevier, vol. 103(C), pages 44-55.

    More about this item

    Keywords

    poverty multicriteria poverty AROPE socially vulnerable categories federal districts of the Russian Federation;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arh:jpopec:v:4:y:2020:i:1:p:1-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Teodor Georgiev (email available below). General contact details of provider: https://populationandeconomics.pensoft.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.