IDEAS home Printed from https://ideas.repec.org/p/pas/asarcc/2011-14.html
   My bibliography  Save this paper

India's Gender Bias in Child Population, Female Education and Growing Prosperity: 1951–2011 with Projections to 2026

Author

Listed:
  • D.P. Chaudhri
  • Raghbendra Jha

Abstract

Using Census and NSS data this paper studies the evolution of Gender Bias (GB) in the age group 0–6 in India and its association with education and higher prosperity. GB is pervasive and has grown over time with higher prosperity and resultant demographic transition and enhanced education. The number of children in the age group 0–14 peaked in 2001 and has, since, been falling. Even as the under 5 mortality rate has fallen from 240.1 per thousand in the 1961 census to 65.6 in 2011, the total fertility rate (TFR) has experienced an equally sharp decline from 6.1 in 1961 to 2.6 in 2011. That large household size (associated with high fertility rates and low Monthly per capita expenditure (MPCE)) is linked with low GB comes as no surprise. However, with higher prosperity and lower TFR GB rises sharply. The percentage difference in GB in successive time periods fell from 0.3 in 1951 to 0.1 in 1961 but accelerated to 1.9 in 2011. GB is higher in the age group 0–4 than in the 0–6 group. GB has actually improved for the age group 10–14 but this fact is irrelevant for the evolution of GB in children since children in that age group will soon be adults. Hence, the outlook for GB in the age group 0–6 appears bleak at least until 2026. The paper also demonstrates that there are wide variations in GB across various states, even districts, of India. In 2011 child population is still high in the EAG states whereas the growth of child population has come down substantially in some states, particularly some southern states and Himachal Pradesh. At the district level we discover that the education of girls is an important determinant of GB. At the household level both improved education of females in the age group 15–49 and higher prosperity lead to worsening of GB. However, at high values of the interaction of these two variables there could be a turnaround in the trend of worsening GB. At present trends, however, this is unlikely to happen at least until 2026. More positive outcomes require social engineering through multidimentional, orchestrated policies, especially in relation to enhanced prosperity and education of women in the child bearing age group. Improvements in GB are discernable in some districts, states and households. In 55 districts GB declined and proportion of girls attending schools increased. Kerala and Tamil Nadu did not have any worsening of GB while GB declined in Himachal Pradesh. Finally, prosperity improved GB among Scheduled Castes, Scheduled Tribes and Muslims, and households having women in child bearing age group with graduate degrees.

Suggested Citation

  • D.P. Chaudhri & Raghbendra Jha, 2011. "India's Gender Bias in Child Population, Female Education and Growing Prosperity: 1951–2011 with Projections to 2026," ASARC Working Papers 2011-14, The Australian National University, Australia South Asia Research Centre.
  • Handle: RePEc:pas:asarcc:2011-14
    as

    Download full text from publisher

    File URL: https://crawford.anu.edu.au/acde/asarc/pdf/papers/2011/WP2011_14.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. D.P. Chaudhri & Raghbendra Jha, 2011. "Child Poverty and Compulsory Elementary Education in India: Policy Insights from Household Data Analysis," ASARC Working Papers 2011-04, The Australian National University, Australia South Asia Research Centre.
    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. D.P. Chaudhri & Raghbendra Jha, 2011. "Child Poverty, Demographic Transition and Gender Bias in Education in India: Household Data Analysis (1993–94 and 2004–05)," ASARC Working Papers 2011-17, The Australian National University, Australia South Asia Research Centre.
    2. Saswati Das, 2016. "Inequality in Educational Opportunity in India: Evidence and Consequence of Social Exclusion," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(1), pages 51-71, March.
    3. D.P. Chaudhri & Raghbendra Jha, 2013. "India's gender bias in child population, female education and growing prosperity: 1951--2011," International Review of Applied Economics, Taylor & Francis Journals, vol. 27(1), pages 23-43, January.
    4. Datta, Soumyendra Kishore & Singh, Krishna, 2016. "Analysis of child deprivation in India: Focus on health and educational perspectives," Economic Analysis and Policy, Elsevier, vol. 50(C), pages 120-130.
    5. Debdulal Thakur & Shrabani Mukherjee, 2016. "Parents’ Choice Function for Wards’ School Continuation in Rural India: A Case Study in West Bengal," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 10(1), pages 119-142, February.

    More about this item

    Keywords

    Gender Bias; Census; National Sample Survey; Demographic Transition; India;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pas:asarcc:2011-14. 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: Raghbendra Jha (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.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.