IDEAS home Printed from https://ideas.repec.org/a/spr/apjors/v5y2021i2d10.1007_s41685-020-00184-2.html
   My bibliography  Save this article

Economic inequality by age and its implications for inequity for living generations in India: evidence based on National Transfer Accounts

Author

Listed:
  • M. R. Narayana

    (Government of Karnataka)

Abstract

Using the framework of National Transfer Accounts (NTA), this paper calculates the economic inequalities by age and analyses its implications of inequity for the living generations in India. Economic inequality is measured by the standard Gini coefficient using household consumption and labour income data from the official national sample surveys. Inequity for the living generations is measured by the NTA’s concept of Lifecycle Deficit for four age groups (Young, Youth, Adults and Elderly). To highlight the nature and magnitude of inequity by types of economic inequalities and years, both income and consumption inequalities are calculated by age for financial year 2004–2005 and 2011–2012. Economic inequalities by age are integrated into the inequities for the living generations by modifying the Sen’s measure of inequality-discounted per capita income. Main results show that higher inequalities result in larger and differential impacts on inequity of the living generations. In particular, the income inequality has a larger effect on increasing inequity than consumption inequality. These results offer unambiguous evidence for the age-specific inequality effects on inequity in the living generations and show important implications in India’s policies for design of broader and complementary distributional objectives in terms of simultaneous reduction in economic inequalities and inequities for the living generations. Subject to comparability of socio-economic structure in a generational economy like India, the methodology and implications of this paper are of general relevance and applicability for developing countries in the Asia–Pacific Region and elsewhere in the world.

Suggested Citation

  • M. R. Narayana, 2021. "Economic inequality by age and its implications for inequity for living generations in India: evidence based on National Transfer Accounts," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 373-396, June.
  • Handle: RePEc:spr:apjors:v:5:y:2021:i:2:d:10.1007_s41685-020-00184-2
    DOI: 10.1007/s41685-020-00184-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41685-020-00184-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41685-020-00184-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. World Bank & International Monetary Fund, 2016. "Global Monitoring Report 2015/2016," World Bank Publications - Books, The World Bank Group, number 22547.
    2. Ladusingh, Laishram & Narayana, M. R., 2011. "Demographic Dividends for India: Evidence and Implications Based on National Transfer Accounts," ADB Economics Working Paper Series 292, Asian Development Bank.
    3. Narayan,Ambar & Murgai,Rinku, 2016. "Looking back on two decades of poverty and well-being in India," Policy Research Working Paper Series 7626, The World Bank.
    4. Himanshu, 2019. "Inequality in India: A review of levels and trends," WIDER Working Paper Series wp-2019-42, World Institute for Development Economic Research (UNU-WIDER).
    5. Gradín, Carlos & Wu, Binbin, 2020. "Income and consumption inequality in China: A comparative approach with India," China Economic Review, Elsevier, vol. 62(C).
    6. Ronald Lee & Andrew Mason (ed.), 2011. "Population Aging and the Generational Economy," Books, Edward Elgar Publishing, number 13816.
    7. Wang, Feng & Shen, Ke & Cai, Yong, 2019. "Expansion of public transfers in China: Who are the beneficiaries?," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    8. Cruz, Marcio & Ahmed, S. Amer, 2018. "On the impact of demographic change on economic growth and poverty," World Development, Elsevier, vol. 105(C), pages 95-106.
    9. Lerman, Robert I & Yitzhaki, Shlomo, 1985. "Income Inequality Effects by Income," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 151-156, February.
    10. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
    11. Sabyasachi Tripathi & Komali Yenneti, 2020. "Measurement of Multidimensional Poverty in India: A State-level Analysis," Indian Journal of Human Development, , vol. 14(2), pages 257-274, August.
    12. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
    13. Qin, Yongsong & Rao, J.N.K. & Wu, Changbao, 2010. "Empirical likelihood confidence intervals for the Gini measure of income inequality," Economic Modelling, Elsevier, vol. 27(6), pages 1429-1435, November.
    14. Morné Oosthuizen, 2019. "Inequality and the generational economy: Race-disaggregated National Transfer Accounts for South Africa, 2015," WIDER Working Paper Series wp-2019-24, World Institute for Development Economic Research (UNU-WIDER).
    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. Tushar Agrawal & Ankush Agrawal, 2023. "Beyond Consumption Expenditure: Income Inequality and Its Sources in India," Progress in Development Studies, , vol. 23(1), pages 7-27, January.
    2. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    3. Rashida Haq, 1999. "Income Inequality and Economic Welfare. A Decomposition Analysis for the Household Sector in Pakistan," PIDE-Working Papers 1999:170, Pakistan Institute of Development Economics.
    4. Jonathan Morduch & Terry Sicular, 2002. "Rethinking Inequality Decomposition, With Evidence from Rural China," Economic Journal, Royal Economic Society, vol. 112(476), pages 93-106, January.
    5. Ahmed, S. Amer & Vargas Da Cruz,Marcio Jose & Quillin,Bryce Ramsey & Schellekens,Philip, 2016. "Demographic change and development : a global typology," Policy Research Working Paper Series 7893, The World Bank.
    6. Nicolas Gravel & Abhiroop Mukhopadhyay, 2010. "Is India better off today than 15 years ago? A robust multidimensional answer," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 173-195, June.
    7. Wodon, Quentin & Yitzhaki, Shlomo, 2002. "Inequality and Social Welfare," MPRA Paper 12298, University Library of Munich, Germany.
    8. Stéphane Mussard & Michel Terraza, 2009. "Décompositions des mesures d'inégalité : le cas des coefficients de Gini et d'entropie," Recherches économiques de Louvain, De Boeck Université, vol. 75(2), pages 151-181.
    9. Wodon, Quentin & Yitzhaki, Shlomo, 2002. "Inégalité et bien-être social [Inequality and Social Welfare]," MPRA Paper 10488, University Library of Munich, Germany.
    10. Timm Bönke & Giacomo Corneo & Holger Lüthen, 2015. "Lifetime Earnings Inequality in Germany," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 171-208.
    11. Akli Berri, 2009. "Transport consumption inequalities and redistributive effects of taxes: A repeated cross-sectional evaluation on French household data," Working Papers 145, ECINEQ, Society for the Study of Economic Inequality.
    12. Wodon, Quentin & Yitzhaki, Shlomo, 2002. "Неравенство И Общественное Благосостояние [Inequality and Social Welfare]," MPRA Paper 10489, University Library of Munich, Germany.
    13. Kanbur, Ravi, 2013. "Economic Inequality and Economic Development: Lessons and Implications of Global Experiences for the Arab World," Working Papers 180077, Cornell University, Department of Applied Economics and Management.
    14. Peter Levell & Barra Roantree & Jonathan Shaw, 2015. "Redistribution from a lifetime perspective," IFS Working Papers W15/27, Institute for Fiscal Studies.
    15. Hisham S. El-Osta, 2020. "Life-Cycle and Its Impact on the Disparity in Economic Well-Being among U.S. Sole Proprietor Households: Evidence from Two National Surveys," Applied Economics and Finance, Redfame publishing, vol. 7(1), pages 1-14, January.
    16. Sabyasachi Tripathi, 2017. "Source of Inequality in Consumption Expenditure in India: A Regression Based Inequality Decomposition Analysis," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-34, March.
    17. M. Narayana, 2015. "India’s Age Structure Transition, Sectoral Labor Productivities, and Economic Growth: Evidence and Implications Based on National Transfer Accounts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(3), pages 381-415, June.
    18. David Madden, 1996. "Sources of Income Inequality in Ireland," Working Papers 199615, School of Economics, University College Dublin.
    19. Utpal Kumar De & Loitongbam Hena Devi, 2023. "Inequality Dynamics in Urban Manipur, India: A Decomposition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 67-89, June.
    20. Wodon, Quentin & Yitzhaki, Shlomo, 2002. "Desigualdad y bienestar social [Inequality and Social Welfare]," MPRA Paper 10487, University Library of Munich, Germany.

    More about this item

    Keywords

    Living generations; Inequity; Lifecycle deficit; National transfer accounts; Income inequality; Consumption inequality; Gini coefficient;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • 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:spr:apjors:v:5:y:2021:i:2:d:10.1007_s41685-020-00184-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.