Microplastics are ubiquitous in soil ecosystems, and they have attracted widespread attention owing to their accumulation, migration and diffusion in soil environments and their negative effects on the environment and human health. However, previous studies on microplastics have predominantly concentrated on aquatic environments, and their presence in soil ecosystems has seldom been studied systematically. This review presents a systematic analysis of the current research on soil microplastics based on the available literature from 2016 to 2023 using CiteSpace. The most influential journals, authors and countries in this field were identified. Keyword co-occurrence analysis was performed to determine research hotspots, and cluster analysis was employed to provide an accurate summary of this field. Furthermore, burst detection was used to explore research fronts. This review reveals the increasing depth and diversity of research on soil microplastics and discusses potential research fronts for future studies in this field.

Government green investment (GGI) is one of the effective tools for reducing carbon emissions (CEs). This is of great significance for the realization of “carbon peaking and carbon neutrality.” This study innovatively considers the multidimensional CE reduction (CER) process indexes to explore the impact mechanism of GGI on China’s CER process. At the same time, CER is particularly critical in resource-dependent regions. This study incorporates this perspective to explore the CER effect of GGI in these regions. This paper developed a multidimensional evaluation system for China’s CER process, using panel data of 269 prefecture-level cities from 2008 to 2019 to explore the impact of GGI on China’s CER process. The results indicated that 1) GGI promotes CER in China as a whole and effectively inhibits CEs,per capitaCEs, and CE intensity; 2) GGI promotes CER to some extent by enhancing the energy efficiency and total factor productivity; 3) it plays a larger role in CER in regions with a high energy endowment; and 4) the impact of GGI on CER is heterogeneous in geographical regions, city sizes, and economic development levels. This study makes policy recommendations for reducing CEs, including intensifying GGI and playing its investment-pulling role, thereby increasing the investment related to improving energy efficiency and total factor productivity and promoting government intervention in areas with high energy endowments.

Based on the Spatial Durbin Model (SDM), this study evaluates the spatial spillover effect of PM_2.5 concentration in Beijing–Tianjin–Hebei (BTH) and its surrounding areas from 2000 to 2016, analyzes its main influencing factors and verifies the Environmental Kuznets Curve (EKC). In addition, Social Network Analysis (SNA) is used to measure the regional air pollution transmission network. The results are as follows: (1) A significant inverted U-shaped EKC with spatial spillover effect between the sampled 48 cities was verified. (2) Industrial structure had both local and spillover effects on air pollution with a U-shaped curve; technological progress exerted a negative spillover effect on air pollution, while traffic evidenced positive local and spillover effects; meteorological conditions showed different impacts on air pollution. (3) Heze, Tianjin, Xingtai, Shijiazhuang and Liaocheng are the top five cities in the centrality of the air pollution correlation network, indicating air pollution in these cities have significant impacts on other cities within the network; while Sanmenxia, Weihai, Yuncheng, Langfang and Zhumadian are the bottom five cities, which indicates that the air pollution of these cities has the least correlation with other cities. The policy suggestions for 48 cities involve: building up a regional joint prevention and control mechanism, enhancing the supervision of cities located in the centrality of the air pollution correlation network, accelerating high-tech and service-oriented industrialization, encouraging technological innovation in energy conservation and environmental protection and implementing vehicle regulation.

The transportation industry plays a key role in reducing urban emissions of air pollutants and energy consumption. The transition from traditional fossil fuel-based vehicles (TFFBVs) to new energy vehicles (NEVs) is critical to China’s strategic goal of reaching peak carbon dioxide (CO₂) emissions before 2030 and achieving carbon neutrality before 2060. On the basis of the environmental status and development of NEVs in Chongqing in 2020, we designed scenarios for replacing TFFBVs in Chongqing with NEVs according to targets such as the number of proposed NEVs in China’s 14th Five-Year Plan. Following this, we evaluated the environmental and health benefits of NEVs and their monetary value using exposure–response and disease–cost methods. Replacing 18%, 35%, and 50% of TFFBVs with NEVs can create health benefits of approximately CNY 11.391 billion, CNY 21.696 billion, and CNY 30.443 billion, accounting for 4.56%, 8.68%, and 12.18%, respectively, of Chongqing’s GDP in 2020. These amounts exceed the cost of government subsidies. Greater health benefits were derived from reducing the toxic emissions of nitrogen dioxide (NO₂); the reduction in deaths caused by cardiovascular diseases created the best benefits for health endpoints, exceeding a 59% reduction in all three scenarios. Our study provides empirical support for promoting NEVs.

Introduction: School bullying poses significant risks to the physiological and psychological health of female adolescent migrants, a vulnerable group often overlooked during their critical developmental period. This study investigates the specific correlations between different types of bullying exposure and multi-dimensional health outcomes among female high school students aged 15 to 18 in China. Methods: Data were derived from a longitudinal observational cohort, including clinical records and structured survey assessments. We introduced a novel digital visual analog scale (VAS) to quantify psychological tendencies (e.g., depressive symptoms, sleep disturbances) and physiological indicators (e.g., menstrual irregularities, EEG/ECG variations). Participants were categorized into five groups: violent bullying, multiple bullying, verbal bullying, social bullying, and a non-bullied control group. Statistical analyses were performed to compare health outcomes across these groups. Results: Students subjected to violent and multiple bullying exhibited markedly higher levels of physiological dysfunction and psychological distress compared to the control group. Verbal and social bullying also resulted in significant psychological symptoms. The severity of bullying showed a positive correlation with elevated VAS scores, indicating a dose-response relationship. These findings underscore the profound impact of school bullying on the health of female adolescent migrants. Discussion: The results highlight an urgent need for targeted early detection and intervention strategies for this population. The digital VAS developed in this study proves to be an effective and sensitive tool for educators and clinicians to monitor and address the adverse health outcomes of bullying. These findings call for integrated support systems that address both the physical and mental health of vulnerable adolescents.