Empirical Analysis of the Impact of the Employment Stability on Income of the Floating Populations in the Pearl River Delta Region

Guan, Huaping

doi:10.2991/mcei-15.2015.61

Cited by 3 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of employment, employment opportunities in first-tier cities were more attractive to the floating population ( 67 ), and it was more necessary to protect the basic rights and interests of new industry workers, such as income, and maintain their employment stability by building harmonious labor relations ( 68 ). In addition, it was necessary to improve the affordability of urban housing ( 69 ) and bring more new industry workers into the security scope of public rental housing and the community service system.…”

Section: Discussionmentioning

confidence: 99%

Prediction models and associated factors on the fertility behaviors of the floating population in China

Zhu

Zhu²,

Gu³

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

The floating population has been growing rapidly in China, and their fertility behaviors do affect urban management and development. Based on the data set of the China Migrants Dynamic Survey in 2016, the logistic regression model and multiple linear regression model were used to explore the related factors of fertility behaviors among the floating populace. The artificial neural network model, the naive Bayes model, and the logistic regression model were used for prediction. The findings showed that age, gender, ethnic, household registration, education level, occupation, duration of residence, scope of migration, housing, economic conditions, and health services all affected the reproductive behavior of the floating population. Among them, the improvement duration of post-migration residence and family economic conditions positively impacted their fertility behavior. Non-agricultural new industry workers with college degrees or above living in first-tier cities were less likely to have children and more likely to delay childbearing. Among the prediction models, both the artificial neural network model and logistic regression model had better prediction effects. Improving the employment and income of new industry workers, and introducing preferential housing policies might improve their probability of bearing children. The artificial neural network and logistic regression model could predict individual fertility behavior and provide a scientific basis for the urban population management.

show abstract

Section: Discussionmentioning

confidence: 99%

Prediction models and associated factors on the fertility behaviors of the floating population in China

Zhu

Zhu²,

Gu³

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…The evaluation of individual action depends on the future economy (Esteban, 2017). The longer a migrant worker intends to stay in the inflow city, the greater their motivation to improve human capital in their current jobs due to their positive expectations regarding local economic prospects (Guan, 2015). The positive coefficient of spandt shows that migration is a valuable investment (Oded & David, 1985).…”

Section: Resultsmentioning

confidence: 99%

“…Regarding mobility characteristics, features such as the original wage status before migrant flow, farmland possession before migrant flow, stability after migrant flow, the flow of family members, the frequency of mobility, the distance of mobility, mobility status across the administrative regions, occupational mobility, and purpose of migration play major roles in migrant workers' income (Yin et al., 2020). Concerning employment characteristics, elements that influence migrant workers' income include the employment situation, work type, occupational type, formality of the work unit, the work unit's scale, hours of work, the labor contract signing rate, and employment stability (Guan, 2015; Wu & Marette, 2020). (b) The social and economic environment that primarily affects migrant workers’ income includes the social system, economic environment, and social integration.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The geography of migrant workers' income in China: Evidence from a migrants dynamic survey in 2017

2021

Growth and Change

View full text Add to dashboard Cite

Studying the spatial pattern and determinants of migrant workers’ income is vital for grasping their mobility tendencies to better administer to this urban floating population and propel urbanization. Using 2017 data from the China Migrants Dynamic Survey, this paper adopts trend surface, standard deviation ellipse, and spatial correlation methods to describe the spatial pattern of migrant workers' income in China. It then employs econometric models to examine the spatial effects and determinants of migrant workers' income. The spatial pattern demonstrates an obvious cluster phenomenon for the migrant workers' income in prefectural cities. Based on this social context, our empirical results further show that migrant workers' income has a spatial dependence effect. Migrant workers' income is positively affected by the migrant workers' individual characteristics (demographics, outflow characteristics, social integration) and negatively affected by the external factors (public social services, economic development environment) of the cities into which they flow. There is salient spatial variation in the determinants of migrant workers' income in prefectural cities, which are divided into multifactorial influence zones, work experience and house price influence zones, and education and family influence zones by cluster analysis, and into eastern and midwestern influence zones according to China's three economic areas.

show abstract

“…This suggests that being financially capable can also influence one's decision to pursue self-employment opportunities. In addition, according to Guan [53], employment stability, as determined by an individual's employment classification, can significantly impact income stability. Research has shown that stable employment is associated with increased income levels for workers, as it allows for the accumulation of human capital over time, leading to higher earnings.…”

Section: Theme 3: Income Stability and Job Securitymentioning

confidence: 99%

Financial Capability as a Predictor of Financial Satisfaction among Catholic Higher Education Employees: A Sequential Explanatory Mixed Method Inquiry

Nawanao,

Lopena

2024

TSSJ

View full text Add to dashboard Cite

Understanding the financial capability and satisfaction of Catholic Higher Education Institution (CHEI) employees is crucial in addressing their financial well-being. Hence, this paper quantitatively assessed the financial capability and financial satisfaction of CHEI employees. Meanwhile, the qualitative phase explored the factors influencing financial capability and financial satisfaction through interviews. By employing a sequential explanatory mixed-method approach, the research provided a holistic understanding of how financial capability impacts financial satisfaction and explore potential strategies to enhance their financial well-being. The quantitative phase involved a self-made research instrument. The researcher employed tools like frequency distribution, mean, standard deviation, and regression analysis. For the qualitative phase, data collection involved a semi-structured interview. Lichtman's 3 Cs analyzed the transcribed data. The quantitative results revealed that the CHEI employees has a high financial capability. However, they are financially dissatisfied. In their demographics, income, educational attainment, and employment classification has a significant relationship of CHEI financial capability. In financial satisfaction, only income and educational attainment has a significant relationship. Moreover, the qualitative results revealed that having alternative means of living, receiving spousal support, and having fewer dependents are key elements that enhance the financial resilience and flexibility of CHEI employees. However, despite their financial capability, the research indicates that CHEI employees may face financial dissatisfaction linked to employment-related issues. Factors such as limited career advancement opportunities and lower monthly salary levels are identified as significant contributors to their financial dissatisfaction.

show abstract

Empirical Analysis of the Impact of the Employment Stability on Income of the Floating Populations in the Pearl River Delta Region

Cited by 3 publications

References 3 publications

Prediction models and associated factors on the fertility behaviors of the floating population in China

Prediction models and associated factors on the fertility behaviors of the floating population in China

The geography of migrant workers' income in China: Evidence from a migrants dynamic survey in 2017

Financial Capability as a Predictor of Financial Satisfaction among Catholic Higher Education Employees: A Sequential Explanatory Mixed Method Inquiry

Contact Info

Product

Resources

About