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Senior Research Scholar, Stanford Center on China's Economy and Institutions
Senior Research Fellow, International Food Policy Research Institute
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Yanyan Liu is a Senior Research Scholar at the Stanford Center on China’s Economy and Institutions and a Senior Research Fellow at the International Food Policy Research Institute (IFPRI). Her research focuses on program impact evaluation, poverty prediction, microfinance, microinsurance, and economic transformation. Her work has been published in journals such as the American Economic Review, Proceedings of the National Academy of Sciences of the United States of America (PNAS), Economic Journal, European Economic Review, Nature Sustainability, and Nature Human Behaviour. Prior to joining IFPRI in 2009, Yanyan worked at RTI International and in the Development Research Group at the World Bank. She holds a BA in International Economics from Nankai University, an MS in Statistics, and a joint PhD in Economics and Agricultural Economics from Michigan State University.

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Assistant Professor, Chinese Studies, KU Leuven
Assistant Professor, Economics, KU Leuven
Research Affiliate, Rural Education Action Program
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Dorien Emmers is an assistant professor in Chinese Studies and Economics at KU Leuven. Her research interests center around the economics and measurement of human capital formation and social mobility. She has been involved in the design and evaluation of field experiments testing the effectiveness of early childhood interventions in rural China. She’s currently working on the observation-based measurement of early skill formation. Dorien previously worked as a lecturer on Chinese politics at the KU Leuven Chinese Studies Unit and was a Postdoctoral Scholar at the Stanford Center on China's Economy an Institutions. She completed her Ph. D. in Economics at KU Leuven LICOS — Centre for Institutions and Economic Performance. She previously graduated magna cum laude from the Bachelor and Master of Arts in Sinology and the Master of Science in Research in Economics at KU Leuven. She considers her background in the non-disciplinary-specific study of the Chinese language and area as a perfect complement of the non-area-specific discipline of economics.

Encina Hall East, 4th floor
616 Jane Stanford Way
Stanford, CA 94305-6055

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Senior Fellow at the Freeman Spogli Institute for International Studies
Associate Professor at the Graduate School of Education
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Prashant Loyalka is an Associate Professor at the Graduate School of Education and a Senior Fellow at the Freeman Spogli Institute for International Studies at Stanford University. His research focuses on examining/addressing inequalities in the education of children and youth and on understanding/improving the quality of education received by children and youth in multiple countries including China, India, Russia, and the United States. He also conducts large-scale evaluations of educational programs and policies that seek to improve student outcomes.

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In Taiwan, thousands of students from Yuanzhumin (aboriginal) families lag far behind their Han counterparts in academic achievement. When they fall behind, they often have no way to catch up. There is increased interest among both educators and policymakers in helping underperforming students catch up using computer-assisted learning (CAL). The objective of this paper is to examine the impact of an intervention aimed at raising the academic performance of students using an in-home CAL program. According to intention-to-treat estimates, in-home CAL improved the overall math scores of students in the treatment group relative to the control group by 0.08 to 0.20 standard deviations (depending on whether the treatment was for one or two semesters). Furthermore, Average Treatment Effect on the Treated analysis was used for solving the compliance problem in our experiment, showing that in-home CAL raised academic performance by 0.36 standard deviations among compliers. This study thus presents preliminary evidence that an in-home CAL program has the potential to boost the learning outcomes of disadvantaged students.

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Sustainability
Authors
Yue Ma
Scott Rozelle
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Purpose: Although China has instituted compulsory education through Grade 9, it is still unclear whether students are, in fact, staying in school. In this paper, the authors use a multi-year (2003–2011) longitudinal survey data set on rural households in 102–130 villages across 30 provinces in China to examine the extent to which students still drop out of school prior to finishing compulsory education.

Design/methodology/approach: To examine the correlates of dropping out, the study uses ordinary least squares and multivariate probit models.

Findings: Dropout rate from junior high school was still high (14%) in 2011, even though it fell across the study period. There was heterogeneity in the measured dropout rate. There was great variation among different regions, and especially among different villages. In all, 10% of the sample villages showed extremely high rates during the study period and actually rose over time. Household characteristics associated with poverty and the opportunity cost of staying in school were significantly and negatively correlated with the completion of nine years of schooling.

Research limitations/implications: The findings of this study suggest that China needs to take additional steps to overcome the barriers keeping children from completing nine years of schooling if they hope to either achieve their goal of having all children complete nine years of school or extend compulsory schooling to the end of twelfth grade.

Originality/value: The authors seek to measure the prevalence of both compulsory education rates of dropouts and rates of completion in China. The study examines the correlates of dropping out at the lower secondary schooling level as a way of understanding what types of students (from what types of villages) are not complying with national schooling regulations. To overcome the methodological shortcomings of previous research on dropout in China, the study uses a nationally representative, longitudinal data set based on household surveys collected between 2003 and 2011.

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China Agricultural Economic Review
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Scott Rozelle
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BY SCOTT ROZELLE, HEATHER RAHIMI, HUAN WANG AND EVE DILL

COVID-19 lockdowns have major impacts on migrant workers and supply chains that depend on them. Scott Rozelle and his team find that the lockdowns in China were successful in protecting rural areas from COVID infections, but that the cost was severe: Poor rural households cut down on education, nutrition, and health expenditures and lost around $100 billion in migrant worker wages.—Johan Swinnen, series co-editor and IFPRI Director General.

Read the full blog post here to learn about REAP's village-level survey of the impact of COVID-19 control measures on rural China. 

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Neurocysticercosis (NCC) significantly contributes to morbidity in developing countries. We recently published a study of prevalence and risk factors in school-aged children in three mountainous areas in Sichuan province of western China. Using structural equation modeling (SEM) on data from that study to guide intervention planning, here we examine risk factors grouped into three broad interventional categories: sociodemographics, human behavior, and sources of pork and pig husbandry. Because neuroimaging is not easily available, using SEM allows for the use of multiple observed variables (serological tests and symptoms) to represent probable NCC cases. Data collected from 2608 students was included in this analysis. Within this group, seroprevalence of cysticercosis IgG antibodies was 5.4%. SEM results showed that sociodemographic factors (b = 0.33, p < 0.05), sources of pork and pig husbandry (b = 0.26, p < 0.001), and behavioral factors (b = 0.33, p < 0.05) were all directly related to probable NCC in school-aged children. Sociodemographic factors affected probable NCC indirectly via sources of pork and pig husbandry factors (b = 0.07, p < 0.001) and behavioral variables (b = 0.07, p < 0.001). Both sociodemographic factors (b = 0.07, p < 0.05) and sources of pork and pig husbandry factors (b = 0.10, p < 0.01) affected probable NCC indirectly via behavioral variables. Because behavioral variables not only had a large direct effect but also served as a critical bridge to strengthen the effect of sociodemographics and sources of pork and pig husbandry on probable NCC, our findings suggest that interventions targeting behavioral factors may be the most effective in reducing disease.
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Environmental Research and Public Health
Authors
Alexis Medina
Scott Rozelle
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Author Chen Ying writes about Professor Scott Rozelle and REAP's projects supporting youth in rural China. Read full text here.  

罗斯高,斯坦福大学教授,发展经济学家。扎根中国农村近40年,是不折不扣的中国通。近十年来,罗斯高教授和他中国的同事在贫困农村开展一系列针对农村儿童的研究,并设计干预实验寻求解决方案...

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The goal of this paper is to describe and analyze the relationship between ability tracking and student social trust, in the context of low-income students in developing countries. Drawing on the results from a longitudinal study among 1,436 low-income students across 132 schools in rural China, we found a significant lack of interpersonal trust and confidence in public institutions among poor rural young adults. We also found that slow-tracked students have a significantly lower level of social trust, comprised of interpersonal trust and confidence in public institutions, relative to their fast-tracked peers. This disparity might further widen the gap between relatively privileged students who stay in school and less privileged students who drop out of school. These results suggest that making high school accessible to more students may improve social trust among rural low-income young adults.

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School Effectiveness and School Improvement
Authors
Prashant Loyalka
Scott Rozelle
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This is an excerpt of the original article, which can be found on Sixth Tone. You can read the original article here.

Rural Chinese children have a significant delay in their cognitive development compared with their urban counterparts, researchers have found, which could potentially hinder the country’s economic development.

Of the 1,808 children aged 12 to 30 months old who were surveyed in rural counties of Shaanxi province, northwestern China, 57 percent scored below a certain threshold on an international infant mental development scale. The Rural Education Action Program (REAP), founded by Stanford University in California, in partnership with several Chinese institutions, published their findings earlier this month in The China Journal, a scholarly periodical.

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