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The literature has shown that cognitive and non-cognitive development before the age of three is associated with children’s levels of development at later ages. However, the extent to which the different pathways of cognitive and non-cognitive development before age three (between 6–12 months and 22–30 months of age) are associated with developmental outcomes at primary school age remains unknown. This study aims to examine this research question using three waves of longitudinal data collected from 1087 children aged 9 to 10 years and their primary caregivers in rural China. Results demonstrated four pathways of cognitive and non-cognitive development between 6–12 months and 22–30 months of age. The four pathways include: “never delayed”, “persistently delayed”, “improving”, or “deteriorating.” Children that experienced either persistently delayed or deteriorating development had lower levels of cognitive and non-cognitive development and performed worse academically than children that were never delayed when they were 9–10 years old. Maternal education attainment, family assets, and whether the child was born prematurely all predicted the child’s entry into different developmental pathways. Findings suggest that early childhood development screening and interventions that aim to facilitate healthy early development among children under three years old are needed for rural China’s young children.

Journal Publisher
Humanities and Social Sciences Communications
Authors
Scott Rozelle
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SCCEI Seminar Series (Winter 2025)


Friday, January 17, 2025 | 12:00 pm -1:20 pm Pacific Time
Goldman Room E409, Encina Hall, 616 Jane Stanford Way



Effects of Referring Business Partners on Firm Networks and Performance


Firms often struggle to find and connect with suitable suppliers and clients, hindering growth and industrial development.  We surveyed 700 Chinese brush pen industry firms to understand their supplier-client networks and implemented a targeted referral program to address these barriers. The program introduced four treatment groups: screened referrals between likely compatible firms with a subsidy for the first transaction, random referrals with a subsidy for the first transaction, screened referrals without a subsidy, and control where firms were observed but received no referrals. We found that screened referrals with subsidies significantly increased subsequent transactions while partially crowding out prior partnerships; information-only referrals showed no impact. The referrals increase revenue, profit, and work hours among suppliers and growth-oriented clients. Suppliers upgraded product quality, while clients expanded product variety into higher-quality offerings, indicating complementary improvements within the supply chain. The intervention also shifted firms’ beliefs about the value of partnerships, spurring increased search efforts and forming additional non-referred partnerships, suggesting pessimistic beliefs as a critical friction in firm-to-firm access. Overall, the referrals yielded substantial private and social returns, underscoring the potential of targeted matchmaking interventions to drive industrial development.

Preview Prof. Cai’s research in a recent VoxChina article on Firm-to-Firm Referrals.

Please register for the event to receive email updates and add it to your calendar. Lunch will be provided.



About the Speaker 
 

Jing Cai headshot

Jing Cai is an Associate Professor at the University of Maryland. She received her PhD from the University of California at Berkeley in 2012. Her research areas are development economics and household finance. Her current research examines the growth of micro-enterprises and SMEs, impacts of tax incentives on firm behavior, and diffusion and impacts of financial innovations in developing countries. Dr. Cai is a Co-Chair of the firm sector of the Abdul Latif Jameel Poverty Action Lab (J-PAL), a Research Associate at the National Bureau of Economic Research (NBER), and a fellow of the Bureau for Research and Economic Analysis of Development (BREAD). She currently serves as an associate editor of the American Economic Journal: Applied Economics, the Journal of Development Economics, and the Economic Development and Cultural Change.


A NOTE ON LOCATION

Please join us in-person in the Goldman Conference Room located within Encina Hall on the 4th floor of the East wing.



Questions? Contact Xinmin Zhao at xinminzhao@stanford.edu
 


Goldman Room E409, Encina Hall

Jing Cai, Associate Professor, University of Maryland
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Background
Despite the benefits of exclusive breastfeeding, the proportion of exclusively breastfed children remains low in rural China. Self-efficacy is one of the most crucial modifiable factors predicting breastfeeding behavior. However, existing instruments in China do not specifically measure self-efficacy for exclusive breastfeeding but rather measure self-efficacy for any breastfeeding. Furthermore, they have been validated only in high-income Chinese settings. We sought to adapt and validate an instrument to measure exclusive breastfeeding self-efficacy within rural Chinese contexts.

Methods
We introduced relevant items to Dennis’ Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF), which can assess maternal self-efficacy for exclusive breastfeeding. It was then implemented in a multistage random cluster sampling design and cross-sectional survey with home-visit interviews among women 0–6 months postpartum (n = 654) in the rural areas of four counties in Sichuan, China. We performed item-total and adjusted item-total correlations, as well as exploratory factor analysis to remove redundant items and determine the latent factor structure. We further applied confirmatory factor analysis to test the dimensionality of the scale. We then assessed the reliability of the scale and conducted tests of predictive and divergent validity. Known group comparisons were made by primiparous status and breastfeeding support level. We compared the validated Exclusive Breastfeeding Self-Efficacy Scale with the BSES-SF in terms of reliability and validity to explore the added value of scale modification.

Results
Our modification of the BSES-SF to target exclusive breastfeeding produced 19 items. This was further reduced to 15 items based on adjusted item-total correlations and exploratory factor analysis, forming the Exclusive Breastfeeding Self-Efficacy Scale. This scale had three dimensions: “Breast milk supply and quality,” “Breastfeeding skills,” and “Exclusive breastfeeding” subscales. The Exclusive Breastfeeding Self-Efficacy Scale demonstrated strong internal consistency and overall reliability with a Cronbach’s alpha coefficient of 0.91. Predictive and divergent validity and known group comparison assessments supported its validity. Robust psychometric evaluations demonstrated enhanced validity and reliability compared to the original BSES-SF.

Conclusions
Our Exclusive Breastfeeding Self-Efficacy Scale is valid and reliable for measuring exclusive breastfeeding self-efficacy within rural Chinese contexts and is ready for adaptation and validation for clinical and programmatic use elsewhere, particularly within LMICs.

Journal Publisher
BMC Pregnancy and Childbirth
Authors
Scott Rozelle
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Against the backdrop of China’s post-1978 economic transformation, recent challenges such as COVID-19 have prompted speculations about rising popular pessimism regarding current inequalities and opportunities to get ahead. This study compares findings from three new nationally representative surveys conducted in 2023 with three earlier surveys from 2004, 2009, and 2014. Results reveal a significant attitudinal shift, with 2023 respondents expressing markedly more critical views about the fairness of current inequality patterns. Respondents in the 2023 surveys increasingly attribute poverty versus wealth to structural factors like unequal opportunities rather than to variations in individual merit. Respondents also reported lower expectations for future income growth compared with the earlier surveys. While not indicating imminent threats to political stability, such trends suggest that China’s leaders will likely face increasing skepticism and even critical popular responses as they try to mobilize their citizens to confront the serious challenges that China faces in coming years.

Journal Publisher
The China Journal
Authors
Scott Rozelle
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Big Data China logo

The event will be webcast live from this page.

In this online event, set for November 19, 6:30-7:30 am US PT, the Stanford Center on China’s Economy and Institutions (SCCEI) and the CSIS Trustee Chair in Chinese Business and Economics are releasing a new Big Data China feature that reviews recent literature evaluating the successes and failures of industrial policy in China and the conditions that shaped policy outcomes.

Trustee Chair Deputy Director Ilaria Mazzocco will moderate a discussion among experts on industrial policy in China today and its implications for the Chinese economy, global trade, and how policymakers in other countries should respond. Panelists will include Lee Branstetter (Carnegie Mellon University), Panle Jia Barwick (UW-Madison), Chloé Papazian (OECD), and Gerard DiPippo (Bloomberg Economics).  

FEATURING

Panle Jia Barwick
Todd E. and Elizabeth H. Warnock Distinguished Chair and Professor, Department of Economics, University of Wisconsin-Madison
Ilaria Mazzocco
Senior Fellow, Trustee Chair in Chinese Business and Economics
Lee Branstetter
James Walton Professor of Economics and Public Policy, Heinz College, Carnegie Mellon University
Gerard DiPippo
Senior Geo-Economics Analyst, Bloomberg Economics
Chloé Papazian
Trade Policy Analyst, Trade and Agriculture Directorate, OECD
 

EVENT PARTNERS
 

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Virtual Livestream 

Panle Jia Barwick
Lee Branstetter
Gerard DiPippo
Ilaria Mazzocco
Chloé Papazian
Panel Discussions
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SCCEI Seminar Series (Fall 2024)


Friday, November 22, 2024 | 12:00 pm -1:20 pm Pacific Time
Goldman Room E409, Encina Hall, 616 Jane Stanford Way



Response to Competition: Gender, Domains, and STEM Choice
 

Women’s lower performance in competitive environments has been advanced as an explanation for gender inequalities in the labor market. Using broadly representative Chinese administrative data, and measuring response to competition (RC) by performance changes from a mock exam to the competitive High School Entrance Exam, we document higher RC for boys in STEM and for girls in non-STEM subjects, with the male STEM RC advantage weakened by random exposure to high-performing female classmates in STEM. Both domain-specific RC measures significantly predict subsequent STEM track choice, accounting for 26% of the adjusted gender gap in STEM specialization, a known precursor to the gender pay gap.

Please register for the event to receive email updates and add it to your calendar. Lunch will be provided.



About the Speaker 
 

Jane Zhang headshot.

Jane Zhang is an Associate Professor at the University of New South Wales and a Visiting Scholar (2024-25) at the Stanford Center on China's Economy and Institutions. Her research examines how preferences and beliefs are shaped by policy, how they interact with incentives, and the role that they play in determining a wide-range of social outcomes. Her approach combines the use of tools from the experimental economics field, with the exploitation of natural experiments, field experiments, and controlled lab manipulations to make causal inferences about the determinants of preferences and beliefs. Her work has been published in outlets such as the Quarterly Journal of Economics, the Journal of Political Economy, the American Economic Review: Insights, the Review of Economics and Statistics, Economic Journal, and the Proceedings of the National Academy of Sciences. She received her PhD in Economics from U.C. Berkeley and BA in Economics from Stanford University.


A NOTE ON LOCATION

Please join us in-person in the Goldman Conference Room located within Encina Hall on the 4th floor of the East wing.



Questions? Contact Xinmin Zhao at xinminzhao@stanford.edu
 


Goldman Room E409, Encina Hall

Jane Zhang, Associate Professor of Economics, University of New South Wales
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A country’s national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country’s productivity and its GDP. Although social scientists have long studied the role of management practices in shaping business performance, their primary tool has been individual case studies. While useful for theory-building, such qualitative work is hard to scale and quantify. We present a large, scalable dataset measuring structured management practices at the business level across multiple countries. We measure practices related to performance monitoring, target-setting, and human resources. We document a set of key stylized facts, which we label “the international empirics of management”. In all countries, firms with more structured practices tend to also have superior economic performance: they are larger in scale, are more profitable, have higher labor productivity and are more likely to export. This consistency was not obvious ex-ante, and being able to quantify these relationships is valuable. We also document significant variation in practices across and within countries, which is important in explaining differences in the wealth of nations. The positive relationship between firm size and structured management practices is stronger in countries with more open and free markets, suggesting that stronger competition may allow firms with more structured management practices to grow larger, thereby potentially raising aggregate national income.

Journal Publisher
PNAS
Authors
Nicholas Bloom
Hongbin Li
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Skyline Scholar (2024-25), Stanford Center on China's Economy and Institutions
Assistant Professor, University of Chicago Harris School of Public Policy
shaoda_wang_headshot.jpg Ph.D.

Shaoda Wang is an Assistant Professor at the University of Chicago Harris School of Public Policy, a Faculty Research Fellow at the National Bureau of Economic Research (NBER), and an affiliate of the Bureau for Research and Economic Analysis in Development (BREAD). He also serves as the deputy faculty director of the China branches of the Becker Friedman Institute for Economics (BFI-China) and the Energy Policy Institute at UChicago (EPIC-China). He is an applied economist with research interests in development economics, environmental economics, and political economy, with a regional focus on China. He holds a BA from Peking University and a PhD from the University of California, Berkeley. Prior to joining Harris, he was a Postdoctoral Scholar in the Department of Economics and Energy Policy Institute (EPIC) at the University of Chicago.

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Decentralized Economic Statecraft


Speaker: Alicia Chen, PhD Candidate in Political Science, Stanford University

Economic statecraft requires countries to trade off security and economic gains. This study provides a framework to explain how China manages this dilemma by considering the allocation of Chinese foreign aid. The study documents how, unlike Western donors, Chinese aid is allocated by local politicians rather than central policymakers in Beijing, and that these politicians are subject to a competitive promotion system centered around generating economic growth and fiscal revenue. Under this incentive scheme, local politicians use foreign aid to meet economic targets at home for career advancement. The theory is tested using provincial- and contractor-level aid data and a regression discontinuity design that exploits age restrictions in China’s promotion system. The results show that promotion-eligible politicians commit nearly $20 million more in aid annually compared to their ineligible counterparts.


About the Workshops


Our Young Researcher Workshops offer emerging China scholars an opportunity to engage directly with interdisciplinary faculty and peers from across campus to discuss and receive feedback on their research. Each workshop features one or several PhD students presenting their latest empirical findings on issues related to China’s economy. Past topics have included college major selection as an obstacle to socioeconomic mobility, the effect of a cooling-off period on marriage outcomes, and factors contributing to government corruption. Faculty and senior scholars provide comments and feedback for improvement. This event series helps to build and strengthen Stanford’s community of young researchers working on China.

Workshops are held on select Fridays. Lunch will be provided! 

Visit the Young Researcher Workshops webpage for more information on the content and format of the series and to learn how to sign up to present. 



Questions? Contact Ragina Johnson at raginaj@stanford.edu
 


Goldman Room, Encina Hall, E409

Alicia Chen, PhD Candidate in Political Science, Stanford University
Workshops
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Science Under Pressure: Global Decoupling, Ideological Recalibration, and the Future of Knowledge in China


Speaker: Naiyu Jiang, PhD Candidate in Political Science, Stanford University

This project examines how external geopolitical pressures and domestic political shifts are reshaping knowledge production in China. Specifically, it asks how targeted U.S. sanctions—such as the 2020 visa restrictions on researchers in critical fields—have affected the volume, quality, and global integration of Chinese scientific output. At the same time, this study explores how growing ideological control since the 2010s has redirected the thematic priorities and intellectual orientation of social science research in China. Drawing on two large-scale datasets—over 70 million Chinese-language publications from CNKI (1995–2024) and 80 million global articles from Web of Science (1972–2024)—the project traces shifts in collaboration networks, funding patterns, and research agendas across disciplines. It aims to provide a comprehensive account of how China’s research system is being reconfigured by both global decoupling and domestic political realignment—and what this transformation means for the future of cross-border knowledge production.


About the Workshops


Our Young Researcher Workshops offer emerging China scholars an opportunity to engage directly with interdisciplinary faculty and peers from across campus to discuss and receive feedback on their research. Each workshop features one or several PhD students presenting their latest empirical findings on issues related to China’s economy. Past topics have included college major selection as an obstacle to socioeconomic mobility, the effect of a cooling-off period on marriage outcomes, and factors contributing to government corruption. Faculty and senior scholars provide comments and feedback for improvement. This event series helps to build and strengthen Stanford’s community of young researchers working on China.

Workshops are held on select Fridays from 12 - 1 pm. Lunch will be provided! 

Visit the Young Researcher Workshops webpage for more information on the content and format of the series and to learn how to sign up to present. 



Questions? Contact Ragina Johnson at raginaj@stanford.edu
 


Goldman Room, Encina Hall, E409

Naiyu Jiang, PhD Candidate in Political Science, Stanford University
Workshops
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