IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v115y2018p8328-8333.html
   My bibliography  Save this article

Future population and human capital in heterogeneous India

Author

Listed:
  • Samir KC

    (Asian Demographic Research Institute, Shanghai University, Shanghai, 200444, China; Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria)

  • Marcus Wurzer

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria)

  • Markus Speringer

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria)

  • Wolfgang Lutz

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria)

Abstract

Within the next decade India is expected to surpass China as the world’s most populous country due to still higher fertility and a younger population. Around 2025 each country will be home to around 1.5 billion people. India is demographically very heterogeneous with some rural illiterate populations still having more than four children on average while educated urban women have fewer than 1.5 children and with great differences between states. We show that the population outlook greatly depends on the degree to which this heterogeneity is explicitly incorporated into the population projection model used. The conventional projection model, considering only the age and sex structures of the population at the national level, results in a lower projected population than the same model applied at the level of states because over time the high-fertility states gain more weight, thus applying the higher rates to more people. The opposite outcome results from an explicit consideration of education differentials because over time the proportion of more educated women with lower fertility increases, thus leading to lower predicted growth than in the conventional model. To comprehensively address this issue, we develop a five-dimensional model of India’s population by state, rural/urban place of residence, age, sex, and level of education and show the impacts of different degrees of aggregation. We also provide human capital scenarios for all Indian states that suggest that India will rapidly catch up with other more developed countries in Asia if the recent pace of education expansion is maintained.

Suggested Citation

  • Samir KC & Marcus Wurzer & Markus Speringer & Wolfgang Lutz, 2018. "Future population and human capital in heterogeneous India," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(33), pages 8328-8333, August.
  • Handle: RePEc:nas:journl:v:115:y:2018:p:8328-8333
    as

    Download full text from publisher

    File URL: http://www.pnas.org/content/115/33/8328.full
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Asjad Naqvi & Franziska Gaupp & Stefan Hochrainer-Stigler, 2020. "The risk and consequences of multiple breadbasket failures: an integrated copula and multilayer agent-based modeling approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 727-754, September.
    2. Philip Rees, 2018. "Education and demography: a review of world population and human capital in the 21st century," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 16(1), pages 037-053.
    3. Bikram Pratim Bhuyan & Ravi Tomar & T. P. Singh & Amar Ramdane Cherif, 2022. "Crop Type Prediction: A Statistical and Machine Learning Approach," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    4. Fengqing Chao & Christophe Z Guilmoto & Samir K. C. & Hernando Ombao, 2020. "Probabilistic projection of the sex ratio at birth and missing female births by State and Union Territory in India," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    5. Raphael Karutz & Christian J. A. Klassert & Sigrun Kabisch, 2023. "On Farmland and Floodplains—Modeling Urban Growth Impacts Based on Global Population Scenarios in Pune, India," Land, MDPI, vol. 12(5), pages 1-21, May.
    6. Erich Striessnig & Jayanta Kumar Bora, 2019. "Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts," VID Working Papers 1903, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    7. Yeqi An & Yulin Zhou & Rongrong Li, 2019. "Forecasting India’s Electricity Demand Using a Range of Probabilistic Methods," Energies, MDPI, vol. 12(13), pages 1-24, July.
    8. Muhammad Asif Wazir & Anne Goujon, 2019. "Assessing the 2017 Census of Pakistan Using Demographic Analysis: A Sub-National Perspective," VID Working Papers 1906, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.

    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:nas:journl:v:115:y:2018:p:8328-8333. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Eric Cain (email available below). General contact details of provider: http://www.pnas.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.