Search Results (2,814)

In the context of global climate change and growing food security challenges, this study provides a comprehensive analysis of the yields of three staple crops (wheat, corn and rice) in the Yellow River Basin of China, employing multiple quantitative analysis methods including the Mann–Kendall trend test, center of gravity transfer model and hotspot analysis. Our research integrates yield data covering these three crops from 72 prefecture-level cities across the Yellow River Basin, during 2000 to 2023, to systematically examine the temporal variation, spatial variation and spatial agglomeration characteristics of the yields. The study uses GeoDetector to explore the impacts of natural and socioeconomic factors on changes in crop yields from both single-factor and interactive-factor perspectives. While traditional statistical methods often struggle to simultaneously handle complex causal relationships among multiple factors, particularly in effectively distinguishing between direct and indirect influence paths or accounting for the transmission effects of factors through mediating variables, this study adopts Structural Equation Modeling (SEM) to identify which factors directly affect crop yields and which exert indirect effects through other factors. This approach enables us to elucidate the path relationships and underlying mechanisms governing crop yields, thereby revealing the direct and indirect influences among multiple factors. This study conducted an analysis using Structural Equation Modeling (SEM), classifying the intensity of influence based on the absolute value of the impact factor (with >0.3 defined as “strong”, 0.1–0.3 as “moderate” and <0.1 as “weak”), and distinguishing the nature of influence by the positive or negative value (positive values indicate promotion, negative values indicate inhibition). The results show that among natural factors, temperature has a moderate promoting effect on wheat (0.21) and a moderate inhibiting effect on corn (−0.25); precipitation has a moderate inhibiting effect on wheat (−0.28) and a moderate promoting effect on rice (0.17); DEM has a strong inhibiting effect on wheat (−0.33) and corn (−0.58), and a strong promoting effect on rice (0.38); slope has a moderate inhibiting effect on wheat (−0.15) and a moderate promoting effect on corn (0.15). Among socioeconomic factors, GDP has a weak promoting effect on wheat (0.01) and a moderate inhibiting effect on rice (−0.20), while the impact of population is relatively small. In terms of indirect effects, slope indirectly inhibits wheat (−0.051, weak) and promotes corn (0.149, moderate) through its influence on temperature; DEM indirectly promotes rice (0.236, moderate) through its influence on GDP and precipitation. In terms of interaction effects, the synergy between precipitation and temperature has the highest explanatory power for wheat and rice, while the synergy between DEM and precipitation has the strongest explanatory power for corn. The study further analyzes the mechanisms of direct and indirect interactions among various factors and finds that there are significant temporal and spatial differences in crop yields in the Yellow River Basin, with natural factors playing a leading role and socioeconomic factors showing dynamic regulatory effects. These findings provide valuable insights for sustainable agricultural development and food security policy-making in the region. Full article

Identification of temporal relations among suicide mortality and economic/political implementations provides important information for not only planning suicide prevention but also socioeconomic/psychosocial measures. This cross-sectional observation study analyzed temporal fluctuations and causalities of suicide mortalities of working-age individuals, disaggregated by age/gender/social standing (employed/unemployed), in Japan from 2009 to 2024, using government databases, by joinpoint and vector-autoregressive analyses. Suicide mortality among total and employed females decreased until the COVID-19 pandemic outbreak but sharply increased, synchronized with the pandemic outbreak, before resuming a downward trend. Among males, the decreasing trends attenuated from 2016, followed by a transient increase in 2022. Unemployed males aged 40–69 exhibited four joinpoints: 2016 (decreasing–increasing), 2018 (increasing–decreasing), 2022 (decreasing–increasing), and 2023 (increasing–stable). In contrast, suicide mortality among unemployed females aged 40–69 sharply increased in 2022 and maintained the high level. Among individuals aged 30–39, suicide mortality reversed from decreasing to increasing in 2016 (males) and 2018 (unemployed females). Economic expansion was protective for employed individuals but had no significant effect on unemployed populations. The government management instability (AENROP) index was positively associated with suicide mortality among employed and unemployed males and employed females. Unemployed females aged 30–39 were sensitive to AENROP but not economic conditions, while those aged 40–69 were largely unaffected by either. Increasing employment of individuals with psychiatric disabilities was positively associated with suicide mortality among unemployed males (30–69) and females under 40. Positive impacts of the employment rates of individuals with psychiatric disabilities and unemployment enhanced from 2016 and 2022, respectively, whereas the impacts were inconstantly affected by political rather than economic factors. Suicide mortality among unemployed individuals has emerged as a critical public health concern in Japan, with rates more than doubling among males and tripling among females in the 2020s. These findings underscore the need for integrated suicide prevention policies that address both labor market vulnerabilities and psychosocial determinants. Full article

Urban blight and litter are twin issues that significantly affect the quality of life in city neighborhoods. This paper investigates the relationship between blight and litter, commonly overlooked in urban studies literature. We measure the prevalence of blight and litter across block groups in our mapping with a focus on socioeconomic factors, including income levels, crime rates, and land use types (industrial, commercial, and residential) for our case study, Memphis, Tennessee. Using statistical and spatial analytics, as well as data from the Memphis Data Hub and the City of Memphis, we show the prevalence of blight and litter across block groups. GIS was used to map neighborhood-specific blighted structures and their spatial connection to litter accumulation. We also explore the distribution of blight and litter across different land uses. A Pearson correlation value of 0.639 suggests a strong positive relationship between blight and litter at the block group level. Spatial clustering is assessed by Global Moran’s I and Local Moran’s I, identifying neighborhood-level hotspots. The block group is used as the unit of analysis to capture micro-spatial variation and to enable meaningful equity-based insights at the neighborhood level. Our mapping offers practical insights into urban revitalization strategies in deference to per capita income, crime rate, and land use. The findings contribute to urban policy discussions by promoting the joint consideration of blight and litter, helping guide future community-based interventions aimed at alleviating the negative impacts of blight and litter, particularly in disadvantaged neighborhoods. Full article

This study investigated how specific sustainability topics disclosed in standalone sustainability reports influence firm value and whether third-party assurance moderates this relationship. Drawing on signaling, agency, stakeholder, and legitimacy theories, we applied latent Dirichlet allocation (LDA) to extract latent topics from U.S. corporate sustainability reports. We analyzed their impact on Tobin’s Q using panel regressions and supplement our findings with discrete Bayesian networks (DBNs) and Shapley additive explanations (SHAP) to capture non-linear patterns. We identified six core topics: environmental impact, sustainable consumption, daily necessities, socio-economic impact, healthcare, and operations. The results revealed that topics of healthcare and daily necessities have immediate and sustained positive effects on firm value, while environmental and socio-economic impact topics demonstrate lagged effects, primarily two years after disclosure. The presence of assurance, however, produces mixed outcomes: it enhances credibility in some cases, but reduces firm value in others, especially when applied to environmental and socio-economic disclosures. This suggests a dual signaling effect of assurance, potentially increasing investor scrutiny when gaps in performance are highlighted. Our findings underscore the importance of topic selection, consistency in reporting, and strategic application of assurance in ESG communications to maintain stakeholder trust and market value. Full article

As China’s urbanization deepens, the spatial structure of residential areas and land use patterns has undergone profound transformations, with the differentiation of housing prices emerging as a key indicator of urban spatial dynamics and socioeconomic stratification. This study examines the spatial and temporal evolution of residential housing prices in Qingdao’s main urban area over a 20-year period, using data from three representative years (2003, 2013, and 2023) to capture key stages of change. It employs Local Indicators of Spatial Association (LISA) spatial and temporal path and leap analyses, as well as Geographically and Temporally Weighted Regression (GTWR) modeling. The results show that Qingdao’s housing price patterns exhibit distinct spatiotemporal heterogeneity, characterized by multi-level transitions, leapfrog dynamics and strong spatial dependence. The urban center and coastal zones demonstrate positive synergistic growth, while some inland and peripheral areas show negative spatial coupling. Evident is the spatial restructuring from a monocentric to a polycentric pattern, driven by shifts in industrial layout, policy incentives, and transportation infrastructure. Key driving factors, such as community attributes, locational conditions, and amenity support, show differentiated impacts across regions and over time. Business agglomeration and educational resources are primary positive drivers in central districts, whereas natural environments and commercial density play a more complex role in peripheral areas. These findings provide empirical evidence to inform our understanding of housing market dynamics and offer insights into urban planning and the design of equitable policies in transitional urban systems. Full article

Renewable Energy Communities (RECs) are central to Europe’s strategy for reducing greenhouse gas emissions and advancing a sustainable, decentralized energy system. RECs aim to transform consumers into prosumers—individuals who both produce and consume energy—thereby enhancing energy efficiency, local autonomy, and citizen engagement. This study introduces a novel Geographic Information System (GIS)-based methodology that integrates socio-economic and spatial data to support the design of optimal REC configurations. QGIS 3.40.9 “Batislava” tool is used to simulate site-specific energy distribution scenarios, enabling data-driven planning. By combining a Composite Energy Vulnerability Index (CEVI), Rooftop Solar Potential (RSP), and the distribution of urban gardens (UGs), the approach identifies priority urban zones for intervention. Urban gardens offer multifunctional public spaces that can support renewable infrastructures while fostering local resilience and energy equity. Applied to the city of Rome, the methodology provides a replicable framework to guide REC deployment in vulnerable urban contexts. The results demonstrate that 11 of the 18 highest-priority areas already host urban gardens, highlighting their potential as catalysts for collective PV systems and social engagement. The proposed model advances sustainability objectives by integrating environmental, social, and spatial dimensions—positioning RECs and urban agriculture as synergistic tools for inclusive energy transition and climate change mitigation. Full article

The COVID-19 pandemic impacted mental health. This cross-sectional study analyzed the perception of concern related to the pandemic in Jundiaí-SP, June 2020. Participants consisted of residents of households selected by probability sampling and individuals with respiratory symptoms who sought Basic Health Units (UBS). The participants underwent rapid testing for SARS-CoV-2 and answered a questionnaire. The outcome was the perception of concern about pandemic and the independent variables were socioeconomic characteristics, behavioral variables, signs and symptoms, and rapid test results. Bivariate analysis was performed and variables with p < 0.20 were included in a binary logistic regression model (p < 0.05) using SPSS 20.0. A total of 2432 individuals participated in the study, including 1181 from UBS and 1251 from households. Females (OR: 1.42; CI: 1.18–1.71), black and mixed race participants (OR: 1.40; CI: 1.15–1.71), participants with an income up to 3 minimum wages (MW) (up to 1 MW: OR: 2.58; CI: 1.80–3.70; 1 to 3 MW: OR: 1.64; CI: 1.35–1.98), and younger participants (18–39 years: OR: 3.07; CI: 2.39–3.94; 40–59 years: OR: 2.42; CI: 1.89–3.10) were more concerned. Greater concern was perceived by more vulnerable individuals, regardless of testing positive for COVID-19 which is important to subsidize public mental health policies and crisis interventions, focusing on reducing race, gender and socioeconomic inequalities. Full article

Against the backdrop of intensifying global climate change and advancing the goal of the “dual-carbon” strategy, the built environment is being viewed as a complex socio-technical system in which technological, economic, demographic and institutional subsystems are coupled and evolving at different scales. As a core node in this system, residential buildings not only carry infrastructural functions, but are also deeply embedded in energy flows, material cycles and behavioural structures, which have a significant impact on carbon emissions. Given the high volume of residential buildings in China and the significant differences between urban and rural construction, there is an urgent need to systematically identify and analyse the implicit carbon emissions during the materialisation phase. In this paper, from the perspective of systems engineering, we selected 30 urban and rural residential buildings in provinces and cities from 2005 to 2020 as the research objects, adopted the life cycle assessment (LCA) method to account for the implied carbon emissions in the materialisation stage, and systematically identified the driving factors of carbon emissions based on the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. From this study, we made the following conclusions: (1) the total carbon emissions of residential buildings in urban and rural areas in China continue to rise during the materialisation stage, showing a spatial pattern of “high in the south-east and low in the north-west”, with a significant trend of structural transformation in urban and rural areas and with steel–concrete structures dominating in towns and cities, and bricks and steel being used in rural areas. (2) Resident population and disposable income are generally positive driving factors, while the influence of industrial structure and energy intensity is heterogeneous between urban and rural areas. For overall residential buildings, every 1% increase in resident population and income will lead to a 1.055% and 0.73% increase in carbon emissions, respectively. The study shows that life-cycle-oriented carbon accounting and the identification of multidimensional driving mechanisms are of great policy value in developing urban–rural differentiated emission reduction paths and enhancing the effectiveness of carbon management in the building sector. Full article

The existing literature suggests that exposure to Per- and Polyfluoroalkyl Substances (PFAS) can increase Papillary Thyroid Cancer (PTC) risk by interfering with thyroid hormone signaling, leading to hormonal imbalances that promote carcinogenesis. In addition, significant disparities exist in environmental exposure. However, ecological evidence of these associations has not been established within a statewide database of cancer outcomes. Therefore, this study investigated the relationship between socioeconomic conditions, environmental PFAS exposure, and PTC incidence in Florida using the state’s cancer registry. Data on facilities potentially releasing PFAS and ZIP codes with known PFAS drinking water contamination were retrieved from the EPA’s PFAS Analytic Tool. Proximity to PFAS sites and age-adjusted incidence by patient race/ethnicity were calculated by census tract. Lower socioeconomic status was associated with greater exposure to environmental PFAS. Census tracts with closer proximity to PFAS sites were more likely to have public water systems with PFAS contamination. Lastly, residential proximity to PFAS sites was positively associated with age-adjusted PTC incidence in Non-Hispanic Whites and Hispanics. These results demonstrate disparities in environmental exposure and suggest that exposure to PFAS may be an important factor for PTC risk at the population level and should be considered in the development of public health policies. Full article

Circulating microRNAs (miRNAs) have emerged as non-invasive biomarkers that may be associated with cancer risk, but their role in the development of colon cancer is still not well understood. We conducted a nested case-control study within the EPIC-Italy cohort to investigate the association between pre-diagnostic serum levels of eight candidate miRNAs (Let7, Mir21, Mir155, Mir181, Mir222, Mir145, Mir92, and Mir20) and subsequent colon cancer occurrence. A total of 104 incident colon cancer cases were matched to 104 controls by center, sex, age, recruitment date, and vital status. miRNA expression was quantified using RT-qPCR and normalized to Mir484. Logistic regression models were applied to estimate odds ratios, 95% confidence intervals, and p-values, adjusting for age at recruitment, smoking status, body mass index, physical activity, adherence to a Mediterranean diet, and socioeconomic position. Elevated expression of Let7 (OR = 0.91; 95% CI: 0.84–1.00; p = 0.04) was associated with slightly lower odds of colon cancer in unadjusted models. Mir21 and Mir222 showed borderline associations (p = 0.07 and p = 0.09, respectively), but these did not remain significant after Bonferroni correction. This result was consistent in the multivariate logistic model: higher levels of Let7 (OR = 0.91; 95% CI: 0.82–1.00; p = 0.06) and Mir222 (OR = 0.75; 95% CI: 0.57–1.00; p = 0.05) are suggestive of an association with lower odds of colon cancer. Our findings highlight the challenges of using circulating miRNAs as very early biomarkers, particularly when samples are collected nearly a decade before diagnosis. Future studies with larger sample sizes, serial blood collections, and integration with inflammatory and immune markers will be crucial to clarify the temporal dynamics of circulating miRNA alterations and their potential role in risk-adapted screening strategies. Full article

This research examines the connection between leadership and sustainable development, emphasizing how community involvement moderates it. It seeks to analyze the impact of leadership styles on sustainable development practices in three distinct cultural and economic contexts: Pakistan, India, and Taiwan. The study participants include managers, entrepreneurs, and consultants. A quantitative research methodology, which included questionnaires and statistical analysis, was used to collect data from business professionals in these three nations. This study considers the viewpoints of both general business leaders and the insights provided by small and medium-sized enterprises, which play a crucial role in driving economic growth in these areas. For example, 99% of Pakistan’s enterprises are small and medium-sized enterprises. However, due to financial constraints, small and medium-sized enterprises face obstacles such as limited innovative capacity. Small and medium-sized enterprises are vital to economic growth in Taiwan and India as well. Small and medium-sized enterprises generate many jobs and contribute substantially to GDP. Effective leadership is critical for promoting sustainability goals, as the findings show that leadership benefits sustainable development projects (H1). Sustainable development outcomes are greatly improved when the community is actively involved (H2), further demonstrating the significance of community involvement as a key component of effective sustainability measures. Contrary to expectations (H3), community involvement did not moderate the relationship between leadership and sustainable development as hypothesized; rather, it appeared as an independent factor that positively influenced sustainability outcomes. The findings highlight the broad relevance of effective leadership practices in various socioeconomic contexts. This study offers valuable insights for policymakers seeking to promote sustainable growth by emphasizing the importance of effective leadership practices and active community engagement within small and medium-sized enterprises. Full article

Background/Objective: To assess vulnerable Romanian children’s knowledge, attitudes, and beliefs regarding the HPV vaccination. Methods: Vulnerable children (ethnic minorities, high social vulnerability index, or low socioeconomic status) from three schools in Cluj County, Romania, were enrolled in a short educational presentation regarding HPV and were delivered a physical questionnaire consisting of 26 items. Results: 199 vulnerable school students concluded the questionnaire with a mean age of 14.62. Most participants were unaware of the HPV infection or the HPV vaccine. Following the educational program, most participants exhibited a reasonably elevated level of knowledge, which positively correlated with the intention to vaccinate. Fifty-three per cent of respondents would vaccinate in school if the vaccine were available, fifty-four per cent would vaccinate if the product were free of charge or at minimal cost, and over sixty-four per cent would vaccinate at their doctor’s recommendation. Several knowledge items, beliefs, and attitudes towards vaccination were disclosed to influence children’s preference to participate in vaccination campaigns. Conclusions: This analysis unveiled the pivotal role of knowledge about HPV in the immunization uptake within underserved, vulnerable populations of Romanian children. An intricate interplay between vulnerability, knowledge, accessibility, and the willingness to vaccinate was impacted by several beliefs and attitudes towards HPV vaccination. Most children were willing to participate in HPV immunization campaigns, whether school-based, reimbursed, or at the doctor’s recommendation. These findings act as pillars for assembling future educational campaigns in vulnerable Romanian communities of children, aiming to enhance awareness and coverage of HPV vaccination and ensure inclusive health policies. Full article

Globally, the mutations around forest landscapes continue to draw significant scientific interest, despite fragmented evidence on the socio-ecological outcomes linked to this process. This knowledge gap is evident in the Congo Basin—one of the world’s major ecosystems. To contribute towards addressing the knowledge gap, this study analyzed two decades of forest landscape mutations and the socio-ecological transformation-cum-outcomes linked to the process in Cameroon. A mixed-methods approach was employed, combining remote sensing-based land use/land cover (LULC) analysis (using multi-date Landsat imagery at 30 m resolution) with household surveys involving 100 randomly selected forest-dependent households across three forest blocks: Ebo, Ndokbou, and Makombé for ground truthing. Survey data were analyzed using descriptive statistics and combined spatial analysis to reveal the following. Firstly, forest cover has significantly increased within the 20-year period; this involved a 104.01% increase between 2004 and 2014, and an additional 47.27% between 2014 and 2024. In that vein, agricultural land declined by more than 20%, whereas settlement and water bodies increased by 226.4% and 376.2%, respectively. Secondly, forest landscape mutations in the Yabassi Forest Area were primarily driven by a convergence of social (notably population growth at 57% and livelihood diversification), economic (agricultural expansion and timber exploitation), political (tenure ambiguity and development-driven land conversion), and environmental (climate variability at 36% and ecological restoration efforts) forces. These interwoven drivers shaped the land use change process, revealing how the human-environment feedback defines landscape trajectories in complex and non-linear ways. Thirdly, while the ecological outcomes of forest mutations were largely positive—with significant gains in forest cover, the social outcomes were skewed towards the negative. Communities experienced both improvements in livelihoods and infrastructure (66%), but also faced land conflicts (67%), the loss of traditional access (69%), and resource-based insecurity. By applying the socio-ecological systems (SES) framework, this study provides novel insights on how governance, ecological processes, and human behavior co-evolve in forest landscapes. The findings do not only edify the SES framework but also challenge the mainstream position about forest decline by highlighting areas of recovery. The evidence informs adaptive forest governance processes in the Congo Basin and similar contexts. Further research should investigate the institutional and adaptive mechanisms that influence these dynamics across the Congo Basin. Full article

The economic efficacy of logistics infrastructure is being reshaped by the dual forces of digitalization and the labor market. However, a new-era “investment return paradox” has emerged. Digitalization and an abundant labor force are theoretically positive forces, so why does their combination, when coupled with capital investment, paradoxically engender negative emergence that suppresses growth? Conceptualizing the regional economy as a Socio-Technical System (STS), this paper unravels this paradox by identifying and theorizing an “adaptive lag trap”. Using provincial panel data from China, we first provide empirical validation for this trap, identifying a significant negative three-way interaction involving labor quantity (coef. = −0.218, p < 0.05). We then demonstrate that high-skilled labor quality is the key to mitigating this trap. While its direct interactive effects are not statistically significant, our analysis uncovers a robust and theoretically potent pattern: a higher-skilled workforce systematically reverses the negative trend of the interaction effect. The split-sample test provides the clearest evidence of this pattern, showing the coefficient pivoting from negative (−0.0572) in the low-skill subsample to positive (+0.109) in its high-skill counterpart. Our findings establish that high-skill human capital is a necessary condition to circumvent the “adaptive lag trap”, underscoring the imperative for a policy shift from investing in the scale of labor to cultivating its skill structure within a co-evolutionary framework. Full article

Introduction: Respiratory infections cause serious complications responsible for a significant number of deaths in Brazil. In addition, the causes of death can be influenced by social and economic inequalities in Brazilian regions. Objective: To analyze the epidemiological profile and the influence of demographic and socioeconomic factors on deaths from respiratory infections in the adult population between 2014 and 2023 in Brazil. Methods: This was an analytical ecological study using data from the Death Information System. Death incidences were calculated. Multinomial logistic regressions and correlation tests were used to analyze the influence of socioeconomic factors on deaths. Results: There were high incidences of deaths from unspecified pneumonia, unconfirmed tuberculosis and complicated influenza. Deaths from pneumonia and the Gini index were positively correlated, considering the variables black ethnicity (R = 0.894), age over 90 (R = 0.869) and no schooling (R = 0.818) before the pandemic. The odds ratio of death from tuberculosis and influenza in the 70–79 age group (OR = 3.97) and black ethnicity (OR = 1.24), respectively, were higher in the pandemic and post-pandemic periods compared to the previous period. Conclusions: Deaths from respiratory infections were mainly influenced by demographic variables and socioeconomic inequalities in Brazil. Full article