Depressive Symptoms and Migrant Worker Wages: Estimation Based on a Nationally-Representative Panel Dataset

Depressive symptoms in Chinese laborers: Prevalence and correlated factors among subgroups

BACKGROUND

China has entered a new economic age, with the government leading economic transformation. Many laborers, such as rural laborers and migrant workers, have developed serious mental health issues. These issues, such as depression, are a significant obstacle to sustainable development in China.

METHODS

We use data from the 2016 China Family Panel Survey, a survey that collected data from a large and nationally representative sample of the Chinese population, to construct a sample of 18,300 laborers from 25 provinces, and then use statistical analysis to gain insight into the prevalence of depression among laborers.

RESULTS

The distribution of depression varies among laborers. Specifically, we find that the prevalence of depression is significantly lower in the population of urban laborers than in migrant laborers or rural laborers. Our results also show that laborers who are women, divorced, widowed, ethnic minorities, low income, low education, long work experience, or who lack medical insurance are more likely to be depressed than other laborers are.

LIMITATIONS

Our research has several weaknesses. First, the CFPS dataset only used self-diagnosed depressive symptoms, which limited us to examining depressive symptoms, rather than medical diagnoses. Also, this paper was unable to explore the causal relationship between depression and other factors. Future research examining the causality between depression and other factors in China is necessary.

CONCLUSION

We propose that there is correspondingly high prevalence of depression among laborers in rural areas compared to urban areas in China. This study can help government leaders make targeted programs for depressed adults in the future, especially those who are members of marginalized groups.