Search Results (13,348)

Understanding how Sustainable Development Goals (SDGs) interact—through synergies or trade-offs—is critical for coordinating economic growth, social equity, and environmental protection at the regional scale. However, empirical evidence on the structure, directionality, and spatial heterogeneity of SDG interactions remains limited, particularly in policy-supported regions undergoing development transitions. This study addresses this gap by examining SDG interactions in the former Central Soviet Area of Jiangxi Province, China. Using panel data from eight prefecture-level cities spanning 2001–2022, we construct a multi-dimensional SDG evaluation framework encompassing economic development, social equity and livelihood security, resource utilization and environmental protection, and sustainable cities and communities. A two-stage analytical approach is employed: Spearman’s rank correlation analysis is used to identify synergistic and trade-off relationships among SDGs, and a Geographically and Temporally Weighted Regression (GTWR) model is applied to estimate directional influences and their spatiotemporal heterogeneity among development dimensions. The results indicate that synergistic relationships dominate the regional SDG interaction network, while trade-offs are comparatively limited and selectively concentrated in specific goal pairings. Marked spatial heterogeneity is observed, with stronger synergies in the east than in the west. Functional-zone analysis reveals that ecological and cultural conservation zones exhibit the strongest synergies, whereas industrial transformation zones face pronounced trade-offs, particularly between food security (SDG2) and income inequality (SDG10). GTWR results further demonstrate directional asymmetry among development dimensions, with social equity exerting a stronger influence on economic development than the reverse, and relatively weaker feedback from economic growth to resource and environmental outcomes. Overall, this study provides a systematic, spatiotemporally explicit assessment of SDG interactions in a policy-supported regional context. By integrating interaction analysis with spatiotemporal modeling, it offers a robust empirical basis for understanding where, how, and in which direction SDGs interact, thereby contributing to more context-sensitive approaches to regional sustainable development. Full article

Intending to improve building performance and environmental sustainability, vertical greenery systems (VGSs) are employed as effective nature-based solutions (NbSs), yet they often struggle to meet modern building energy demands alone. This study investigates the integration of VGSs with advanced façade technologies (AFTs) to develop multifunctional hybrid façades. A systematic review was conducted following PRISMA 2020 guidelines, combining bibliometric and thematic analyses of 415 publications (2015 to early 2026) from Scopus and Web of Science. The study categorizes AFT into adaptive, energy-generating, and high-performance façades. The results indicate that VGS–photovoltaic (PV) systems and double-skin (DS) systems are the most studied integration scenarios, providing significant thermal regulation and energy efficiency. However, significant gaps remain for kinetic, modular, bioactive, and glazing systems, particularly regarding standardized workflows and long-term lifecycle assessments (LCAs). The study reveals a transition of VGSs from passive aesthetic elements to active building components. To address these identified gaps, a four-phase design strategy—conceptualization, hybridization, optimization, and development—is proposed to guide architects and engineers in decision-making regarding generating optimized hybrid façades. Integrating VGSs with AFTs is essential for urban resilience and an alignment with Sustainable Development Goals. Future research should prioritize standardized integration protocols and the application of smart technologies like artificial intelligence (AI). Full article

As a sustainability-oriented mode of education, cross-border digital education has distinct advantages, including a low carbon footprint associated with decreased student and staff commute times and expanded accessibility for disadvantaged learners. However, the intrinsic mechanisms by which globally mobile talent, including international students and transnational professionals, utilize their global skills and networks to create sustainable EdTech entrepreneurial initiatives need further investigation. Based on dynamic capability theory and resource orchestration logic, this study examines how human and social capital shape entrepreneurial engagement through resource integration capability (RIC) via PLS-SEM analysis of data collected from 318 transnationally mobile actors. The study finds that neither form of capital has a direct association on entrepreneurial entry; instead, both are associated with entrepreneurial entry indirectly through RIC, allowing mobile talent to combine and allocate knowledge, networks, and digital technologies across institutional and cultural boundaries. The study examines how cross-border EdTech entrepreneurship works towards creating inclusive and equitable quality education, as well as global partnerships, through scalable, adaptable, and low-carbon educational services, while meeting objectives 4 and 17 of the UN Sustainable Development Goals. This study reveals the transformation process centered around RIC, highlighting the need to create innovative ecosystems that transition from talent attraction to talent empowerment. The findings underline the importance of RIC in translating global mobility into sustainable digital education solutions. Full article

Logistics centers play a significant role in regional economic growth and development by optimizing logistics chains, minimizing transportation and transfer costs, shortening transit times, and enabling centralized management through support services. Intermodal transportation is an important function that enables goods to be transported efficiently using multiple modes of transport at logistics centers. This study examines 12 operational logistics centers in Türkiye, evaluating five types of transportation: unimodal (highway, railway) and intermodal (highway/railway, highway/airway, and highway/marine). The assessment considers four key criteria (transportation cost, carbon emissions, transportation risk, and transportation time) under various transportation distance and volume scenarios. The Fuzzy AHP method is employed to weight these criteria, and a goal programming model is developed to optimize transport mode selection. Among the evaluated transport modes, air transportation was not selected in any scenario due to its high cost and carbon emissions, aligning with the study’s focus on cost-efficiency and sustainability. The findings provide scenario-based recommendations for the most suitable transportation modes at each logistics center, contributing to more efficient and sustainable logistics operations. Full article

Arsenic (As) pollution has become a global concern, and the search for effective and sustainable As remediation methods has attracted much attention. Sustainable and cost-effective technologies for As remediation are essential to protect public health. This study aligns with the United Nations Sustainable Development Goals (SDGs), specifically SDG 6 (Clean Water and Sanitation) and SDG 12 (Responsible Consumption and Production), by transforming agricultural waste into value-added biochar for environmental remediation. Currently, studies on the remediation of As pollution using iron-modified biochar (Fe-BC) and cerium-modified biochar (Ce-BC) have demonstrated promising application potential. Although there is an established research foundation regarding their remediation performance and mechanisms, comparative studies evaluating their performance and mechanisms under unified experimental conditions remain limited. As in this study, Fe-BC and Ce-BC were prepared and systematically investigated. The As remediation performance and mechanisms of the two biochars were compared and analyzed through material characterization, aqueous adsorption experiments, and soil remediation assessments. The results showed that the specific surface areas of Fe-BC and Ce-BC were 94.380 m²·g⁻¹ and 36.388 m²·g⁻¹, respectively, both higher than that of the original biochar (BC). The Langmuir and Freundlich models adequately fitted the As adsorption processes of all three materials. Fe-BC and Ce-BC exhibited a tendency toward monolayer adsorption for As(III). The Freundlich distribution coefficient K_F of Fe-BC was 0.1604, which was higher than that of BC and Ce-BC, indicating superior adsorption performance for As(III). In the pot experiment, when Fe-BC and Ce-BC were applied at 5%, the As content in ryegrass decreased by 78.38% and 77.15%, respectively. Fe-BC reduced the available As content in soil by 63.1% and decreased As accumulation in ryegrass by 78.38%. The reduction in available As content achieved by Fe-BC was greater than that achieved by Ce-BC. Fe(III) oxides supported on Fe-BC immobilized As through complexation and precipitation mechanisms. Fe⁰ and Fe₃O₄ in the materials altered the redox potential of the local microenvironment, affecting the transformation and stabilization of As species. Ce-BC primarily oxidized As(III) to As(V), and Ce⁴⁺ facilitated the formation of CeAsO₄ precipitates due to its high redox potential. Full article

Environmental pressure in Nigeria persistently escalates despite several development efforts, prompting questions about the structural factors contributing to the nation’s ecological vulnerability. Considering this, the study employs a time-series research design that synthesizes collective theoretical perspectives to elucidate the interplay between income inequality (GINI), institutional quality (INST), trade in services (TO), and population density (POPd) in shaping Nigeria’s ecological footprint (ECF), utilizing data for the aforementioned variables from 1960 to 2024. The analysis shows time-varying dynamics across pollution regimes using Quantile-on-Quantile Regression (QQR) and Wavelet Quantile Correlation (WQC). The result reveals notable asymmetries across the ECF distribution. GINI and POPd intensify ecological pressure mainly at higher ECF quantiles. While INST serves as a key mitigating factor of ECF, particularly in a long-term pollution scenario. TO exhibits a regime-dependent effect, aligning with the Pollution Haven expectation in poor environments. These findings suggest that environmental outcomes in emerging economies are shaped by structural inequality and institutional strength. Highlighting the necessity of building institutional capacity to decouple inequality that drives ecological degradation. Thus, connecting national strategies with the Sustainable Development Goals (SDGs) 1, 8, 10, 11, 12, 13, 15, 16, and 17. These provide actionable insights into an inclusive and resilient environment. Full article

This study evaluated Apis mellifera brood fat extracts as a sustainable alternative to beeswax for anti-inflammatory topical delivery, including their formulation into nanostructured lipid carriers (NLCs). Brood fat was extracted using acetone, ethyl acetate (EA), and hexane, and the resulting extracts were characterized for fatty acid composition and physicochemical properties. Safety was assessed using the hen’s egg chorioallantoic membrane test and cytotoxicity testing in RAW 264.7 macrophages. Anti-inflammatory activity was assessed by inhibition of lipopolysaccharide-induced interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) production. The most suitable extract was formulated into NLCs using sugar squalane as liquid lipid, and the effects of lipid ratio and preparation method were investigated. The results showed that the ethyl acetate extract had the highest yield. Compared with beeswax, all fat extracts exhibited a favorable oleic acid–rich fatty acid profile with comparable crystallinity and thermal behavior, while showing significantly enhanced anti-inflammatory activity (p < 0.05). All extracts and their NLCs were non-irritating and non-cytotoxic. Ethyl acetate extract-based NLCs exhibited favorable particle sizes (72.1 ± 0.3 nm) and narrow polydispersity (0.14 ± 0.00), with high-pressure homogenization producing smaller particles compared to probe sonication without affecting IL-6 or TNF-α inhibition. Therefore, A. mellifera brood fat extract is a sustainable anti-inflammatory lipid source with strong potential as an alternative to beeswax in topical nano-formulations. Full article

Driven by the goal of sustainable energy transitions, the integration of Inverter-Interfaced Distributed Generation (IIDG) has led to a continuous decline in the accuracy of single-phase grounding fault line selection in neutral non-effectively grounded distribution networks. Protection methods based on characteristic signal injection currently struggle to balance the differentiated requirements of fault detection sensitivity and equipment safety in networks with high-penetration IIDG. To address this issue, a high-frequency equivalent circuit model of the IIDG is established. The distribution patterns of the high-frequency characteristic current (HFCC) in distribution networks under high-penetration IIDG are analyzed. Subsequently, an adaptive HFCC injection strategy is proposed, which accounts for IIDG low-voltage ride-through (LVRT) requirements, fault identification sensitivity, and equipment safety constraints. Based on the amplitude and phase differences in the HFCC between faulty and healthy feeders, a fault line selection criterion is established. Consequently, an adaptive injection-based protection method for single-phase grounding fault is developed, considering the impact of high-penetration IIDG. Simulation results demonstrate that the proposed method accurately identifies the faulty feeder under various fault locations, transition resistances, and quantities of integrated IIDG units. The results further confirm the high adaptability and reliability of the method, thereby providing a robust technical foundation for the safe, reliable, and sustainable operation of modern power grids. Full article

Educational sustainability necessitates a holistic development paradigm where academic resilience and physical literacy are mutually reinforcing. Within the framework of the United Nations Sustainable Development Goals (specifically SDG 3: Good Health and Well-being and SDG 4: Quality Education), this study investigates the predictive capacity of kinesthetic profiles—encompassing both intelligence and learning styles—on sports attitudes and academic achievement among adolescents. Employing a quantitative cross-sectional design, data were collected from a substantial sample of 695 adolescents. The regression analyses revealed a critical pedagogical distinction: unlike kinesthetic intelligence, the kinesthetic learning style (β = 0.612), emerged as the paramount predictor of sports attitudes explaining a substantial 42.3% of the total variance. Furthermore, a significant positive correlation was identified between kinesthetic traits and academic performance, challenging the traditional dichotomy between physical and cognitive development. These findings advocate for a strategic paradigm shift from “one-size-fits-all” instruction to kinesthetic-based pedagogies that align with students’ sensory preferences. Consequently, integrating movement-oriented strategies into curricula is proposed not merely as an instructional choice, but as a vital sustainable education strategy to foster both academic excellence and the lifelong physical and mental well-being of the next generation. Full article

Foreign direct investment (FDI), particularly high-quality FDI, serves as a critical driver in achieving the Sustainable Development Goals (SDGs). However, understanding how to enhance FDI quality remains a pressing challenge for policymakers and researchers alike. As a core determinant of FDI quality, the business environment necessitates a thorough examination of its underlying mechanisms. Drawing on provincial-level data and firm-level data from listed foreign-invested enterprises in China spanning 2011 to 2023, this study constructs an FDI quality evaluation index system aligned with the goal of sustainable development at the micro-enterprise level, empirically examines the impact of the business environment on FDI quality. Our findings reveal a consistent upward trajectory in China’s FDI quality throughout the sample period, with the business environment exerting a significantly positive influence. Dimensional decomposition reveals that the government-legal environment and openness to foreign investment demonstrate particularly pronounced positive effects. These effects operate primarily through three mechanisms: stimulating entrepreneurship, accelerating digital transformation, and optimizing supply chain configurations. Moreover, these effects are more pronounced among wholly foreign-owned enterprises, firms with superior knowledge absorption capacity, and those facing higher perceived economic policy uncertainty. Extended analysis further demonstrates that enhanced FDI quality makes substantial contributions to sustainable development outcomes. This study extends the research on FDI quality from the macro level to the micro level, broadening the research perspective of related fields. The conclusions not only furnish robust theoretical evidence on how business environments foster high-quality FDI, but also provide actionable policy insights for countries seeking to optimize their institutional frameworks to attract quality foreign investment in alignment with the SDGs. Full article

Energy security has become a strategic priority for ensuring sustainable economic development, particularly for European Union (EU) countries characterized by high external energy dependence. This study investigates the key drivers of energy security risks in selected EU countries over the period 1995–2018, focusing on economic growth, tourism expenditures, technological innovation, renewable energy consumption, and urbanization. The empirical analysis employs panel vector autoregression and a panel error correction model to examine short- and long-run causal dynamics, while the augmented mean group estimator captures cross-country heterogeneity. The findings indicate that economic growth is the primary short-run determinant of energy security risk, whereas all variables exert significant long-run effects. Country-level results reveal common patterns for growth, renewable energy consumption, and urbanization, but heterogeneous impacts for tourism and technological innovation. These results suggest that strengthening renewable energy adoption, promoting innovation, and supporting sustainable urban development can enhance long-term energy resilience. Overall, this study provides policy-relevant insights for designing sustainability-oriented energy strategies aligned with the European Union’s climate transition goals. Full article

Sustainable tourism is essential for preserving natural habitats and represents a vital component of sustainable development. This study addresses a business decision-making problem related to natural resource conservation and habitat protection through waste management and IT applications in the Serbian hotel sector. Tourism in Serbia and the Western Balkans represents a sensitive issue concerning the balance between economic development and environmental protection. Therefore, the multi-criteria optimization methods Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are applied to address this problem. To achieve this goal, a hierarchical model was developed that considers nine criteria and four alternatives. The alternatives considered are: service user satisfaction, service cost, waste minimization, and service quality. The developed model was analyzed using a hybrid AHP–TOPSIS approach to identify the optimal alternative. The results indicate that environmental waste prevention ranks highest among all considered alternatives and plays a significant role in the development of sustainable tourism in Serbia. Full article

Lithium is a critical mineral for traction batteries and a cornerstone of the sustainable transition toward low-carbon transportation. Understanding the supply–demand dynamics and resource-saving potential of lithium is essential for advancing circular economy goals and ensuring the long-term stability of the electric vehicle (EV) industry. This study develops an integrated lithium forecast framework by coupling a System Dynamics (SD) model with dynamic Material Flow Analysis (MFA) and multi-scenario pathways. To ensure robust conclusions, the model is validated against historical data, and a multi-level sensitivity analysis is conducted to address the inherent uncertainties of evolving socio-technical assumptions over a ten-year horizon. The simulation results reveal that under the baseline scenario, China’s EV stocks and annual lithium demand will grow by 8.3 and 4.7 times from 2024 to 2035, respectively. This rapid expansion poses a significant sustainability challenge, as cumulative demand will deplete 50–71% of China’s domestic lithium reserves by 2035. Despite a projected supply–demand gap of 110–120 kt/yr, the study identifies critical pathways for resource decoupling and circularity. Technology-driven interventions, such as enhancing energy density and extending battery lifespan, can reduce primary lithium demand by up to 18.9%. Furthermore, optimizing the closed-loop recycling system can contract the supply–demand gap by 31–39%, demonstrating the pivotal role of secondary resource recovery in building a resilient supply chain. Despite this reduction, a persistent reliance on international markets remains inevitable. These findings provide a quantified scientific foundation for policymakers, emphasizing that lithium security requires a synergistic transition from volume-based subsidies to resource efficiency mandates and standardized, formal closed-loop recycling systems. Full article

Land resources constitute the fundamental basis for human survival and a core element of social development. The quantity, quality, and ecological condition of land resources are crucial for human well-being and sustainable development, and they make significant contributions to achieving the United Nations Sustainable Development Goals (SDGs). However, the influence of land ecological quality on the implementation of the SDGs has not yet been fully clarified. This study utilizes 1 km spatial resolution geospatial data and statistical data to construct a land ecological environment quality evaluation index system based on the Pressure–State–Response (PSR) model, analyzing the spatiotemporal dynamics of land ecological environment quality in China from 2010 to 2020 (with five-year intervals). In addition, the Spearman correlation coefficient was employed to examine the relationships between the land ecological environment quality index (LEEQI), pressure index (PI), state index (SI), response index (RI), and the implementation of SDGs 6, 11, 12, and 15, and to further explore how geographical economic zones influence the effects of these indices on the achievement of the SDGs. The results indicate that land ecological quality in China shows a strong north–south gradient, while the east–west differentiation is relatively weak, and the overall trend is increasing. The LEEQI values ranged from 0.16 to 0.48; the PI values ranged from 0.00 to 0.24; the SI values ranged from 0.03 to 0.29; and the RI values ranged from 0.01 to 0.26. The LEEQI gap between the western and northeastern regions narrowed significantly, from 0.10 to 0.07. LEEQI and RI promote the achievement of all four SDGs, whereas PI and SI mainly promote the realization of SDGs 6, 11, and 12. The synergistic effects of the four indices on the SDGs are observed in the central, eastern, and western regions, with the most significant effects occurring in western China. Specifically, LEEQI shows the strongest correlation with SDG 6; both PI and SI exhibit synergistic effects with SDGs 12 and 15; and RI demonstrates synergistic effects with all four SDGs. These findings suggest that improving land ecological quality is crucial for advancing the achievement of the SDGs. Furthermore, given that land ecological environment quality and its dimensions exert different influences on the implementation of the SDGs across geographical economic regions, it is necessary to develop tailored and region-specific strategies, particularly in western China, where maximizing improvements in land ecological quality is crucial for promoting sustainable development. Full article

Background: Service quality and patient satisfaction are key indicators of healthcare performance, yet disparities remain between public hospitals and private clinics in Peru. Understanding these differences is essential for improving patient-centered care and advancing Sustainable Development Goal 3 (Good Health and Well-Being). The study examined how perceived service quality relates to user satisfaction in Trujillo’s private and public institutions. Methods: A cross-sectional study was conducted involving 480 users from public and private healthcare institutions. Service quality was assessed using the SERVQUAL model, and user satisfaction was measured with a validated Likert-scale instrument. Data did not follow a normal distribution (Kolmogorov–Smirnov test); thus, nonparametric statistics were applied. A two-step cluster analysis was additionally performed to identify user profiles based on the five quality dimensions of quality. Results: Participants from both health centers exhibited a range of sociodemographic profiles with regard to age, gender and income. Private clinics reported high levels of perceived service quality (95.8%) and user satisfaction (89.3%), whereas the public hospital showed moderate ratings in both dimensions. In the public setting, empathy and tangible elements emerged as significant predictors of satisfaction, while in private clinics, these same dimensions exhibited negative associations. The cluster analysis identified two distinct user profiles, with tangibles and reliability being the most influential predictors. Conclusions: Significant differences were observed between private and public institutions. Although service quality was positively associated with satisfaction, its explanatory power was limited, suggesting the influence of additional unmeasured factors. This study opens avenues for future research on how differentiated strategies can be scaled and adapted to strengthen public healthcare delivery in Peru, ensuring alignment with equitable and patient-centered care principles promoted by SDG 3. Full article