Evidence map›Paper›PMID 36829406›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Internet Use and Better-Informed Divorce in China.

Jindian Liu, Ning Neil Yu, Mingwang Cheng, Chunyan Wu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jindian LiuCollege of Economics & Management, Northwest A&F University, Xianyang 712100, China.ORCID 0000-0002-8931-8167
Ning Neil YuInstitute for Social and Economic Research, Nanjing Audit University, Nanjing 210017, China.
Mingwang ChengSchool of Economics and Management, Tongji University, Shanghai 200092, China.
Chunyan WuInstitute for Higher Education, Northwest A&F University, Xianyang 712100, China.

Funding

Fundamental Research Funds for the Central Universities 2452021062Major programs of the National Social Science Foundation of China 21&ZD077Shaanxi Natural Science Foundation Research Program 2023-JC-QN-0779Shaanxi Teacher Development Research Program 2022JSQ024
6 · The paper itself

Abstract

China has witnessed a rapid expansion in Internet penetration in recent years, with profound impacts on people's family life and marital relationships. This paper aims to examine the causal effects and functionary of information access through Internet on marital stability. This paper identifies a robust association between Internet use and increasing divorce rates in China by using nationally representative, individual-level survey data and province-level aggregate data. Various regression techniques and specifications demonstrated the statistical and economic significance of the association. Given the ever-expanding role of the Internet and the serious consequences of divorce on families and society, it is imperative that we study the underlying mechanisms as the first step toward socially responsible policymaking. Our analysis revealed a significant mediating effect of the self-reported importance of Internet information acquisition, the frequency of chatting with online friends, the frequency of meeting with online friends, and the intensity of Internet use. These findings are consistent with the theory that the increase in divorce decisions is due to better information access and is, therefore, rational and that policies such as a mandatory cooling-off period for divorce may lower societal welfare. We also conducted a series of heterogeneity analyses that showed, among other findings, that the Internet effect is stronger for women.

Indexed as

divorceinformation accessInternet penetrationInternet usemandatory cooling-off period

Identifiers

PMID36829406
PMCPMC9952388

What OpenQuestion holds

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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.