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.

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.

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.