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Future population and human capital in heterogeneous India
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 population...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099904/ https://www.ncbi.nlm.nih.gov/pubmed/30061391 http://dx.doi.org/10.1073/pnas.1722359115 |
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author | KC, Samir Wurzer, Marcus Speringer, Markus Lutz, Wolfgang |
author_facet | KC, Samir Wurzer, Marcus Speringer, Markus Lutz, Wolfgang |
author_sort | KC, Samir |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6099904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-60999042018-08-21 Future population and human capital in heterogeneous India KC, Samir Wurzer, Marcus Speringer, Markus Lutz, Wolfgang Proc Natl Acad Sci U S A Social Sciences 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. National Academy of Sciences 2018-08-14 2018-07-30 /pmc/articles/PMC6099904/ /pubmed/30061391 http://dx.doi.org/10.1073/pnas.1722359115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences KC, Samir Wurzer, Marcus Speringer, Markus Lutz, Wolfgang Future population and human capital in heterogeneous India |
title | Future population and human capital in heterogeneous India |
title_full | Future population and human capital in heterogeneous India |
title_fullStr | Future population and human capital in heterogeneous India |
title_full_unstemmed | Future population and human capital in heterogeneous India |
title_short | Future population and human capital in heterogeneous India |
title_sort | future population and human capital in heterogeneous india |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099904/ https://www.ncbi.nlm.nih.gov/pubmed/30061391 http://dx.doi.org/10.1073/pnas.1722359115 |
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