Search Results (1,271)

Desalination is an urgent response to global freshwater shortages, serving more than 300 million people by 2025. However, it is a technology that still raises several sustainability concerns. Through this study, we aim to propose a systematic review based on the PRISMA methodology, analyzing 45 studies published between 2015 and 2026. Quantitative synthesis of 45 studies showed brine salinity ranging from 40 to 75 g/L, boron and bromate concentrations of 1.8 mg/L and 25 µg/L, respectively, and energy consumption of 3–5 kWh/m³ for membrane systems, reaching 15 kWh/m³ for thermal technologies. Economically, the levelized cost of desalinated water remains high (USD 0.5–2.0/m³) due to the high energy consumption of up to 15 kWh/m³ in thermal processes. This study proposes several mitigation strategies, including diffuser optimization, integration of renewable energies, and brine recovery through the extraction of strategic minerals. The originality of this study lies in its integrated approach, combining health, environmental, energy, and economic dimensions, all addressed together in previous reviews. These results demonstrate the need for regional governance and consistent international standards to achieve sustainable water desalination that combines water security and ecosystem conservation. Full article

Precision agriculture (PA) has emerged as a transformative approach for improving agricultural productivity, resource-use efficiency, and environmental sustainability through the integration of digital technologies, including Global Positioning Systems (GPSs), Geographic Information Systems (GISs), remote sensing, the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and autonomous systems. Although previous reviews have primarily emphasized technological innovation, adoption trends, or environmental outcomes, they have provided limited synthesis of the economic mechanisms linking technology adoption, resource allocation, production efficiency, investment performance, and long-term sustainability. A structured narrative–systematic review was conducted using peer-reviewed research retrieved from Scopus, Web of Science, and Google Scholar, covering studies published between 2004 and 2026. An integrated analytical framework combining technology adoption theory, resource economics, and production-efficiency models was employed to explain how digital technologies generate economic value while identifying methodological limitations, geographical bias, unresolved research questions, and future research priorities. The review demonstrates that GPS-guided machinery, variable-rate technologies, smart irrigation systems, AI-driven decision-support tools, and integrated digital platforms improve water- and nutrient-use efficiency, labor productivity, production efficiency, and farm profitability. However, economic performance remains highly context-dependent, varying according to farm size, crop type, climatic conditions, institutional support, digital infrastructure, resource scarcity, and policy environments. Methodological inconsistencies in return on investment (ROI), net present value (NPV), lifecycle costing, ecosystem-service valuation, and environmental externality assessment reduce comparability among studies and complicate evidence-based policymaking. The review further identifies a pronounced geographical concentration of evidence in North America, Europe, and Australia, with comparatively limited understanding of PA economics in China, India, Brazil, Sub-Saharan Africa, and Southeast Asia. Persistent challenges include high capital costs, unequal access among smallholder farmers, data governance concerns, interoperability limitations, uncertainty in long-term investment performance, and limited integration of agricultural insurance, climate-risk management, and digital finance. By integrating economic theory, methodological comparison, geographical analysis, sustainability valuation, and policy perspectives within a unified conceptual framework, this review highlights the need for standardized economic evaluation methodologies, broader geographical representation, and interdisciplinary research to support evidence-based policy and the sustainable digital transformation of global agriculture. Full article

Water pollution and its ecological consequences have become central concerns in watershed governance and aquatic ecosystem conservation. Conventional ecotoxicological research on water pollution has long relied on physicochemical monitoring, laboratory-based single-species exposure tests, and morphology-based biological surveys. Although these approaches have provided essential support for pollutant identification, toxicity characterization, and environmental standard setting, they remain insufficient for resolving community-level responses, food-web perturbations, and ecosystem degradation under multiple-stressor conditions. Environmental DNA (eDNA) has emerged as a promising molecular tool because it is non-invasive, highly sensitive, high-throughput, and capable of detecting multiple taxa simultaneously. In aquatic systems, eDNA applications have expanded from biodiversity detection to pollution diagnosis, ecological health assessment, restoration monitoring, and early warning of ecological risk, while increasingly being integrated with eRNA, multi-omics approaches, machine learning, hydrological modeling, and ecological network analysis. However, several challenges still constrain its broader application, including incomplete methodological standardization, false-positive and false-negative detections, insufficient reference databases, limited quantitative capacity, scale mismatches caused by transport and mixing, and difficulties in causal attribution. This review synthesizes recent progress in the use of eDNA for water-pollution research, with emphasis on its technical workflow, major application domains, integrative analytical frameworks, and methodological boundaries. More specifically, three main points are highlighted: (1) eDNA is shifting water-pollution research from single-species toxicity characterization toward community- and ecosystem-level ecological interpretation; (2) its greatest value lies in its integrative role at the interface of biodiversity monitoring, ecological risk assessment, and management-oriented decision support; and (3) future progress will depend on improvements in standardization, quantitative inference, regional reference databases, and multi-source data integration. Overall, this review clarifies how eDNA can contribute to more robust, ecologically meaningful, and management-relevant assessment of water pollution. Full article

Urban noise pollution is considered to be a significant challenge to neighborhood livability, particularly in cities with limited noise governance. This has resulted in raising the environmental noise as a critical health and livability concern. Existing approaches rely on decibel thresholds that fail to capture the spatial, social and perceptual complexity of noise conditions at the neighborhood scale. This study offers a multi-criteria soundscape framework integrating acoustic measurements and urban parameters (urban design, landscape, regulations and perception). The aim is to support the optimal location for noise planning. The framework was applied as a pilot study across five residential neighborhoods in Tripoli, Lebanon. The OpeNoise mobile application was used across four temporal sessions. Recordings were combined with qualitative resident interviews. Average Equivalent Continuous Sound level LAeq(t) values ranged from 60.3 to 76.8 dBA. While all neighborhoods exceeded the World Health Organization WHO guidelines, acoustic severity alone did not determine the best case for intervention. The neighborhood with the highest measured noise did not achieve the highest priority score. This demonstrates that decibel planning is insufficient. The alignment of acoustic severity, feasibility, and community demand is more effective for intervention. The framework’s criteria are based on observable urban indicators, suggesting applicability to similar urban contexts, further pending validation. Full article

Ports are increasingly required to respond to environmental regulation, digital transformation, and demands for more sustainable logistics systems. Although research on smart ports, green ports and innovation ecosystems has expanded, less attention has been given to how Open and Sustainable Innovation is enabled, constrained and institutionalised within public port authorities. This study examines this process in the Port of Sines, Portugal’s largest port and a strategic Atlantic logistics hub. A qualitative single-case study was conducted, drawing on institutional documents, nine semi-structured interviews, observational material and MAXQDA-supported qualitative coding. The analysis was structured around four interdependent dimensions: environmental, organisational, cultural and technological. The findings show that Open and Sustainable Innovation is enabled by European sustainability agendas, digitalisation initiatives, the NEXUS Agenda and multi-stakeholder collaboration. However, it remains only partially institutionalised. Organisational fragmentation, limited learning routines, uneven cultural readiness, data-sharing concerns and dependence on externally funded projects constrain long-term innovation capabilities. The study contributes by conceptualising Open and Sustainable Innovation in public port ecosystems as an institutionalisation process rather than as a set of isolated digital, environmental or collaborative initiatives. It offers practical insights for strengthening governance coordination, stakeholder trust, data-sharing arrangements and organisational learning in sustainable port transformation. Full article

Global growth in electric mobility, portable electronics, and renewable energy storage has increased concerns about the environmental and economic impacts of managing end-of-life lithium-ion and lead-acid batteries. Although these batteries support the transition to renewable energy, their disposal presents significant challenges. Recycling has emerged as a key strategy to reduce resource depletion, limit pollution, and recover valuable materials. This study systematically reviewed and quantitatively synthesised the literature published between 2000 and 2025, assessing the environmental impacts of battery recycling programs. The review followed PRISMA guidelines to ensure a transparent and rigorous study selection process. Data from peer-reviewed articles, industry reports, and policy documents were analysed, focusing on indicators such as greenhouse gas emissions, energy use, material recovery efficiency, and economic returns. Statistical methods, including Hedges’ g, heterogeneity testing, and sensitivity analysis within a random-effects model, were applied to account for variability across technologies and battery types. The results show that recycling generally lowers emissions and improves resource recovery compared to virgin material extraction, though performance varies. Lead-acid recycling demonstrates stronger environmental benefits due to mature technologies and established systems, while lithium-ion recycling shows positive but lower gains, limited by higher energy demands and less-developed processes. Overall, recycling is essential for reducing environmental impacts and supporting a circular economy, though lithium-ion systems require further technological and policy advancements. These findings can be used by governments to strengthen regulatory frameworks to support recycling industries and invest in advanced lithium-ion recycling technologies to improve efficiency. Despite the existing limitations, the benefits of recycling outweigh the drawbacks, making it a necessary strategy for sustainable battery waste management. Full article

The durability of concrete in chemically aggressive environments remains a major concern for marine structures, wastewater systems, industrial facilities, pavements, and foundations exposed to sulfate-bearing soils. Geopolymer concrete has attracted increasing attention as a lower-carbon alternative to ordinary Portland cement concrete because its aluminosilicate-rich reaction products, reduced portlandite content, and adjustable precursor–activator chemistry may enhance resistance to various chemical attack mechanisms. However, its durability is strongly governed by mixture composition and exposure regime, and therefore cannot be generalized across all geopolymer systems. This review provides a systematic and critical synthesis of the chemical attack resistance of geopolymer concrete, focusing on acid, sulfate, chloride, marine, wastewater, and combined aggressive exposures. The effects of precursor chemistry, calcium content, activator composition, curing regime, additives, fibers, aggregate type, recycled materials, and environmental coupling are examined in relation to degradation mechanisms and durability indicators. A PRISMA-informed methodology was used to identify, screen, verify, and synthesize primary experimental and modeling studies. The reviewed evidence indicates that low-calcium and well-polymerized geopolymer systems often exhibit favorable sulfate resistance due to the reduced availability of calcium-bearing phases that form expansive products, whereas chloride resistance is primarily governed by pore refinement, chloride transport, binding capacity, pore–solution alkalinity, and reinforcement corrosion behavior. In contrast, acid resistance remains more variable, depending on acid type, pH, exposure duration, solution renewal, calcium content, and the stability of protective silica-rich layers. Additives and alternative aggregates can enhance durability by refining the pore structure, improving the interfacial transition zone, or controlling cracking, but excessive or incompatible dosages may have adverse effects. Overall, geopolymer concrete offers strong potential for chemically aggressive infrastructure when designed through performance-based criteria and validated under realistic multi-exposure conditions. Full article

Purpose: This paper aims to systematically synthesize academic research published between 2020 and 2025 that investigates environmental, social, and governance (ESG) ratings and scores, with a focus on their methodologies, comparative performance, and impact on firm outcomes. Design/methodology/approach: A systematic literature review (SLR) was conducted using the Lens.org scholarly database. A structured title search retrieved 334 open access journal articles published between 2020 and May 2025 containing the terms “ESG Score”, “ESG Rating”, or “ESG Rater”. The PRISMA 2020 protocol guided the selection and screening process. Findings: The literature exhibits growing concern about the divergence among ESG ratings, the methodological opacity of rating providers, and the variable financial implications of ESG scores. Common themes include score disagreements, rating agency biases, and emerging models for standardizing ESG assessments. Originality: This review provides the most up-to-date synthesis of the ESG rating literature, focusing exclusively on articles explicitly addressing ESG ratings or scores in their titles. It contributes clarity to the fragmented ESG measurement space by organizing findings around key methodological and evaluative debates. Full article

The service sector plays a central role in steering the economic structure toward greener development, and service trade provides an important route for achieving pollution reduction and carbon reduction. Drawing on a city-level panel of 278 Chinese cities from 2011 to 2022, this study uses Staggered DID and Spatial DID models to evaluate the direct and spatial spillover effects of the Service Trade Innovative Development Pilot Policy (STIDPP) on pollution reduction and carbon reduction. The results show that: (1) The STIDPP significantly promotes pollution reduction and carbon reduction, and this finding remains robust after placebo tests, PSM-DID estimation, checks addressing heterogeneous treatment effects, and controls for other policy shocks. (2) The mechanism analysis shows that the STIDPP mainly promotes pollution reduction and carbon reduction through industrial structure upgrading, green technological innovation, environmental governance investment, and public environmental concern. (3) The positive effects of the STIDPP are more pronounced in cities with higher levels of economic development, larger city size, and service-oriented industrial structures, but its promoting effect on carbon-reduction efficiency is relatively weaker in regions with stronger environmental regulation. (4) The STIDPP generates significant spatial spillover effects on pollution reduction and carbon reduction. As geographic distance increases, these effects shift from negative to positive and eventually become statistically insignificant. This study extends the research on the environmental effects of service trade and provides theoretical support and practical guidance for developing a green service trade system and enhancing the synergy between pollution reduction and carbon reduction. Full article

Synthetic dyes from textile effluents represent a major environmental concern due to their persistence and toxicity. Reactive Black 5 (RB5) is widely used in the textile industry and is commonly applied as a model azo compound in sorption studies. This study comparatively evaluates the sorption performance of raw and carbonized sorbents derived from industrial hemp (Cannabis sativa L.) biowaste using an integrated experimental and theoretical approach. The sorbents were prepared through washing, drying, and phosphoric acid-assisted carbonization followed by pyrolysis. Structural and physicochemical properties were characterized using elemental analysis, FTIR spectroscopy, and SEM microscopy. Sorption performance toward RB5 was investigated through batch kinetic and equilibrium experiments, supported by kinetic (pseudo-first-order, pseudo-second-order, Elovich, and intraparticle diffusion models) and isotherm (Langmuir, Freundlich, and Temkin) modeling. Molecular docking simulations were performed to provide mechanistic insight into dye–sorbent interactions. Both materials exhibited rapid sorption kinetics, reaching equilibrium within approximately 45 min, with the pseudo-second-order model suggesting that surface-controlled interactions dominate the sorption rate. Molecular modeling, based on extensive conformational sampling, indicated a strong binding affinity between RB5 and cellulose-based structures, primarily associated with hydrogen bonding and other favorable noncovalent interactions. In contrast, graphene-based models revealed sorption governed by π–π interactions and confinement effects, supporting the experimentally observed differences between raw and carbonized sorbents. Full article

Freshwater is essential for sustaining the health of humans, animals, and ecosystems; however, agricultural activities remain a major source of water pollution globally. This review examines how crop production, livestock farming, and aquaculture contribute to water contamination, the effectiveness of current European policies, and the potential of sustainable mitigation strategies. Evidence from the research identified pesticides, herbicides, veterinary antibiotics, nutrient runoff, aquaculture effluents, and microplastics as the primary agricultural pollutants affecting surface and groundwater quality. These contaminants have been linked to ecosystem degradation, biodiversity loss, endocrine disruption, antimicrobial resistance, and adverse human health outcomes. Despite extensive regulatory frameworks, including the Water Framework Directive, Nitrates Directive, Farm to Fork Strategy, and European Green Deal, significant implementation and monitoring challenges remain. Current evidence indicates that only 40% of European surface waters achieve “good” ecological status, highlighting persistent water quality concerns across the region. The review further identified precision irrigation, Internet of Things (IoT)-enabled monitoring, biopesticides, hydroponic systems, and integrated multi-trophic aquaculture as promising solutions for reducing agricultural impacts on water resources. However, barriers, including high implementation costs, technological limitations, and inconsistent policy enforcement, continue to hinder widespread adoption. Overall, the findings demonstrate that while existing policies have improved water governance, stronger regulatory enforcement, greater investment in sustainable technologies, and increased adoption of nature-based solutions are required to reduce agricultural water pollution. An integrated approach combining technological innovation, policy support, and sustainable farming practices is essential to protect freshwater resources and ensure long-term environmental sustainability. Full article

This study investigates the relationship between Environmental, Social, and Governance (ESG) ratings and firm financial performance across a comprehensive global sample of over 10,000 companies from more than 80 countries observed in 2015–2022. Using panel data analysis, we examine how overall ESG scores and their components affect the Return on Assets (ROA), Return on Equity (ROE), and Weighted Average Cost of Capital (WACC). We employ several econometric approaches designed for panel data, including the univariate approaches; static (Pooled OLS; Fixed Effects) and a multivariate approach (Panel Vector Autoregression; PVAR) to address potential endogeneity concerns and provide robust findings. Our results revealed a complex relationship between ESG performance and financial outcomes. While OLS models generally show positive associations between ESG scores and profitability measures, Fixed Effects models indicate some negative relationships, suggesting that unobserved firm-specific factors are crucial. PVAR results highlight important dynamic interactions between ESG performance and financial metrics over time. These findings contribute to stakeholder theory by demonstrating that the financial implications of ESG performance are contingent on methodological approaches, time horizons, and specific contexts. Our research has important implications for corporate managers, investors, and policymakers seeking to understand the financial consequences of sustainability practices. Full article

Urban ecological resilience (UER) has become a central concern in rapidly urbanizing regions where development pressures increasingly interact with ecological constraints. Focusing on the Guanzhong Plain Urban Agglomeration (GPUA), a semi-arid urban agglomeration in western China, this study examines the non-static and locally heterogeneous drivers of UER across 11 prefecture-level cities from 2000 to 2023. UER is measured through resistance, adaptability, and recovery. An extended STIRPAT model, Elastic Net with stability selection, two-way fixed-effects period interactions, and Geographically and Temporally Weighted Regression (GTWR) are integrated to identify robust drivers, test post-2011 shifts, and estimate city-year local associations. Residual Moran’s I diagnostics and Spatial Lag GTWR (SLM-GTWR) are used as supplementary checks. The results show that UER remains relatively stable at the aggregate regional level but becomes increasingly divergent across cities. Ten robust drivers are retained, with fiscal investment intensity, human capital, medical and health level, and total energy consumption emerging as key variables. Period heterogeneity results indicate that fiscal investment becomes more favorably associated with UER after 2011, while the marginal association of energy consumption weakens. GTWR reveals clear local heterogeneity: human capital shows the most stable positive association, medical and health level remains generally negative, fiscal investment is positive but context-dependent, and energy consumption is predominantly negative but locally differentiated. Supplementary spatial diagnostics suggest that the GTWR specification captures the main spatiotemporal structure of UER, while spatial-lag checks broadly support the robustness of the local coefficient patterns, although estimates of spatial interaction remain sensitive to how inter-city linkages are defined. These findings indicate that UER drivers are dynamic rather than fixed, with resilience formation shaped mainly by governance-regime shifts and localized heterogeneity. The study contributes a sequential screening–heterogeneity framework for identifying non-static resilience drivers and suggests that resilience governance should combine stage-sensitive policy adjustment, place-based intervention, and regional coordination where ecological functions and environmental risks cross administrative boundaries. Full article

Climate action is an alarming issue, and the world is concerned about sustainable solutions. Governance quality, financial technology and advanced-resource endowments have a pivotal role in climate action, yet the literature lacks evidence on their linkages with carbon emissions. The present study covers this gap in the literature for the Gulf Cooperation Council countries, as they offer an ideal study setting given their extreme vulnerability to climate change, their reliance on fossil fuels, the strong efforts to address climate change issues, and their prioritization of transforming the financial sector through financial technology as a means of resolving climate issues. Results show that governance quality and financial technology curb carbon emissions. Specifically, financial technology reduces CO₂ emissions by approximately 36.4% in the FMOLS estimation, while governance quality contributes negatively and significantly to CO₂ emissions across most specifications. Further, the interaction term of financial technology and advanced-resource endowments is statistically significant with a negative coefficient, hereby providing a supportive role in reducing CO₂ emissions. Hence, advanced-resource endowments play a moderating role, transforming the effectiveness of financial technology in reducing carbon emissions. The findings are robust for quantile regressions and alternative measures of environmental degradation and have strong policy implications for the Gulf Cooperation Council countries. Full article

The application of artificial intelligence (AI) and the improvement of environmental, social, and governance (ESG) performance have become important concerns for contemporary firms. Understanding whether AI can be effectively integrated into corporate ESG practices has significant implications for sustainable development. Using panel data from Chinese A-share listed firms from 2009 to 2025, this study empirically examines the effect of AI application on corporate ESG performance through a fixed-effects model. The results show that AI application significantly improves corporate ESG performance, indicating that firms with higher levels of AI adoption tend to achieve better ESG outcomes. The heterogeneity analysis further reveals that this effect varies according to firms’ technological intensity, industry pollution characteristics, and the strength of regional environmental regulation. Specifically, the positive effect of AI application is more pronounced among firms with lower technological intensity, firms operating in non-heavily polluting industries, and firms located in regions with stricter environmental regulation. The mediation analysis shows that AI application enhances ESG performance by promoting human capital upgrading and green technological innovation, thereby strengthening firms’ internal capabilities and technological foundations for sustainable development. This study contributes to the literature by integrating AI application and ESG-oriented sustainable development within a unified analytical framework. Full article