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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. It significantly raises the child's rank in the income distribution. Nevertheless, it does not change the intergenerational relationship in income ranks or guarantee one's entry into an elite occupation or industry. Second, although access to elite colleges increases with parental income, the income gradient is much flatter than in the United States. Third, the score-based cutoff rule in elite college admission is income neutral. Overall, these findings reveal the efficacy and limitations of China's elite colleges in shaping social mobility.

Authors
Hongbin Li
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In many developing countries, low population density may be a major reason for low school participation in rural areas, and the problem is likely to worsen with rapid urbanization. However, few studies have investigated empirically the role of population density in rural education, especially the moderating effect of population density on the outcomes of education policies. This study aims to fill this gap in the literature. From 1999 through the early 2000s, China launched a set of major nationwide policies aimed at universalizing 9-year compulsory education in rural areas. Using differencein- differences and triple difference strategies, we show that the policies significantly increased the probability of junior high school enrollment of rural children and, more importantly, these policies were more effective in densely populated regions. These fi ndings confi rm the importance of population density to rural education.

Journal Publisher
China & World Economy
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Big Data China logo

The event will be webcast live from this page.

The Stanford Center on China’s Economy and Institutions (SCCEI) and the CSIS Trustee Chair in Chinese Business and Economics launch the third feature of the new collaboration, Big Data China, on July 27 at 9 a.m. PDT / 12 p.m. EDT.  The feature, “The AI-Surveillance Symbiosis in China,” highlights the work of professors Noam Yuchtman (London School of Economics) and David Yang (Harvard University) and their colleagues. The feature shows how China‘s large-scale investments in surveillance technology is both enhancing the state‘s capacity to repress dissent and providing commercial advantage to Chinese AI companies operating in the facial recognition and surveillance space.


The event will feature a presentation of the key findings of the analysis and its implications for the Washington policy community by Noam Yuchtman of London School of Economics, David Yang of Harvard University, and Trustee Chair Fellow Ilaria Mazzocco. Trustee Chair Director Scott Kennedy will moderate a panel discussion which will include questions from the public and questions from the audience. The distinguished panelists for the event are: Emily Weinstein of CSET, Paul Mozur of the New York Times, and Trustee Chair non-resident senior associate Paul Triolo


WATCH THE RECORDING

FEATURING

Noam Yuchtman 
Professor of Managerial Economics and Strategy, London School of Economics and Political Science
David Yang 
Assistant Professor of Economics, Harvard University
Emily Weinstein  
Research Fellow, Center for Security and Emerging Technology (CSET), Georgetown University
Paul Mozur 
Correspondent, New York Times
Scott Kennedy 
Senior Adviser and Trustee Chair in Chinese Business and Economics
Ilaria Mazzocco 
Fellow, Trustee Chair in Chinese Business and Economics
Paul Triolo 
Senior Associate (Non-resident), Trustee Chair in Chinese Business and Economics
 

EVENT PARTNERS
 

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Virtual Livestream 

Scott Kennedy
Ilaria Mazzocco
Paul Mozur
Paul Triolo
Emily Weinstein
David Yang
Noam Yuchtman
Panel Discussions
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Global Health Economics, China, & the Science of Health Care Delivery in the Digital Age


Advances in artificial intelligence, use of "big data", digital platforms enabling mass collaboration, automation, the "internet-of-things" and other so-called "4th Industrial Revolution" (4IR) technologies are enabling a radical shift in how healthcare is delivered. Few places are attempting to integrate these technologies into healthcare as rapidly as China. This talk will discuss China's comparative advantage in the adoption of these technologies and lay out a research agenda for the economics of digital health. While these technologies bring potential to produce massive improvements in access to high-quality care and lower costs, this result is far from certain. Beyond mere technical uncertainty, 4IR technologies are likely to produce profound changes in healthcare markets by altering the nature of incentives in the health system and relationships between patients, providers, payers. Evidence on these issues is needed to inform policy and regulation aiming to maximize social value and mitigate unintended consequences. Specific applications will be drawn from online research in China and other middle-income countries.


About the Speaker

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Sean Sylvia headshot.

Sean Sylvia is an Assistant Professor of health economics at UNC. His primary research interest is in the delivery of healthcare in China and other middle-income countries. Working with multidisciplinary teams of collaborators, he conducts large-scale population-based surveys and randomized trials to develop and test new approaches to provide healthcare to the poor and marginalized. His recent work focuses on the use of information technology to expand access to quality healthcare. 


For more information, please visit his personal website.


This event will be held in-person at Stanford University, masks are not required but strongly encouraged.

Questions? Contact sccei-communications@stanford.edu


 

Philippines Room, C330, Encina Hall, Stanford University

Sean Sylvia
Seminars
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This paper examines the impact of parental beliefs on child development outcomes (for both cognitive and social–emotional skills) based on a three-wave longitudinal survey in rural China. The survey waves were conducted when the sample children were 18–30 months, 22–36 months, and 49–65 months, respectively. A total of 815 children and their primary caregivers who participated in all three wave surveys were enrolled in this study. Using difference-in-differences and propensity score matching approaches, the results indicate that strengthened parental beliefs have a positive and significant impact on child social–emotional development. Specifically, between the periods of the Wave 1 survey (when children were 18–30 months old) and the Wave 3 survey (when children were 49–65 months old), and between the Wave 2 survey (when children were 22–36 months old) and the Wave 3 survey, strengthened parental beliefs were causally associated with more favorable child social–emotional scores by 0.44 SD (p < 0.01) and 0.49 SD (p < 0.01), respectively. No significant impact, however, was found between the period of the Wave 1 survey and the Wave 2 survey. In contrast, weakened parental beliefs had a negative and significant impact on child social–emotional development. Specifically, weakened parental beliefs were causally associated with worse child social–emotional abilities by 0.35 SD (p < 0.01), 0.30 SD (p < 0.01), and 0.22 (p < 0.05) for the time period of the Wave 1 to Wave 2, Wave 1 to Wave 3, and Wave 2 to Wave 3, respectively. No significant impact of parental beliefs, however, was found on child cognitive development. In addition, the findings of the mediation analysis show that only a marginal impact of parental beliefs on child social–emotional development can be indirectly explained by parental beliefs through parenting practices. This study calls on policy makers to improve parental beliefs and parenting practices in the hope that it will lead to better child development in rural China.

Journal Publisher
International Journal of Environmental Research and Public Health
Authors
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The Hoover Project on China’s Global Sharp Power and the Stanford Center on China's Economy and Institutions invite you to Banking on Beijing: The Aims and Impacts of China’s Overseas Development Program on Tuesday, June 7 from 2 - 3PM PT.

Is China a “rogue donor” that uses its largesse to prop up corrupt and authoritarian regimes? Does Beijing bankroll politically motivated and economically inefficient ‘‘white elephants”? What are the risks of borrowing from Beijing? The existing debate about China’s overseas lending and grant-giving activities is largely guided by opinion and conjecture rather than rigorous evidence. In this talk, Dr. Parks will set the record straight with a new dataset of international development finance from China that captures 13,427 projects worth $843 billion across 165 countries over an 18-year period.


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Banking On Beijing: The Aims And Impacts Of China’s Overseas Development Program even speaker line up.

Zoom Webinar

Brad Parks
Larry Diamond
Scott Rozelle
Glenn Tiffert
Panel Discussions
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Topic
This systematic review and meta-analysis summarizes existing evidence to establish whether vision impairment, ocular morbidity and their treatment are associated with depression and anxiety in children.

Clinical Relevance
Understanding and quantifying these associations support early detection and management of mental health symptoms in children with vision impairment and ocular morbidity. Additionally, this review provides evidence in favour of insurance coverage for timely strabismus surgery.

Methods
We searched nine electronic databases from inception to February 18, 2021, including observational and interventional studies assessing whether vision impairment and/or ocular morbidity and their treatment are associated with depression and/or anxiety in children. We used narrative synthesis and meta-analysis with the residual maximum likelihood method. A protocol was registered and published on The International Prospective Register of Systematic Reviews (PROSPERO, CRD42021233323).

Results
Among 28,992 studies, 28,956 (99.9%) were excluded as duplicates or unrelated content. Among 36 remaining studies, 21 (58.3%) were observational studies concerning vision impairment, eight (22.2%) were observational studies concerning strabismus, and seven (19.4%) were interventional studies. Vision-impaired children experienced significantly higher scores of depression (Standard Mean Difference [SMD] 0.57, 95% Confidence Interval (CI) 0.26-0.89, 11 studies) and anxiety (SMD 0.61, 95% CI 0.40-0.821, 14 studies) than normally-sighted children. In particular, myopic children experienced higher scores of depression (SMD 0.59, 95% CI 0.36-0.81, six studies) than normally-sighted children. Strabismus surgery significantly improved symptoms of depression (SMD: 0.59 95% CI 0.12-1.06, three studies) and anxiety (SMD: 0.69 95% CI 0.24-1.14, four studies) in children.

Discussion
Among children, vision impairment is associated with greater symptoms of depression and anxiety. Surgical treatment of strabismus improved these symptoms. Further randomized controlled trials exploring the impact of public health measures for myopia correction on mental health in children are needed. Scaling up access to strabismus surgery could improve the mental health of affected children.

Journal Publisher
Ophthalmology
Authors
Xinshu She
Huan Wang
Matthew Boswell
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Academic achievement in middle schools in rural China remains poor for many students. This study examines whether programmes and interventions can improve academic achievement by reviewing rigorous experimental evaluations of nine programmes (11 interventions) on 47,480 rural middle school students in China. The results find none of the interventions improved academic achievement. Moreover, we find no evidence for heterogeneous treatment effects by student gender, age or previous academic achievement. These results may be due in part to the academically-demanding nature of the middle school curriculum, which is applied universally to students with varying levels of cognitive ability.

Journal Publisher
Journal of Development Effectiveness
Authors
Prashant Loyalka
Scott Rozelle
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Join the CSIS Trustee Chair in Chinese Business and Economics and the Stanford Center on China’s Economy and Institutions (SCCEI) for the launch of the second feature of their collaboration, Big Data China, on May 27, 12:00-1:15 pm ET. Our latest digital report, “How Inequality Is Undermining China’s Prosperity,” written by CSIS Fellow Ilaria Mazzocco, highlights the path-breaking work of Stanford scholars Scott Rozelle, Hongbin Li, and their colleagues. By analyzing data on inequality and its sources, the feature shows how trends in China’s labor market, educational attainment, automation, and rural employment are conspiring to harden inequality, which could hurt prospects for growth and undermine political stability. These developments will complicate how the United States should address the China challenge in the years ahead.

Following a presentation by Scott Rozelle of Stanford University on the key findings of the analysis and its implications for the Washington policy community, Trustee Chair Fellow Ilaria Mazzocco will moderate the panel discussion and questions from the audience. The distinguished panelists for the event include Mary Gallagher of the University of Michigan, Mary E. Lovely of the Peterson Institute and Syracuse University, and Martin K. Whyte of Harvard University.


Watch the Recording:

FEATURING

Scott Rozelle 
Helen F. Farnsworth Senior Fellow, FSI and SIEPR, 
& Co-director, SCCEI,  
Stanford University
Mary Gallagher 
Professor, Democracy, Democratization, and Human Rights, University of Michigan
Mary E. Lovely 
Senior Fellow, Peterson Institute 
for International Economics; 
Professor Emeritus, Department 
of Economics, Syracuse University
Martin K. Whyte 
Professor Emeritus, International Studies and Sociology, Harvard University
Ilaria Mazzocco 
Fellow, Trustee Chair in Chinese Business and Economics
 

 

EVENT PARTNERS
 

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SCCEI and CSIS logos

Virtual Livestream 

Mary Gallagher
Mary Lovely
Ilaria Mazzocco
Scott Rozelle
Martin Whyte
Panel Discussions
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Journal Articles
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The objectives of this paper were to examine the risk of depression and depressive symptoms among Han and minority children and adolescents in rural China, the links between academic performance and depressive symptoms, and the prevalence of these links among specific subgroups. A total of 8392 4th, 5th, and 6th grade students at 105 sample rural schools in eight low-income counties and districts in a prefectural-level city in Southwestern China were randomly selected using a three-step sampling strategy. A total of 51% of the sample were female (SD = 0.50), and the age range was 7 to 19 years (mean = 11.35 years; SD = 1.05). Using the Patient Health Questionnaire 8-item depression scale, the prevalence of depressive symptoms in the sample was assessed, while data on students’ academic performance (standardized math test) and demographic characteristics were also collected. Our results show that the rates of major depression were 19% for Han students, 18% for Tibetan students, and 22% for Yi students; the rates of severe depression were 2% for Han and Tibetan students, and 3% for Yi students. Yi students were at significantly higher risks for major and severe depression than Han students. We conducted multivariate regression and heterogeneous analyses. Academic performance was negatively and significantly correlated to depressive symptoms. Across the whole sample, students with lower math scores, minority students, boys, younger students, and students with migrant parents were most vulnerable to depressive symptoms. The heterogeneous analysis suggests that among poor-performing students, subgroups at higher risk for depression include boys, non-boarding students, and students whose mothers had graduated from high school or above. These findings indicate a need to improve mental health outcomes of rural Han and minority primary school students, targeting academic performance for possible intervention.

Journal Publisher
International Journal of Environmental Research and Public Health
Authors
Scott Rozelle
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