Although there is evidence that there was gender inequality in China’s education system in the 1980s, the literature in China has mixed evidence on improvements in gender inequality in educational attainment over the past three decades. Some suggest gender inequality is still severe; others report progress. We seek to understand the progress China has made (if any) in reducing gender inequality in education since the 1980s. To meet this goal, we use a meta-analysis approach which provides a new quantitative review of a relatively large volume of empirical literature on gender educational differentials. This article analyzes differences across both time and space, and also across different grade levels and ethnicities. Our results indicate that gender inequality in educational attainment still exists, but it has been narrowing over time. Moreover, it varies by area (rural versus urban) and grade level. There is nearly no significant gender inequality in the case of girls in urban areas or in the case of the 9 years of compulsory education (primary school and junior high school). Girls, however, still face inequality in rural areas (although inequality is falling over time) and when they reach high school or beyond. (JEL I24)

A significant gap remains between rural and urban students in the rate of admission to senior high school. One reason for this gap may be the high levels of tuition and fees for senior high school. By reducing student expectations of attending high school, high tuition and fees can reduce student academic performance in junior high school. In this paper we evaluate the impact of a senior high tuition relief program on the test scores of poor, rural seventh grade students in China. We surveyed three counties in Shaanxi Province and exploit the fact that, while the counties are adjacent to one another and share similar characteristics, only one of the three implemented a tuition relief program. Using several alternative estimation strategies, including Difference-in-Differences (DD), Difference-in-Difference-in- Differences (DDD), Propensity Score Matching (Matching) and Difference-in-Differences Matching (DD Matching), we find that the tuition program has a statistically significant and positive impact on the math scores of seventh grade students. More importantly, this program is shown to have a statistically significant and positive effect on the poorest students in the treatment group compared to their wealthier peers.

Experts agree that computers and computing play an important role in education. Since the 1980s there has been a debate about gender as it relates to computers and education. However, results regarding gender differences concerning computer use in education are not consistent. In particular there is little work done in China on this issue. Therefore, the overall goal of this paper is to demonstrate whether girls and boys can gain equally from computer-based education in China’s elementary schools. To do so we analyze results from three randomized field experiments of a Computer Assisted Learning (CAL) program and one laptop per child (OLPC) program. The field experiments are carried out in three kinds of schools: Shannxi rural public schools; Qinghai minority public schools; and Beijing migrant schools. Although CAL and OLPC have been considered cost effective means to improve learning outcomes, it is not known whether the programs impact girls differently than boys. Our analysis shows that, in fact, there were no differences between female and male students in either the improvement in standardized math test scores or Chinese test scores with either the CAL or OLPC programs. Our study suggests that among disadvantaged students in China’s rural areas and migrant communities, there is reason to believe that computer based learning can benefit both girls and boys equally. This finding has possible implications for China’s ongoing efforts to integrate computers and computing technologies into the nation’s underserved schools.

Recent anecdotal reports suggest that dropout rates may be higher and actually increasing over time in poor rural areas. There are many reasons not to be surprised that there is a dropout problem, given the fact that China has a high level of poverty among the rural population, a highly competitive education system and rapidly increasing wages for unskilled workers. The overall goal of this study is to examine if there is a dropout problem in rural China and to explore the effectiveness that a Conditional Cash Transfer (CCT) program could have on dropouts (and mechanism by which the CCT might affect drop outs). To meet this objective, we conducted a randomized controlled trial (RCT) of a CCT using a sample of 300 junior high school students in a nationally-designated poor county in Northwest China. Using our data, we found that the annual dropout rate in the study county was high, about 7%. We find, however, that a CCT program reduces drop outs by 60%; the dropout rate is 13.3%  in the control group and 5.3 % in the treatment group. The program is most effective in the case of girls, younger students and the poorest performing students. 

China's central government incrementally introduced various kinds of student financial aid since the late 1990s in response to public concerns about the rising burden of college prices. Despite the marked increase in financial assistance from governmental as well as non-governmental sources in recent years especially, little is known about how well aid is currently distributed across Chinese universities and whether it is successfully reaching needy students.

We use a unique randomly-sampled dataset of all local senior college students in one northwest province and a combination of non-parametric, semi-parametric and fixed effects methods to examine how various types of financial aid are currently distributed to students of different backgrounds across the university system. We also evaluate whether aid is reaching the main target population of low-income students. We primarily find that government-financed aid is allocated evenly across universities of varying selectivity and is reaching its target population of low-income students within universities. By contrast, university- and society-financed aid is not reaching low-income students. In addition, students in the most selective universities receive large implicit subsidies as they have high instructional costs, get more aid, and pay low tuition fees. Finally, a significant proportion of disadvantaged students do not seem to receive any type of aid.

Despite both requirements of and support for universal education up to grade 9, there are concerning reports that China is still suffering from high and maybe even rising dropout rates in some poor rural areas. Unfortunately, besides aggregated statistics from the Ministry of Education (which show almost universal compliance with the nine year compulsory education law), there is little independent, survey-based evidence on the nature of dropout in China. Between 2009 and 2010 we surveyed over 7,800 grade 7, 8, and 9 students from 46 randomly selected junior high schools in four counties in two provinces in North and Northwest China to measure the dropout rate. We also used the survey data to examine the factors that are correlated with dropping out, such as the opportunity cost of going to school, household poverty, and poor academic performance. According to the study’s findings, dropout rates between grade 7 and grade 8 reached 5.7 percent; dropout rates between grade 8 and grade 9 reached 9.0 percent. This means of the total number of students that matriculated into junior high school (those who were attending school during the first month of the first term of grade 7), 14.2 percent had left school by the first month of grade 9. Dropout rates were even higher for students that were older, from poorer families (and families in which the parents were not healthy), or were performing more poorly academically. We conclude that although the government’s policy of reducing tuition and fees for junior high students may be necessary, it is not sufficient to solve the dropout problem.

The education of disadvantaged populations has been a long-standing challenge to the education system in both developed and developing countries. Although computer-assisted learning (CAL) has been considered one alternative to improve learning outcomes in a cost-effective way, the empirical evidence of its impacts on improving learning outcomes is mixed. This paper uses a cluster randomized field experiment in 57 schools (26 schools were part of the CAL program; 31 control schools were not) to explore the effects of the CAL program on student academic and non-cognitive outcomes for students in public schools in minority rural areas in China. Our results show that a remedial, game-based CAL program that focused on teaching Chinese (held out of regular school hours) improved the standardized Chinese scores of the students in the treatment schools by 0.14-0.19 standard deviations more than those in the control schools. Moreover, CAL also had significant spillover effects on student standardized math test scores. Still further, our results also show insignificant positive effects of CAL intervention on student non-academic outcomes of interest in studying and metacognition, and significant positive effect on student self-efficacy of Chinese studying. In general, low-performing students benefited more from the program. The CAL intervention also had mixed effects on the non-academic outcomes of students from different ethnic minority groups.