Evidence map›Paper›PMID 32486446›Full record

ArticleInternational journal of environmental research and public health2020

Investigating Fertility Intentions for a Second Child in Contemporary China Based on User-Generated Content.

Ying Qian, Xiao-Ying Liu, Bing Fang, Fan Zhang, Rui Gao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  9. Fertility Intention to Have a Third Child in China following the Three-Child Policy: A Cross-Sectional Study.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. 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

5 authors.

Ying QianDepartment of Information Management, School of Management, Shanghai University, Shanghai, 200444, China.
Xiao-Ying LiuDepartment of Information Management, School of Management, Shanghai University, Shanghai, 200444, China.
Bing FangDepartment of Information Management, School of Management, Shanghai University, Shanghai, 200444, China.
Fan ZhangDepartment of Information Management, School of Management, Shanghai University, Shanghai, 200444, China.
Rui GaoDepartment of Information Management, School of Management, Shanghai University, Shanghai, 200444, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's two-child policy, aimed at boosting the country's total fertility rate, has failed to achieve the desired outcomes. Previous studies on low fertility rates mainly used data obtained from demographic censuses, questionnaires, or interviews. These data-gathering methods are costly, entailing time delays and yielding limited information. User-generated content (UGC) provides an alternative data source. We propose a machine-human hybrid approach using UGC obtained from social media to assess users' intentions to have a second child. Our results showed that couples associate a second child with high economic costs mainly through negative impacts on the mothers' careers, with no concomitant economic benefits. A key motivation for having two children relates to the mental benefit of the joy in having children. However, raising a second child also entails considerable mental costs such as exhaustion and pressure. Couples largely seek help within their extended families, that is, their parents are major sources of child-rearing support. Therefore, the government should devise ways of reducing the negative impacts of having a second child on a woman's career and provide child-rearing support to help increase the fertility rate. Our proposed approach can also be used to elicit the reasons for low fertility rates in other countries.

Indexed as

Family Planning PolicyIntentionAdultChildChinaDeveloping CountriesFemaleFertilityHumansPopulation DynamicsPublic Policyfertility intentionmachine–human hybrid approachsecond childtwo-child policyuser-generated content

Identifiers

PMID32486446
PMCPMC7312720

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Registered trials

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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.