Evidence map›Paper›PMID 26391287›Full record

ArticleDemography2015

Changes in the Determinants of Marriage Entry in Post-Reform Urban China.

Jia Yu, Yu Xie

Abstract read
PubMed Publisher
In one paragraph

Article in Demography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Youth educational mobility and the rural family in China.Research in education (University of Manchester) · 2026
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  8. Love is Elsewhere: Internal Migration and Marriage Prospects in China.European journal of population = Revue europeenne de demographie · 2023
    Article
  9. On the Quantum and Tempo of Women First Marriages in China.International journal of environmental research and public health · 2022
    Article
  10. The Positive Effect of Women's Education on Fertility in Low-Fertility China.European journal of population = Revue europeenne de demographie · 2022
    Article
  11. Article
  12. Individual's gender ideology and happiness in China.Chinese sociological review · 2022
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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

2 authors.

Jia YuInstitute of Sociology, Chinese Academy of Social Sciences, Beijing, China. yujiaruc@gmail.com.
Yu XieDepartment of Sociology, Princeton University, Princeton, NJ, USA. yuxie@princeton.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using population intercensus and national survey data, we examine marriage timing in urban China spanning the past six decades. Descriptive analysis from the intercensus shows that marriage patterns have changed in China. Marriage age is delayed for both men and women, and prevalence of nonmarriage became as high as one-quarter for men in recent birth cohorts with very low levels of education. Capitalizing on individual-level survey data, we further explore the effects of demographic and socioeconomic determinants of entry into marriage in urban China over time. Our study yields three significant findings. First, the influence of economic prospects on marriage entry has significantly increased during the economic reform era for men. Second, the positive effect of working in the state-owned sector has substantially weakened. Third, educational attainment now has a negative effect on marriage timing for women. Taken together, these results suggest that the traditional hypergamy norm has persisted in China as an additional factor in the influences of economic resources on marriage formation.

Indexed as

Urban PopulationAdolescentAdultAge FactorsChinaFemaleHumansMaleMarriageSurveys and QuestionnairesYoung AdultChinaEconomic reformMarriage entrySocioeconomic determinants

Identifiers

What OpenQuestion holds

Textmetadata
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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.