IDEAS home Printed from https://ideas.repec.org/a/ris/joeasd/0130.html
   My bibliography  Save this article

Assessment Of Inter-Regional Convergence In The Social Welfare Based On The A. Sen Function: Russian Case Study

Author

Listed:
  • Marina Malkina

    (Lobachevsky State University of Nizhni Novgorod, Russia)

Abstract

The aim of this study is estimation of social welfare in Russian regions in 2004-2014 based on the A. Sen abbreviated function, the assessment of regions convergence in welfare and factors contributing to it. We adjusted the A. Sen welfare function by the cost of living in regions and presented it as a four-factor multiplicative model. By use of the coefficient of variation (CV) we estimated the inter-regional inequality in welfare in statics and dynamics. The technique of decomposition of the squared CV for logarithm of welfare function enabled us to evaluate the contribution of main and intersect factors to Russian regions' convergence in welfare. As a result we assessed Russian regions social welfare in dynamics and evaluated factors contributing to its growth. Based on the weighted CV we discovered the negative impact of the recession of 2009 on the regions convergence in welfare, and unweighted CV even more revealed the turning point in the convergence tendency occurring in 2012. We discovered that in statics the redistributive factor makes the greatest and increasing contribution to inter-regional convergence in welfare, whilst the cost of living and intraregional income inequality factors have moderate and decreasing influence on it. The dynamic analysis revealed two factors predominantly contributing to regions' temporal convergence in welfare, namely growing convergence in GRP per capita and significant but unstable influence of distributive factor. Two other factors, the cost of living and intra-regional income inequality, counteracted to temporal convergence mainly due to attenuation of their negative correlation to nominal and real income per capita respectively. The results obtained may be applicable to both inter-budgetary and regional policy development.

Suggested Citation

  • Marina Malkina, 2017. "Assessment Of Inter-Regional Convergence In The Social Welfare Based On The A. Sen Function: Russian Case Study," Journal of Economic and Social Development, Clinical Journals Press, vol. 4(01), pages 01-11.
    • Handle: RePEc:ris:joeasd:0130
    as

    Download full text from publisher

    File URL: https://www.jesd-online.com/dokumenti/upload/separated/Vol%204%20No%201_Paper5.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrade, Daniel Caixeta & Garcia, Junior Ruiz, 2015. "Estimating the Genuine Progress Indicator (GPI) for Brazil from 1970 to 2010," Ecological Economics, Elsevier, vol. 118(C), pages 49-56.
    2. Marco Grasso & Luciano Canova, 2008. "An Assessment of the Quality of Life in the European Union Based on the Social Indicators Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 87(1), pages 1-25, May.
    3. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    4. repec:bla:econom:v:72:y:2005:i:3:p:375-396 is not listed on IDEAS
    5. Dagum, Camilo, 1990. "On the relationship between income inequality measures and social welfare functions," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 91-102.
    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. Marina Malkina, 2017. "Social Well-Being of the Russian Federation Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 49-62.
    2. Camacho Cuena, Eva & Neugebauer, Tibor & Seidl, Christian, 2005. "Compensating justice beats leaky buckets: an experimental investigation," Economics Working Papers 2005-06, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Carola Grün & Stephan Klasen, 2001. "Growth, income distribution and well‐being in transition countries," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 9(2), pages 359-394, July.
    4. Carola Grün & Stephan Klasen, 2003. "Growth, Income Distribution, and Well-Being: Comparisons across Space and Time," CESifo Working Paper Series 837, CESifo.
    5. Yoram Amiel & Frank A Cowell, 1997. "Inequality, Welfare and Monotonicity," STICERD - Distributional Analysis Research Programme Papers 29, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Anwar Shaikh & Amr Ragab, 2023. "Some universal patterns in income distribution: An econophysics approach," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 248-264, February.
    7. Gruen, Carola & Klasen, Stephan, 2012. "Has transition improved well-being?," Economic Systems, Elsevier, vol. 36(1), pages 11-30.
    8. Stephan Klasen, 2008. "The Efficiency of Equity," Review of Political Economy, Taylor & Francis Journals, vol. 20(2), pages 257-274.
    9. Creedy, John, 2021. "Distributional Comparisons Using the Gini Inequality Measure," Working Paper Series 9471, Victoria University of Wellington, Chair in Public Finance.
    10. Paul Koster, 2023. "Urban income inequality and social welfare," Tinbergen Institute Discussion Papers 23-009/VIII, Tinbergen Institute.
    11. Satya R. Chakravarty, 2009. "Equity and efficiency as components of a social welfare function," International Journal of Economic Theory, The International Society for Economic Theory, vol. 5(2), pages 181-199, June.
    12. Koster, Paul R., 2025. "Income inequality and social welfare: Implications for the indirect effects of transport policies," Transport Policy, Elsevier, vol. 168(C), pages 182-197.
    13. Ramses H. Abul Naga, 2005. "Social Welfare Orderings: A Life‐Cycle Perspective," Economica, London School of Economics and Political Science, vol. 72(287), pages 497-514, August.
    14. Camacho Cuena, Eva & Neugebauer, Tibor & Seidl, Christian, 2004. "Leaky bucket Paradoxes in income inequality perceptions: an experimental investigation," Economics Working Papers 2004-04, Christian-Albrechts-University of Kiel, Department of Economics.
    15. John Creedy, 2023. "Distributional Comparisons Using the Gini Inequality Measure," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(4), pages 538-550, December.
    16. John Creedy & S. Subramanian, 2023. "Exploring A New Class of Inequality Measures and Associated Value Judgements: Gini and Fibonacci-Type Sequences," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 110-131, May.
    17. Neves Costa, Rita & Pérez-Duarte, Sébastien, 2019. "Not all inequality measures were created equal - The measurement of wealth inequality, its decompositions, and an application to European household wealth," Statistics Paper Series 31, European Central Bank.
    18. Victoria Danaan, 2018. "Analysing Poverty in Nigeria through Theoretical Lenses," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 11(1), pages 1-20, January.
    19. Francisco Salas-Molina & Filippo Bistaffa & Juan A. Rodriguez-Aguilar, 2024. "A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical Principles," Papers 2401.07818, arXiv.org, revised Mar 2024.
    20. Ashantha Ranasinghe & Xuejuan Su, 2023. "When social assistance meets market power: A mixed duopoly view of health insurance in the United States," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 851-869, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists

    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:ris:joeasd:0130. 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: Marijan Cingula (email available below). General contact details of provider: http://www.eclinicalsci.org/ .

    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.