Spatial and sociodemographic correlates of gambling participation and disorder among female Filipino migrant workers in Macao, People's Republic of China

This paper describes the specific poverty reduction practices applied in Hunan Province, People’s Republic of China. Government-subsidized programs are aimed at elderly living in poverty, people with disabilities, and migrant workers and their left-behind children. They reduce poverty mainly by building a support system for living, housing, medical care, old-age care, education, and employment. Tailored financial support are also intended for natural resources of poverty-stricken areas to be used in developing industries and forming self-development capabilities to eradicate poverty, including through industrial development, employment, and financial tool utilization.

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Fast food restaurant density and weight status: A spatial analysis among Filipina migrant workers in Macao (SAR), People's Republic of China

Social Science & Medicine ◽

10.1016/j.socscimed.2020.113192 ◽

2021 ◽

Vol 269 ◽

pp. 113192 ◽

Cited By ~ 1

Author(s):

Brian J. Hall ◽

Lei Huang ◽

Grace Yi ◽

Carl Latkin

Keyword(s):

Spatial Analysis ◽

Migrant Workers ◽

Fast Food ◽

Weight Status ◽

People’S Republic Of China ◽

Fast Food Restaurant ◽

People's Republic Of China ◽

Republic Of China

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Wage Differential between Rural Migrant and Urban Workers in the People's Republic of China

Asian Development Review ◽

10.1162/adev_a_00140 ◽

2020 ◽

Vol 37 (1) ◽

pp. 43-60 ◽

Cited By ~ 1

Author(s):

Hong Cheng ◽

Dezhuang Hu ◽

Hongbin Li

Keyword(s):

Migrant Workers ◽

Fixed Effects ◽

Individual Characteristics ◽

People’S Republic Of China ◽

People's Republic Of China ◽

Republic Of China ◽

Urban Workers ◽

Rural Migrant ◽

Earnings Gap ◽

Rural Migrant Workers

Using a recently constructed dataset that draws on the China Employer–Employee Survey, this paper provides new evidence on the earnings gap between rural migrant and urban manufacturing workers in the People's Republic of China. When we only control for province fixed effects, we find that rural migrant workers are paid 22.3% less per month and 32.2% less per hour than urban workers. We find that the gap in hourly earnings is larger than the gap in monthly earnings because rural migrant workers tend to work an average of 5.6% more hours per month than urban workers. Using these data, we also find that 87.4% of the monthly earnings gap and 73.9% of the hourly earnings gap can be attributed to differences in the individual characteristics and human capital levels of rural migrant and urban workers. Furthermore, we find that this unexplained earnings gap varies among different groups of workers. The earnings gap is much larger (i) for workers in state-owned enterprises than in nonstate-owned enterprises, (ii) for college-educated workers than workers with lower levels of educational attainment, and (iii) in Guangdong province than in Hubei province.

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