Education

Using reading performance data from a randomized controlled trial of 5224 fifth-grade students in East China, this paper provides a novel test of the hypothesis that evoking a gender stereotype creates gender gaps in education through self-fulfilling prophecies. We found that without intervention, boys performed worse than girls did in reading tests. Evoking a gender stereotype by indicating the expected outperformance of girls over boys in reading had a significantly negative effect on boys and an insignificant effect on girls. As a result, the net effect on the gender gap in reading performance was economically important but statistically insignificant. We also found evidence that increased anxiety was likely the underlying mechanism. Finally, a heterogeneous analysis showed that boys from environments with biased gender role beliefs were more susceptible to the intervention.

This paper examines whether education can play a role in mitigating gender inequality in the process of sectoral reallocation of labour. We exploit the exogenous variations in educational attainment induced by the implementation of the 1986 Compulsory Education Law (CEL) in China. Using data from the 2018 wave of the China Family Panel Studies (CFPS) and a cohort difference-in-differences (DID) approach, we find that the CEL narrowed the gender gap in education for rural residents, but it did not reduce gender inequality in labour market outcomes, such as wage labour participation and wage rate. Our analysis reveals that this persistent inequality in labour market outcomes can be attributed to gender differences in migration and occupational choices. Specifically, rural males exposed to the CEL were more likely to migrate outside local provinces and work in low-skilled manufacturing sectors, while rural females tended to stay within local counties and work in low-skilled service sectors. Furthermore, we provide evidence that their differential migration responses are driven by household labour divisions and social gender norms, rather than disparities in cognitive skills.

This paper examines whether education can play a role in mitigating gender inequality in the process of sectoral reallocation of labour. We exploit the exogenous variations in educational attainment induced by the implementation of the 1986 Compulsory Education Law (CEL) in China. Using data from the 2018 wave of the China Family Panel Studies (CFPS) and a cohort difference-in-differences (DID) approach, we find that the CEL narrowed the gender gap in education for rural residents, but it did not reduce gender inequality in labour market outcomes, such as wage labour participation and wage rate. Our analysis reveals that this persistent inequality in labour market outcomes can be attributed to gender differences in migration and occupational choices. Specifically, rural males exposed to the CEL were more likely to migrate outside local provinces and work in low-skilled manufacturing sectors, while rural females tended to stay within local counties and work in low-skilled service sectors. Furthermore, we provide evidence that their differential migration responses are driven by household labour divisions and social gender norms, rather than disparities in cognitive skills.

Despite investments in teacher education programs, teacher shortages persist in rural areas of many low- and middle-income countries. Using data from 1860 tuition-free students, we examine factors influencing enrollment in China's Tuition-Free Normal Education (TNE) program and their implications for teacher recruitment and retention in rural schools. Descriptive analysis and OLS regression reveal that TNE students mostly come from larger, poorer families, and enroll for job security and financial benefits. Many aspire to teach but resist rural placements, risking non-compliance. These findings can guide the design and reform of programs to attract qualified teachers to rural areas in China and abroad.

This study aims to compare the ratings of primary caregivers and teachers of any mental health problems of preschool children in rural China. The primary caregivers and teachers provided their ratings of mental health of 1,191 sample rural preschool children (mean age = 56.8 months; 587 girls) using the Strengths and Difficulties Questionnaire (SDQ). According to the findings, primary caregivers consistently gave their children higher SDQ scores and identified more symptoms across the different categories of mental health problems (i.e., normal, borderline, and abnormal) than teachers. The correlations between the ratings of caregivers and the ratings of teachers were low. The study also identifies the characteristics of children, caregivers, and teacher that were correlated with the differences in the ratings. Specifically, boys, children that were identified by scales of cognitively development as being delayed, and those that parented with authoritarian style were more likely to be rated differently by primary caregivers and teachers. In addition, primary caregivers from relatively poor families rated their children differently from teachers, compared with primary caregivers from relatively rich families. Regarding teachers, they tended to rate on child mental health differently from primary caregivers when they were male or at older age. These findings suggest considering multi-informant reports when assessing the mental health problems of preschool children in different settings. In addition, understanding factors linked to informant discrepancies can potentially improve the accuracy of the assessments.

The literature has shown that cognitive and non-cognitive development before the age of three is associated with children’s levels of development at later ages. However, the extent to which the different pathways of cognitive and non-cognitive development before age three (between 6–12 months and 22–30 months of age) are associated with developmental outcomes at primary school age remains unknown. This study aims to examine this research question using three waves of longitudinal data collected from 1087 children aged 9 to 10 years and their primary caregivers in rural China. Results demonstrated four pathways of cognitive and non-cognitive development between 6–12 months and 22–30 months of age. The four pathways include: “never delayed”, “persistently delayed”, “improving”, or “deteriorating.” Children that experienced either persistently delayed or deteriorating development had lower levels of cognitive and non-cognitive development and performed worse academically than children that were never delayed when they were 9–10 years old. Maternal education attainment, family assets, and whether the child was born prematurely all predicted the child’s entry into different developmental pathways. Findings suggest that early childhood development screening and interventions that aim to facilitate healthy early development among children under three years old are needed for rural China’s young children.

Purpose: Depression is a growing public health concern around the world. For adolescents, depression not only impedes healthy development, but is negatively associated with academic performance. The purpose of this paper is to examine the prevalence of adolescent depressive symptoms in a sample of rural primary and junior high school students. Additionally, we examine various factors to identify subgroups within the sample that may be more vulnerable to depression. Finally, we explore the extent to which depression correlates with academic performance and conduct a series of heterogeneity analyses.

Patients and Methods: We utilize cross-sectional data derived from 30 schools in underdeveloped regions of rural China encompassing primary and junior high school students (n = 1,609).

Results: We find a high prevalence of depression, with 23% and 9% of students experiencing general depression (depression score ≥ 14) and severe depression (depression score ≥ 21), respectively. Female gender, elevated stress and anxiety levels, boarding at school, exposure to bullying, and having depressed caregiver(s) are positively correlated with depressive symptoms, while high social support exhibits a negative association. Importantly, our analyses consistently show a significantly negative link between depression and academic performance, which is measured using standardized math tests. For instance, transitioning from a non-depressed state to a state of general depression (depression score ≥ 14) is linked to a decline of 0.348– 0.406 standard deviations in math scores (p < 0.01). Heterogeneity analyses reveal that this adverse relationship is more pronounced for male students, boarding students, those with lower social support, individuals with more educated mothers, and those with lower family assets.

Conclusion: Our findings underscore the high prevalence of depression in rural schools and the detrimental impact on academic performance. We advocate for the implementation of policies aimed at reducing student depression, particularly within vulnerable populations and subgroups.

Policymakers in China have attempted to improve the quality of rural education by investing in teacher salaries through initiatives like the Rural Teachers Support Plan (RTSP). This study estimates the effects of teacher salary increase on students' educational outcomes in rural China by utilizing the exogenous variations of rural teacher salaries induced by the RTSP. It employs an intensity-based difference-in-differences strategy and panel data from 2010 to 2018 with 3,351 rural children. The findings reveal that an increase in teacher salaries had a significant positive impact on students' examination results. Moreover, the results of mechanism analysis indicate that salary increases could have both quality and quantity effects on students' outcomes by increasing the proportion of highly educated teachers and reducing the student–teacher ratio. Our findings contribute to the discussion on the importance of teacher salary incentives in education production functions and provide insights for other countries undertaking rural education reforms.

Rural girls in China stay in school longer than boys and outperform them in many subjects. This gender gap suggests analogous disparities in early childhood development, a key factor in later educational outcomes. This study examines gender disparities in social-emotional development among 1,301 children aged 18–30 months in rural China. Results indicate that male children trail their female counterparts by 0.18 SD on average on the scale of standardized ASQ:SE score. A large share of the difference is driven by the bottom 10 % of children, where the magnitude of the gender gap (0.34 SD) is 1.9 times larger than at the median (0.19 SD). Demographic characteristics are uncorrelated with the gender gap in heterogeneity analysis, suggesting that the mechanisms underlying observed gender disparities are similar across rural Chinese households.

To examine the association between electronic media exposure and parental language input, Language Environment Analysis technology was used to collect data on electronic media exposure and parental language input in 158 peri-urban and rural households with children aged 18–24 months in southwestern China. The sounds children made and the sounds they heard were quantified. Multiple linear regression and quantile linear regression were used to determine the relationship between electronic media and the outcomes of interest. The results showed that each hour of electronic media exposure was associated with reduced conversational turn count (p < .05) and child vocalization count (p < .05). A large share of the reduction was driven by the higher quantile of children. Reductions associated with electronic exposure were also observed in number of segments and conversational turns. These results may help explain the association between child electronic media exposure and language delay in an under-studied and at-risk population.

EdTech,  which  includes  computer  assisted  learning  (CAL),  online  education,  and  remote instruction,  was  expanding  rapidly  even  before  the  current  full-scale  substitution  for  in-person learning  at  all  levels  of  education  around  the  world  because  of  COVID-19.  Studies  of  CAL interventions  often  find  positive  effects,  however,  these “CAL  programs”  often  include  non-technology based inputs such as more time on learning and instructional support by facilitators in addition to technology-based components. In this paper, we discuss the possible channels by which CAL programs affect academic outcomes among schoolchildren. We isolate the technology-based effects  of  CAL  from  the  total  program  effects  by  designing  a  novel  multi-treatment  field experiment with more than four thousand schoolchildren in rural China. For the full sample, we find null effects for both the total CAL program and the technology-based effects of CAL (which are measured relative to a traditional pencil-and-paper learning treatment) on math test scores. For boys, however, we find a positive and statistically significant effect of the CAL program, but  do not find evidence of a positive effect for the technology-based effect of CAL. When focusing on grades, we find evidence of positive CAL program effects but find null effects when we isolate the technology-based effects of CAL. Our empirical results suggest that the “Tech” in EdTech may have  relatively  small  additional  effects  on  academic  outcomes  and  yet  that  tech  programs  can substitute at least to a certain extent for traditional learning.

Background: To explore the associations between anxiety and depression symptoms and academic burnout among children and adolescents in China, and to examine the role of resilience and self-efficacy in addressing academic burnout.

Methods: A total of 2,070 students in grades 4–8 were recruited from two primary and three middle schools in Shanghai, completed the Elementary School Student Burnout Scale (ESSBS), the Multidimensional Anxiety Scale for Children-Chinese (MASC-C), the Center for Epidemiological Studies Depression Scale (CES-D), the Connor-Davidson Resilience Scale (CD-RISC), and the General Self-Efficacy Scale (GSES), with 95.04% effective response rate. Multivariable regression analyses examining the associations between anxiety / depression symptoms and academic burnout (as well as the associations between resilience / self-efficacy and academic burnout) were performed using STATA 16.0 and SmartPLS 3.0.

Results: Anxiety symptoms (β = 0.124, p < 0.01) and depression symptoms (β = 0.477, p < 0.01) were positively correlated with academic burnout. Resilience partially mediated the association between depression symptoms and academic burnout (β = 0.059, p < 0.01), with a mediation rate of 12.37%. Self-efficacy partially mediated the associations between anxiety symptoms and academic burnout (β = 0.022, p < 0.01) and between depression symptoms and academic burnout (β = 0.017, p < 0.01), with mediation rates of 17.74% and 3.56%, respectively. Resilience and self-efficacy together (β = 0.041, p < 0.01) formed a mediating chain between depression symptoms and academic burnout, with a mediation rate of 8.6%.

Conclusions: Anxiety and depression symptoms were positively associated with academic burnout. Resilience and self-efficacy were found to mediate the associations partially.

This paper studies the unintended effect of English language requirement on educational inequality by investigating how the staggered rollout of English listening tests in China’s high-stakes National College Entrance Exam (NCEE) affected the rural–urban gap in college access. Leveraging administrative data covering the universe of NCEE participants between 1999 and 2003, we find that the introduction of English listening tests significantly lowered rural students’ exam score percentile ranks relative to their urban counterparts, resulting in a 30% increase in the rural–urban gap in college access. Our back-of-the-envelope calculations suggest that, as a result of this policy change, more than 54,000 rural students lost college seats to their urban peers between 1999 and 2003, and another 11,000 rural students who elite colleges could have admitted ended up in non-elite colleges, causing them significant future income losses.

A growing body of literature explores the effect of higher education on the urban–rural divide in China. Despite an increasing number of rural students gaining access to college, little is known about their performance in college or their job prospects after graduation. Using nationally representative data from over 40,000 urban and rural college students, we examine rural students’ college performance and estimate the impact of rural status on students’ first job wages in comparison to their urban peers. Our results indicate that once accepted into college, rural students perform equally as well, if not better, than their urban counterparts. Additionally, we discovered that rural students earn a 6.2 per cent wage premium compared to their urban counterparts in their first job after graduation. Our findings suggest the importance of expanding access to higher education for rural students, as it appears to serve as an equalizer between urban and rural students despite their significantly different backgrounds.

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 to some extent. It raises the child’s rank in the income distribution by almost 20 percentiles. Nevertheless, it does not change the intergenerational relationship in income ranks or guarantee   one’s entry into an elite occupation or industry. Second, while elite college access rises with parental income, the disparity is less pronounced in China than in the United States. In China, top-quintile children are 2.3 times more likely to attend an elite college compared to bottom-quintile children, versus an 11.2-fold difference in the U.S. Third, the score-based cutoff rule in elite college admission is income neutral. Overall, these findings reveal both the efficacy and limitations of China’s elite colleges in shaping social mobility.

To better understand the impacts of parenting interventions (e.g., parental training of psychosocial stimulating activities) on child developmental outcomes and design effective policies to benefit young children, it is essential to identify the mechanisms through which the interventions work. To this end, this paper presents the results of two randomized controlled trials that offered home visitation, parenting trainings to 435 households (with 527 households as the control group) in 174 villages across three provinces in China. The findings from the randomized controlled trials showed that the interventions significantly improved child cognitive development and had a positive effect on the primary caregivers’ parenting practices and their parenting beliefs. The analysis suggests three possible mechanisms through which the parenting interventions affected child cognitive development: changing the parenting beliefs of the primary caregivers, shifting the parenting practices of the primary caregivers, and improving the primary caregivers’ parenting beliefs, thus fostering better parenting practices.

Despite the proliferation of education technologies (EdTech) in education, past reviews that examine their effectiveness in the context of low- and middle-income countries are few and rarely seek to include studies published in languages other than English. This systematic review investigates the effectiveness of educational technology on primary and secondary student learning outcomes in China via a systematic search of both English- and Chinese-language databases. Eighteen (18) unique studies in 21 manuscripts on the effectiveness of EdTech innovations in China met the eligibility criteria. The majority of these evaluate computer aided self-led learning software packages designed to improve student learning (computer assisted learning, CAL), while the rest evaluate the use of education technology to improve classroom instruction (ICI) and remote instruction (RI). The pooled effect size of all included studies indicates a small, positive effect on student learning (0.13 SD, 95% CI [0.10, 0.17]). CAL used a supplement to existing educational inputs – which made up the large majority of positive effect sizes – and RI programs consistently showed positive and significant effects on learning. Our findings indicate no significant differences or impacts on the overall effect based on moderating variables such as the type of implementation approach, contextual setting, or school subject area. Taken together, while there is evidence of the positive impacts of two kinds of EdTech (supplemental computer assisted learning and remote instruction) in China, more evidence is needed to determine the effectiveness of other approaches.

The objective of the current study is to examine the impact of an in-school computer-assisted learning (CAL) intervention on the math achievement of rural students in Taiwan, including a marginalized subgroup of rural students called Xinzhumin, and the factors associated with this impact. In order to achieve this, we conducted a cluster randomized controlled trial involving 1,840 fourth- and fifth-grade students at 95 schools in four relatively poor counties and municipalities of Taiwan during the spring semester of 2019. While the Intention-To-Treat (ITT) analysis found that the CAL intervention had no significant impacts on student math achievement, the Local Average Treatment Effect (LATE) analysis revealed significant associations with the math performance of the most active 20% of students in the treatment group. LATE estimates suggest that using CAL for more than 20 minutes per week for ten weeks corresponds to higher math test scores, both in general (0.16 SD–0.22 SD), and for Xinzhumin students specifically (0.3 SD–0.34 SD). Teacher-level characteristics were associated with compliance rates.

In low- and middle-income countries, urbanization has spurred the expansion of peri-urban communities, or urban communities of formerly rural residents with low socioeconomic status. The growth of these communities offers researchers an opportunity to measure the associations between the level of urbanization and the home language environment (HLE) among otherwise similar populations. Data were collected in 2019 using Language Environment Analysis observational assessment technology from 158 peri-urban and rural households with Han Chinese children (92 males, 66 females) aged 18–24 months in China. Peri-urban children scored lower than rural children in measures of the HLE and language development. In both samples, child age, gender, maternal employment, and sibling number were positively correlated with the HLE, which was in turn correlated with language development.

Besides increasing knowledge, there is another potential mechanism at work when information is delivered to a treatment group: increasing the salience of existing knowledge. We use data from a randomized controlled trial of a health information campaign to explore the relative importance of this additional mechanism in a real-world environment. The health information campaign addressed the benefits of wearing eyeglasses and provided information meant to address the common misconceptions that contribute to low adoption rates of eyeglasses. In total, our study sample included 931 students with poor vision (mostly myopia), their parents, and their homeroom teachers in 84 primary schools in rural China. We find that the health information campaign was able to successfully increase student ownership and wearing of eyeglasses, relative to a control group. We demonstrate that the campaign had a larger impact when levels of preexisting information among certain subgroups of participants—namely, parents of students—were higher while we simultaneously provided new information to others. This suggests that the interaction between directed attention (i.e., salience) and baseline knowledge is important. We do not, however, find similar increases among teachers or the students themselves and additionally find no impacts on academic outcomes.

This study examines the level and equity of household education spending in China using representative microdata. The findings reveal that education expenditure constitutes a substantial portion of household income, averaging around 17.1%. Moreover, there is an inverse relationship between household income and the fraction of income spent on education, with the top quartile spending 10.6% of their income on education, while the bottom quartile spends a staggering 56.8%. Regression analysis indicates an income elasticity of 0.306, implying that education is a necessity good in China. These results underscore the excessive financial burden imposed by education expenditure, particularly on families in the lower income bracket. To promote equal opportunities and achieve broad, long-term economic benefits, it is imperative to implement new public policies in China that improve the affordability of education for a broader segment of the population.

China's higher education system has undergone a rapid expansion over the last two decades. By drawing on hand-collected data, we explore students' experiences in college and in the labor market post-graduation in the wake of this expansion. According to our data, the largest employer of college graduates in the labor market was the state sector, followed by the domestic private sector. To explain the returns to college education in China, we explore three mechanisms: human capital, social networks, and signaling. We find that human capital measures, apart from a student's college English test scores, cannot explain the college wage premium, whereas both social networks (for example, membership of the Communist Party) and signaling matter significantly. This seems to indicate that in China, connections are crucial for student success in the labor market, whereas the higher education system itself is more a system for selecting talented individuals than it is for educating them. Finally, students allocate their time accordingly, for example, by spending more time studying English in college than any other subject.

One out of every three children under the age of 5 in developing countries lives in an environment that impedes human capital development. Children growing up in resource-poor settings are at an increased risk of early developmental delay due to risk factors such as being in environments that lack cognitive stimulation, nutrition, or care in the home environment. Given that early developmental deficits are difficult to reverse later in life, such deficits are key drivers of inequality and impediments for intergenerational mobility. This policy brief reviews this problem and then proposes a design of cost-effective, scalable, and sustainable parental training programs (focusing on psychosocial stimulation for young children) as a global strategy to improve the developmental opportunities of children before they reach the age of 5 in developing countries, to remediate social inequalities, and to boost long-term economic development. We present concrete policy recommendations for the implementation of such programs at scale.