Objective: This study investigates the impact of informal care and work stress on women’s health and further disentangles this effect through intensity and channel analysis. Method: This research uses the 2000–2015 China Health and Nutrition Survey and employs the propensity score matching model with fixed effects. Results: The care and work burden significantly increases the probability of women suffering from chronic diseases, being underweight or overweight, and self-reporting poor health by 0.63%, 1.69%, and 2.35%, respectively. This double-burden effect is exacerbated as the care and work hours increase. Women who care for more than 20 hr and work for more than 50 hr per week experience the most serious health decline. We further find that the double burden leads to health deterioration through channels of reduced exercise and increased psychological stress. Discussion: This study provides a reliable decision-making basis for policy makers to formulate strategies for informal caregivers in China.
Using data from the China Health and Nutrition Survey, this study investigated the impact of health insurance coverage on children's health in China. To address the potential endogeneity between insurance and health, we adopted the instrumental variable probit model. We found that insurance enrollment significantly improved the health of children, especially urban children, but there was no significant insurance effect across gender. After using the propensity score matching method, an alternative measure of child health, and a sub-sample of children aged above 10, our major finding of the insurance effect on child health is verified and robust. We further conducted the path analysis by identifying three potential paths through which medical insurance improved child health. We found that child health behaviour and nutritional intake are the effective paths between insurance enrollment and health status. These results provided implications for policy makers in constructing and developing the supportive system of child medical insurance in China.
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