Search Results (238)

Amid the rapid expansion of the digital economy, online shopping has become increasingly common among rural households in China, yet the social interaction mechanisms driving such behavior remain insufficiently explored. This study examines the impact of peer effects on farmers’ online shopping behavior using data from the China Family Panel Studies (CFPS) covering the years 2014 to 2022. A Logit model is applied to estimate peer influence, and interaction terms are introduced to assess the moderating roles of land assets and social expenditures. The results reveal that peer behavior significantly increases the likelihood of rural households participating in online shopping, with the effect being particularly strong among low-income, less-educated households and those in western regions. Additionally, both land-rich households and those with higher social expenditures demonstrate greater responsiveness to peer influence. These findings highlight the importance of local social interaction in shaping rural online shopping behavior and provide theoretical and practical implications for digital inclusion and rural e-commerce strategies. Full article

Background/Objectives: Intergenerational care plays a significant role in shaping household dietary quality and human capital development in China. Influenced by the legacy of the one-child policy, the care provided in these families often prioritizes child-focused practices. This study examines how intergenerational care influences schoolchildren’s sugar-sweetened beverage (SSB) consumption. Methods: This study utilizes data from the 2014–2015 China Education Panel Survey (CEPS) to investigate the impact of intergenerational care on schoolchildren’s dietary behaviors, with a focus on sugar-sweetened beverage (SSB) consumption. We apply both ordinary least squares (OLS) regression and the ordered logit model to estimate the impacts, and we use the instrumental variables approach to address potential endogeneity. Results: Schoolchildren from only-child families report greater SSB consumption, while those from multi-child families consume less. Intergenerational care is linked to more digital media exposure, more pocket money, and less parental supervision. These findings withstand rigorous validation through multiple robustness checks, including sample restriction strategies and propensity score matching (PSM) analysis. The effect is especially pronounced among boys, schoolchildren from families with higher parental education levels, and schoolchildren attending schools without formal nutrition education programs. Conclusions: The result indicates that intergenerational care significantly increases SSB consumption among schoolchildren from only-child families. Community nutrition and school health education programs can reduce schoolchildren’s SSB consumption, thereby lowering risks of obesity and other public health concerns. Full article

Promoting clean energy transition in rural areas is a key path to achieving global sustainable development, protecting public health, and promoting ecological livability. Based on data from the China Family Panel Studies (CFPS), this paper employs a multi-dimensional fixed effects model to evaluate the impact of income inequality on rural households’ clean energy transition (CET) and examines its underlying mechanisms. Research findings indicate that income inequality significantly suppresses rural households’ CET, primarily by reducing basic energy consumption and hindering the upgrading of basic energy consumption structures. Government governance quality exerts a significant negative moderating effect on the relationship between income inequality and rural households’ CET. Further analysis shows that the inhibitory effect of income inequality on CET is more significant in the regions with a low economic development level and low coal resource endowment, and in the western and northeastern regions of China. Therefore, while continuously promoting rural income growth, the government should prioritize equitable distribution, strengthen institutional capacity-building, improve the social service and security system, and facilitate rural households’ CET. Full article

Family structure has long been regarded as an important determinant of household saving, yet the empirical evidence for developing economies remains limited. Using the 2018–2022 panels of the China Family Panel Studies (CFPS), a nationwide survey that follows 16,519 households across three waves, the present study investigates how family size, the elderly share, and the child share jointly shape saving behavior. A household fixed effects framework is employed to control for time-invariant heterogeneity, followed by a sequential endogeneity strategy: external-shock instruments are tested and rejected, lagged two-stage least squares implement internal instruments, and a dynamic System-GMM model is estimated to capture saving persistence. Robustness checks include province-by-year fixed effects, inverse probability weighting for attrition, balanced-panel replication, alternative variable definitions, lag structures, and sample filters. Family size raises the saving rate by 4.6 percentage points in the preferred dynamic specification (p < 0.01). The elderly ratio remains insignificant throughout, whereas the child ratio exerts a negative but model-sensitive association. A three-path mediation analysis indicates that approximately 26 percent of the total family size effect operates through scale economy savings on quasi-fixed expenses, 19 percent is offset by resource dilution pressure, and less than 1 percent flows through a precautionary saving channel linked to income volatility. These findings extend the resource dilution literature by quantifying the relative strength of competing mechanisms in a middle-income context and showing that cost-sharing economies dominate child-related dilution for most households. Policy discussion highlights the importance of public childcare subsidies and targeted credit access for rural parents, whose saving capacity is the most constrained by additional children. The study also demonstrates that fixed effects estimates of family structure can be upward-biased unless dynamic saving behavior and internal instruments are considered. Full article

Objective: This study investigates the longitudinal reciprocal relationships among physical exercise (PE), executive function (EF), and subjective well-being (SWB) in ethnic minority college students in China, with the aim of providing theoretical and practical guidance for their psychological and cognitive development. Method: A three-wave longitudinal design was employed over a nine-month period to collect data on PE, EF, and SWB from 482 ethnic minority college students in Shaanxi Province, China (M age = 20.3 years, 63% female). Data were analyzed using a random-intercept cross-lagged panel model (RI-CLPM), and multigroup analysis (MGA) was used to examine the moderating effects of gender, family ethnic composition, and residential area. Results: The study revealed significant positive correlations among PE, EF, and SWB at the between-person level. At the within-person level, the variables exhibited temporal stability, with earlier levels significantly predicting later levels, indicating cumulative effects. Key cross-lagged analyses unveiled significant dynamic reciprocal relationships among the three variables: earlier PE positively predicted subsequent EF and SWB, earlier EF positively predicted subsequent PE and SWB, and earlier SWB positively predicted subsequent EF. Importantly, these dynamic pathways and overall relationships were consistent across gender, family structure, and residential area, indicating robustness within the studied population. Conclusion: This study highlights the dynamic, reciprocal relationships among PE, EF, and SWB. Consequently, promoting physical activity and culturally sensitive interventions for ethnic minority college students is crucial for enhancing their psychological resilience and well-being. This research offers valuable insights for policymakers and educators. Full article

Background/Objective: While positive emotions enhance productivity, little is known about whether income inequality will decrease if low-income individuals become happier. Methods: Relying on data from China Family Panel Studies (CFPS) from 2010 to 2018 and a regression-based decomposition method, this study investigates the contribution of happiness gap to income inequality. Results: The results show that a 1% increase in happiness leads to a 0.064–0.124% increase in income. This study employs average daily sunshine hours as an instrumental variable for happiness. The results from the two-stage least squares estimation also support the conclusion that an increase in happiness can lead to higher income. The decomposition results show that the happiness gap increases income inequality, although its contribution has decreased between 2010 and 2018. This positive effect is attributed to gaps in physical health and spare time devoted to learning. More precisely, happiness improves physical health among the upper-middle-income group and promotes spare time devoted to learning in the high-income group. Conversely, happiness narrows income inequality by reducing psychological stress in the low-income group. Conclusions: The results suggest that the enhancement of residents’ sense of acquisition, satisfaction and happiness, especially among the low-income group, thereby reducing income inequality. Full article

Sleep behaviors, particularly midday rest periods, represent an often overlooked yet potentially significant factor in workplace attitudes and experiences. Despite their common practice in many cultures, the relationship between these restorative breaks and employees’ evaluations of their work environment remains underexplored in organizational research. This study investigates this relationship using longitudinal data from the China Family Panel Studies (CFPS), applying the work, non-work, and sleep framework (WNSF) as our theoretical foundation. Through a quasi-natural experimental approach, we discovered that midday rest periods positively influence workplace evaluations, but in a nuanced manner. Our findings reveal a pronounced inverted U-shaped relationship, suggesting that both insufficient and excessive duration of these breaks might diminish their benefits, while optimal duration maximizes positive outcomes. We strengthened these conclusions through rigorous methodological approaches including instrumental variable techniques, sensitivity analysis, treatment effect models, and matching models. The consistency of results across multiple analytical approaches corroborates our findings. This research both validates and extends the WNSF, highlighting the importance of strategic rest periods in organizational settings and offering practical insights for workplace policy development that can benefit both individuals and organizations in contemporary work environments. Full article

Against the backdrop of the current rural economic transformation and the intensification of the ageing process, land transfer, as an important land policy tool, has gradually become a key factor influencing the consumption behaviour of farmers, especially older farmers. Based on the four-period panel data of the China Family Panel Studies (CFPS), this study uses a two-way fixed-effects model to examine the impact of land transfer (land transfer-out, land transfer-in, and two-way land transfer) on the consumption behaviour of older farmers. This study finds that land transfer-out significantly increases the total consumption of older farmers and promotes subsistence, healthy, and hedonic consumption. In contrast, land transfer-in does not show a significant effect on hedonic consumption. The mechanism test reveals that household income plays a key mediating role in the process of land transfer, affecting the consumption behaviour of older farmers. Two-way land transfer promotes the consumption level and the upgrading of the consumption structure of older farmers through income portfolio optimisation and risk diversification. Full article

The choice of carbon inequality metrics can significantly influence demand-side mitigation policies and their equity outcomes. We propose integrated carbon inequality metrics, including juxtaposing carbon inequality with economic inequality, disparity ratios across income and age groups, and structural income–urbanization inequality patterns. We then apply these new metrics and use the household expenditure survey data from China Family Panel Studies as a case study to examine household consumption-based carbon emissions in China. We assess the extent to which household consumption patterns, household expenditure, age, and urbanization contribute to the gap in per-capita household carbon footprints (CF) across income groups. We find that in relative terms, the top 20% income group accounts for 38% of total emissions, whereas the bottom 20% emit about 8% in China. Per-capita CFs vary slightly widely in their inequality than expenditure. The CF disparity ratios of all eight consumption categories across provinces concentrate around 4.5. CF disparity ratios of households with elderly members range from 1 to 3 and decrease with increasing household size. Rural CF-Gini exhibit a slightly wider range (0.15 to 0.52) than urban CF-Gini (0.16 to 0.42). Per capita CF of urban inhabitants was substantially larger than that of the rural ones, with 8.83 tCO₂ per capita in urban regions vs. 2.68 tCO₂ in rural regions. This study provides a nuanced understanding of within-country disparities to inform equitable demand-side mitigation solutions. Full article

Effectively measuring the income-generating effects of government subsidies is an important issue in assessing agricultural policies and implementing precision poverty alleviation. This study utilizes panel data from the China Family Panel Studies (CFPS) to screen a sample of 13,583 individual residents. We empirically analyze the impact of government subsidies on income inequality among farm households using fixed effects models, quantile regressions, and mediated effects models. Our study found that the following results: (1) The mechanism of subsidy action combines the functions of increasing income and regulating income distribution. Marginal benefits to low-income groups are more obvious. (2) Increasing productive agricultural inputs can reduce the income gap of farmers, which is more significant than the direct subsidy of funds. (3) The incentive effect of subsidies is strongest in the Northeast and weakest in the East. Compared to middle-aged and older farmers, the utility level of the subsidy is stronger in the youth group. Full article

China’s ongoing urbanization, expanding land transfer, has reshaped rural land use and generational consumption patterns. Using three waves of China Family Panel Studies data, this study applies a two-way fixed effect model to examine the impact of farmland transfer-out on generational consumption structure and explores the mediating role of household income, the moderating role of non-agricultural income share, and regional and income heterogeneity. Findings show the following: (1) Farmland transfer-out significantly increases subsistence, developmental, and hedonic consumption among middle-aged and young farmers, with the greatest rise in hedonic consumption. For elderly farmers, only subsistence consumption increases, and to a lesser extent. (2) Among middle-aged and young farmers, transfer-out raises household income, boosting all consumption types; a higher share of non-farm income further strengthens subsistence and hedonic consumption. For elderly farmers, while income increases, a higher non-farm income share weakens the income effect on subsistence consumption. (3) Regionally, land transfer-out significantly boosts subsistence and hedonic consumption in the eastern region for younger farmers, and all three types—especially subsistence—in the central and western regions. Elderly farmers in the east also see a rise in subsistence consumption. (4) An income heterogeneity analysis shows stronger effects for low-income younger farmers and high-income elderly farmers. Based on these findings, this study proposes targeted policies to promote farmland transfer-out, offering insights for optimizing land use and enhancing rural consumption, with implications for other countries’ land management. Full article

Although empirical studies have consistently suggested that educational expectations from caregivers would shape students’ internal factors of learning (e.g., educational aspirations, mental status, and motivation), how such processes further link with students’ academic ability received relatively little scholarly attention. Using the longitudinal China Family Panel Studies survey data, this paper applies structural equation modelling to examine the interrelationship between caregiver educational expectation, educational aspiration, depression, and academic performance of Chinese rural students (N = 584). The results show a negative correlation between caregiver educational expectation and rural students’ depression. Further, we find that when family wealth, fathers’ education level, students’ age, gender, and school type (public/private) are controlled for, caregiver educational expectation positively correlates with rural students’ educational aspiration and negatively associates with their depression, which is further positively and negatively associated with their academic performance, respectively. Our findings indicate that caregiver educational expectations might play a salient role in intervention programs enhancing rural students’ academic performance through promoting their educational aspirations and alleviating their depression. The results of this study offer fresh insight into how rural educators, families, and practitioners might address the issue of Chinese rural students’ low academic outcomes. Full article

Depression is prevalent and may be transmitted within the family. However, whether and how gender influences the interaction of depressive symptoms between parents and adolescents remains largely unclear. The current study used a cross-lagged panel network (CLPN) analysis to examine the gender-specific transmission of depressive symptoms in representative Chinese families from the China Family Panel Studies. The participants included 1469 adolescents (48.3% girls) and their parents, with depressive symptoms assessed by the epidemiological studies depression scale in 2020 (T1; M_age = 13.80) and 2022 (T2; M_age = 15.62), respectively. The gender-specific CLPNs (i.e., boy–father, boy–mother, girl–father, and girl–mother CLPNs) showed that the “loneliness” at T1 repeatedly exhibited higher impacts on the other symptoms at T2 across networks. Furthermore, the symptoms of girls at T1 were more likely to influence their parents at T2, while the symptoms of boys at T2, especially the “sleep restlessness”, were susceptible to parental influence at T1. These findings provide deeper insights into the development of mental health policies, and future studies are needed to explore the mediating mechanisms of such transmission. Full article

Digital inclusive finance (DIF) is regarded as a key instrument in poverty alleviation efforts. However, existing research reveals significant gaps in understanding its poverty-reduction impact: the debate on its inclusivity remains unresolved, its mechanisms of action are unclear, and the psychological empowerment dimension has been largely overlooked. Using micro-level data from seven waves of the China Family Panel Studies (CFPS) from 2010 to 2022, this study employs fixed-effect models, quantile regression models, and mechanism analysis to explore the differentiated impact of digital inclusive finance on rural multidimensional relative poverty and the mechanisms at play. The empirical findings reveal that DIF significantly mitigates multidimensional relative poverty, with more pronounced marginal effects among the poorest households, confirming its pro-poor characteristics. Heterogeneity analysis reveals that, at the regional level, DIF has greater impacts in western regions and remote rural areas farther from county centers; at the individual level, it is particularly effective for women, those with lower education, and individuals with limited digital literacy. Mechanism analysis shows that DIF operates through three channels: promoting employment, encouraging entrepreneurship, and enhancing financial accessibility. Moreover, extended analysis demonstrates that DIF also fosters the endogenous motivation of rural households to escape poverty, as reflected in heightened confidence about the future, increased belief in social mobility and returns of work, and reduced perceived barriers to employment. These findings provide new micro-level evidence to unpack the poverty-alleviation potential of DIF. Full article

The digital economy is emerging as a transformative force for advancing inclusive sustainable development in rural China, particularly in addressing gender disparities in non-agricultural employment. Using the Digital Inclusive Finance Index and China Family Panel Studies data, this paper analyzes the digital economy’s impact on the gender gap in rural non-agricultural employment. It finds that the digital economy boosts women’s employment and wage, narrowing the gap. This effect is more obvious among groups with medium-high human capital, younger people, married people, and those with kids. The digital economy narrows the gap through the following three mechanisms: reshaping skill demands, reducing info-search cost, and promoting domestic labor socialization. It is an engine for growth and a force for gender equality in rural employment. Full article