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:
  • Malkina, Marina

    (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

  • Malkina, Marina, 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, March.
    • 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. repec:bla:econom:v:72:y:2005:i:3:p:375-396 is not listed on IDEAS
    4. 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. Casilda Lasso de la Vega & Christian Seidl, 2007. "The Impossibility of a Just Pigouvian," Working Papers 69, ECINEQ, Society for the Study of Economic Inequality.
    3. Man Liang & Shuwen Niu & Zhen Li & Wenli Qiang, 2019. "International Comparison of Human Development Index Corrected by Greenness and Fairness Indicators and Policy Implications for China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 1-24, February.
    4. 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.
    5. Carola Grün & Stephan Klasen, 2003. "Growth, Income Distribution, and Well-Being: Comparisons across Space and Time," CESifo Working Paper Series 837, CESifo.
    6. Seokcheon Lee, 2017. "A new preparedness policy for EMS logistics," Health Care Management Science, Springer, vol. 20(1), pages 105-114, March.
    7. Giovanni Giorgi & Stefania Gubbiotti, 2015. "On Corrado Gini’s 1932 paper “Intorno alle curve di concentrazione”. A selection of translated excerpts," METRON, Springer;Sapienza Università di Roma, vol. 73(1), pages 1-24, April.
    8. Udo Ebert, 2007. "Ethical inequality measures and the redistribution of income when needs differ," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(3), pages 263-278, December.
    9. Luhua Wu & Shijie Wang & Xiaoyong Bai & Guangjie Luo & Jinfeng Wang & Fei Chen & Chaojun Li & Chen Ran & Sirui Zhang, 2022. "Accelerating the Improvement of Human Well-Being in China through Economic Growth and Policy Adjustment," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    10. Wan, Guang Hua, 2001. "Changes in regional inequality in rural China: decomposing the Gini index by income sources," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(3), pages 1-21.
    11. José Luis García-Lapresta & Casilda Lasso de la Vega & Ricardo Alberto Marques Pereira & Ana Marta Urrutia, 2010. "A class of poverty measures induced by the dual decomposition of aggregation functions," Working Papers 160, ECINEQ, Society for the Study of Economic Inequality.
    12. Monti Maria Giovanna & Pellegrino Simone & Vernizzi Achille, 2024. "The Zenga Index Reveals More Than the Gini and the Bonferroni Indexes. An Analysis of Distributional Changes and Social Welfare Levels," Working papers 084, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    13. Jerzy Michalek & Nana Zarnekow, 2012. "Application of the Rural Development Index to Analysis of Rural Regions in Poland and Slovakia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 1-37, January.
    14. Gruen, Carola & Klasen, Stephan, 2012. "Has transition improved well-being?," Economic Systems, Elsevier, vol. 36(1), pages 11-30.
    15. Natalia Molina Cetrulo & Tiago Balieiro Cetrulo & Sylmara Lopes Francelino Goncalves-Dias & Rodrigo Martins Moreira, 2018. "Waste Management and Sustainability: Indicators under Ecological Economy Perspective," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 8(1), pages 20-30, March.
    16. Stephan Klasen, 2008. "The Efficiency of Equity," Review of Political Economy, Taylor & Francis Journals, vol. 20(2), pages 257-274.
    17. Paul Koster, 2023. "Urban income inequality and social welfare," Tinbergen Institute Discussion Papers 23-009/VIII, Tinbergen Institute.
    18. Ewa Aksman, 2008. "Wpływ podatku dochodowego od osób fizycznych w Polsce na dobrobyt społeczny," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1-2, pages 77-90.
    19. Katia Iglesias & Christian Suter & Tugce Beycan & B. P. Vani, 2017. "Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 847-875, December.
    20. Fan, Jing-Li & Li, Kai & Zhang, Xian & Hu, Jiawei & Hubacek, Klaus & Da, Yabin & Liang, Xi & Cheng, Danyang, 2022. "Measuring sustainability: Development and application of the Inclusive Wealth Index in China," Ecological Economics, Elsevier, vol. 195(C).

    More about this item

    Keywords

    Abbreviated functions; Convergence; Decomposition; Factors; Inequality; Region; Coefficient of Variation; Welfare;
    All these 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.