Evidence map›Paper›PMID 40106492›Full record

ArticlePloS one2025

Remain or return? The effect of social network and engagement on settlement intentions among high skilled migrants in Northeast China.

Wenbin Wang, Xiaohan Li

Abstract read
In one paragraph

Article in PloS one, 2025. 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

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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

2 authors.

Wenbin WangSchool of Philosophy and Sociology, Jilin University, Changchun City, Jilin Province, China.
Xiaohan LiSchool of Philosophy and Sociology, Jilin University, Changchun City, Jilin Province, China.ORCID https://orcid.org/0009-0003-5364-6630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is transitioning from an immigrant-exporting country to an immigrant-importing country. To attract and retain global, it is necessary to analyze the factors influencing the settlement intentions of high skilled migrants to formulate policy support and tailor the management of transnational communities to their characteristics. This study used the Changchun sample from the Survey on Foreign Residents in China (SFRC 2017-2019) to examine the influence of social networks and social engagement on settlement intentions. It also considered differences in the classification of social networks and engagement strength, as well as classification by country of origin. This study identified that social networks and social engagement in the destination country play an essential role in the willingness of high skilled migrants to stay in Changchun. Additionally, international enclaves negatively affected their willingness to stay. Furthermore, the relative strength of migrants' social networks and social engagement in the destination country exerted varying effects on the intensity of their settlement intentions. That is, using high skilled migrants with strong Chinese social networks and social engagement as the reference group, relying solely on a strong social network in China while lacking social engagement significantly reduced their willingness to settle. A weak social networks and low social engagement also significantly decreased their willingness to settle. Moreover, settlement intentions of the high skilled migrants differed significantly by country of origin. If we selected the same reference term, the willingness of expatriates from developed countries to stay decreased significantly. In the sections concerning comparison and robustness checks, national data were employed (SFRC 2019). Highly skilled expatriates in Guangzhou, Hangzhou, and Yiwu demonstrated the synergistic interaction between ethnic communities and work units (danwei), whereas those in Changchun exhibited a certain uniqueness, embedding themselves in Chinese society through their own human capital and danwei affiliations.

Indexed as

Emigrants and ImmigrantsEmigration and ImmigrationSocial NetworkingTransients and MigrantsAdultChinaFemaleHumansIntentionMaleMiddle AgedSocial SupportSurveys and QuestionnairesYoung Adult

Identifiers

PMID40106492
PMCPMC11922226

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LicenceCC BY
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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.