Search Results (15,425)

Livestock farming is a key socioeconomic activity on Santa Cruz Island, Galápagos (Ecuador); however, its development within a fragile ecological context poses significant challenges for biodiversity conservation. This study analyzes the perceptions of livestock producers regarding the effects of livestock production on key components of biodiversity on Santa Cruz Island. It also examines the relationship between these perceptions and sociodemographic and productive variables, while identifying mitigation strategies from the perspective of local stakeholders. A structured survey was conducted with 92 producers, covering sociodemographic profiles, environmental perceptions, perceived effects on soil, water, and fauna, as well as mitigation strategies. Descriptive statistics, chi-square tests, and logistic regression were used to examine relationships between production characteristics and perceived impacts. The results indicate that producers primarily associate biodiversity decline with livestock expansion, intensification, and land-use change driven by deforestation. Producers with greater experience more frequently reported changes in native species, with significant associations between these perceptions and reported effects on water quality and soil degradation. Nevertheless, some cumulative environmental effects were inconsistently recognized, highlighting gaps in the understanding of island ecological dynamics. Regarding mitigation, 80% of respondents supported subsidies for sustainable practices, and 60% expressed willingness to receive training; in contrast, the implementation of these strategies could be limited by technical, economic, and institutional constraints. Overall, the results reflect heterogeneous perceptions of livestock-related impacts, highlighting the importance of incorporating local knowledge into the design of management strategies, while not replacing the need for direct ecological assessments. Full article

High-efficiency industrial motors are increasingly important for reducing energy consumption, operating costs, and indirect carbon emissions. This study presents a comparative evaluation of IE2 and IE4 efficiency class induction motors with the same rated power and frame size through finite element analysis and prototype testing. Two-dimensional transient electromagnetic models were developed in ANSYS Maxwell to investigate magnetic flux distribution, torque behavior, losses, and steady-state performance, and the numerical results were experimentally validated according to IEC 60034-2-1 procedures. The results show that the IE4 motor provides a more balanced magnetic flux distribution, lower local saturation tendency, reduced torque ripple, and lower total losses than the IE2 motor. Experimental measurements confirmed the numerical predictions with good agreement, particularly at the rated operating point. In addition to higher efficiency, the IE4 motor exhibited stronger starting and breakdown torque characteristics, indicating superior load-handling capability. An economic assessment based on a representative duty cycle showed that the relative additional cost of the IE4 motor can be recovered within approximately 0.81 years, while lower annual electricity consumption also reduces indirect CO₂ emissions. Furthermore, the IE4 prototype operated at a lower thermal steady-state temperature, supporting longer insulation life and improved long-term reliability. Overall, the findings demonstrate that replacing conventional IE2 motors with IE4 alternatives is not merely an efficiency upgrade, but also a technically robust, economically justified, and environmentally effective strategy for sustainable industrial systems. Full article

Business models have historically prioritized efficiency and profitability, often at the expense of environmental and social concerns. Balancing profitability and sustainability remain a central challenge in global apparel supply chains, amid increasing competitive, regulatory, and consumer scrutiny. This study explores how organizations navigate this tension through an interpretive case study of a South Asia-based apparel manufacturer that piloted multi-tier traceability technologies, combining physical and digital tracking to ensure a traceable chain of custody. In-depth interviews with senior decision-makers, guided by a deductive approach using strategic duality theory as a sensitizing device, identified four mechanisms for reconciling economic and environmental goals: (1) achieving economies of scale through digital platformatization; (2) enhancing authentication and verification; (3) creating benchmarking matrices linking sustainability and performance; and (4) enabling data-driven decision making. The study contributes to theory and practice by demonstrating how traceability technologies position sustainability as a long-term driver of profitability, innovation, and ethical value creation. Full article

While several dosing protocols for iodinated contrast media (ICM) exist, a consensus strategy for optimising the physical imaging signal in abdominal CT is lacking. This systematic review and meta-analysis evaluated the performance of individualised dosing protocols, specifically focusing on technical signal optimisation, clinical safety, potential material savings, and environmental sustainability. Electronic databases (Cochrane, Embase, Medline) were searched up to January 2026. Systematic synthesis of 23 studies (11,680 participants) compared protocols based on lean body weight (LBW), total body weight (TBW), fixed volume (FV) and software-assisted dosing. Meta-analyses assessed volume optimisation and hepatic enhancement, with evidence certainty evaluated via the GRADE framework. TBW-based dosing significantly reduced contrast volume by −8.74 mL compared to FV protocols (p = 0.02), while the −4.04 mL reduction in LBW versus TBW groups represented a non-significant trend (p = 0.11); however, a sensitivity analysis revealed a significant effect (−5.41 mL, 95% [CI: −10.43, −0.39]; p = 0.03). Pooled hepatic enhancement showed no statistically significant differences for LBW vs. TBW (−1.36 HU, p = 0.43) or FV vs. TBW (−2.74 HU, p = 0.13). Individualised ICM dosing, particularly LBW-based, may potentially offer a foundational strategy for greener and material savings in clinical radiology by minimising population-level iodine load. Despite modest individual volume reductions, these protocols may potentially facilitate standardised imaging enhancement, though higher-quality randomised trials are required to confirm safety and economic benefits. Full article

This study examines the governance challenges posed by new forms of employment in the context of China’s new urbanization, focusing particularly on the widespread phenomenon of “residing without settling” among on-demand platform workers in megacities. Based on a survey of 1627 respondents in Guangzhou, the findings reveal a pronounced gradient stratification in on-demand platform workers’ residence intention. Specifically, 57.3% of respondents demonstrate positive short-term residence intention, whereas long-term residence intention is predominantly characterized by neutral attitudes (73.3%), and settlement intention exhibits a clearly negative tendency (67.8%). Structural Equation Modeling indicates that residential environment exerts the strongest positive effect on sense of place (β = 0.47), followed by economic foundation (β = 0.24), while social capital demonstrates the weakest promoting effect (β = 0.22). Scenario analysis using Bayesian Network further reveals that when place attachment reaches a high level, the probability of positive long-term residence intention among on-demand platform workers increases by 22.1%, whereas improvements in residential environment reduce the probability of negative settlement intention by 5.2 percentage points. The results demonstrate that the residence intention of on-demand platform workers arises from the interplay of socioeconomic conditions, material space and emotional embedding. Notably, the sense of place forms a critical emotional attachment mechanism through a mediating effect. Economic deprivation acts as the primary constraint, while environmental quality serves as a fundamental limiting factor. Conversely, social capital accumulation partially mitigates these barriers. The findings contribute to a nuanced understanding of urban inclusiveness and labor force stability in the digital economy. Moreover, this study provides policy insights for optimizing urban population structures and fostering socially sustainable development. Full article

The replacement of fishmeal with plant-based ingredients in aquafeeds, while economically and environmentally advantageous, can impair lipid metabolism and liver function in fish due to the lack of specific bioactive compounds such as bile acids (BAs). BAs are amphipathic steroid molecules that facilitate lipid digestion and act as signaling hormones, yet their optimal inclusion levels in conventional, balanced diets for Nile tilapia (Oreochromis niloticus) remain undefined. This study evaluated the effects of dietary BA inclusion on growth performance, feed efficiency, body composition, and serum biochemical parameters of juvenile Nile tilapia (GIFT strain, initial weight 18.04 ± 3.67 g) and estimated the optimal inclusion level. Six isoproteic (320 g kg⁻¹) and isoenergetic (3300 kcal kg⁻¹) plant-based diets were formulated with increasing BAs levels (0, 50, 100, 200, 400, and 600 mg kg⁻¹) and fed to quadruplicate groups for 45 days. Only the Linear Response Plateau (LRP) model converged for weight gain data, estimating the optimal BA level at 479.70 mg kg⁻¹, with a plateau weight gain of 76.60 g. Inclusion of the 50–600 mg kg⁻¹ BAs significantly improved specific growth rate (up to 4.53%), crude protein retention efficiency (up to 81.11%), and whole-body crude protein content (up to 50.52%) compared to the control (p < 0.05). Fish fed 200 mg kg⁻¹ BAs exhibited the highest protein retention and lowest ether extract deposition, indicating a protein sparing effect. Serum lipase activity increased proportionally with BAs levels, while alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities were reduced at 400 mg kg⁻¹ BAs, reflecting improved liver health. No mortality was recorded. In conclusion, dietary BAs inclusion enhances growth, protein utilization, and hepatic function in juvenile Nile tilapia fed plant-based diets. The recommended optimal level is 479.70 mg kg⁻¹ (dry matter basis), although significant benefits already occur from 50 mg kg⁻¹. These findings support the strategic use of BAs to improve the sustainability and efficiency of tilapia production. Full article

Turbofan engine performance is critically sensitive to operating conditions, yet comprehensive frameworks that simultaneously assess exergo-economic, exergo-environmental, and lifecycle cost performance across realistic flight envelopes remain limited, particularly for Gulf-region climates. In this study, we present a comprehensive analysis of the exergo-economic, exergo-environmental, and lifecycle costings of five different configurations of two-spool and triple-spool turbofan engines. The analysis was carried out for a wide range of four operating conditions, namely ambient temperature, flight altitude, Mach number, and % relative humidity, with emphasis on the climate conditions likely to be found in the Gulf region. The computational models developed were validated against published data to confirm their reliability. It was found that fuel consumption was the most significant contributor to total lifecycle ownership cost, between 60 and 75% of hourly operating cost over a 20-year service period. Ambient temperature, Mach number, and Cruise altitude represented the most significant drivers of long-term economic performance, with % relative humidity having little effect. Exergo-economic analysis showed that the major cost mechanisms changed dramatically with operating conditions. Exergy destruction and component inefficiencies determined the costs at Takeoff, with capital investment being the dominant factor when cruising. Increase in both or either ambient temperature and altitude was shown to reduce cost rates but simultaneously reduced thermo-economic efficiency via higher specific exergy costs. However, increase in Mach number enhances both exergy output and cost-effectiveness, confirming that specific exergy cost is a more reliable indicator of true system performance than cost rate alone. The two-spool configurations show superior specific CO₂ emissions, with Case 3 recording the lowest emissions at Takeoff and Case 2 at Cruise. For exergy-based environmental indicators, Case 3 performs best at both Takeoff and Cruise, achieving the lowest environmental destruction coefficient and index, as well as the highest environmental benign index among all five configurations. These findings provide actionable guidance for engine selection, operational optimization, and sustainable propulsion system design. Full article

Surface congestion and taxiing delays at high-density airports increasingly constrain aviation sustainability, as ground-phase fuel consumption and emissions constitute a significant share of total airport emissions. Existing studies typically decouple air traffic flow management from ground resource scheduling, hindering coordinated optimization of punctuality, environmental benefits, and resource utilization. This paper proposes a multi-objective optimization method for runway-taxiway systems oriented toward air–ground collaborative decision-making, integrating Calculated Take-Off Time (CTOT) compliance constraints. A tri-objective mixed-integer programming model is formulated to minimize CTOT deviation, total taxiing time, and runway workload imbalance. A hybrid intelligent algorithm, SSA-SCA-NSGA-II, is designed with a bidirectional elite feedback mechanism to address this NP-hard problem. Validation uses real operational data of 58 departure flights during a peak period at Beijing Daxing International Airport. The results demonstrate that the proposed method achieves effective trade-offs on the Pareto front: CTOT compliance rate increased from 77.6% to 89.7–96.6%; total taxiing time decreased from 692 min to 551–635 min; and dual-runway utilization imbalance declined from 5.2% to 1.7–3.8%. These improvements translate into quantifiable sustainability gains: fuel consumption is reduced by 1425–3525 kg and CO₂ emissions by 4503–11,139 kg per peak hour, alongside a 19-percentage point improvement in punctuality that lowers passenger delay costs and reduces controller coordination workload. By simultaneously advancing environmental sustainability (carbon footprint reduction), economic sustainability (fuel and operational cost savings), and social sustainability (service punctuality and labor efficiency), the framework provides a measurable, monitorable, and policy-relevant decision-support tool for green airport surface operations aligned with sustainable development goals (SDGs). Full article

This paper proposes an optimal operational framework for enhancing the economic, technical, and environmental performance of a renewable energy-based microgrid. The proposed system integrates photovoltaic (PV) generation, wind turbines (WTs), battery energy storage systems (BESSs), diesel generators (DGs), and utility grid interaction. Three multi-objective optimization algorithms, namely Multi-Objective Particle Swarm Optimization (MOPSO), Multi-Objective Genetic Algorithm (MOGA), and Multi-Objective Celestial Orbit Optimization (MOCOO), are employed to minimize the total operating cost and grid dependency. The obtained results demonstrate that MOPSO achieves the best techno-economic performance with a minimum operating microgrid cost of 2.2 M$/year and a low grid dependency ratio of 0.0333. The operational analysis confirms that the proposed renewable-priority scheduling strategy significantly reduces operational emissions and reliance on the utility grid through coordinated BESS charging/discharging and efficiency-aware DG dispatch. The microgrid (MG) achieves zero-emission operation during operating periods dominated by renewable generation. Furthermore, the DG operates within an efficiency range of 36.8–39.3%, improving fuel utilization and reducing unnecessary emissions. The battery degradation analysis indicates high lifetime cycle capability under shallow depth-of-discharge operation, demonstrating improved long-term operational sustainability. Overall, the proposed framework provides a reliable and economically balanced solution for sustainable microgrid energy management. Full article

The paper examines the macroeconomic and environmental outcomes associated with green financing across 22 emerging markets and developing economies from 2002 to 2024. Driven by the increased policy focus on climate finance as a two-fold tool of sustainability and development, the analysis assesses whether green financing is an economic growth driver. A multi-model structure is used (fixed effects, non-linear (quadratic), threshold, dynamic (lagged), and first-difference specifications) to achieve strength and eliminate model-specific bias. The findings show that green financing exhibits a weak positive association with economic growth in baseline and regime specifications. Still, this relationship is not robust across dynamic and first-difference models. Moreover, there is no indication of non-linearity or a threshold effect (a Green Laffer Curve). Patterns that indicate a weak positive relationship are cross-sectional and not robust to panel estimation; they are therefore aggregation-biased. Conversely, green financing has a low negative correlation with CO₂ emissions, indicating partial environmental efficiency. The results show that climate finance is limited in scale and inefficiently structured, which limits its macroeconomic impact. In general, the paper concludes that green finance, although environmentally applicable, is not sufficient as it currently stands to spur economic growth in emerging economies. Full article

The Sustainable Development Goals (SDGs) are widely presented as an integrated framework for social, economic, and environmental progress, yet recent assessments indicate substantial implementation shortfalls. This scoping review maps post-2015 scholarship on one of the framework’s most contested fault lines: the relationship between Goal 8 (economic growth) and the ecologically oriented goals, especially Goals 6, 12, 13, 14, and 15. Following established scoping review guidance, 32 sources published between 2015 and 2026 were identified from Scopus, Web of Science, Google Scholar, citation searching, and selected grey literature. The synthesis indicates four main patterns in the included corpus. First, a substantial share of the reviewed literature characterizes continued growth-centred development and ecological sustainability as difficult to reconcile under current technological and institutional conditions, particularly given evidence on material throughput, emissions, and planetary boundaries. Second, the corpus recurrently describes three mechanisms through which this tension is muted within the SDG architecture: the rhetorical absorption of ecological limits into “green growth” discourse, strategic vagueness in targets and indicators, and the marginalization of alternative development ontologies. Third, the review synthesizes these mechanisms under the interpretive concept of paradigmatic stacking. Fourth, the corpus identifies alternative resources for a successor framework, including relational and plural conceptions of well-being associated in the reviewed literature with Ubuntu, Buen Vivir, and Gross National Happiness. Taken together, the findings suggest that debates about SDG underperformance cannot be reduced to implementation alone but also involve questions of conceptual design. The article concludes by outlining ontological pluralism as a possible direction for post-2030 framework design. Full article

Pesticide contamination in urban runoff, stormwater, and peri-urban drainage networks is an increasing concern because of the persistence, mobility, and ecological toxicity of many pesticide residues and their transformation products. Nature-based solutions (NBSs), including constructed wetlands, bioretention systems, biofilters, and permeable reactive bio-barriers, provide low-energy and ecologically compatible platforms for urban water treatment; however, their performance is often constrained by limited sorption capacity, substrate saturation, variable hydraulic loading, and incomplete degradation of persistent pesticides. Biochar offers a multifunctional amendment for strengthening these systems because its tunable porosity, surface functionality, mineral composition, redox activity, and microbial habitat-forming capacity can support pesticide adsorption, catalytic transformation, and biodegradation. This review critically evaluates biochar-integrated NBSs for pesticide-contaminated urban water systems by linking biochar production and modification strategies with pesticide removal mechanisms, biochar–microbe interactions, engineered treatment configurations, and field-scale applicability. A comparative synthesis is provided across material-level mechanisms, system-level performance, machine learning-assisted prediction, techno-economic feasibility, life-cycle impacts, and environmental risk considerations. By integrating material properties, removal mechanisms, NBS configurations, predictive modeling, sustainability assessment, and risk considerations, this review provides a broader comparative basis than previous studies focused mainly on individual aspects of biochar-based pesticide remediation. Future priorities include standardized biochar production, long-term field validation, spent-biochar management, ecotoxicological assessment, and data-driven optimization of biochar-assisted NBSs. Full article

As an emerging technology-intensive industry, the low-altitude economy (hereafter LAE) has attracted growing attention for its potential contribution to sustainable development. However, little is known about whether its expansion can simultaneously promote environmental improvement and economic growth. Using panel data from 30 Chinese provinces from 2012 to 2023, this study examines the relationship between the LAE and the synergistic development of carbon reduction, pollution mitigation, green transition, and economic growth (hereafter CPGE). Green technological innovation (hereafter GT) is incorporated as a mediating variable, while artificial intelligence (hereafter AI) is introduced as both a moderating and a threshold variable to explore the underlying mechanisms and nonlinear effects. The results show that the LAE is significantly and positively associated with CPGE. GT exhibits a significant negative mediating effect, suggesting that the benefits of green innovation may not yet have been fully translated into coordinated green development outcomes during the sample period. AI not only strengthens the positive association between the LAE and CPGE but also exhibits a significant threshold effect. The contribution of the LAE becomes substantially stronger once AI development surpasses a critical level, highlighting the important role of digital intelligence in amplifying the environmental benefits of emerging industries. In addition, the impact of the LAE displays pronounced regional heterogeneity, with stronger effects observed in non-resource-based and non-central regions. This study contributes to the literature by revealing that the environmental effects of the LAE depend not only on innovation channels but also on the level of digital intelligence development. AI serves as a critical enabling condition for translating the growth potential of the LAE into coordinated green development. By revealing the mediating role of GT and the moderating and threshold effects of AI, this study provides new evidence on how emerging industries contribute to sustainable development. The findings underscore the importance of aligning LAE development with AI-driven digital transformation to advance sustainable regional development. Full article

This study empirically investigates the interplay between two foundational knowledge frameworks in architectural design education: the Vitruvian triad (Architectural Knowledge Traditions—AkT) and the Triple Bottom Line (Sustainability Knowledge Traditions—SkT). Focusing on Ethiopia as a case of non-industrial urbanization in the Global South, where socio-economic realities diverge from Global North contexts, the research examines how the six variables within these frameworks interact within pedagogical practice. Using a mixed-methods approach, the study combines questionnaires from senior architectural design instructors across 13 universities with a critical content analysis of university exit model-examinations. Analyzed through specific theoretical lenses, findings reveal a critical divergence: while instructors demonstrate strong theoretical awareness of complementarity between the two traditions, their model-assessment focuses contradict this stance. The analysis reveals a fundamental skew toward an inherited environmental doctrine, where the Venustas–Environment coupling dominates at the expense of social and economic survival imperatives. The study concludes that these “knowledge overlaps” do not inherently warrant successful integration but instead reflect a “design–reality gap” fueled by globalized doctrines and knowledge coloniality. The study concludes by providing the empirical grounding necessary to dismantle the often-universalized norms, arguing for a localized matrix that centers epistemological autonomy within architectural education in the Global South. Full article

Agri-food systems are increasingly exposed to environmental, economic, and social challenges, including climate change, biodiversity loss, resource depletion, and growing territorial inequalities. In this context, agroecology is increasingly recognised as a transformative paradigm integrating ecological, economic, social, cultural, and political dimensions within broader processes of food-system transition. Within the PRIMA AgrEcoMed project, 24 Italian agroecological initiatives led by women and young farmers were analysed to explore their contribution to agroecological transition processes in Mediterranean rural areas. The study adopts a qualitative multiple-case study approach and evaluates the selected initiatives through the framework of the 13 Principles of Agroecology proposed by the High-Level Panel of Experts on Food Security and Nutrition, organised into three operational axes: improving resource efficiency, strengthening resilience, and ensuring social responsibility and fairness. The results show that the analysed initiatives combine ecological farming practices with processes of multifunctionality, territorial networking, knowledge co-creation, short supply chains, and community engagement. The findings suggest that several initiatives move beyond input-reduction strategies associated with “weak agroecology” and display characteristics consistent with stronger agroecological pathways based on territorial embeddedness, collective learning, and the reorganisation of relationships between production, consumption, and local communities. The paper highlights the relevance of agroecology not only as an environmentally sustainable farming approach, but also as a broader socio-ecological and territorial transition process, as well as the importance of policy frameworks to support territorial agroecological systems. Full article