Evidence map›Paper›PMID 30061391›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Future population and human capital in heterogeneous India.

Samir Kc, Marcus Wurzer, Markus Speringer, Wolfgang Lutz

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
25.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  12. Anaplastic Cancer: Our Experience.Indian journal of surgical oncology · 2022
    Article
  13. Review
  14. Education's role in China's demographic future.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Article
  16. Article
  17. Stalls in Africa's fertility decline partly result from disruptions in female education.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Future population and human capital in heterogeneous India.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Samir KcAsian Demographic Research Institute, Shanghai University, Shanghai, 200444, China; kcsamir@gmail.com lutz@iiasa.ac.at.
Marcus WurzerWittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria.
Markus SperingerWittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria.
Wolfgang LutzWittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, WU), International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria kcsamir@gmail.com lutz@iiasa.ac.at.
International Institute for Applied Systems Analysis · ATShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Population GrowthEducational StatusFamily Planning ServicesFemaleFertilityHumansIndiaMaleheterogeneityhuman capitalIndiapopulation projectionssubnational

Identifiers

PMID30061391
PMCPMC6099904
OpenAlexW2886783720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.