Publications

The massive flow of migrants from rural to urban areas in China over the past decades has sparked concerns about the development of left-behind children. Drawing on a six-round, longitudinal cohort survey in rural China from 2013 to 2023 that follows children from 6 months to 11 years of age, we analyse the effects of two maternal migration patterns – persistent migration (migration without return) and return migration (migration followed by return) – on the cognitive development and nutrition of left-behind children from infancy to early adolescence. The results show that persistent maternal migration has adverse effects on the cognitive development and increased the BMI of left-behind children. In contrast, maternal migration had no significant effect on either cognitive development or any indicator of nutrition when the mother later returned. Persistent maternal migration had a strong, long-term negative effect on the cognitive development of left-behind children especially when mothers migrate within one or one and a half years after childbirth; maternal migration also had a short-term, negative effect on cognitive development when mothers migrate when the child is between 2 and 3 years old. These effects are likely driven by the lower levels of stimulating parenting practices and dietary diversity provided by the stand-in primary caregivers of left-behind children.

The connections between bullying and student well-being in rural areas are not well understood, particularly among younger, more vulnerable students. This study aims to explore the relationship between bullying experiences and the academic performance and mental health of primary and junior high school students in rural China. The sample comprised 1609 students from 30 schools (20 primary schools and 10 junior high schools) in Gansu province. A self-report questionnaire was used to collect data on students’ demographics, bullying experiences, mental health, and social support. Additionally, a 30-minute standardized math test was administered to assess academic performance. Results indicated that bullying was prevalent in rural settings, with 42.64% of students reporting being bullied and 12.74% experiencing it weekly. A significant correlation was found between bullying experiences and both lower academic performance and higher risk of mental health problems, such as depression and anxiety. These correlations became more pronounced with increased frequency of bullying incidents. We also found that female students and younger students who were bullied were more likely to report mental health issues. Furthermore, social support could diminish, but not entirely counteract, the adverse associations between bullying and mental health. These findings highlight the prevalence of bullying among rural students in this age group and demonstrate the associated negative outcomes for their mental health and academic performance. They also emphasize the need for targeted attention and the development of intervention programs, including enhanced school-based anti-bullying initiatives and improved social support systems.

China’s urbanization has created growing peri-urban communities, where children face challenges to early childhood development (ECD) despite proximity to developed urban areas. Little is known about how the environmental factors of ECD differ between rural migrants and new urban residents. To address this, we sampled 77 peri-urban households with 18–24-month-old Han Chinese children to examine the associations between early cognitive and language development, parental self-efficacy, stimulating parenting practices, and the home language environment measured with Language Environment Analysis (LENA). We find that rural migrants and new urban residents exhibited no significant difference in any child or household characteristic except parental residency. There was no significant difference in the family environment factors or early cognitive or language development, either. However, parental self-efficacy and stimulating parenting practices both predicted better cognitive and language development in rural migrant households, whereas only conversation turn counts predicted better language development in new urban resident households.

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Background
The quality of parenting can affect the developmental outcomes of young children. This study aims to investigate the associations between parenting quality and the early childhood development of children under age 3 across four major rural subpopulations in China.

Methods
Using a stratified cluster sampling method, 760 children aged 6–36 months and their primary caregivers in four rural subpopulations from four provinces and a metropolis in China were surveyed. Child development was assessed by the Third Edition of the Bayley Scales of Infant and Toddler Development. Parenting quality was measured using the Family Care Indicators. Data were analyzed using descriptive statistics, t-tests, multivariable regression analysis, and linear regression analysis.

Results
Across the four subpopulations, prevalences of delays of the sample children in four domains — cognition, language, social-emotional, and motor development are 52%, 45%, 52%, and 19%, respectively. The proportion of children with any type of delay is 82%, while over half (53%) have delays in at least two areas, and 27% have delays in three or more areas. Child’s mother as the primary caregiver, maternal education levels, and family asset values are all positively associated with the quality of parenting. Notably, low levels of parenting quality in rural China are linked to high rates of developmental delays.

Conclusions
This study demonstrates that the level of parenting quality is significantly associated with early childhood developmental outcomes. Results highlight the need for raising investments in family care to improve early childhood development in different rural subpopulations in China.

Background
Mindfulness-based interventions (MI) have shown efficacy in improving mental health among adults; however, the results for younger populations remain inconsistent Research on this topic in low- and middle-income countries is still limited. This study seeks to address this gap by examining the impact of a mindfulness-based intervention on Chinese migrant youth.

Methods
A randomized controlled trial delivering mindfulness and life skills mentorship to 653 migrant students aged 9 to 17 in China. Quantitative results in depression and anxiety were examined between Mindfulness Training group (MT group, n = 167), the Mindfulness Training plus Life Skill Training group (MT + LS group, n = 118), and Control group (n = 368) using student t-tests and Differences-in-Differences. Qualitative study from 20 interviews was conducted using a semi-structured interview and deductive approach.

Results
Quantitatively, participants in intervention group did not show significantly different anxiety and depression symptoms compared to control groups post intervention. Nevertheless, qualitative data highlighted several key benefits of the mindfulness intervention, including improved emotional regulation and increased social support among participants.

Conclusions
A volunteer-led, two-month mindfulness and life skills intervention with Chinese migrant youth did not yield statistically significant reduction in depression or anxiety symptoms. While no notable quantitative benefits were observed, qualitative findings suggested enhanced application of mindfulness and emotional regulation skills among participants that the quantitative measures failed to capture.

Background
Under-resourced communities in rural China have long faced limitations in accessing and utilising caregiver and child healthcare (CCH). The COVID-19 pandemic exacerbated health inequities globally, while its precise impacts on CCH remain understudied. We report differences in parental migration, maternal mental health, household and nutrition expenditures, child feeding practices, and prenatal, postnatal, and childbirth care following pandemic lockdowns in rural China.

Methods
We compared two groups of families with children who grew to the age of six months either before or during lockdowns. We enrolled eligible households from 80 rural townships, randomly selected from four poverty-designated counties in Sichuan Province, China. We interviewed the control group of primary caregivers in November and December of 2019 (pre-COVID-19), and the case group in May of 2020 (approximately five months into the pandemic). Statistical analyses included t tests and linear regressions with adjustments. P-values <0.05 were considered statistically significant.

Results
Compared to the control group, the case group presented significantly lower paternal migration and more favourable maternal mental health. Caregiving behaviours (including household and nutrition expenditures) and child feeding practices did not differ, except for higher spending on infant micronutrient supplements. Prenatal health services utilisation, including home visits, was slightly higher, while postnatal services utilisation was lower.

Conclusions
Our findings suggest that many aspects of CCH in rural China were similar or improved during the early pandemic lockdowns. These data highlight the importance of promoting targeted public health interventions, such as mental health support initiatives, accessible perinatal care options, and family-centred education campaigns, in under-resourced communities and during future healthcare crises.

We examine whether the U.S. Securities Exchange Act of 1934 significantly stabilized the market by introducing mandatory disclosure of information. We argue that mandatory information disclosure can curb stock manipulation by enhancing transparency, thereby reducing excess stock volatility. After a comprehensive assessment of the voluntary disclosure practices of NYSE-listed companies before 1934, we group the companies and find that those with poor disclosure practices experienced a significantly greater reduction in volatility after the implementation of the 1934 Act compared to those with good disclosure practices. Further analysis reveals that the liquidity of these poorly disclosing companies also improved significantly more than that of the better disclosing companies, and the improvement in liquidity was linked to the decrease in their volatility. Given that one of the key intentions of the legislators was to reduce excess market volatility through the Act, our findings provide empirical support for this legislative intent.

The number of acutely food insecure people worldwide has doubled since 2017, increasing demand for early warning systems (EWS) that can predict food emergencies. Advances in computational methods, and the growing availability of near-real time remote sensing data, suggest that big data approaches might help meet this need. But such models have thus far exhibited low predictive skill with respect to subpopulation-level acute malnutrition indicators. We explore whether updating training data with high frequency monitoring of the predictand can help improve machine learning models’ predictive performance with respect to child acute malnutrition by directly learning the dynamic determinants of rapidly evolving acute malnutrition crises. We combine supervised machine learning methods and remotely sensed feature sets with time series child anthropometric data from EWS’ sentinel sites to generate accurate forecasts of acute malnutrition at operationally meaningful time horizons. These advances can enhance intertemporal and geographic targeting of humanitarian response to impending food emergencies that otherwise have unacceptably high case fatality rates.

This article studies whether pure legality, stripped of normative components that are central to the rule of law, can convey perceived legitimacy to governmental institutions and activity. Through a survey experiment conducted among urban Chinese residents, it examines whether such conveyance is possible under current sociopolitical conditions in which the party-state continues to invest in pure legality without imposing legal checks on the party leadership’s political power and without corresponding investment in substantive rights or freedoms. Among survey respondents, government investment in professional and consistent law enforcement conveys meaningful amounts of political legitimacy. In fact, it does so even when it supports government activity, such as censorship of online speech, that is freedom depriving and socially controversial and even when such investment does not necessarily enhance the external predictability of state behavior. However, the legitimacy-enhancing effects of pure legality are likely weaker than those of state investment in procedural justice.

The rise of social media in the digital era poses unprecedented challenges to authoritarian regimes that aim to influence public attitudes and behaviors. To address these challenges, we argue that authoritarian regimes have adopted a decentralized approach to produce and disseminate propaganda on social media. In this model, tens of thousands of government workers and insiders are mobilized to produce and disseminate propaganda, and content flows in a multidirectional, rather than a top-down manner. We empirically demonstrate the existence of this new model in China by creating a novel data set of over five million videos from over 18,000 regime-affiliated accounts on Douyin, a popular social media platform in China. This paper supplements prevailing understandings of propaganda by showing theoretically and empirically how digital technologies are transforming not only the content of propaganda, but also how propaganda materials are produced and disseminated.

Achieving minimum dietary diversity (MDD), a crucial indicator of infant and young child diet quality, remains a challenge in rural China, especially for infants aged 6–11 months. This study examined the rate of MDD attainment in rural China, identified its determinants using the Capability, Opportunity, Motivation, and Behavior (COM-B) model and Bayesian network analysis, and estimated the potential impact of improving each modifiable determinant. A multi-stage sampling design selected 1328 caregivers of infants aged 6–11 months across 77 rural townships in China. Data were collected through a cross-sectional survey via in-person household interviews. Bayesian network analysis identified key factors influencing MDD attainment and their interrelationships, while Bayesian inference estimated MDD attainment probabilities. Results showed that only 22.2 % of the sample infants attained MDD. Bayesian network analysis revealed that caregiver knowledge (a proxy of capability), self-efficacy and habits (proxies of motivation), and infant age directly influenced MDD attainment. Social support (a proxy of opportunity) indirectly promoted MDD attainment by boosting self-efficacy and habit. Notably, simultaneous improvements in knowledge, self-efficacy, and habit could increase MDD attainment by 17.6 %, underscoring the potential effectiveness of interventions focused on enhancing caregiver capability and motivation. The critically low MDD attainment rate among rural Chinese infants highlights the urgent need for targeted interventions. Strategies should prioritize enhancing caregiver feeding knowledge, self-efficacy, and habit formation to improve infant dietary diversity. Addressing these key factors could substantially boost MDD attainment in rural China.

Background: The content of children’s screen exposure and interactive coviewing with caregivers are important determinants of early childhood development (ECD) that have been overlooked in past research in resource-limited rural regions. Given the prevalence of digital devices and diverse digital content today, determining screen use practices that minimize the negative impacts on children’s development is crucial for promoting healthy screen use among children.

Objective: This study aims to examine screen exposure among children aged <3 years in rural China and investigate its relationship with ECD outcomes, focusing on duration, content, coviewing, and interaction.

Methods: The sample includes all children aged between 6 and 26 months and their primary caregivers residing in the study area. A survey of screen exposure and household characteristics was conducted for 1052 eligible households. Caregivers reported the duration of screen exposure, defined as the average daily screen time over the past month; the content of exposure, defined by the time spent on educational and child-friendly content; and the caregiver’s presence and interaction with the child during exposure. ECD outcomes were evaluated using the third edition of the Bayley Scales of Infant and Toddler Development assessment scale and the Brief Infant Toddler Social Emotional Assessment. Ordinary least squares regression, logistic regression, and chi-square tests were conducted.

Results: In total, 28.23% (297/1052) of the children in our sample were first exposed to screens before the age of 12 months. Children exposed to screens had an average daily screen time of 27.57 (SD 38.90) minutes. Children who were exposed to screens before the age of 12 months and those who had longer screen time between the ages of 12 and 18 months were more likely to be at risk of motor developmental delays. Children exposed to educational content for >15 minutes on a daily basis had fewer social-emotional or behavioral problems than those with no screen exposure and a lower risk of delay in motor skills development than those exposed to educational content for <15 minutes on a daily basis. Caregiver interaction during screen exposure was associated with a lower risk of cognitive and language delays and better socioemotional skills.

Conclusions: The type of content viewed and how caregivers engaged in children’s screen time were strongly associated with ECD outcomes. Guiding parents to select educational content for their children and engaging in interactive coviewing may better protect children from the negative effects of screen exposure. The findings complement conclusions regarding the impact of screen exposure on ECD in resource-limited rural areas.

Using reading performance data from a randomized controlled trial of 5224 fifth-grade students in East China, this paper provides a novel test of the hypothesis that evoking a gender stereotype creates gender gaps in education through self-fulfilling prophecies. We found that without intervention, boys performed worse than girls did in reading tests. Evoking a gender stereotype by indicating the expected outperformance of girls over boys in reading had a significantly negative effect on boys and an insignificant effect on girls. As a result, the net effect on the gender gap in reading performance was economically important but statistically insignificant. We also found evidence that increased anxiety was likely the underlying mechanism. Finally, a heterogeneous analysis showed that boys from environments with biased gender role beliefs were more susceptible to the intervention.

China’s total fertility rate declined very little following implementation of the One Child Policy (OCP) in 1979/1980, but then fell sharply, by more than one-third, during the early 1990s. In this paper, we propose that strengthening bureaucratic incentives under the “One Vote Veto” (OVV) policy, which strictly prohibited career promotion for adherence failure, was necessary for more “effective” implementation of the OCP—and for its delayed impact on fertility. We use provincial variation in OVV implementation to estimate event study regression inputs needed to build actual and counterfactual sequential multi-decrement fertility life tables, finding that the policy explains 46% of China’s total fertility rate decline during the 1990s, driving it below replacement level. Use of intrauterine devices (IUDs, the most prevalent form of modern contraception in China) that was “recommended” by party officials increased by 133% under the policy, a relative increase more than four times as large as the increase in “voluntary” use. Overall, our paper suggests that population policy made a larger contribution to low fertility in China than suggested by past research. More generally, our paper highlights the central role of aligning bureaucratic incentives with public policy objectives, even in a centrally-planned economy like China’s.

This paper examines how power lawyers shape judicial and economic outcomes by studying the “revolving door” between judges and lawyers in China’s judicial system—namely, former judges who quit the bench to practice law. In otherwise identical lawsuits, revolving-door lawyers deliver 8−23% higher win rate for their clients. Their performance in home versus away courts suggests these gains stem from both “know how” and “know who.” We extend the theoretical framework of Dewatripont and Tirole (1999) to show that revolving-door lawyers create countervailing forces in society: they enhance judicial decision-making through evidence and reasoning, but also exploit strategic arguments and connections to bias outcomes in favor of their clients. We estimate a structural model of the judicial process to quantify these trade-offs and find that increasing the supply of power lawyers can have a non-monotonic effect on equilibrium judicial quality.

Policy experiments are crucial for fostering innovation and mitigating risks and can serve as catalysts for transformative changes. This study investigates the governance of policy experiments in China, focusing on how political factors shape their outcomes. It emphasizes the need to consider concurrent trials—related policy trials implemented simultaneously in a locality that can influence outcomes—when selecting comparable cases for analysis. Such consideration is critical, especially when the policy issue spans multiple sectors and the level of difficulty differs across sectors. By comparing five cities engaged in the same three decarbonization pilots between 2010 and 2015, Hangzhou and Xiamen are identified to have had similar initial conditions and goals but achieved divergent outcomes. This research uncovers the critical role of political leadership in achieving varying levels of decarbonization progress and identifies policy coherence with broader local priorities to be the key explanation for continued leadership attention and efforts devoted to decarbonization despite turnover. The study contributes to the literature by addressing the under-studied impact of political factors and concurrent trials, offering a replicable procedure for future research and practical policy applications.

The effects of psychological factors on complementary feeding behavior have been widely described, yet the mechanisms underlying the complex relationships among personality traits, self-efficacy, and complementary feeding behavior remain unclear. This cross-sectional study was conducted using a multi-stage cluster sampling process to select caregiver-child dyads in Western rural China. Personality traits, self-efficacy, and complementary feeding behavior were evaluated respectively. Both multiple logistic regression and Bayesian network structure (BNs) were used to explore these associations. A total of 787 caregiver-child dyads were enrolled. Results from multiple logistic regression indicated that caregivers with medium (OR = 2.05, p < 0.001) or high (OR = 1.58, p = 0.04) levels of extraversion, as well as those with high self-efficacy recording complementary feeding (OR = 2.08, p < 0.001), significantly increased the likelihood of meeting the criteria for the Infant and Child Feeding Index (ICFI) qualification. Further, BNs were employed to elucidate the pathways of influence, revealing a direct association between the caregiver's level of extraversion, level of self-efficacy and the ICFI. Additionally, the analysis indicated that a caregiver's openness indirectly influenced the ICFI through its influence on self-efficacy regarding complementary feeding. This is one of few studies exploring associations between personality traits, self-efficacy, and complementary feeding behavior. The study highlights the importance of understanding individual differences in caregiving and suggests that interventions should focus on enhancing caregivers' self-efficacy, rather than solely targeting personality traits.

This paper examines whether education can play a role in mitigating gender inequality in the process of sectoral reallocation of labour. We exploit the exogenous variations in educational attainment induced by the implementation of the 1986 Compulsory Education Law (CEL) in China. Using data from the 2018 wave of the China Family Panel Studies (CFPS) and a cohort difference-in-differences (DID) approach, we find that the CEL narrowed the gender gap in education for rural residents, but it did not reduce gender inequality in labour market outcomes, such as wage labour participation and wage rate. Our analysis reveals that this persistent inequality in labour market outcomes can be attributed to gender differences in migration and occupational choices. Specifically, rural males exposed to the CEL were more likely to migrate outside local provinces and work in low-skilled manufacturing sectors, while rural females tended to stay within local counties and work in low-skilled service sectors. Furthermore, we provide evidence that their differential migration responses are driven by household labour divisions and social gender norms, rather than disparities in cognitive skills.

Background: Micronutrient powder (MNP or Yingyangbao, a dietary supplement that contains multiple vitamins and minerals) programs can reduce the risk of anemia among children. One such program in China distributed free MNP to children aged 6–24 months in poor rural areas. However, there are indications that the generation of primary caregiver (i.e., parent or grandparent) may influence MNP feeding behavior. The purpose of this study was to investigate the prevalence and influencing factors of effective MNP feeding behavior among parents and grandparents in a rural developing setting.

Methods: We conducted a cross-sectional study of 884 caregivers and children in formerly impoverished rural areas of Sichuan Province using multi-stage random sampling. Data were collected on caregivers’ MNP feeding behavior, their core perceptions and health beliefs about MNP, children’s responses to MNP, MNP delivery patterns, and demographic characteristics. Influencing factors of parents’ and grandparents’ MNP feeding behavior were analyzed using two-level logistic regression.

Results: Total effective MNP feeding behavior rate among caregivers was 40.95%. Grandparents demonstrated higher MNP adoption than parents (χ2 = 4.445, P = 0.035). After controlling for sociodemographic characteristics, grandparents were more likely than parents to achieve effective MNP adoption (OR = 1.360, P = 0.035); child’s preference for MNPs (ORparental subgroup = 1.736, ORgrandparental subgroup = 1.496; P < 0.050) and caregiver’s self-efficacy (ORparental subgroup = 1.157, ORgrandparental subgroup = 1.393; P < 0.050) were influencing factors of feeding behavior for caregivers of both generations. Parents were also influenced by perceived barriers to feeding MNPs (OR = 0.904, P = 0.040), while grandparents were more strongly influenced by child’s discomfort to MNPs (OR = 0.240, P = 0.023) and caregiver’s knowledge about MNPs (OR = 1.557, P = 0.014).

Conclusion: Future efforts to improve the feeding behavior of caregivers in MNP programs both in China and abroad should improve children’s preference for MNP by changing its composition and taste, and increase caregivers’ feeding self-efficacy through health education. Moreover, parents should be taught to cope with time and ability barriers that may limit MNP adoption, while grandparents should be emphasized the importance and potential side effects of MNP.

The diffusion of high-yielding crop varieties has been a key driver for agricultural productivity. This study examines the relationship between the adoption of high-yielding crop varieties of two staple crops—wheat and maize—and infant mortality in rural China. Using data from 1954 to 1987, we find a significant reduction in infant mortality linked to high-yielding crop varieties diffusion, an association that remains robust even after excluding the Great Famine years. We investigate potential mechanisms driving this relationship, including increased grain production, improved infant nutrition, and changes in maternal characteristics. Additionally, our analysis unveils a spectrum of heterogeneous relationships between high-yielding crop varieties adoption and infant mortality across factors such as infant gender, maternal characteristics, and policy regulation. These findings reaffirm the positive and lasting benefits of dissemination of high-yielding crop varieties for human welfare and provide valuable policy insights for developing nations grappling with food and nutritional insecurity.

Despite investments in teacher education programs, teacher shortages persist in rural areas of many low- and middle-income countries. Using data from 1860 tuition-free students, we examine factors influencing enrollment in China's Tuition-Free Normal Education (TNE) program and their implications for teacher recruitment and retention in rural schools. Descriptive analysis and OLS regression reveal that TNE students mostly come from larger, poorer families, and enroll for job security and financial benefits. Many aspire to teach but resist rural placements, risking non-compliance. These findings can guide the design and reform of programs to attract qualified teachers to rural areas in China and abroad.

In an era of disruptive global challenges, from climate crises to pandemics, understanding the drivers of drastic policy innovation is paramount. This study defines drastic policy innovation as a significant shift in governmental priorities through policies untried by most jurisdictions in a country. While policy entrepreneurs are often credited with initiating change, this study argues that political will is essential for enacting and implementing such innovative policies. Political will is defined as the degree of commitment among key decision makers to enact and implement specific policies. It is characterized by three key components: authority (the power to enact and enforce policy), capacity (the resources to implement it effectively), and legitimacy (the perceived rightfulness of actions by stakeholders). Through the case of low-carbon city experimentation in China, this study examines how political will drives the adoption and implementation of these policies. The findings reveal that a high level of political will is significantly linked to more drastically innovative policies being enacted and implemented and that when political will is institutionalized, implementation continues despite leadership turnover. These insights likely apply to other policy contexts and countries, regardless of regime type, albeit with some caveats.