Sustainability

23 pages, 1368 KB

Open AccessArticle

Drivers of AI–Sustainability: The Roles of Financial Wealth, Human Capital, and Renewable Energy

by Guangpeng Chen and Anthony David

Sustainability 2025, 17(21), 9920; https://doi.org/10.3390/su17219920 - 6 Nov 2025

Viewed by 663

Artificial Intelligence (AI) is increasingly central to sustainable development, yet its advancement varies across G7 economies. This study employs Method of Moments Quantile Regression (MMQR) to examine how Financial Technology (FinTech), Economic Growth (EG), Human Capital (HC), and Renewable Energy Consumption (RENC) influence [...] Read more.

Artificial Intelligence (AI) is increasingly central to sustainable development, yet its advancement varies across G7 economies. This study employs Method of Moments Quantile Regression (MMQR) to examine how Financial Technology (FinTech), Economic Growth (EG), Human Capital (HC), and Renewable Energy Consumption (RENC) influence AI development in G7 countries from 2000 to 2022. By analyzing heterogeneous effects across quantiles, the study captures stage-specific drivers often overlooked in average-based models. Results indicate that FinTech and human capital significantly promote AI adoption in lower and middle quantiles, enhancing digital inclusion and innovation capacity, while RENC becomes relevant primarily at advanced stages of AI adoption. Economic growth exhibits negative or inconsistent effects, suggesting that GDP expansion alone is insufficient for technological transformation without alignment to supportive policies and institutional contexts. The lack of long-run cointegration further highlights the dominance of short- and medium-term dynamics in shaping the AI–sustainability nexus. These findings provide actionable insights for policymakers, emphasizing targeted FinTech development, skill-building initiatives, and renewable-powered AI solutions to foster sustainable and inclusive AI adoption. Overall, the study demonstrates how financial, human, and environmental factors jointly drive AI development, offering a mechanism-based perspective on technology-driven sustainable development in advanced economies. Full article

(This article belongs to the Special Issue AI for Sustainable Development: Applications and Impacts across Industries)

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45 pages, 6806 KB

Open AccessArticle

Sustainable Soil Stabilisation Using Water Treatment Sludge: Experimental Evaluation and Metaheuristic-Based Genetic Programming

by Bidur Kafle and Abolfazl Baghbani

Sustainability 2025, 17(21), 9919; https://doi.org/10.3390/su17219919 - 6 Nov 2025

Cited by 1 | Viewed by 489

Abstract

Recycling water treatment sludge (WTS) offers a sustainable solution to reduce environmental waste and enhance soil stabilisation in geotechnical applications. This study investigates the mechanical performance of soil-sludge-cement-lime mixtures through an extensive experimental program and focuses on compaction characteristics and California Bearing Ratio [...] Read more.

Recycling water treatment sludge (WTS) offers a sustainable solution to reduce environmental waste and enhance soil stabilisation in geotechnical applications. This study investigates the mechanical performance of soil-sludge-cement-lime mixtures through an extensive experimental program and focuses on compaction characteristics and California Bearing Ratio (CBR) values. Mixtures containing 40% soil, 50% sludge, and 10% lime achieved a CBR value of 58.7% and represented a 550% increase compared to untreated soil. Additionally, advanced predictive modelling using symbolic metaheuristic-based genetic programming (GP) techniques, including the Dingo Optimisation Algorithm (DOA), Osprey Optimisation Algorithm (OOA), and Rime-Ice Optimisation Algorithm (RIME), demonstrated exceptional accuracy in predicting CBR values. The GP-RIME model achieved an R² of 0.991 and a mean absolute error (MAE) of 1.02 in predicting CBR values, significantly outperforming traditional regression methods. Four formulas are proposed to predict CBR values. This research highlights the dual benefits of sustainable WTS recycling and advanced modelling techniques, providing scalable solutions for environmentally friendly infrastructure development. This research aligns with global sustainability goals by valorising waste streams from water treatment plants. The reuse of sludge not only reduces landfill disposal but also lowers demand for energy-intensive binders, contributing to circular economy practice and sustainable infrastructure development. Full article

(This article belongs to the Special Issue Environmental Protection and Sustainable Ecological Engineering)

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12 pages, 1015 KB

Open AccessCommunication

Indigenous Lands Turned into Soy Farms Pose Threats to Sustainability in Brazil

by Felipe Kamaroski and Juliano Morimoto

Sustainability 2025, 17(21), 9918; https://doi.org/10.3390/su17219918 - 6 Nov 2025

Viewed by 839

Abstract

Urban areas are growing, often at the expense of native ecosystems. As a result, indigenous lands (ILs) have become critical refuges for biodiversity, essential for sustainability and sit at the intersection of cultural, economic, and environmental interests. ILs play a double role in [...] Read more.

Urban areas are growing, often at the expense of native ecosystems. As a result, indigenous lands (ILs) have become critical refuges for biodiversity, essential for sustainability and sit at the intersection of cultural, economic, and environmental interests. ILs play a double role in this context: they protect native biodiversity but are often framed as barriers to economic growth. In Brazil, nearly 14% of the territory is demarcated as ILs. This has led to conflicts with Brazil’s agricultural sector, particularly in the southernmost states, where agribusiness drives the economy. We hypothesize that this conflict leads to agricultural encroachment of ILs, which might become extension of farms, compromising their sustainability. We analyzed two decades of public data on soy coverage within ILs in Brazil’s southernmost states (Paraná, Santa Catarina, and Rio Grande do Sul) and found that soy cultivation in ILs increased by over 116% in the last two decades, peaking in 2019 at 177% above the 2001 baseline. We argue that ILs urgently need a framework that enables the communities therein to benefit from income originating from land lease, while ensuring that encroachment is limited and does not pose threats to native biodiversity. This can be challenging due to growing political pressure to weaken socioenvironmental protection and ILs’ demarcation but is nevertheless essential for the sustainable coexistence of urban areas, farms, and ILs. Full article

(This article belongs to the Special Issue Urban Planning and Sustainable Land Use—2nd Edition)

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Graphical abstract

17 pages, 551 KB

Open AccessArticle

Prioritizing Sustainable Marketing Innovation for Pharmaceutical Firms in Indonesia

by Zuldekra, Rokhani Hasbullah, Zenal Asikin and Tanti Novianti

Sustainability 2025, 17(21), 9917; https://doi.org/10.3390/su17219917 - 6 Nov 2025

Viewed by 462

Abstract

The Indonesian pharmaceutical industry faces increasing pressure to achieve sustainable performance amid regulatory constraints and evolving healthcare demands. This study aims to identify and prioritize strategic dimensions of sustainable marketing innovation using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). Expert judgments were collected [...] Read more.

The Indonesian pharmaceutical industry faces increasing pressure to achieve sustainable performance amid regulatory constraints and evolving healthcare demands. This study aims to identify and prioritize strategic dimensions of sustainable marketing innovation using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). Expert judgments were collected from eight senior professionals across academia, industry, and government through structured online questionnaires and digital interviews. Six innovation dimensions (product, process, organization, price, promotion, and distribution) were evaluated. The analysis produced normalized priority weights, revealing that promotion (0.2384) and process (0.2253) innovations ranked highest, followed by product (0.1790) and price (0.1699), while distribution (0.1202) and organization (0.0672) held lower importance. These results highlight the critical role of ethical promotion, digital engagement, and operational excellence in strengthening competitive and sustainable market performance. A sensitivity analysis confirmed the stability of these rankings across varying fuzzification scales. By integrating the Resource-Based View (RBV) with Fuzzy AHP, this study contributes a reproducible framework for transforming expert knowledge into strategic priorities under uncertainty. The findings offer practical guidance for pharmaceutical firms to allocate innovation resources more effectively and enhance long-term sustainability. Full article

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30 pages, 2688 KB

Open AccessArticle

Practice Primacy: Revisiting the Knowledge–Action Gap in Pro-Environmental Behavior with eXplainable AI

by Xun Yang, Shensheng Chen, Tingting Liu, Junjie Luo and Yuzhen Tang

Sustainability 2025, 17(21), 9916; https://doi.org/10.3390/su17219916 - 6 Nov 2025

Viewed by 699

Abstract

Against the backdrop of an escalating global environmental crisis, bridging the “knowledge–action gap” in the pro-environmental behavior (PEB) of university students has become a key challenge for sustainable development education, aligning with SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action). [...] Read more.

Against the backdrop of an escalating global environmental crisis, bridging the “knowledge–action gap” in the pro-environmental behavior (PEB) of university students has become a key challenge for sustainable development education, aligning with SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action). Traditional linear models often struggle to capture the complex non-linearities and interaction effects when explaining this gap. To overcome this limitation, this study introduces an integrated “prediction-plus-explanation” framework using eXplainable Artificial Intelligence (XAI). Based on survey data from 463 university students in China, we constructed a high-precision PEB prediction model (Accuracy = 93.55%) using the CatBoost algorithm and conducted an in-depth analysis of its internal decision-making mechanisms with the SHAP (SHapley Additive exPlanations) framework. The results reveal that a “Practice Primacy” model plays a dominant role in driving PEB: the formation of environmental habits, participation in environmental practices, and the investment of related resources are the overwhelmingly dominant factors in predicting individual behavior, with their cumulative contribution far exceeding that of traditional cognitive and attitudinal variables. Furthermore, heterogeneity analysis revealed significant group differences in these driving mechanisms: the behavioral decisions of male students tend to be more “value-driven,” while lower-division students are more susceptible to external educational interventions. By quantifying the non-linear effects and relative importance of each driver, this study offers a new “Action-to-Cognition” perspective for bridging the knowledge–action gap and provides robust, data-driven support for universities to design precise and differentiated intervention strategies, thus contributing to the achievement of SDGs. Full article

(This article belongs to the Special Issue A Quantitative Analysis and Interdisciplinary Approach to the Sustainable Development Goals)

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26 pages, 1142 KB

Open AccessArticle

The Inverted U-Shaped Effect of Environmental Taxation on Green Innovation: The Roles of Corporate Environmental Responsibility and Green Finance

by Qi Zhang, Liangqun Qi and Lawrence Loh

Sustainability 2025, 17(21), 9915; https://doi.org/10.3390/su17219915 - 6 Nov 2025

Viewed by 702

Abstract

Implementing environmental protection taxes implies a shift in environmental policy from government enforcement to market incentives, fostering long-term sustainability. Based on institutional theory, this study explores the nonlinear impact of environmental taxes on corporate green innovation and its influencing mechanism, by considering the [...] Read more.

Implementing environmental protection taxes implies a shift in environmental policy from government enforcement to market incentives, fostering long-term sustainability. Based on institutional theory, this study explores the nonlinear impact of environmental taxes on corporate green innovation and its influencing mechanism, by considering the complex interaction between innovation offsets and environmental costs. Utilizing data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges during 2012 and 2023, the study reveals an inverse U-shaped relationship between environmental taxes and green innovation performance, within which corporate environmental responsibility functions as a mediator. Furthermore, the results also reveal that the relationship between environmental taxes and green innovation is positively moderated by the development level of regional green finance. In addition, the heterogeneity analyses show that the inverse U-shaped relationship is more pronounced among heavily polluting and large-scale firms, and firms in more marketized areas and areas with higher levels of intellectual property protection. The research enriches the literature on the dual-edged effects of environmental taxes anchored in green innovation and unpacks the internal mechanism of the effectiveness of environmental protection tax policy. It also provides practical implications for the design of tiered taxes and green finance policies aimed at achieving sustainable development. Full article

(This article belongs to the Special Issue Innovation Management, Competition Strategies and Corporate Sustainability—2nd Edition)

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43 pages, 4264 KB

Open AccessArticle

Generative AI Integration: Key Drivers and Factors Enhancing Productivity of Engineering Faculty and Students for Sustainable Education

by Humaid Al Naqbi, Zied Bahroun and Vian Ahmed

Sustainability 2025, 17(21), 9914; https://doi.org/10.3390/su17219914 - 6 Nov 2025

Cited by 1 | Viewed by 819

Abstract

Generative Artificial Intelligence (GAI) technologies are revolutionizing productivity and creativity across educational and engineering contexts. This study addresses a critical gap by examining the key factors influencing the successful integration of GAI tools to enhance faculty and student productivity, with a focus on [...] Read more.

Generative Artificial Intelligence (GAI) technologies are revolutionizing productivity and creativity across educational and engineering contexts. This study addresses a critical gap by examining the key factors influencing the successful integration of GAI tools to enhance faculty and student productivity, with a focus on higher education and its role in advancing sustainable development. Specifically, it investigates challenges, opportunities, and essential conditions for effective GAI adoption that support not only academic excellence but also the preparation of engineers capable of addressing global sustainability challenges in line with the United Nations Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 12 (Responsible Consumption and Production). A preliminary literature review identified significant factors requiring attention, further refined through interviews with 14 students and 13 faculty members, and expanded upon via a survey involving 54 students and 42 faculty members. Participants rated the significance of various factors on a five-point Likert scale, allowing for the calculation of the Relative Importance Index (RII). The findings reveal that while compliance with ethical standards and bias mitigation emerged as the most significant concerns, mid-level considerations such as institutional support, training, and explainability are critical for fostering GAI adoption in sustainable learning environments. Foundational elements, including robust technical infrastructure, data security, and scalability, are vital for long-term success and alignment with responsible and sustainable innovation. Notably, this study highlights a divergence in perspectives between faculty and students regarding GAI’s impact on productivity, with faculty emphasizing ethical considerations and students focusing on efficiency gains. This study offers a comprehensive set of considerations and insights for guiding GAI integration in educational and engineering settings. It emphasizes the need for multidisciplinary collaboration, continuous training, and strong governance to balance innovation, responsibility, and sustainability. The findings advance theoretical understanding and provide practical insights for academia, policymakers, and technology developers aiming to harness GAI’s full potential in fostering sustainable engineering education and development. Full article

(This article belongs to the Special Issue Advances in Engineering Education and Sustainable Development)

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26 pages, 1164 KB

Open AccessReview

Lignin Valorization from Lignocellulosic Biomass: Extraction, Depolymerization, and Applications in the Circular Bioeconomy

by Tomas Makaveckas, Aušra Šimonėlienė and Vilma Šipailaitė-Ramoškienė

Sustainability 2025, 17(21), 9913; https://doi.org/10.3390/su17219913 - 6 Nov 2025

Viewed by 1142

Abstract

Lignocellulosic biomass—the non-edible fraction of plants composed of cellulose, hemicellulose, and lignin—is the most abundant renewable carbon resource and a key lever for shifting from fossil to bio-based production. Agro-industrial residues (straws, cobs, shells, bagasse, brewery spent grains, etc.) offer low-cost, widely available [...] Read more.

Lignocellulosic biomass—the non-edible fraction of plants composed of cellulose, hemicellulose, and lignin—is the most abundant renewable carbon resource and a key lever for shifting from fossil to bio-based production. Agro-industrial residues (straws, cobs, shells, bagasse, brewery spent grains, etc.) offer low-cost, widely available feedstocks but are difficult to process because their polymers form a tightly integrated, three-dimensional matrix. Within this matrix, lignin provides rigidity, hydrophobicity, and defense, yet its heterogeneity and recalcitrance impede saccharification and upgrading. Today, most technical lignin from pulping and emerging biorefineries is burned for energy, despite growing opportunities to valorize it directly as a macromolecule (e.g., adhesives, foams, carbon precursors, UV/antioxidant additives) or via depolymerization to low-molecular-weight aromatics for fuels and chemicals. Extraction route and severity strongly condition lignin structure linkages (coumaryl-, coniferyl-, and sinapyl-alcohol ratios), determining reactivity, solubility, and product selectivity. Advances in selective fractionation, reductive/oxidative catalysis, and hybrid chemo-biological routes are improving yields while limiting condensation. Remaining barriers include feedstock variability, solvent and catalyst recovery, hydrogen and energy intensity, and market adoption (e.g., low-emission adhesives). Elevating lignin from fuel to product within integrated biorefineries can unlock significant environmental and economic benefits. Full article

(This article belongs to the Section Sustainable Materials)

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24 pages, 9791 KB

Open AccessArticle

Assessment of Ventilation Control Methods for Energy Efficiency and Indoor Climate Stability: A Case Study of a Zoo Exhibition Room

by Sylwia Szczęśniak, Michał Karpuk and Juliusz Walaszczyk

Sustainability 2025, 17(21), 9912; https://doi.org/10.3390/su17219912 - 6 Nov 2025

Viewed by 460

Abstract

This study evaluates indoor thermal comfort and the energy performance of HVAC control strategies in the Congo Zone of a zoological facility located in Poland. The main objective in this zone is to maintain adequate relative humidity, which is more critical for plants [...] Read more.

This study evaluates indoor thermal comfort and the energy performance of HVAC control strategies in the Congo Zone of a zoological facility located in Poland. The main objective in this zone is to maintain adequate relative humidity, which is more critical for plants and animals than the indoor air temperature range. Long-term measurements were carried out to determine the variation of air system heat transfer as a function of outdoor air temperature. To determine the energy demand for heating, cooling, and air transport, eight control algorithms were analysed, each differing in a single detail but potentially affecting overall energy use and thermal comfort. The algorithms combined the following features: maintaining a constant supply or indoor air temperature; operating with a constant or modulated recirculation damper position; maintaining a constant or variable airflow (CAV or VAV); operating within the normal setpoint range or with an extended range of 1 °C; controlling temperature only or both temperature and humidity; and utilising or not utilising free cooling. The control algorithm operating in the facility maintained indoor humidity within acceptable limits for 98% of the year but failed to meet temperature requirements for 28% of the time. Refined strategies achieved energy savings of up to 74% in fan power and 80% in cooling demand, though often at the cost of reduced humidity control. Full article

(This article belongs to the Special Issue Advances in the Sustainability of the Built Environment, Green Energy, and Building Energy Performance)

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31 pages, 6121 KB

Open AccessArticle

Will Automated Vehicles Drive You to Move? Exploring and Predicting the Impact of AV Technology on Residential Relocation

by Song Wang, Xin Tian, Zhixia Li, Shang Jiang, Wenjing Zhao, Shiyao Zhang, Hao (Frank) Yang and Guohui Zhang

Sustainability 2025, 17(21), 9911; https://doi.org/10.3390/su17219911 - 6 Nov 2025

Viewed by 308

Abstract

Automated vehicle (AV) technology is expected to alter travel behavior and residential location choices, yet the psychological motivations behind relocation decisions under current partial automation (Level 2) remain underexplored, as most studies focus on fully autonomous scenarios. This study explores why individuals might [...] Read more.

Automated vehicle (AV) technology is expected to alter travel behavior and residential location choices, yet the psychological motivations behind relocation decisions under current partial automation (Level 2) remain underexplored, as most studies focus on fully autonomous scenarios. This study explores why individuals might relocate in response to AV availability in both short-term and long-term contexts and predicts how willingness to relocate changes as automation levels advance. In a survey of Kentucky residents, data were collected on demographic and economic characteristics, travel needs, built environment attributes, AV familiarity, comfort with different automation levels, and willingness to relocate if AVs were available. Multiple machine learning models with Shapley Additive Explanations (SHAP) were used to predict and interpret changes in relocation willingness. Results indicate that greater comfort with high-level automation and higher AV familiarity increase relocation intentions, particularly among men, older adults with higher incomes, and urban residents. SHAP analysis reveals that built environment, age, and comfort with fully autonomous driving are the most influential predictors of changes in relocation willingness. Findings inform land use and housing policy by identifying where perception-driven relocation pressures are likely to emerge and by outlining adaptive tools to guide spatial growth as AV technology advances. Full article

(This article belongs to the Special Issue Sustainable and Smart Transportation Systems)

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24 pages, 10455 KB

Open AccessArticle

Simulation-Integrated Climate-Adaptive Pedestrian Design Explorations for Summer Thermal Comfort: The Case of Culturally Diversified Green Way Project in Seoul, South Korea

by Gawon Bae, Eujin Julia Kim and Kwangmin Ham

Sustainability 2025, 17(21), 9910; https://doi.org/10.3390/su17219910 - 6 Nov 2025

Viewed by 652

Abstract

This study investigates the effectiveness of climate-adaptive pedestrian design through greening strategies by integrating microclimate simulations in central Seoul. Utilizing ENVI-met 5.0, five pedestrian street typologies along the “Cultural Complex Axis” in central Seoul were analyzed for their thermal environments before and after [...] Read more.

This study investigates the effectiveness of climate-adaptive pedestrian design through greening strategies by integrating microclimate simulations in central Seoul. Utilizing ENVI-met 5.0, five pedestrian street typologies along the “Cultural Complex Axis” in central Seoul were analyzed for their thermal environments before and after greening interventions. Results indicate that pedestrian greening improves thermal comfort across all sites, though cooling effects vary significantly with site-specific urban morphology and microclimatic factors such as wind flow. Notably, Hyehwa-ro exhibited the greatest reduction in Physiological Equivalent Temperature (PET) despite a modest increase in greenery, underscoring that cooling efficiency depends on more than vegetation quantity alone. Conversely, Jangchungdan-ro, with greater green coverage, observed diminished thermal improvements, which were mainly attributed to reduced wind velocity. The findings emphasize the need for context-sensitive, tailored greening approaches that particularly emphasize securing wind corridors and avoiding dense planting in narrow urban canyons to maximize cooling impacts. This study contributes by providing insights into both the research process and its outcomes through the exploration of thermal comfort simulations applied to a practical pedestrian renovation case. Full article

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17 pages, 614 KB

Open AccessArticle

Investigating the Effect of Talent Management Practices on Sustainable Competitive Advantage in Private-Sector Organizations

by Razaz Waheeb Attar, Amal Alanazi and Amal Hassan Alhazmi

Sustainability 2025, 17(21), 9909; https://doi.org/10.3390/su17219909 - 6 Nov 2025

Viewed by 843

Abstract

Talent management is an important strategic tool to improve sustainable organization performance and competitiveness in the contemporary business environment. Even though there are increasingly more studies around this topic in the world, studies in the context of Saudi Arabia, and more specifically in [...] Read more.

Talent management is an important strategic tool to improve sustainable organization performance and competitiveness in the contemporary business environment. Even though there are increasingly more studies around this topic in the world, studies in the context of Saudi Arabia, and more specifically in the private sector, are still scarce, forming the research gap that this study aims to fill. The study is designed to explore the effect of human resource practices on employee innovation, organization resilience, and sustainable competitive advantage in the Saudi private-sector organizations based on the Resource-Based Variability (RBV) theory as a theoretical perspective. Data were gathered from 366 structured questionnaires, and the hypotheses were tested by employing the relevant statistical tools. The results supported the first hypothesis (H1), showing that there is a positive influence of the practices of talent management on the innovation of the employees, and the second hypothesis (H2) showing the correlation between these practices and organizational resilience. The third hypothesis (H3) showed that talent management practices are significant in the attainment of a sustainable competitive advantage. The findings affirm that the adoption of sound approaches for the attraction, development, and retention of talent has a part in the consolidation of innovation, resilience, and the accomplishment of competitive advantage. The most important theoretical and applied implications of the study are discussed at the end, along with the limitations of the study and suggestions for future research. Full article

(This article belongs to the Special Issue Advancing Management Practices Through Digital Marketing and Sustainable Innovation)

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23 pages, 3719 KB

Open AccessArticle

Balancing Forecast Accuracy and Emissions for Hourly Wind Power at Dumat Al-Jandal: Sustainable AI for Zero-Carbon Transitions

by Haytham Elmousalami, Felix Kin Peng Hui and Aljawharah A. Alnaser

Sustainability 2025, 17(21), 9908; https://doi.org/10.3390/su17219908 - 6 Nov 2025

Viewed by 796

Abstract

This paper develops a Sustainable Artificial Intelligence-Driven Wind Power Forecasting System (SAI-WPFS) to enhance the integration of renewable energy while minimizing the environmental footprint of deep learning computations. Although deep learning models such as CNN, LSTM, and GRU have achieved high accuracy in [...] Read more.

This paper develops a Sustainable Artificial Intelligence-Driven Wind Power Forecasting System (SAI-WPFS) to enhance the integration of renewable energy while minimizing the environmental footprint of deep learning computations. Although deep learning models such as CNN, LSTM, and GRU have achieved high accuracy in wind power forecasting, existing research rarely considers the computational energy cost and associated carbon emissions, creating a gap between predictive performance and sustainability objectives. Moreover, limited studies have addressed the need for a balanced framework that jointly evaluates forecast precision and eco-efficiency in the context of large-scale renewable deployment. Using real-time data from the Dumat Al-Jandal Wind Farm, Saudi Arabia’s first utility-scale wind project, this study evaluates multiple deep learning architectures, including CNN-LSTM-AM and GRU, under a dual assessment framework combining accuracy metrics (MAE, RMSE, R²) and carbon efficiency indicators (CO₂ emissions per computational hour). Results show that the CNN-LSTM-AM model achieves the highest forecasting accuracy (MAE = 29.37, RMSE = 144.99, R² = 0.74), while the GRU model offers the best trade-off between performance and emissions (320 g CO₂/h). These findings demonstrate the feasibility of integrating sustainable AI into wind energy forecasting, aligning technical innovation with Saudi Vision 2030 goals for zero-carbon cities and carbon-efficient energy systems. Full article

(This article belongs to the Special Issue Sustainable Energy Systems and Applications)

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25 pages, 1614 KB

Open AccessArticle

Sustainability and Circularity in Electrical Installations: Insights from Belgian Construction Professionals

by Asma Salimi Sofla and Chiara Piccardo

Sustainability 2025, 17(21), 9907; https://doi.org/10.3390/su17219907 - 6 Nov 2025

Viewed by 372

Abstract

Electrical and electronic installations (EEIs) are essential to modern building functionality, yet they remain insufficiently addressed in circular economy (CE) strategies and sustainability frameworks. This study examines how CE principles are understood and applied to EEI in the Flemish construction sector, utilising a [...] Read more.

Electrical and electronic installations (EEIs) are essential to modern building functionality, yet they remain insufficiently addressed in circular economy (CE) strategies and sustainability frameworks. This study examines how CE principles are understood and applied to EEI in the Flemish construction sector, utilising a national survey of 32 professionals and, among them, five expert interviews. Results confirm that energy-efficient technologies, such as LED lighting and the integration of renewable energy, are widely adopted. In contrast, circular practices, including reuse, modularity, and design for disassembly, remain relatively rare. Respondents acknowledged the importance of lifecycle thinking but reported limited access to practical tools, clear guidelines, and market or regulatory incentives to support its implementation. Circular business models, such as leasing and take-back schemes, are recognised in theory but not widely adopted in practice. At the same time, stakeholder engagement often occurs too late to influence circular outcomes. Overall, the findings suggest that strengthening interdisciplinary cooperation, improving knowledge exchange, and defining clearer project requirements could help translate circular principles into everyday professional practice. This study provides an initial evidence base for improving professional awareness and integrating circular principles into EEI design and procurement, contributing to more circular and sustainable EEI within the construction sector. Full article

(This article belongs to the Section Sustainable Engineering and Science)

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18 pages, 1801 KB

Open AccessArticle

Ecological Outcomes and Societal Transformation: Multiple Visions for Adaptation in the Great Barrier Reef

by Gillian Paxton, Stewart Lockie, Rana Dadpour, Henry A. Bartelet and Bruce Taylor

Sustainability 2025, 17(21), 9906; https://doi.org/10.3390/su17219906 - 6 Nov 2025

Viewed by 504

Abstract

Fears regarding the future of coral reefs are reflected in a growing scientific effort, worldwide, to help corals survive and adapt to the impacts of climate change through new management strategies. To be viable, these strategies must not only be ecologically beneficial and [...] Read more.

Fears regarding the future of coral reefs are reflected in a growing scientific effort, worldwide, to help corals survive and adapt to the impacts of climate change through new management strategies. To be viable, these strategies must not only be ecologically beneficial and technically feasible; they must be developed in partnership with Indigenous peoples and sensitive to the needs and aspirations of local communities, stakeholders and broader publics. This paper synthesizes insights from a comprehensive program of qualitative and quantitative social research, conducted through Australia’s Reef Restoration and Adaptation Program, exploring local community and public perspectives on the Great Barrier Reef (GBR) and the prospect of assisted adaptation. While the results of this research indicate strong support for prospective interventions to help the GBR, they also demonstrate that local communities and the broader Australian public hold multiple visions for the GBR’s future and engage in careful processes to imagine and evaluate assisted adaptation. We discuss the implications of this complexity for the development of technically robust and socially responsible adaptation intervention in the GBR, emphasizing the opportunities it presents for robust and inclusive dialogue, knowledge building, and governance around these strategies. Community and public support, we conclude, is contingent on moving beyond the seemingly straightforward question of whether or not people support intervention and towards forms of engagement that allow space for social and cultural diversity and the co-creation of ethically grounded adaptation pathways. Full article

(This article belongs to the Special Issue New Science and Management Approaches to Support Coral Reefs in a Time of Rapid Climate Change)

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24 pages, 1097 KB

Open AccessArticle

Multicriteria Optimization of Nanocellulose-Reinforced Polyvinyl Alcohol and Pyrrolidone Hydrogels

by Nuno Costa, João Lourenço, Joana Cabalú, Ana Branco and Célio G. Figueiredo-Pina

Sustainability 2025, 17(21), 9905; https://doi.org/10.3390/su17219905 - 6 Nov 2025

Viewed by 327

Abstract

Developing new materials for human cartilage replacement is a hot research topic. These materials have multiple properties of interest, so selecting a new material (hydrogel) is a multi-attribute decision-making problem. A case study illustrates the application of a structured approach and tools to [...] Read more.

Developing new materials for human cartilage replacement is a hot research topic. These materials have multiple properties of interest, so selecting a new material (hydrogel) is a multi-attribute decision-making problem. A case study illustrates the application of a structured approach and tools to solve this problem type. Ten hydrogels, most of which are new formulations, were evaluated based on three attributes. The weights assigned to the attributes were identified using three methods from the literature, in addition to those previously assigned by an expert. Since the hydrogel properties showed some variability, Monte Carlo simulations were carried out using triangular distribution. Ten thousand decision matrices were built and 10,000 rankings were generated by each of the ten multicriteria decision-making methods employed in this study. Ranking similarity was evaluated through the PS index, whose values ensure consistency and reliability of the results achieved. Rank acceptability and pairwise indexes were used to identify the most promising hydrogels. Two hydrogels were identified as the most promising for further study, for any of the four sets of weights used. Both are annealed nanocellulose-reinforced polyvinyl alcohol and pyrrolidone hydrogels. The robustness of this result is supported on the values of acceptability and pairwise indexes. Full article

(This article belongs to the Special Issue Decision-Making in Sustainable Management)

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28 pages, 1855 KB

Open AccessArticle

A Conceptual Framework for Sustainable Human Resource Management: Integrating Green Practices, Ethical Leadership, and Digital Resilience to Advance the SDGs

by Buyung Kurniawan, Marnis, Samsir and Jahrizal

Sustainability 2025, 17(21), 9904; https://doi.org/10.3390/su17219904 - 6 Nov 2025

Viewed by 1361

Abstract

This article develops a conceptual framework of Sustainable Human Resource Management (Sustainable HRM) by integrating three critical dimensions: Green HRM practices, ethical and responsible leadership, and digital resilience in HR systems. Positioned within the United Nations Sustainable Development Goals (SDGs), the study addresses [...] Read more.

This article develops a conceptual framework of Sustainable Human Resource Management (Sustainable HRM) by integrating three critical dimensions: Green HRM practices, ethical and responsible leadership, and digital resilience in HR systems. Positioned within the United Nations Sustainable Development Goals (SDGs), the study addresses the lack of theoretical integration across the fragmented literature. The framework highlights employee well-being as the central mediating construct linking HRM practices to sustainability outcomes, connecting micro-level engagement, meso-level HR systems and leadership ethics, and macro-level policy and ESG alignment. This explicitly demonstrates the multi-level (micro–meso–macro) nature of the framework. The proposed model advances theory by extending HRM beyond organizational boundaries, offering Sustainable HRM as a boundary-spanning and original perspective that links people management to global sustainability agendas. Using a five-stage conceptual development process including literature synthesis, construct definition, integrative framework building, formulation of conceptual propositions, and the design of a future research agenda—this study explicitly acknowledges its conceptual nature to set appropriate reader expectations and ensures methodological transparency in framework development. The study further contributes (1) to theory by clarifying how Green HRM, ethical leadership, and digital resilience interact through employee well-being to advance sustainability; (2) to practice by providing HR leaders with pathways to embed sustainability into core processes; and (3) to policy by informing regulators on HRM’s role in achieving SDGs. Ultimately, the framework positions HRM as a strategic enabler of sustainable development. Full article

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23 pages, 18667 KB

Open AccessArticle

Spatio-Temporal Evolution of Land Use and Carbon Stock Under Multiple Scenarios Based on the PLUS-InVEST Model: A Case Study of Chengdu

by Lin Li, Yu Feng, Junjie He, Zheng Yang and Yiwen He

Sustainability 2025, 17(21), 9903; https://doi.org/10.3390/su17219903 - 6 Nov 2025

Viewed by 475

Abstract

Under the context of global climate change and China’s dual carbon strategy (DCS), the impact of land use/land cover change (LULCC) on regional carbon stocks has garnered increasing attention. As a key economic and ecological hub in Southwest China, Chengdu has undergone significant [...] Read more.

Under the context of global climate change and China’s dual carbon strategy (DCS), the impact of land use/land cover change (LULCC) on regional carbon stocks has garnered increasing attention. As a key economic and ecological hub in Southwest China, Chengdu has undergone significant urbanization over the past two decades, and it is necessary to quantitatively assess how shifts in land use affect its carbon stock function. This study integrates multi-period remote sensing data from 2000 to 2020, combining socioeconomic and natural environmental drivers. The PLUS model was employed to simulate land use in 2030 under four scenarios: Natural Development Scenario (NDS), Urban Development Scenario (UDS), Conservation of Cropland Scenario (CPS), and Ecological Protection Scenario (EPS). The InVEST model was then used to calculate changes in carbon stocks and their spatial distribution characteristics. The results indicate the following: (1) From 2000 to 2020, Chengdu’s cropland decreased by 1188.6174 km², while built-up land increased by 1006.5465 km², resulting in a net carbon stock decrease of approximately 3.25 × 10⁶ t, with carbon gains from forest restoration offsetting part of the cropland-to-built-up loss; (2) Under all scenarios, built-up land exhibited an expansion trend, with the UDS showing the most significant increase, reaching 1919.2455 km². In the EPS, the forest increased to 4035.258 km², achieving the largest carbon stock increase of 8.5853 × 10⁶ t. (3) Chengdu’s carbon stock exhibits a spatial distribution pattern characterized by “high in the northwest, low in the center”. High-value areas are concentrated in the ecologically sound Longmen Mountains and Longquan Mountains, while low-value areas are primarily located in urban built-up zones and their peripheries. The study indicates that rationally controlling the expansion of Built-up land, strengthening ecological restoration, and protecting forests can effectively enhance Chengdu’s carbon sink capacity and achieve regional low-carbon and sustainable development. This study aims to address the gap in carbon stock assessments under different development scenarios at the urban scale in Southwest China, and to provide a scientific basis for Chengdu’s regional spatial planning, ecological conservation, low-carbon development, and sustainable land management. Full article

(This article belongs to the Section Sustainable Urban and Rural Development)

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22 pages, 5662 KB

Open AccessArticle

Coastal Wetland Conservation and Urban Sustainable Development Synergy Pathway Research: Insights from Qingdao and Weihai for Qinhuangdao

by Wei Xiong, Junjie Li and Bangfan Liu

Sustainability 2025, 17(21), 9902; https://doi.org/10.3390/su17219902 - 6 Nov 2025

Viewed by 506

Abstract

This study addresses the critical challenge of balancing coastal wetland conservation with urban sustainable development, a pivotal issue for ecological civilization in rapidly developing regions. Through an in-depth analysis of Qingdao and Weihai—exemplary cases in Shandong Province—this research systematically investigates mechanisms for achieving [...] Read more.

This study addresses the critical challenge of balancing coastal wetland conservation with urban sustainable development, a pivotal issue for ecological civilization in rapidly developing regions. Through an in-depth analysis of Qingdao and Weihai—exemplary cases in Shandong Province—this research systematically investigates mechanisms for achieving synergistic win–win outcomes. Employing a mixed-methods approach, including systems analysis to deconstruct governance frameworks, comparative case study to identify transferable strategies, and policy deduction to formulate actionable pathways, the study reveals how integrated approaches yield tangible results. Qingdao’s “Five Ocean Usages” concept and Weihai’s segmented coastal zoning have significantly improved key ecological metrics. By contrast, Qinhuangdao faces pronounced challenges, including degraded wetlands, spatial conflict between ports and core habitats, and underdeveloped synergistic governance. To address these, the study proposes a targeted strategy for Qinhuangdao, emphasizing a data-informed “wetland+” multi-format integration plan, the establishment of wetland mitigation banking and green finance instruments, digitally enabled public participation, and deeper policy alignment with national strategies such as Maritime Power. This research provides both a replicable analytical framework and practical guidance for coastal cities seeking to realize “development within protection and protection within development”. Full article

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23 pages, 3991 KB

Open AccessArticle

Does Low-Carbon Pilot City Policy Reduce Transportation CO₂ Emissions? Evidence from China

by Beisi Tian, Changwei Yuan, Hujun Wang, Xinhua Mao, Ningyuan Ma, Jiannan Zhao and Yuchen Guo

Sustainability 2025, 17(21), 9901; https://doi.org/10.3390/su17219901 - 6 Nov 2025

Viewed by 389

Abstract

Transportation is one of the major carbon dioxide (CO₂)-emitting industries, facing substantial reduction pressure under low-carbon sustainable development. Cities are key to reducing transportation CO₂ emissions, and the Low-Carbon City Pilot Policy (LCCPP) is essential to advance the development of [...] Read more.

Transportation is one of the major carbon dioxide (CO₂)-emitting industries, facing substantial reduction pressure under low-carbon sustainable development. Cities are key to reducing transportation CO₂ emissions, and the Low-Carbon City Pilot Policy (LCCPP) is essential to advance the development of low-carbon cities and achieve peak-carbon and carbon-neutral targets. In this paper, we analyse the effect of the LCCP on transportation CO₂ emissions using a multiperiod difference-in-differences (DID) method with data from 284 Chinese cities between 2006 and 2020. The results indicate a substantial reduction in urban transportation CO₂ emissions through the LCCP, and that the enhancement of urban public transportation levels and residents’ green mobility are effective ways to accomplish this. This conclusion is upheld after conducting various robustness tests. Examination of the heterogeneity of the results and spatial analysis revealed that the LCCPP significantly reduced transportation CO₂ emissions in eastern, western, and low-economy cities in China, but not in central and high-economy cities, that the reduction effect was better for southern, non-resource-based cities than for northern, resource-producing cities, and that it exerted notable spillover effects in surrounding cities. The results of this paper offer valid policy insights and practical guidance to maximise the CO₂ reduction effects of the LCCP in the transportation sector. Full article

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18 pages, 4007 KB

Open AccessArticle

Research on an Improved SVM-RF-Based Risk Assessment Algorithm for Infectious Substances at Port of Entry

by Jin Li, Chen Li, Yong Bian, Fengze Wu and Jie Tian

Sustainability 2025, 17(21), 9900; https://doi.org/10.3390/su17219900 - 6 Nov 2025

Viewed by 275

Abstract

The wide variety of infectious substances encountered at ports of entry, coupled with complex risk profiles and the challenges of subjective identification, make it difficult for assessors to conduct rapid, accurate, and objective evaluations, particularly given limitations in expertise and experience. To address [...] Read more.

The wide variety of infectious substances encountered at ports of entry, coupled with complex risk profiles and the challenges of subjective identification, make it difficult for assessors to conduct rapid, accurate, and objective evaluations, particularly given limitations in expertise and experience. To address this challenge and to develop a highly generalizable risk assessment model for infectious substances, this study draws on a five-year case database of risk incidents at Beijing Customs ports. Frequency analysis was first employed to identify key risk factors associated with infectious substances entering ports. Subsequently, risk assessment models were constructed using decision tree, random forest, and support vector machine algorithms, as well as an improved SVM-RF algorithm, followed by an analysis of feature importance. The results demonstrate that the improved SVM-RF algorithm achieved superior generalization performance, with an evaluation accuracy of 0.93. To further validate its applicability and feasibility, the improved model was applied to real cases of infectious substances intercepted at Beijing Customs ports, where its risk level classifications were consistent with expert assessments. These findings provide a valuable reference for improving the customs safety assessment system for special biological resources and for mitigating the risks posed by infectious substances at ports of entry. Full article

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32 pages, 9724 KB

Open AccessArticle

Evaluation of WRF-Downscaled CMIP5 Climate Simulations for Precipitation and Temperature over Thailand (1976–2005): Implications for Adaptation and Sustainable Development

by Chakrit Chotamonsak, Duangnapha Lapyai, Atsamon Limsakul, Kritanai Torsri, Punnathorn Thanadolmethaphorn and Supachai Nakapan

Sustainability 2025, 17(21), 9899; https://doi.org/10.3390/su17219899 - 6 Nov 2025

Viewed by 348

Abstract

Dynamical downscaling is an essential approach for bridging the gap between coarse-resolution global climate models and regional details required for climate impact assessment and sustainable development planning. Thailand, a climate-sensitive country in Southeast Asia, requires robust climate information to support its adaptation and [...] Read more.

Dynamical downscaling is an essential approach for bridging the gap between coarse-resolution global climate models and regional details required for climate impact assessment and sustainable development planning. Thailand, a climate-sensitive country in Southeast Asia, requires robust climate information to support its adaptation and resilience strategies. This study evaluated the Weather Research and Forecasting (WRF) model in dynamically downscaling selected Coupled Model Intercomparison Project Phase 5 (CMIP5) simulations over Thailand during the baseline period of 1976–2005. A two-way nested WRF configuration was employed, with domains covering Southeast Asia (36 km) and Thailand (12 km) in the model. Model outputs were compared with gridded observations from the Climatic Research Unit (CRU TS), and spatial variations were analyzed across six administrative regions in Thailand. The WRF successfully reproduces broad climatological patterns, including the precipitation contrast between mountainous and lowland areas and the north–south gradient of temperature. Seasonal cycles of rainfall and temperature are generally well represented, although systematic biases remain, specifically the overestimation of orographic rainfall and a cold bias in high-elevation regions. The 12 km WRF simulations demonstrated improved special and temporal agreement with the CRU TS dataset, showing a national-scale wet bias (MBE = +17.14 mm/month), especially during the summer monsoon (+65.22 mm/month). Temperature simulations exhibited seasonal derivations, with a warm bias in the pre-monsoon season and a cold bias during the cool season, resulting in annual cold biases in both maximum (−1.25 C) and minimum (−0.80 C) temperatures. Despite systematic biases, WRF-CMIP5 downscaled framework provides enhanced regional climate information and valuable insights to support national-to-local climate change adaptation, resilience planning, and sustainable development strategies in Thailand and the broader Southeast Asian region. Full article

(This article belongs to the Section Air, Climate Change and Sustainability)

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19 pages, 6483 KB

Open AccessArticle

Macropore Characteristics and Their Contribution to Sulfonamide Antibiotics Leaching in a Calcareous Farmland Entisol

by Didier Ngabonziza, Chen Liu, Junfang Cui, Xinyu Liu, Zhixiang Sun and Qianqian Zheng

Sustainability 2025, 17(21), 9898; https://doi.org/10.3390/su17219898 - 6 Nov 2025

Viewed by 380

Abstract

Preferential flow, which primarily drains via vertical and interconnected macropores under gravity, allows water and solutes to transport non-uniformly through the soil matrix. Such a feature exacerbates the leaching risk of pollutants to groundwater. However, there is still a lack of knowledge of [...] Read more.

Preferential flow, which primarily drains via vertical and interconnected macropores under gravity, allows water and solutes to transport non-uniformly through the soil matrix. Such a feature exacerbates the leaching risk of pollutants to groundwater. However, there is still a lack of knowledge of how the soil macropores affect the migration of manure-sourced veterinary antibiotics (VAs) in agricultural soils. This study used a series of techniques, including field dye tracing experiments, measurements of soil water retention curves (SWRCs), and micro-CT scanning, to explore macropore characteristics for a typical Entisol. The leaching behavior of sulfadiazine (SDZ) and sulfamethazine (SMZ) was then investigated using undisturbed columns (15 cm ID × 20 cm) under simulated rainfall. The results revealed the great lateral diffusion ability of the soil (up to 65 cm) as compared to vertical penetration (50 cm depth) in the field. The soil was abundant in macropores with equivalent diameter > 200 µm, and the macroporosity was higher in the lower layer (40–60 cm) than the upper layers, where cultivation may lead to the fragmentation of the soil structure and the formation of more isolated pores. Breakthrough curves (BTCs) and hydrological modeling indicated a faster penetration time and greater leaching of sulfonamides with increased macropores in the soil. Such an effect was, however, strengthened under rainstorm conditions (25 mm h⁻¹). Antibiotics leaching was strongly correlated with the mean macropore diameter (MD), compactness (CP), and connectivity (Γ) parameters and significantly affected by MD and CP (p < 0.05), particularly at a moderate rainfall intensity (11 mm h⁻¹). This study has linked antibiotics migration with the soil structure and highlighted macropores’ contribution to their accelerated leaching, thus providing evidence for environmental risk assessments and promoting sustainable soil and water management in real scenarios of soil macropore flow. Full article

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24 pages, 1076 KB

Open AccessReview

Eco-Innovations in Biopigment Production by Bacteria—Challenges and Future Prospects

by Justyna Możejko-Ciesielska

Sustainability 2025, 17(21), 9897; https://doi.org/10.3390/su17219897 - 6 Nov 2025

Viewed by 488

Abstract

The market for bio-based pigments is growing rapidly, fuelled by the demand for safe, biodegradable colourants in food, cosmetics, pharmaceuticals and textiles. Bacterial pigments offer vibrant colours as well as antimicrobial, antioxidant, anti-inflammatory and anti-cancer properties that increase product safety and shelf life. [...] Read more.

The market for bio-based pigments is growing rapidly, fuelled by the demand for safe, biodegradable colourants in food, cosmetics, pharmaceuticals and textiles. Bacterial pigments offer vibrant colours as well as antimicrobial, antioxidant, anti-inflammatory and anti-cancer properties that increase product safety and shelf life. Despite their benefits, the production of bacterial pigments is associated with challenges such as low yields, high costs and complex processing. Recent eco-innovations such as metabolic engineering, the use of agro-industrial waste as cheap substrates and environmentally friendly extraction methods are helping to solve these problems while promoting the principles of the circular economy. In addition, extremophilic bacteria from harsh environments provide novel pigments with unique industrial potential. This review highlights key advances in eco-innovations for bacterial biopigment production, focusing on genetic engineering, sustainable substrate use, co-production strategies, process optimisation. The role of artificial intelligence and machine learning in improving the biosynthetic efficiency of biopigments will also be analysed. Finally, current challenges and future research opportunities will be discussed to advance microbial biopigments as scalable, cost-effective and environmentally conscious alternatives to synthetic colourants in various industries. Full article

(This article belongs to the Special Issue Environmental Microbiology for Sustainable Bioenergy Solutions)

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18 pages, 1818 KB

Open AccessArticle

Estimating AADT Using Statewide Traffic Data Programs: Missing Data Impact

by Muhammad Faizan Rehman Qureshi and Ahmed Al-Kaisy

Sustainability 2025, 17(21), 9896; https://doi.org/10.3390/su17219896 - 6 Nov 2025

Viewed by 450

Abstract

State highway agencies usually measure Annual Average Daily Traffic (AADT) using traffic data from permanent detector stations within their system-wide traffic monitoring programs. Agencies also estimate the AADT at many other locations using short-term counts. Traffic counters at the permanent stations frequently malfunction, [...] Read more.

State highway agencies usually measure Annual Average Daily Traffic (AADT) using traffic data from permanent detector stations within their system-wide traffic monitoring programs. Agencies also estimate the AADT at many other locations using short-term counts. Traffic counters at the permanent stations frequently malfunction, leading to periods of inaccurate or missing data. Addressing missing data in estimating AADT by highway agencies is important for sustainable infrastructure management. This study used extensive traffic data from permanent detector stations in the state of Montana to examine the effect of missing data on the accuracy of AADT estimation. On a rotational basis, one station was used to test the accuracy of AADT estimation, while the remaining stations (training stations) were used to develop the traffic adjustment factors. Data truncation at the training stations was conducted using two sampling techniques and three scenarios of data availability. The study results showed that the increase in AADT estimation error (inaccuracy) was not linearly proportional to the increase in the amount of missing data. Given the extreme scenarios of missing data examined in this study and the relatively lower effect on AADT estimation error, it can be concluded that the current practice in treating missing data does not involve a considerable compromise in the accuracy of AADT estimation. This highlights the robustness of the current estimation practice, suggesting that it can be effectively applied in statewide traffic monitoring programs without a significant loss of accuracy. Full article

(This article belongs to the Special Issue Advances in Data-Driven Transportation Systems: Emerging Trends, Challenges, and Applications)

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28 pages, 824 KB

Open AccessArticle

How Digitalization Drives Supply Chain Performance in the Romanian Industry: The Roles of Sustainability, Resilience, Risk Management, and Integration

by Mirela Cătălina Türkeș

Sustainability 2025, 17(21), 9895; https://doi.org/10.3390/su17219895 - 6 Nov 2025

Viewed by 790

Abstract

This study investigates the impact of digitalization on sustainability, resilience, risk management, integration, and performance within supply chains. It addresses gaps in the existing literature concerning the role of digitalization in fostering sustainable supply chains. Drawing upon Innovation Diffusion Theory, the Triple Bottom [...] Read more.

This study investigates the impact of digitalization on sustainability, resilience, risk management, integration, and performance within supply chains. It addresses gaps in the existing literature concerning the role of digitalization in fostering sustainable supply chains. Drawing upon Innovation Diffusion Theory, the Triple Bottom Line (TBL), Risk Theory (RT), Organizational Information Processing Theory (OIPT), and the Resource-Based View (RBV), a comprehensive structural model was developed to examine the interrelationships among these constructs. A quantitative research design was employed, with data collected through an online survey of 420 supply chain practitioners. Data analysis, conducted using SPSS 28 and Smart PLS 4, tested the relationships between digitalization and supply chain performance. The findings demonstrate that digitalization exerts a significant positive influence on sustainability, resilience, risk management, and integration, thereby enhancing overall supply chain performance. Results further underscore the importance of aligning supply chain strategies with the unique characteristics of different organizational contexts in order to maximize efficiency and adaptability. In today’s dynamic business environment, digitalization emerges as a critical driver of competitiveness, enabling supply chains to achieve greater responsiveness and long-term sustainability. This study contributes to theory and practice by integrating multiple perspectives to provide nuanced insights into digital transformation, while also offering practical guidance for enterprises seeking to optimize supply chain strategies. Full article

(This article belongs to the Special Issue Sustainable Strategy in Entrepreneurship and in Small and Medium-Sized Enterprises)

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15 pages, 2476 KB

Open AccessArticle

Post-Construction Constructability Assessment and Service Quality in Higher Education Infrastructure: Evidence from a Peruvian University Campus

by Mónica Escate Lira and Victor Ariza Flores

Sustainability 2025, 17(21), 9894; https://doi.org/10.3390/su17219894 - 6 Nov 2025

Viewed by 425

Abstract

This study examines the link between post-construction constructability and perceived service quality in a 15-building campus at Ricardo Palma University (Lima, Peru). The research combined technical assessments, user surveys, and document analysis. Constructability was operationalized across six dimensions: compliance with quality requirements, adherence [...] Read more.

This study examines the link between post-construction constructability and perceived service quality in a 15-building campus at Ricardo Palma University (Lima, Peru). The research combined technical assessments, user surveys, and document analysis. Constructability was operationalized across six dimensions: compliance with quality requirements, adherence to design, valuation, execution time, social impact, and environmental impact. Service quality was measured through user satisfaction surveys. The instruments were validated through expert judgment, while data were analyzed using descriptive statistics, Spearman’s correlations, and non-parametric bootstrap procedures to address the limitations of a small sample size (N = 15). Results indicate positive associations between constructability efficiency and service quality, highlighting that projects with higher constructability scores achieved better user satisfaction levels. The findings provide a replicable framework for evaluating university facilities and offer practical implications for facility management and institutional sustainability. Full article

(This article belongs to the Special Issue Construction Project Management for Sustainable Development: Green Building and Resilient Infrastructure)

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19 pages, 2542 KB

Open AccessArticle

Developing and Implementing an Educational Program for Fostering Local Human Resources in a Depopulated Region of Japan

by Rumi Yatagawa and Hideaki Kurishima

Sustainability 2025, 17(21), 9893; https://doi.org/10.3390/su17219893 - 6 Nov 2025

Viewed by 416

Abstract

This study developed and implemented a three-year educational program aimed at fostering local human resources for sustainable regional development in a depopulated area of Japan. The program was conducted within the “Period for Integrated Studies”, a compulsory cross-curricular subject in Japanese junior high [...] Read more.

This study developed and implemented a three-year educational program aimed at fostering local human resources for sustainable regional development in a depopulated area of Japan. The program was conducted within the “Period for Integrated Studies”, a compulsory cross-curricular subject in Japanese junior high schools designed to promote interdisciplinary and community-based learning. A longitudinal questionnaire survey (2021–2023) of students assessed changes in knowledge, attitudes, and awareness related to regional sustainability. The results showed significant improvements in students’ understanding of sustainability and awareness of local issues, indicating that continuous, school-based programs can promote more enduring learning outcomes than one-time interventions. However, the increase in students’ willingness to take concrete actions was limited, suggesting the need for further curriculum refinement to strengthen the link between awareness and behavioral change. This study provides empirical evidence that embedding sustainability education systematically within the existing curriculum framework can effectively foster young people’s capacity to engage with the future of their local communities. Full article

(This article belongs to the Special Issue Sustainable Education for All: Latest Enhancements and Prospects)

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17 pages, 1208 KB

Open AccessArticle

Beaver Wetland Buffers as Ecosystem-Based Tools for Sustainable Water Management and Lead (Pb) Risk Control

by Olgirda Belova, Kateryna Fastovetska, Egidijus Vigricas, Gintautas Urbaitis and Alvyra Slepetiene

Sustainability 2025, 17(21), 9892; https://doi.org/10.3390/su17219892 - 6 Nov 2025

Viewed by 384

Abstract

Beaver dam–pond systems reshape the hydrology of lowland landscapes by slowing water flow and trapping sediments, thereby reducing the movement of pollutants. This study examined how such beaver-engineered wetlands can naturally filter and signal contamination risks associated with lead (Pb). We combined data [...] Read more.

Beaver dam–pond systems reshape the hydrology of lowland landscapes by slowing water flow and trapping sediments, thereby reducing the movement of pollutants. This study examined how such beaver-engineered wetlands can naturally filter and signal contamination risks associated with lead (Pb). We combined data from three matrices—bottom sediments, riparian vegetation, and non-invasively collected beaver fur—across three Lithuanian sites (2022–2024). Previously published datasets on plants and sediments were complemented with new information from beaver fur to explore seasonal and age-related effects as well as differences inside and outside dam zones. Lead levels were consistently higher in sediments than in plants, while beaver fur reflected variable, site-specific exposures. These results show that beaver activity contributes to the capture and redistribution of sediment-bound Pb in wetland buffers. The approach demonstrates how beaver habitats can serve as low-cost, nature-based sentinels for pollutant monitoring. Using beaver fur as a non-invasive bioindicator and managing dam stability can improve the ecological and policy relevance of buffer zones. Overall, the findings support the integration of beaver-engineered wetlands into environmental management and EU water policy, contributing to SDG 6 goals for clean water and sustainable wetland use. Full article

(This article belongs to the Section Sustainable Water Management)

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29 pages, 4156 KB

Open AccessArticle

Heritage Education, Sustainability and Community Resilience: The HISTOESE Project-Based Learning Model

by Gonçalo Maia Marques

Sustainability 2025, 17(21), 9891; https://doi.org/10.3390/su17219891 - 6 Nov 2025

Viewed by 1136

Abstract

This study presents the HISTOESE (History Education for Sustainable Environments) Model, an empirically grounded and practice-based framework for cultural heritage education and sustainability. Developed through a qualitative, design-based research approach, it analyzes a longitudinal corpus of 50 master’s dissertations and supervised [...] Read more.

This study presents the HISTOESE (History Education for Sustainable Environments) Model, an empirically grounded and practice-based framework for cultural heritage education and sustainability. Developed through a qualitative, design-based research approach, it analyzes a longitudinal corpus of 50 master’s dissertations and supervised teaching reports (2008–2025) from the Polytechnic Institute of Viana do Castelo, Portugal. Although the empirical basis derives from teacher education, the HISTOESE model fosters school–community partnerships that indirectly support cultural tourism and sustainable, place-based recovery. Using inductive thematic analysis, the study traced how project-based learning (PBL) activities mobilised local heritage, community collaboration, and sustainable pedagogical practices. Three key findings emerged: (1) local-context pedagogies strengthened children’s historical consciousness and heritage literacy; (2) inclusive, low-cost and upcycling strategies fostered community participation; and (3) partnerships with museums, tourism offices, and cultural associations generated visible cultural events that reinforced post-COVID resilience. The HISTOESE framework synthesises these insights into four interrelated pillars—Proximity and Contextualization, Inclusive and Sustainable Practices, Recognition and Valorisation and Active Citizenship and Collaboration—providing a transferable model for teacher education and community-based cultural sustainability. Practical implications concern curriculum design, heritage–tourism interfaces, and collaborative strategies for sustainable development. Full article

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