This study conducts an exploratory analysis of the impacts of a center-based early childhood development intervention on the mental health of caregivers, using data from a cluster-randomized controlled trial of 1664 caregivers (Mage = 36.87 years old) of 6- to 24-month-old children in 100 villages in rural China. Caregivers and children in 50 villages received individual parenting training, group activities and open play space in village parenting centers. The results show no significant overall change in caregiver-reported mental health symptoms after 1 year of intervention. Subgroup analyses reveal heterogeneous effects by caregiver socioeconomic status and identity (mother vs. grandmother). Findings suggest that early childhood development interventions without targeted mental health components may not provide sufficient support to improve caregiver mental health.

Behavioral strengths and difficulties among children and adolescents may be significantly associated with their academic performance; however, the evidence on this issue for rural youth in developing contexts is limited. This study explored the prevalence and correlates of mental health from three specific dimensions—internalizing problems, externalizing problems, and prosocial behavior—measured by the Strengths and Difficulties Questionnaire (SDQ), and the association of these dimensions with academic performance in math among a sample of 1500 students in rural China. Our findings indicated that students in rural China had worse behavioral difficulties and poorer prosocial skills when compared to most past studies conducted inside and outside of China. In addition, total difficulties and prosocial scores on the SDQ were significantly associated with student math test scores, as students whose externalizing, internalizing, and prosocial scores were in the abnormal range scored lower in math by 0.35 SD, 0.23 SD, and 0.33 SD, respectively. The results add to the growing body of empirical evidence related to the links between social environment, mental health, and academic performance in developing countries, highlighting the importance of students’ mental health for their academic performance, and of understanding risk factors in the social environment among rural youth in developing countries.

Resilience can play an important role in enabling disadvantaged students to succeed academically. However, few studies in low-resource contexts have evaluated resilience as a process (including a child’s internal capabilities and external resources, like the internal capabilities of a child’s caregiver) and as an outcome (e.g., academic achievement). In the current study, we examined the associations among students’ self-reported internal capabilities, their external resources (e.g., caregivers’ internal capabilities), and their academic resilience (operationalized as performance on a math test). The study was conducted among 1609 primary and secondary school students in rural China using the Connor–Davidson Resilience Scale (CD-RISC) to measure internal capabilities. Student CD-RISC scores were positively associated with external resources including caregiver CD-RISC scores, maternal education level, high levels of perceived social support, recreational reading, and involvement in group-based activities at school. A one-point increase in students’ CD-RISC scores was associated with a 0.01 SD increase in math score (p < 0.001), and the math scores of students whose CD-RISC scores were in the bottom quartile were 0.18 SD lower than those of their peers (p < 0.01). High levels of perceived social support and recreational reading were also associated with academic resilience in the adjusted equation. Directions for future research and policy implications are discussed.

Purpose: We examine how adolescent free time allocation—namely, screen time and outdoor time—is associated with mental health and academic performance in rural China.

Methods: This paper used a large random sample of rural junior high school students in Ningxia (n = 20,375; age=13.22), with data collected from self-reported demographic questionnaires (to assess free time allocation), the Strengths and Difficulties Questionnaire (to assess mental health), and a standardized math test (to measure academic performance). We utilized a multivariate OLS regression model to examine associations between free time allocation and adolescent outcomes, controlling for individual and family characteristics.

Results: Our sample’s screen time and outdoor time both averaged around 1 hour. About 10% of the sample adolescents reported behavioral difficulties, while a similar percentage (11%) reported abnormal prosocial behaviors. Adolescents with higher levels of screen time (> 2 hours) were 3 percentage points more likely to have higher levels of behavioral difficulties (p< 0.001), indicating that excessive screen time was associated with worse mental health. Meanwhile, outdoor time was associated with better mental health, and positive correlations were observed at all levels of outdoor time (compared to no outdoor time, decreasing the likelihood of higher levels of behavioral difficulties by between 3 and 4 percentage points and of lower prosocial scores by between 6 and 8 percentage points; all p’s< 0.001). For academic performance, average daily screen times of up to 1 hour and 1– 2 hours were both positively associated with standardized math scores (0.08 SD, p< 0.001; 0.07 SD, p< 0.01, respectively), whereas there were no significant associations between outdoor time and academic performance.

Conclusion: Using a large sample size, this study was the first to examine the association between adolescent free time allocation with mental health and academic performance, providing initial insights into how rural Chinese adolescents can optimize their free time.

We study how an elite college education affects social mobility in China. China provides an interesting context because its college admissions rely mainly on the scores of a centralized exam, a system that has been the subject of intense debate. Combining the data from a large-scale college graduate survey and a nationally representative household survey, we document three main findings. First, attending an elite college can change one's fate. It significantly raises the child's rank in the income distribution. Nevertheless, it does not change the intergenerational relationship in income ranks or guarantee one's entry into an elite occupation or industry. Second, although access to elite colleges increases with parental income, the income gradient is much flatter than in the United States. Third, the score-based cutoff rule in elite college admission is income neutral. Overall, these findings reveal the efficacy and limitations of China's elite colleges in shaping social mobility.