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Senior Research Scholar, Stanford Center on China's Economy and Institutions
Senior Research Fellow, International Food Policy Research Institute
yanyan-liu.jpg PhD

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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Bing Professor of Environmental Science, Department of Biology
Senior Fellow, Stanford Woods Institute for the Environment
Faculty Affiliate at the Stanford Center on China's Economy and Institutions
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Gretchen C. Daily (she/her) is co-founder and Faculty Director of the Stanford Natural Capital Project. Founded in 2005, the Natural Capital Project (NatCap) is a global partnership whose goal is to integrate the values of nature into planning, policy, finance, and management. Its tools and approaches are now applied in 185 nations through NatCap’s free, open-source InVEST Software Platform.

Daily is the Bing Professor of Environmental Science in the Department of Biology at Stanford University, the Director of the Center for Conservation Biology at Stanford, and a senior fellow at the Stanford Woods Institute for the Environment.

Daily’s work is focused on understanding human dependence and impacts on nature and the deep societal transformations needed to secure people and nature. Her work spans fundamental research and policy-oriented initiatives to open inclusive and green development pathways.  She co-develops pragmatic approaches, engaging with governments, multilateral development banks, investors, businesses, farmers and ranchers, communities, and NGOs. 

Together with many colleagues, Daily has published about four hundred scientific and popular articles, and thirteen books, including Nature’s Services: Societal Dependence on Natural Ecosystems (1997), The New Economy of Nature: The Quest to Make Conservation Profitable (2002), Natural Capital: Theory and Practice of Mapping Ecosystem Services (2011), The Power of Trees (2012), One Tree (2018), Green Growth that Works: Natural Capital Policy and Finance Mechanisms Around the World (2019), and Rural Livelihood and Environmental Sustainability in China (2020 in English).

Daily is a fellow of the U.S. National Academy of Sciences, the American Academy of Arts, and Sciences and the American Philosophical Society.

She has received numerous international honors including the 2020 Tyler Prize for Environmental Achievement, 2017 Blue Planet Prize, 2019 BBVA Frontiers of Knowledge Award, 2012 Volvo Environment Prize, 2010 Midori Prize for Biodiversity, and the 2009 International Cosmos Prize.

Co-Founder and Faculty Director, Natural Capital Project
Director, Center for Conservation Biology
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Scott Kennedy, CSIS Trustee Chair and SCCEI partner on the "Big Data China"  collaboration, joins Yiqing Xu, SCCEI Faculty Affiliate, on the podcast Politics+Media 101 where they discuss the war in Ukraine, Russia-China relations, and the possible implications the war may have on China-US relations.

Listen to the whole conversation starting starting at the 27:10 time mark, the first half of the podcast features U.S. Marine Corps Colonel Mark Cancian of CSIS. 

Listen to the episode here or click below: 

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Big Data China logo in front of Shanghai cityscape
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SCCEI Launches "Big Data China" in Collaboration with the Center for Strategic and International Studies (CSIS)

"Big Data China" aims to bridge the gap between cutting-edge quantitative academic research and the Washington policy community. On February 11, 2022, SCCEI and CSIS hosted their first Big Data China event, "A Liberal Silent Majority in China?" Curated highlights from the first feature of the collaboration are included below.
SCCEI Launches "Big Data China" in Collaboration with the Center for Strategic and International Studies (CSIS)
Data graph lines over cityscape in China.
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SCCEI Launches New Impact Initiative with the China Briefs

The SCCEI China Briefs are short features that translate top-quality academic research into evidence-based insights for those interested in China and U.S.-China relations. Released twice a month, the briefs will cover timely issues that inform policy and advance the public understanding of China and its role on the global stage.
SCCEI Launches New Impact Initiative with the China Briefs
US & China Flags.
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Conference Highlights Need for US-China Collaboration

Panel at Stanford China Economic Forum discusses climate change, financial technology as key areas of mutual interest.
Conference Highlights Need for US-China Collaboration
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CSIS Trustee Chair and SCCEI Collaborator Scott Kennedy and SCCEI Faculty Affiliate Yiqing Xu join the podcast Politics+Media 101 to discuss Russia-China relations and the possible implications the war in Ukraine will have on China-US relations.

Encina Hall East, 4th Floor,
Stanford, CA 94305-6055

650-725-2606
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Ronda Fenton serves SCCEI as the Associate Director for Administration and Finance.

Prior to joining SCCEI Ronda was the Finance and Office Manager of the Stanford Global Studies division of the School of Humanities and Sciences, where she worked with the Executive Director on all aspects of the department operations.  

Ronda has a long history with the Freeman Spogli Institute of International Studies, dating back to the early 90’s when it was the Institute for International Studies.  She has served in many capacities through the decades in both institute and program administration, facilities management, space planning, finance, student services, and sponsored research.  

In her free time Ronda enjoys testing new technology, traveling, playing games with friends, and spending time with her family.

Associate Director of Finance and Administration, Stanford Center on China's Economy and Institutions
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The demand for large-scale assessments in higher education, especially at an international scale, is growing. A major challenge of conducting these assessments, however, is that they require understanding and balancing the interests of multiple stakeholders (government officials, university administrators, and students) and also overcoming potential unwillingness of these stakeholders to participate. In this paper, we take the experience of the Study of Undergraduate Performance (SUPER) in conducting a large-scale international assessment as a case study. We discuss ways in which we mitigated perceived risks, built trust, and provided incentives to ensure the successful engagement of stakeholders during the study’s implementation.

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Journal of Higher Education Policy and Management
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Prashant Loyalka
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Product reliability is a key concern for manufacturers. We examine a significant but under-recognized determinant of product reliability: the rate of workers quitting from the product's assembly line, or its worker turnover. While modern manufacturers make extensive efforts to control defects and assure quality worksmanship, some quality variation in the manufactured units may be revealed only after they have been used repeatedly. If this is the case, then the disruptiveness of high turnover may directly lead to product reliability issues. To evaluate this possibility, our study collects four post-production years of field failure data covering nearly fifty million sold units of a premium mobile consumer electronics product. Each device is traced back to the assembly line and week in which it was produced, which allows us to link product reliability to production conditions including assembly lines' worker turnover, workloads, firm learning, and the quality of components. Significant effects manifest in two main ways: (1) In the high-turnover weeks immediately following paydays, eventual field failures are surprisingly 10.2% more common than for devices produced in the lowest-turnover weeks immediately before paydays. Using post-payday as an instrumental variable, we estimate that field failure incidence grows by 0.74-0.79% per 1 percentage increase in weekly turnover. (2) Even in other weeks, assembly lines experiencing higher turnover produce an estimated 2-3% more field failures. We demonstrate that staffing and retaining a stable factory workforce critically underlies product reliability and show the value of connected field data in informing manufacturing operations.

Keywords: Data-driven workforce planning, Empirical operations management, Employee turnover, People 

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Prashant Loyalka
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Background: Medical records play a fundamental role in healthcare delivery, quality assessment and improvement. However, there is little objective evidence on the quality of medical records in low and middle-income countries.

Objective: To provide an unbiased assessment of the quality of medical records for outpatient visits to rural facilities in China.

Methods: A sample of 207 township health facilities across three provinces of China were enrolled. Unannounced standardised patients (SPs) presented to providers following standardised scripts. Three weeks later, investigators returned to collect medical records from each facility. Audio recordings of clinical interactions were then used to evaluate completeness and accuracy of available medical records.

Results: Medical records were located for 210 out of 620 SP visits (33.8%). Of those located, more than 80% contained basic patient information and drug treatment when mentioned in visits, but only 57.6% recorded diagnoses. The most incompletely recorded category of information was patient symptoms (74.3% unrecorded), followed by non-drug treatments (65.2% unrecorded). Most of the recorded information was accurate, but accuracy fell below 80% for some items. The keeping of any medical records was positively correlated with the provider’s income (β 0.05, 95% CI 0.01 to 0.09). Providers at hospitals with prescription review were less likely to record completely (β −0.87, 95% CI −1.68 to 0.06). Significant variation by disease type was also found in keeping of any medical record and completeness.

Conclusion: Despite the importance of medical records for health system functioning, many rural facilities have yet to implement systems for maintaining patient records, and records are often incomplete when they exist. Prescription review tied to performance evaluation should be implemented with caution as it may create disincentives for record keeping. Interventions to improve record keeping and management are needed. 

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BMJ
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Alexis Medina
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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.

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Proceedings of the National Academy of Sciences of the United States of America
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Prashant Loyalka
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Rural residents in China today face at least two key decisions: a) where to live and work; and b) where to send their children to school. In this paper we study the second decision: should a rural parent send their child to a public rural school or have him or her attend a private migrant school in the city. While there is an existing literature on the impact of this decision on student academic performance, one of the main shortcomings of current studies is that the data that are used to analyse this issue are not fully comparable. To fill the gap, we collected data on the educational performance of both migrant students who were born in and come from specific source communities (prefecture) in rural China and students who are in rural public schools in the same source communities. Specifically, the dataset facilitates our effort to measure and identity the academic gap between the students in private migrant schools in Shanghai and Suzhou and those in the public rural schools in Anhui. We also seek to identify different sources of the gap, including selection effects and observable school quality effects. According to the results of the analysis, there is a large gap. Students in public rural schools outperform students in private migrant schools by more than one standard deviation (SD). We found that selection effects only account for a small part of this gap. Both school facility effects and teacher effects explain the achievement gap of the students from the two types of schools, although these effects occur in opposite directions.

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Journal of Development Studies
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Scott Rozelle
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11
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Despite massive investments in teacher professional development (PD) programs in developing countries, there is little evidence on their effectiveness. We present the results of a large-scale, randomized evaluation of a high-profile PD program in China, in which teachers were randomized to receive PD; PD plus follow-up; PD plus evaluation of their command of the PD content; or no PD. Precise estimates indicate that PD and associated interventions failed to improve teacher and student outcomes. A detailed analysis of the causal chain shows teachers find PD content to be overly theoretical, and PD delivery too rote and passive, to be useful. 

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