Effect of Air Pollution on Female Labor Supply: An Empirical Analysis Based on Data of Labor Force Dynamic Survey of China.

The current study investigates the relationship between air pollution and female labor supply using China Labor Force Dynamic Survey Data (CLDS). The two-stage least squares method (2SLS) was used to approach the study objective. Moreover, the maximum wind speed was used as an instrumental variable for air pollution to solve the endogenous problem. The results found that air pollution directly impacted on female labor supply and working hours. The regression results confirmed a negative and significant impact of air pollution on female labor participation. Furthermore, the labor supply behavior of middle-aged and elderly women was significant and positively related to air pollution, while the labor supply behavior of young women had a negative relationship with air pollution. The study results stress the Chinese government to implement rigorous air pollution regulations to improve air quality. Furthermore, it is necessary to improve the female labor supply to maintain economic activities.

Air pollution risks human mental health: an implication of two-stages least squares estimation of interaction effects.

The study investigates the relationship between air pollution and the status of human mental health using the data of the China Migrant Dynamic Survey (CMDS), 2014. Various econometric methods were used. Particularly, the ordinary least square (OLS) was used to estimate the parametric impact of mental health. Moreover, a robustness test was used to estimate negative impact of air pollution on mental health. Results found that air pollution significantly increased psychological disorder. The concentration of PM2.5 in the air leads to higher prominence of the four negative emotions such as nervous, depression, powerless, and restless or fidgety. After introducing the instrumental variable to solve the endogenous problem, the impact of air pollution on the level of the mental illnesses was still significant and negative. Results are also evident that air pollution has heterogeneity to the negative status of residents' mental health. Specifically, it has a significant and negative impact on women, rural and urban population, and middle- and low-income groups. The study results suggest that the government must have to revise the environmental regulation policy reduce the negative impact on human health.

Human health damages related to air pollution in China.

In recent years, air pollution in China has posed serious threats to human health. In this study, we investigate the relationship between air pollution and residents' health by nesting the household registration data of the China Migrant Dynamic Survey in 2014 with city characteristic data and pollution data. The results indicated that an increase in the concentration of air pollution significantly reduced residents' health levels. After using the instrumental variable (IV)-Oprobit model to solve endogenous problem, we have found that the negative impact of air pollution on residents' health remained significant. Moreover, the lag term of environmental indexes was introduced and found that air pollution significantly increased health risk. The results also demonstrated that the impact of air pollution on human health was heterogeneous. Men and urban residents were more sensitive to air pollution and more adversely affected. In addition to air pollution, the study found that, among the influencing factors at the individual level, males' health was better than females' health, and education positively impacted on residents' health. The health effects were consistent with the theoretical predictions of the Grossman model. The financial expenditure and medical input were negatively correlated with residents' health levels. Based on the results, we suggest the Chinese government should implement rigorous air pollution laws and regulations.