IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2020i47p179-184.html
   My bibliography  Save this article

Social Inequality in Russia

Author

Listed:
  • Bobkov, V.

    (Institute of Socioeconomic Studies of Population, Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russia)

  • Odintsova, E.

    (Institute of Socioeconomic Studies of Population, Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russia)

Abstract

The article shows that the economic characteristics of inequality are part of a broader phenomenon - social inequality. The main areas of its manifestation are considered: by monetary income and wealth; current consumption of goods; access to housing and social infrastructure; as well as - in the spatial aspect; the standard of living and quality of life of urban and rural populations; sectoral aspect; age demographic groups; the use of digital technologies. Inequality was assessed and its high dimensions were reasoned, which is reflected in Russia's position in the group of countries with the highest level of inequality in income and wealth; in a tenfold gap in average consumer spending among ten percent of the most and least income groups of households; in more than tenfold differentiation in the number of citizens with housing poverty and high housing security; in the inaccessibility for half of College and University students to study at the expense of budget allocations; the gap in life expectancy at birth in the regions of the Russian Federation with the highest and lowest values of the indicator is 16 years. There is three to five times higher unemployment among young people compared to other groups of the economically active population, etc. The question is raised about the need to develop a national program to increase the real monetary income of the population, reduce poverty and inequality.

Suggested Citation

  • Bobkov, V. & Odintsova, E., 2020. "Social Inequality in Russia," Journal of the New Economic Association, New Economic Association, vol. 47(3), pages 179-184.
  • Handle: RePEc:nea:journl:y:2020:i:47:p:179-184
    DOI: 10.31737/2221-2264-2020-47-3-8
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2020-47-179-184r.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.31737/2221-2264-2020-47-3-8?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. Solt, Frederick, 2019. "Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database," SocArXiv mwnje, Center for Open Science.
    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. Christoph Dörffel & Sebastian Schuhmann, 2020. "What is Inclusive Development? Introducing the Multidimensional Inclusiveness Index," Jena Economics Research Papers 2020-015, Friedrich-Schiller-University Jena.
    2. El-Shagi, Makram & Fidrmuc, Jarko & Yamarik, Steven, 2020. "Inequality and credit growth in Russian regions," Economic Modelling, Elsevier, vol. 91(C), pages 550-558.
    3. Boehm, Hannes & Eichler, Stefan & Giessler, Stefan, 2021. "What drives the commodity-sovereign risk dependence in emerging market economies?," Journal of International Money and Finance, Elsevier, vol. 111(C).
    4. David E. Bloom & Victoria Y. Fan & Vadim Kufenko & Osondu Ogbuoji & Klaus Prettner & Gavin Yamey, 2021. "Going beyond GDP with a parsimonious indicator: inequality-adjusted healthy lifetime income," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 19(1), pages 127-140.
    5. Dávila-Fernández, Marwil J. & Punzo, Lionello F., 2021. "The Kuznets curve of the rich," Economic Systems, Elsevier, vol. 45(4).
    6. Pi, Jiancai & Zhang, Pengqing, 2021. "Redistribution and wage inequality," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 510-523.
    7. Kim, Hyoungjong & Rhee, Dong-Eun, 2022. "The effects of asset prices on income inequality: Redistribution policy does matter," Economic Modelling, Elsevier, vol. 113(C).
    8. Leopoldo Cabrera & Gustavo A. Marrero & Juan Gabriel Rodríguez & Pedro Salas-Rojo, 2021. "Inequality of Opportunity in Spain: New Insights from New Data," Hacienda Pública Española / Review of Public Economics, IEF, vol. 237(2), pages 153-185, June.
    9. Berggren, Niclas & Nilsson, Therese, 2021. "Economic freedom and antisemitism," Journal of Institutional Economics, Cambridge University Press, vol. 17(2), pages 289-304, April.
    10. Öztürk, Gamze & Yetkiner, Hakan & Özden, Elif, 2020. "Macroeconomic determinants of antidepressant use," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1394-1407.
    11. Dante Souza Cardoso & Laura Barbosa de Carvalho, 2023. "Effects of fiscal consolidation on income inequality: narrative evidence from South America," Empirical Economics, Springer, vol. 64(3), pages 1177-1218, March.
    12. Ignacio Campomanes, 2022. "Inequality and Growth: How Social Mobility Reshapes The Main Theoretical Channels," Working Papers 599, ECINEQ, Society for the Study of Economic Inequality.
    13. Reda Cherif & Fuad Hasanov & Philippe Aghion, 2023. "Fair and inclusive markets: Why dynamism matters," Global Policy, London School of Economics and Political Science, vol. 14(5), pages 686-701, November.
    14. Joshua Aizenman & Hiro Ito, 2020. "The Political-Economy Trilemma," Open Economies Review, Springer, vol. 31(5), pages 945-975, November.
    15. Izaskun Zuazu, 2022. "Electoral systems and income inequality: a tale of political equality," Empirical Economics, Springer, vol. 63(2), pages 793-819, August.
    16. Gnangnon, Sèna Kimm, 2020. "Aid for Trade flows and Poverty Reduction in Recipient-Countries," EconStor Preprints 213807, ZBW - Leibniz Information Centre for Economics.
    17. Carpa, Nur & Martínez-Zarzoso, Inmaculada, 2022. "The impact of global value chain participation on income inequality," International Economics, Elsevier, vol. 169(C), pages 269-290.
    18. Anna Samarina & Anh D.M. Nguyen, 2024. "Does Monetary Policy Affect Income Inequality in the Euro Area?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 35-80, February.
    19. Josef Ringqvist, 2021. "How do union membership, union density and institutionalization affect perceptions of conflict between management and workers?," European Journal of Industrial Relations, , vol. 27(2), pages 131-148, June.
    20. Zabsonre Zacharia & Boukary Ouedraogo, 2023. "Influence of tax structures on income inequality in WAEMU countries [Influences des structures fiscales sur l'inégalité de revenus dans les pays de l'UEMOA]," Post-Print hal-04188709, HAL.

    More about this item

    Keywords

    economic inequality; social inequality; high inequality; poverty; real monetary income; program to reduce poverty and inequality;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:nea:journl:y:2020:i:47:p:179-184. 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: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.html .

    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.