Evidence map›Paper›PMID 36141877›Full record

ArticleInternational journal of environmental research and public health2022

Research on the Influence of Labor Contract on the Urban Integration of Migrant Workers: Empirical Analysis Based on China's Micro Data.

Chuangxin Zhao, Manping Tang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Youth educational mobility and the rural family in China.Research in education (University of Manchester) · 2026
    Article
  2. 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.

Chuangxin ZhaoCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-8265-8396
Manping TangCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the micro data of the China Labor Dynamics Survey (CLDS), this paper uses factor analysis to construct urban integration indicators and uses the OLS model and intermediary effect model to study the urban integration of 1976 migrant workers in 29 cities in China. This paper empirically analyzes the impact of labor contracts on migrant workers' urban integration and its mechanism. The study found that: (1) labor contract can significantly promote the urban integration of migrant workers. Further, this conclusion is still tenable after correcting endogenous bias with the 2SLS model and performing a series of robustness tests. (2) Signing labor contracts increases the participation rate of migrant workers in various insurances, enhances the social security level of migrant workers, alleviates the discrimination in the urban labor market, and thus enhances the urban integration of migrant workers. (3) The results of the heterogeneity tests show that the labor contract has a greater impact on the urban integration of the new generation, married and public sector of migrant workers compared with the old generation, unmarried and private sector of migrant workers. Therefore, this paper makes the following suggestions: the government should strengthen labor market supervision, encourage employers to sign long-term labor contracts with migrant workers, improve the social security system for migrant workers, and protect the legitimate rights and interests of migrant workers.

Indexed as

Transients and MigrantsChinaHumansMarriageOccupationsSocial SecurityChinalabor contractmigrant workerssocial securityurban integration

Identifiers

PMID36141877
PMCPMC9517089

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.