Health, economic, and social implications of COVID-19 for China's rural population.

This study examines the effects of local and nationwide COVID-19 disease control measures on the health and economy of China's rural population. We conducted phone surveys with 726 randomly selected village informants across seven rural Chinese provinces in February 2020. Four villages (0.55%) reported infections, and none reported deaths. Disease control measures had been universally implemented in all sample villages. About 74% of informants reported that villagers with wage-earning jobs outside the village had stopped working due to workplace closures. A higher percentage of rural individuals could not work due to transportation, housing, and other constraints. Local governments had taken measures to reduce the impact of COVID-19. Although schools in all surveyed villages were closed, 71% of village informants reported that students were attending classes online. Overall, measures to control COVID-19 appear to have been successful in limiting disease transmission in rural communities outside the main epidemic area. Rural Chinese citizens, however, have experienced significant economic consequences from the disease control measures.

Skill levels and gains in university STEM education in China, India, Russia and the United States.

Universities contribute to economic growth and national competitiveness by equipping students with higher-order thinking and academic skills. Despite large investments in university science, technology, engineering and mathematics (STEM) education, little is known about how the skills of STEM undergraduates compare across countries and by institutional selectivity. Here, we provide direct evidence on these issues by collecting and analysing longitudinal data on tens of thousands of computer science and electrical engineering students in China, India, Russia and the United States. We find stark differences in skill levels and gains among countries and by institutional selectivity. Compared with the United States, students in China, India and Russia do not gain critical thinking skills over four years. Furthermore, while students in India and Russia gain academic skills during the first two years, students in China do not. These gaps in skill levels and gains provide insights into the global competitiveness of STEM university students across nations and institutional types.

Instructional interventions for improving COVID-19 knowledge, attitudes, behaviors: Evidence from a large-scale RCT in India.

Seeking ways to encourage broad compliance with health guidelines during the pandemic, especially among youth, we test two hypotheses pertaining to the optimal design of instructional interventions for improving COVID-19-related knowledge, attitudes, and behaviors. We randomly assigned 8376 lower-middle income youth in urban India to three treatments: a concentrated and targeted fact-based, instructional intervention; a longer instructional intervention that provided the same facts along with underlying scientific concepts; and a control. Relative to existing efforts, we find that both instructional interventions increased COVID-19-related knowledge immediately after intervention. Relative to the shorter fact-based intervention, the longer intervention resulted in sustained improvements in knowledge, attitudes, and self-reported behavior. Instead of reducing attention and comprehension by youth, the longer scientific based treatment appears to have increased understanding and retention of the material. The findings are instrumental to understanding the design of instruction and communication in affecting compliance during this and future pandemics.

Tracking the effects of COVID-19 in rural China over time.

BACKGROUND: China issued strict nationwide guidelines to combat the COVID-19 outbreak in January 2020 and gradually loosened the restrictions on movement in early March. Little is known about how these disease control measures affected the 600 million people who live in rural China. The goal of this paper is to document the quarantine measures implemented in rural China outside the epicenter of Hubei Province and to assess the socioeconomic effect of the measures on rural communities over time. METHODS: We conducted three rounds of interviews with informants from 726 villages in seven provinces, accounting for over 25% of China's overall rural population. The survey collected data on rural quarantine implementation; COVID-19 infections and deaths in the survey villages; and effects of the quarantine on employment, income, education, health care, and government policies to address any negative impacts. The empirical findings of the work established that strict quarantine measures were implemented in rural villages throughout China in February. RESULTS: There was little spread of COVID-19 in rural communities: an infection rate of 0.001% and zero deaths reported in our sample. However, there were negative social and economic outcomes, including high rates of unemployment, falling household income, rising prices, and disrupted student learning. Health care was generally accessible, but many delayed their non-COVID-19 health care due to the quarantine measures. Only 20% of villagers received any form of local government aid, and only 11% of villages received financial subsidies. There were no reports of national government aid programs that targeted rural villagers in the sample areas. CONCLUSIONS: By examining the economic and social effects of the COVID-19 restrictions in rural communities, this study will help to guide other middle- and low-income countries in their containment and restorative processes. Without consideration for economically vulnerable populations, economic hardships and poverty will likely continue to have a negative impact on the most susceptible communities.

Schooling and Covid-19: lessons from recent research on EdTech.

The wide-scale global movement of school education to remote instruction due to Covid-19 is unprecedented. The use of educational technology (EdTech) offers an alternative to in-person learning and reinforces social distancing, but there is limited evidence on whether and how EdTech affects academic outcomes. Recently, we conducted two large-scale randomized experiments, involving ~10,000 primary school students in China and Russia, to evaluate the effectiveness of EdTech as a substitute for traditional schooling. In China, we examined whether EdTech improves academic outcomes relative to paper-and-pencil workbook exercises of identical content. We found that EdTech was a perfect substitute for traditional learning. In Russia, we further explored how much EdTech can substitute for traditional learning. We found that EdTech substitutes only to a limited extent. The findings from these large-scale trials indicate that we need to be careful about using EdTech as a full-scale substitute for the traditional instruction received by schoolchildren.

Computer science skills across China, India, Russia, and the United States.

We assess and compare computer science skills among final-year computer science undergraduates (seniors) in four major economic and political powers that produce approximately half of the science, technology, engineering, and mathematics graduates in the world. We find that seniors in the United States substantially outperform seniors in China, India, and Russia by 0.76-0.88 SDs and score comparably with seniors in elite institutions in these countries. Seniors in elite institutions in the United States further outperform seniors in elite institutions in China, India, and Russia by ∼0.85 SDs. The skills advantage of the United States is not because it has a large proportion of high-scoring international students. Finally, males score consistently but only moderately higher (0.16-0.41 SDs) than females within all four countries.

China's Left-Behind Children: Impact Of Parental Migration On Health, Nutrition, And Educational Outcomes.

China's rapid development and urbanization have induced large numbers of rural residents to migrate from their homes to urban areas in search of better job opportunities. Parents typically leave their children behind with a caregiver, creating a new, potentially vulnerable subpopulation of left-behind children in rural areas. A growing number of policies and nongovernmental organization efforts target these children. The primary objective of this study was to examine whether left-behind children are really the most vulnerable and in need of special programs. Pulling data from a comprehensive data set covering 141,000 children in ten provinces (from twenty-seven surveys conducted between 2009 and 2013), we analyzed nine indicators of health, nutrition, and education. We found that for all nine indicators, left-behind children performed as well as or better than children living with both parents. However, both groups of children performed poorly on most of these indicators. Based on these findings, we recommend that special programs designed to improve health, nutrition, and education among left-behind children be expanded to cover all children in rural China.

The cost of disability in China.

We describe the degree to which household income is negatively associated with the prevalence of different types of disability (i.e., medical impairments) in China using data from the 2006 Second National Survey of Disabled Persons. We then calculate the extra costs of disability across different types of households and show how these costs differ by the type and severity of disability in both urban and rural areas. Finally, we use nationally representative panel data on persons with disabilities from 2007 to 2009 to examine the degree to which social security is reaching persons with different types and severity of disabilities in both urban and rural areas. We conclude that although the amount and coverage of social security for households with disabilities is increasing rapidly, it is still not enough to offset the income differential between households with and without disabled persons, especially when we account for the extra costs of disability.

The effects of attending selective college tiers in China.

We estimate the effects of attending the first versus second-tier of higher education institutions on Chinese students' at-college and expected post-college outcomes using various quasi-experimental methods such as regression discontinuity, genetic matching, and regression discontinuity controlling for covariates. Overall we find that just attending the first versus second-tier makes little difference in terms of students' class ranking, net tuition, expected wages, or likelihood of applying for graduate school. The results do show, however, that just attending the first versus second tier makes it less likely that students will get their preferred major choice.