How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities

Zheng, Rumin; Lin, Mei; Yan-hua, Guo; Zhen, Shuo; Fu, Zhanhui

doi:10.1371/journal.pone.0244665

Cited by 8 publications

(3 citation statements)

References 45 publications

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“…This finding supported that of another Chinabased study (52). A possible explanation for this is that different cities have different characteristics or personalities, meaning each city has a unique influence on new residents (71). The urban integration of migrants is an interactive process between migrants and the local society (56), and the uniqueness of a city can have both positive and negative effects on migrants.…”

Section: Association Between Social Integration and Subjective Well-b...mentioning

confidence: 99%

Association Between Intergenerational Support, Social Integration, and Subjective Well-Being Among Migrant Elderly Following Children in Jinan, China

Jia

Kong

2022

Front. Public Health

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BackgroundIn China, as domestic urbanization progresses and immigration expands, an increasing number of older people are choosing to follow their migrant children to new cities. Such people are referred to as “migrant elderly following children.” However, few studies have explored the subjective well-being of these older adults. The present study aims to investigate the factors that influence the subjective well-being of this population of older adults.MethodsThis cross-sectional study was conducted among 656 older migrants who had followed their children to Jinan, Shandong Province, China. Multistage cluster random sampling was used. Binary logistic regression analyses were performed to explore, the relationships between intergenerational support, social integration, and subjective well-being.ResultsOverall, 96.3% of the older migrants showed good subjective well-being. Analysis of intergenerational support showed that those who had a female child (odds ratio [OR] = 0.401, 95% confidence interval [95%CI]: 0.180, 0.893) and those whose children had terrible conjugal relationships (OR = 0.223, 95% CI: 0.099, 0.504) were less likely to have better subjective well-being. Analysis of social integration showed that migrants who liked their current city (OR = 5.358, 95%CI: 1. 631, 17.599) and those who had a basic understanding of the local dialect (OR = 2.869, 95%CI: 1.203, 6.843) were more likely to have good subjective well-being. Migrants who had used in-patient service in the past year (OR = 0.216, 95%CI: 0.094, 0.497) were more likely to have poor subjective well-being.ConclusionIntergenerational support and social integration are positively associated with the subjective well-being of migrant elderly following children in China. Efforts should be made, including the creation of specialized policies, to improve the family atmosphere of such migrants and their integration into their new cities, as this would contribute to improving their subjective well-being.

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Section: Association Between Social Integration and Subjective Well-b...mentioning

confidence: 99%

Association Between Intergenerational Support, Social Integration, and Subjective Well-Being Among Migrant Elderly Following Children in Jinan, China

Jia

Kong

2022

Front. Public Health

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“…Rural migrants earn considerable income and make contribution to the sustainable growth of urban labor productivity in Chinese cities [ 39 ]. Due to the hukou system, the migrant population in cities has a significant impact on China’s urbanization process [ 40 , 41 ]. This study intends to construct distinct urbanization indicators to empirically investigate the impact of urbanization on CO 2 emissions in various regions.…”

Section: Literature Reviewmentioning

confidence: 99%

Relationships between urbanization and CO2 emissions in China: An empirical analysis of population migration

2021

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China’s announcement of its goal of carbon neutrality has increased the practical significance of research on carbon dioxide (CO2) emissions that result from urbanization. With a comprehensive consideration of population migration in China, this study examines the impact of urbanization on CO2 emissions based on provincial panel data from 2000 to 2012. Two indicators (resident population and household registration population) are used to measure urbanization rate. The results reveal that the impact of urbanization on CO2 emissions in China is closely correlated with the structure of urban resident population and interregional population migration. The estimation results are still robust by using generalized method of moments (GMM) estimator and two-stage least squares (2SLS) estimator. The proportion of temporary residents is introduced as a proxy variable for population migration. The panel threshold model regression results show that the proportion of temporary residents has a marginal effect on the relationship between urbanization and CO2 emissions. In regions with a higher proportion of temporary residents, the positive effects of resident population urbanization on CO2 emissions tend to be weaker. These findings are consistent with the theories of ecological modernization and urban environmental transition. This paper makes suggestions on China’s urbanization development model and countermeasures are proposed to minimize the CO2 emissions caused by urbanization.

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“…From the perspective of consumption structure, due to the low-income level of migrant workers, the household consumption structure has been dominated by subsistence consumption, household subsidies, and improvement of living conditions (33,34). Moreover, due to the unique household registration system of China, even if migrant workers have worked in the city for many years, they cannot enjoy the same treatment as urban residents (35,36), and they may even suffer employment discrimination (32,37,38). Compared with the great contribution of migrant workers to urban economic development, the public services and welfare provided by the urban sector to them are very limited.…”

Section: Introductionmentioning

confidence: 99%

Work Resumption Rate and Migrant Workers' Income During the COVID-19 Pandemic

Chu

Chai

et al. 2021

Front. Public Health

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The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and historical data on the average monthly income of migrant workers, we find that the average work resumption rate (WRR) during the period of the Chinese Lantern Festival was 25.25%, which was only 30.67% of that in the same matched lunar calendar period in 2019. We then apply Gray Model First Order One Variable [GM (1, 1)] to predict the monthly income of migrant workers during the period of the COVID-19 pandemic. We show that, if without the influence of the COVID-19 pandemic, the average monthly income of migrant workers in 2020 will be expected to increase by 12% compared with 2019. We further conduct scenario analysis and show that the average monthly income of migrant workers in 2020 under the conservative scenario (COS), medium scenario (MES), and worse scenario (WOS) will be predicted to decrease by 2, 21, and 44%, respectively. Through testing, our prediction error is <5%. Our findings will help policymakers to decide when and how they implement a plan to ease the coronavirus lockdown and related financial support policies.

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How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities

Cited by 8 publications

References 45 publications

Association Between Intergenerational Support, Social Integration, and Subjective Well-Being Among Migrant Elderly Following Children in Jinan, China

Association Between Intergenerational Support, Social Integration, and Subjective Well-Being Among Migrant Elderly Following Children in Jinan, China

Relationships between urbanization and CO2 emissions in China: An empirical analysis of population migration

Work Resumption Rate and Migrant Workers' Income During the COVID-19 Pandemic

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