Old-age insurance for rural–urban migrant workers in China

2011 ◽  
Vol 4 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Fengqin Liu
Keyword(s):  
Old Age ◽  
Migrant Workers ◽  
Urban Migrant

Trade Unions and the Welfare of Rural-Urban Migrant Workers in China

ILR Review ◽  
2021 ◽  
pp. 001979392110044
Author(s):  
Alison Booth ◽  
Richard Freeman ◽  
Xin Meng ◽  
Jilu Zhang
Keyword(s):  
Mental Health ◽  
Trade Union ◽  
Migrant Workers ◽  
Trade Unions ◽  
Fixed Effects ◽  
Mental Health Problems ◽  
Panel Survey ◽  
Monthly Income ◽  
Work Related ◽  
Urban Migrant

Using a panel survey, the authors investigate how the welfare of rural-urban migrant workers in China is affected by trade union presence at the workplace. Controlling for individual fixed effects, they find the following. Relative to workers from workplaces without union presence or with inactive unions, both union-covered non-members and union members in workplaces with active unions earn higher monthly income, are more likely to have a written contract, be covered by social insurances, receive fringe benefits, express work-related grievances through official channels, feel more satisfied with their lives, and are less likely to have mental health problems.

scholarly journals Decomposing Differences in Health Service Utilization between Older Rurul-to-Urban Migrant Workers and Older Rural Residents：What is Driving the Differences?

2021 ◽  
Author(s):  
Dan Li ◽  
Jian Zhang
Keyword(s):  
Health Service ◽  
Service Utilization ◽  
Migrant Workers ◽  
Health Service Utilization ◽  
Influence Factors ◽  
Andersen Model ◽  
Inpatient Utilization ◽  
Urban Migrant ◽  
Total Difference ◽  
Rural Dwellers

Abstract Background: In recent years, the widening gap of health service utilization between different groups in mainland China has become an important issue that cannot be avoided. Yet the related study on the health services utilization for older rural-to-urban migrant workers and comparative study on older rural-to-urban migrants in China is still in its infancy. Our study explored the health service utilization of the older rural-to-urban migrant workers based on a sinicization of the latest Andersen model, by comparison with the older rural dwellers. Further, our study revealed the facets and causes by decomposing the differences in the health service utilization into determinants.Methods: The data of China Labor-Force Dynamic Survey in 2016, the data of Urban Statistical Yearbook in 2016, and Statistical Bulletin were used. Our study applied the lasted Andersen Model according to China's currency situation. Before we studied the health service utilization, we used Coarsened Exact Matching to control the confounding factors to enhance the comparability of the two groups. The matched data were used to analyze the influencing factors. Fairlie decomposition method was used to analyze the differences and the sources of health service utilization between older rural-to-urban migrant workers and their rural counterparts.Results: After matching, the probability of two weeks outpatient of older rural-to-urban migrant workers (5.59%) was significantly lower than older rural dwellers (7.57%). The probability of inpatient of older rural migrant workers (5.59%) was significantly lower than older rural dwellers (9.07%). 17.98% of the total difference of two weeks outpatient utilization was due to the observed influence factors. 71.88% of the total difference of inpatient utilization was due to the observed influence factors. Income quantiles (49.57%), self-assessed health (80.91%), and sex ratio in the community (-102.29%) were significant in the differences of inpatient utilization.Conclusions: The findings have important implications for the difference in the health services utilization between older rural-to-urban migrant workers and older rural residents in China, urging the government to take full account of the heterogeneity. The results provide references for the healthcare policy reform in the process of active ageing in China.

Mental Health Morbidity Among Rural-to-Urban Migrant Workers in China

2021 ◽  
pp. 357-368
Author(s):  
Bao-Liang Zhong ◽  
Helen Fung-Kum Chiu
Keyword(s):  
Mental Health ◽  
Migrant Workers ◽  
Urban Migrant

scholarly journals Decomposing differences in depressive symptoms between older rural-to-urban migrant workers and their counterparts in mainland China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wei Yang ◽  
Dan Li ◽  
Jianmin Gao ◽  
Xiaojuan Zhou ◽  
Fuzhen Li
Keyword(s):  
Depressive Symptoms ◽  
Migrant Workers ◽  
Short Form ◽  
Mainland China ◽  
Depression Scale ◽  
Decomposition Analysis ◽  
Urban Residents ◽  
Sleeping Time ◽  
Urban Migrant ◽  
Rural Dwellers

Abstract Background There has been an increase in older rural-to-urban migrant workers (aged 50 and above) in mainland China, little known about their depressive symptoms. The aim of this study was to identify depressive symptoms among older rural-to-urban migrant workers, as well as explored the factors leading to differences in depressive symptoms between older rural-to-urban migrant workers and their rural counterparts (older rural dwellers) and urban counterparts (older urban residents) in mainland China. The results provided a comprehensive understanding of the depressive symptoms of older rural-to-urban migrant workers, and had great significance for improving the depressive symptoms for this vulnerable group. Methods Data were derived from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2015, and coarsened exact matching (CEM) method was employed to control confounding factors. This study employed a Chinese version 10-item short form of the Center for Epidemiologic Studies-Depression Scale (CES-D 10) to measure depressive symptoms, and used the Social-Ecological Model as a framework to explore influential factors related to depressive symptoms. Specifically, the approach of Fairlie’s decomposition was used to parse out differences into observed and unobserved components. Results After matching, our findings indicated that the prevalence of depressive symptoms in older rural-to-urban migrant workers was lower than older rural dwellers; and the prevalence of depressive symptoms in older rural-to-urban migrant workers was higher than older urban residents. Fairlie’s decomposition analysis indicated that type of in-house shower, sleeping time at night and ill in the last month were proved to be major contributors to the differences in depressive symptoms between older rural-to-urban migrant workers and older rural dwellers; self-reported health and sleeping time at night were proved to be major contributors to the differences in depressive symptoms between older rural-to-urban migrant workers and older urban residents. Conclusions Differences in depressive symptoms between older rural-to-urban migrant workers and their rural and urban counterparts did exist. Our findings contributed to a more reliable understanding in depressive symptoms among older rural-to-urban migrant workers. Our findings would be of referential significance for improving older rural-to-urban migrant workers’ depressive symptoms.

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