Journal Description
Sustainability
Sustainability
is an international, peer-reviewed, open-access journal on environmental, cultural, economic, and social sustainability of human beings, published semimonthly online by MDPI. The Canadian Urban Transit Research & Innovation Consortium (CUTRIC), International Council for Research and Innovation in Building and Construction (CIB) and Urban Land Institute (ULI) are affiliated with Sustainability and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE and SSCI (Web of Science), GEOBASE, GeoRef, Inspec, RePEc, CAPlus / SciFinder, and other databases.
- Journal Rank: JCR - Q2 (Environmental Studies) / CiteScore - Q1 (Geography, Planning and Development)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 17.9 days after submission; acceptance to publication is undertaken in 3.6 days (median values for papers published in this journal in the second half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Testimonials: See what our editors and authors say about Sustainability.
- Companion journals for Sustainability include: World, Sustainable Chemistry, Conservation, Future Transportation, Architecture, Standards, Merits, Bioresources and Bioproducts, Accounting and Auditing and Environmental Remediation.
- Journal Cluster of Environmental Science: Sustainability, Land, Clean Technologies, Environments, Nitrogen, Recycling, Urban Science, Safety, Air, Waste, Aerobiology and Toxics.
Impact Factor:
3.3 (2024);
5-Year Impact Factor:
3.6 (2024)
Latest Articles
Maritime and Port Contributions to Coastal Nutrient Loading in the Baltic Sea: Apportionment and Regulatory Implications
Sustainability 2026, 18(8), 3983; https://doi.org/10.3390/su18083983 (registering DOI) - 17 Apr 2026
Abstract
►
Show Figures
Eutrophication caused by excessive nitrogen and phosphorus input remains the most severe environmental threat to the Baltic Sea. While nutrient sources in general are widely studied and regulated, the relative importance of maritime nutrient inputs and their regulatory treatment remain insufficiently integrated into
[...] Read more.
Eutrophication caused by excessive nitrogen and phosphorus input remains the most severe environmental threat to the Baltic Sea. While nutrient sources in general are widely studied and regulated, the relative importance of maritime nutrient inputs and their regulatory treatment remain insufficiently integrated into land-based nutrient assessments. This study applies a load-based source apportionment approach and quantifies the maritime- and port-related nutrient inputs to a Baltic Sea coastal system, in relation to other nutrient contributors (riverine, municipal, and industrial sources). Additionally, the stringency of the regulatory frameworks governing each source is assessed using a qualitative regulatory classification scale and compared to the proportion of each nutrient source. The results show that riverine inputs dominate total nutrient loading, accounting for over 90% of both nitrogen and phosphorus. Maritime sources contribute only a small share overall. However, fertilizer cargo handling constitutes the largest nitrogen point source, while ship wastewater inputs are negligible. In contrast, ship wastewater is subject to the strictest regulatory controls, whereas fertilizer handling operates under permits lacking explicit nutrient discharge limits. The findings reveal a governance mismatch between nutrient pressures and regulatory focus and highlight the need to better align nutrient management priorities with actual environmental pressures in semi-enclosed seas.
Full article
Open AccessArticle
Development of a Multi-Dimensional Framework for Interpreting the Sustainability of Textile Materials
by
Eui Kyung Roh
Sustainability 2026, 18(8), 3982; https://doi.org/10.3390/su18083982 (registering DOI) - 16 Apr 2026
Abstract
►▼
Show Figures
Sustainability assessment of textile materials has traditionally relied on origin-based classifications and indicator-driven life cycle assessment (LCA), often treating sustainability as an inherent or material-intrinsic property. However, materials sharing similar biological origins or “bio-based” labels frequently exhibit substantially different sustainability outcomes when processing
[...] Read more.
Sustainability assessment of textile materials has traditionally relied on origin-based classifications and indicator-driven life cycle assessment (LCA), often treating sustainability as an inherent or material-intrinsic property. However, materials sharing similar biological origins or “bio-based” labels frequently exhibit substantially different sustainability outcomes when processing pathways, composite structures, and end-of-life (EoL) compatibility are taken into account. To address this limitation, this study develops a qualitative, multidimensional analytical framework that conceptualizes textile material sustainability as a pathway-dependent and system-mediated outcome rather than an inherent material attribute. The framework integrates four interrelated dimensions—renewability, process sustainability, EoL options, and material source—derived from a structured review of academic, policy, and technical literature. To demonstrate the analytical scope and internal logic of the framework, a selected set of 65 innovative textile materials was systematically analyzed using a three-tier qualitative coding scheme (favorable, conditional, and unfavorable) under conservative data validation criteria. The analysis shows that sustainability performance is primarily shaped by pathway configurations—particularly processing intensity, binder chemistry, and EoL compatibility—rather than material origin alone and that similar bio-based materials can exhibit fundamentally different sustainability profiles depending on these factors. By reframing sustainability from a material-centered perspective to a pathway-oriented and system-based perspective, the proposed framework provides a structured basis for integrating material innovation, process design, and end-of-life planning in sustainability-oriented textile research and development and establishes a conceptual foundation for future empirical and quantitative extensions.
Full article

Figure 1
Open AccessArticle
Nitrate Contamination in Groundwater of the Nansi Lake Region: Source Apportionment, Driving Mechanisms, and Health Risk Assessment
by
Hengyi Zhao, Wenqi Zhang, Min Wang, Chengyuan Song and Xinyi Shen
Sustainability 2026, 18(8), 3981; https://doi.org/10.3390/su18083981 - 16 Apr 2026
Abstract
To identify the sources and driving mechanisms of nitrate contamination in pore water around Nansi Lake, 54 pore water samples were analyzed via hydrogeochemical analysis, Gibbs diagrams, ionic ratios, and principal component analysis (PCA). The pore water is predominantly slightly alkaline, with dominant
[...] Read more.
To identify the sources and driving mechanisms of nitrate contamination in pore water around Nansi Lake, 54 pore water samples were analyzed via hydrogeochemical analysis, Gibbs diagrams, ionic ratios, and principal component analysis (PCA). The pore water is predominantly slightly alkaline, with dominant cations Ca2+ and Na+, and anions HCO3− and SO42−. Nitrate-nitrogen (NO3−-N) concentrations range from 0.82 to 54.31 mg·L−1, with a coefficient of variation of 1.41 and an exceedance rate of 18.52%, indicating significant external inputs. A positive correlation between NO2− and NO3− suggests denitrification in some areas. Nitrate concentrations exhibit distinct spatial heterogeneity: high concentrations occur in agricultural/aquaculture lakeside plains and urban areas, low concentrations near coal mining subsidence zones, and transitional zones showing outward diffusion. Nitrate sources are predominantly anthropogenic. High Cl− and low NO3−/Cl− ratios indicate domestic and aquaculture wastewater infiltration, whereas low Cl− and high NO3−/Cl− ratios indicate agricultural fertilizer input. Industrial and natural sources are minor. PCA identified three controlling factors (cumulative variance 69.81%): coal mining and industrial/domestic pollution (39.82%), carbonate rock weathering (19.44%), and agricultural activities (10.55%). Health risk assessment shows no significant risk for adults (hazard quotient (HQ) < 1), but children face localized risks at nine sites (HQs of 1.25–2.26) in intensive farming, urban, and transitional zones. Excessive fertilizer application and sewage leakage are the primary causes, posing methemoglobinemia risks to infants. This study provides a scientific basis for nitrate pollution control and sustainable water management in the Nansi Lake Basin and offers methodological insights for similar lacustrine plain regions.
Full article
(This article belongs to the Topic Transport, Transformation and Cycling of Elements in Water and Soil and Their Response to Human Activities)
►▼
Show Figures

Figure 1
Open AccessArticle
Business Resilience Index (BRI): Evaluating Economic Recovery Through Event-Study Heterogeneity
by
Qiannan Shen, Dingyuan Liu, Yue Zou, Zhiying Xiao and Tongchen Zhang
Sustainability 2026, 18(8), 3980; https://doi.org/10.3390/su18083980 - 16 Apr 2026
Abstract
This paper develops a Business Resilience Index (BRI) that measures county-level resilience to natural disasters at a county-quarter frequency for the United States over 2014–2024. The index integrates high-frequency labor market outcomes from the Quarterly Census of Employment and Wages with flood insurance
[...] Read more.
This paper develops a Business Resilience Index (BRI) that measures county-level resilience to natural disasters at a county-quarter frequency for the United States over 2014–2024. The index integrates high-frequency labor market outcomes from the Quarterly Census of Employment and Wages with flood insurance policy information from FEMA, disaster damages from the NOAA Storm Events Database, and social and health determinants from County Health Rankings. Starting from a broad candidate set, we apply an interpretable feature-screening pipeline to retain 79 variables and then use principal component analysis to extract four orthogonal structural dimensions of resilience: market scale, socioeconomic resilience, urban density risk, and industrial economy profile. We construct a domain-weighted strategic index and benchmark it against data-driven and equal-weight alternatives, showing that county rankings are highly stable across weighting schemes. To evaluate whether the BRI aligns with recovery behavior under acute shocks, we implement a matched difference-in-differences event study around two major flood episodes—Texas in 2015Q2 and North Carolina in 2018Q3. Conditional on exposure intensity and matched comparability, higher pre-event BRI counties exhibit earlier stabilization and a stronger post-event employment path relative to lower BRI counties, with differences in magnitude and timing across cases. Overall, the BRI provides an interpretable, high-frequency baseline for identifying capacity constraints that may slow recovery and for supporting preparedness targeting and post-disaster monitoring.
Full article
(This article belongs to the Special Issue Sustainable Flood Risk Management: Challenges and Resilience)
Open AccessArticle
A Qualitative Study on Postgraduate Social Entrepreneurship Students’ Experiences with and Perceptions of AI-Augmented Creativity in Sustainable Startup Development
by
Xiuhuo Li and Jongbok Byun
Sustainability 2026, 18(8), 3979; https://doi.org/10.3390/su18083979 - 16 Apr 2026
Abstract
Generative artificial intelligence (AI) is increasingly integrated into sustainability-oriented entrepreneurial practices, raising important questions about its role in shaping human creativity and innovation. This qualitative study examines how postgraduate social entrepreneurship students engage with generative AI during the creativity phase of sustainable startup
[...] Read more.
Generative artificial intelligence (AI) is increasingly integrated into sustainability-oriented entrepreneurial practices, raising important questions about its role in shaping human creativity and innovation. This qualitative study examines how postgraduate social entrepreneurship students engage with generative AI during the creativity phase of sustainable startup development. Drawing on Amabile’s componential theory of creativity, this study explores how AI is perceived to relate to domain-relevant skills, creativity-relevant processes, task motivation, and social–contextual factors. Data were collected through an AI-assisted ideation task, followed by semi-structured interviews, and analyzed using reflexive thematic analysis. The findings reveal that generative AI was perceived as supporting information access and associative thinking, while being unable to replicate human intuition and the “aha” moment associated with deep creativity. Moreover, AI was perceived to have limited influence on intrinsic motivation, which remains driven by personal values and contextual responsibility. Socially, AI was consistently described as a tool rather than a teammate, with emotional responses regarded as superficial. The study further suggests that AI may be understood as a social–contextual condition and highlights a perceived trade-off between efficiency and creativity in AI-assisted ideation. These insights extend the application of creativity theory to AI-supported sustainability contexts and offer practical implications for fostering responsible, human-centered innovation in entrepreneurship education.
Full article
(This article belongs to the Special Issue AI-Driven Entrepreneurship and Sustainable Business Innovation)
►▼
Show Figures

Figure 1
Open AccessArticle
Strategic Planning for Sustainable Last-Mile Logistics: Balancing Airspace Constraints and Carbon Price Uncertainty in Truck-Drone Delivery
by
Chengyou Cui and Jingwen Li
Sustainability 2026, 18(8), 3978; https://doi.org/10.3390/su18083978 - 16 Apr 2026
Abstract
The accelerated growth of e-commerce has intensified the dual challenges of weak infrastructure and carbon emission pressures in last-mile delivery for rural and mountainous regions. As the World Bank calls for integrating carbon market development into national strategies, Truck-Drone Collaborative Delivery (TDCD) has
[...] Read more.
The accelerated growth of e-commerce has intensified the dual challenges of weak infrastructure and carbon emission pressures in last-mile delivery for rural and mountainous regions. As the World Bank calls for integrating carbon market development into national strategies, Truck-Drone Collaborative Delivery (TDCD) has emerged as a critical sustainable solution. However, existing research often overlooks the strict airspace regulations in sensitive border areas. Therefore, this paper proposes a Vehicle Routing Problem with Drones and Mobile Base Stations (VRPDBS) model that explicitly incorporates airspace constraints and mobile hub deployment. We introduce a quantified “Regional Flyability Factor” ( ) to measure the impact of airspace restrictions on routing decisions and solve the problem using a hybrid metaheuristic algorithm. A case study based on real-world data from the Yanbian Korean Autonomous Prefecture reveals that strict airspace compliance imposes an absolute delivery delay of 4–5 h and an operational cost premium of up to 15%, an impact that can be effectively mitigated through a mobile base station mediation strategy. More importantly, multi-scenario sensitivity analysis under carbon price uncertainty indicates that although truck-dominant modes are cost-effective at current low carbon prices, drone-intensive configurations demonstrate superior economic robustness and environmental performance under high carbon price scenarios. This study not only provides a technical framework for green logistics planning in complex airspace but also offers strategic decision support for logistics enterprises to navigate long-term climate policy risks.
Full article
(This article belongs to the Special Issue Advancing Sustainable Supply Chain and Logistics Planning: Challenges, Innovations, and Strategies)
►▼
Show Figures

Figure 1
Open AccessArticle
When Intangible Cultural Heritage Meets AI—Can AI with Anthropomorphism Elements Attract Tourists to Visit Cultural Heritage Sites?
by
Juan Li, Liya Liu, Gen Li and Jianguo Wang
Sustainability 2026, 18(8), 3977; https://doi.org/10.3390/su18083977 - 16 Apr 2026
Abstract
In the context of digital tourism development, artificial intelligence has become one of the major techniques for tourists’ information acquisition and interaction in the field of intangible cultural heritage (ICH) tourism. However, whether AI with anthropomorphism elements attracts tourists to visit cultural heritage
[...] Read more.
In the context of digital tourism development, artificial intelligence has become one of the major techniques for tourists’ information acquisition and interaction in the field of intangible cultural heritage (ICH) tourism. However, whether AI with anthropomorphism elements attracts tourists to visit cultural heritage sites and how AI anthropomorphism design affects visitors’ visit intentions remains unclear. Therefore, based on the stimulus–organism–response (S–O–R) theory, this study proposes an “AI anthropomorphism–AI trust–visit intention” model and investigates the role of AI anthropomorphism in visit intention. In particular, this study tests the effects of perceived intelligence and perceived risk on AI anthropomorphism, as well as the role of AI trust and perceived cultural sustainability on the relationship between AI anthropomorphism and visit intention. With a sample of 478 Chinese respondents who are intangible cultural heritage (ICH) tourists, the hypothesized relationships are tested by employing structural equation modeling. The results show that perceived intelligence exerts a positive effect on AI anthropomorphism, while perceived risk exerts a negative effect on AI anthropomorphism. Moreover, AI anthropomorphism exerts an effect on AI trust, which in turn yields a great influence on visit intention. In addition, further analysis shows that AI type intensifies the effect of anthropomorphism on AI trust, and the relationship between AI trust and visit intention is regulated by perceived cultural sustainability. This study reveals how AI anthropomorphism functions in ICH tourism, and the findings provide practical guidance for advancing intelligent services and giving cultural sustainability top priority in order to support the sustainable growth of ICH tourism.
Full article
(This article belongs to the Topic Digital Marketing Dynamics: From Browsing to Buying)
Open AccessArticle
Construction and Practice of a “Four-Dimension and Four-Stage” Talent Training Model for Postgraduates in Geotechnical Engineering Driven by Sustainability and Intelligence
by
Guofeng Li and Yue Bai
Sustainability 2026, 18(8), 3976; https://doi.org/10.3390/su18083976 - 16 Apr 2026
Abstract
Driven by global sustainable development and intelligent technological innovation, the geotechnical engineering industry is transforming toward the direction of “Intelligent technology + Low-carbon circulation + Ecological friendliness”, creating an urgent demand for interdisciplinary talents with corresponding professional capabilities and sustainable awareness. To address
[...] Read more.
Driven by global sustainable development and intelligent technological innovation, the geotechnical engineering industry is transforming toward the direction of “Intelligent technology + Low-carbon circulation + Ecological friendliness”, creating an urgent demand for interdisciplinary talents with corresponding professional capabilities and sustainable awareness. To address the deficiencies in traditional postgraduate education (e.g., disjointed knowledge systems, inadequate practice oriented to Sustainable Geotechnical Engineering (SGE), and superficial integration of Education for Sustainable Development (ESD), this study constructs a “Four-Dimensional and Four-Stage” integrated talent training model based on the Sustainable Development Goals (SDGs) of the United Nations. Taking “Intelligent Technology—Geotechnical Theory—SGE Scenarios—ESD Literacy” as its core framework and adopting a progressive path of “Basic Cognition—Collaborative Application—Innovative Development—Sustainable Transformation”, this model was piloted among 23 postgraduate students through the course titled “Intelligent Design and Construction of Geotechnical Engineering”. The results show that all the students obtained officially granted software copyrights, their core professional capabilities were significantly improved, 100% of them applied their research achievements to SGE-related practices, and their ESD literacy was notably enhanced. Breaking through the traditional “knowledge-practice” dualistic framework of engineering education, this model achieves the in-depth integration of professional training and sustainable awareness cultivation and thus provides a replicable paradigm for the ESD education of interdisciplinary postgraduate students in the intelligent age.
Full article
(This article belongs to the Section Development Goals towards Sustainability)
Open AccessArticle
Sustainable Inventory Management for Perishable Dairy Products: A Circular-Economy Approach Integrating Environmental Costs
by
Olena Pavlova, Maryna Nagara, Oksana Liashenko, Kostiantyn Pavlov, Rafał Rumin, Viktoriia Marhasova, Oksana Drebot and Karolina Jakóbik
Sustainability 2026, 18(8), 3975; https://doi.org/10.3390/su18083975 - 16 Apr 2026
Abstract
The transition toward sustainable food systems requires innovative approaches to managing perishable products, where inefficient inventory practices contribute significantly to global food loss and environmental degradation. This study develops a circular-economy-oriented inventory optimisation framework for dairy supply chains that integrates environmental externalities and
[...] Read more.
The transition toward sustainable food systems requires innovative approaches to managing perishable products, where inefficient inventory practices contribute significantly to global food loss and environmental degradation. This study develops a circular-economy-oriented inventory optimisation framework for dairy supply chains that integrates environmental externalities and waste valorisation pathways into operational decision-making. Departing from traditional linear “produce–consume–dispose” models, this study embeds three core sustainability mechanisms into a stochastic dynamic-programming framework: (1) progressive environmental cost internalisation aligned with EU Emissions-Trading System carbon pricing, capturing both waste-related emissions and cold-chain energy footprints; (2) circular-economy value-recovery channels that redirect near-expiry products to secondary applications (animal feed, biogas production, industrial processing) rather than disposal; and (3) deterioration-aware demand management that minimises resource throughput while maintaining service levels. Empirical calibration using Ukrainian dairy industry data demonstrates that sustainability-integrated inventory policies reduce waste generation by 4.8–10% relative to conventional approaches, with high-deterioration products showing the greatest potential for improvement. The authors identify a critical threshold in the circular economy: when salvage recovery rates exceed 35%, waste becomes an economic and ecological asset, fundamentally altering the sustainability calculus of inventory decisions. Environmental costs account for 4.6% of total operating expenses at current carbon prices, a share projected to increase substantially as climate regulations tighten. The findings provide actionable guidance for dairy supply chain stakeholders pursuing the Sustainable Development Goals (SDGs 2, 12, 13): processors should establish circular-economy partnerships that achieve salvage rates above 35%, implement product-specific policies for high-deterioration items, and proactively integrate carbon pricing into inventory optimisation. The framework bridges sustainable operations theory and circular economy practice, offering a replicable model for transitioning perishable food supply chains toward closed-loop, low-waste configurations that simultaneously reduce environmental impact and enhance economic performance.
Full article
(This article belongs to the Special Issue Sustainable Management Framework and Operations in the Era of Industry 4.0 with Generative AI)
Open AccessArticle
The Impact of Blockchain Technology on Sustainable Environmental Performance: The Moderating Role of Environmental Management Accounting
by
Abdelmoneim Bahyeldin Mohamed Metwally, Mohamed Ali Shabeeb Ali and Nouran Nabil Abdelsalam Mahmoud Ellelly
Sustainability 2026, 18(8), 3974; https://doi.org/10.3390/su18083974 - 16 Apr 2026
Abstract
This study explores the impact of blockchain technology (BT) implementation on sustainable environmental performance (SEP). Further, the study explores the moderating role of environmental management accounting (EMA) on the BT–SEP relationship. The sample comprises 415 managers in an Egyptian industrial firm. Data were
[...] Read more.
This study explores the impact of blockchain technology (BT) implementation on sustainable environmental performance (SEP). Further, the study explores the moderating role of environmental management accounting (EMA) on the BT–SEP relationship. The sample comprises 415 managers in an Egyptian industrial firm. Data were analyzed using Smart-PLS 4 software. The results revealed a positive and significant impact of BT on SEP. Moreover, EMA showed a significant moderating role as it strengthens the relationship between BT and SEP. These results hold significant implications for policymakers, investors, regulators and corporate executives, underlining the importance of BT implementation and EMA strategies and techniques in shaping SEP, particularly within developing markets such as Egypt. This study makes a distinguished added value to the accounting literature by highlighting the valuable consequences of BT, and EMA on SEP in a unique unexplored context. This study highlights the critical role that EMA plays in moderating the BT–SEP relationship, in contrast to early studies in the literature that focused on examining the direct impact of BT or EMA on SEP.
Full article
(This article belongs to the Special Issue Digital Transformation and Sustainable Growth)
Open AccessArticle
Digital Economy, Agricultural Technological Innovation, and Agricultural Economic Resilience: A Sustainable Agricultural Development Perspective
by
Zhiying Chen and Xiangyu Ma
Sustainability 2026, 18(8), 3973; https://doi.org/10.3390/su18083973 - 16 Apr 2026
Abstract
Digital economy and agricultural technological innovation are key drivers of agricultural economic resilience and sustainable development. However, existing research has yet to clarify how they jointly affect agricultural economic resilience, particularly through potential nonlinear patterns and spatial spillover effects. Using panel data from
[...] Read more.
Digital economy and agricultural technological innovation are key drivers of agricultural economic resilience and sustainable development. However, existing research has yet to clarify how they jointly affect agricultural economic resilience, particularly through potential nonlinear patterns and spatial spillover effects. Using panel data from 30 Chinese provinces, this study measures digital economy development and agricultural economic resilience via the entropy weight method. It systematically examines the direct impact, transmission mechanisms, threshold effects, and spatial spillover effects using two-way fixed effects, mediation, threshold regression, and spatial Durbin models. The findings are as follows. First, the digital economy significantly improves agricultural economic resilience, a result robust to various tests and endogeneity treatments. Second, agricultural technological innovation plays a partial mediating role, accounting for 19.37% of the total effect. Third, the resilience-enhancing effect of agricultural technological innovation exhibits a double-threshold pattern: its positive impact gradually strengthens as the digital economy develops to a higher level. Fourth, the digital economy generates a positive spatial spillover effect on agricultural economic resilience. Fifth, although the digital economy and agricultural technological innovation show synergistic development, their coupling coordination degree remains relatively low, indicating substantial untapped potential for synergy. From a sustainable development perspective, this study reveals the mechanisms through which the digital economy and agricultural technological innovation enhance agricultural economic resilience, providing empirical evidence and policy insights for strengthening agricultural risk resistance and achieving agricultural sustainability via digital transformation and technological progress.
Full article
(This article belongs to the Special Issue Advances in Sustainable Agriculture and Economic Viability: The Role of Technology)
Open AccessArticle
Tourism Structure, Rural Accommodation and External Balance: A Time-Varying Analysis for Türkiye
by
Nurdan Sevim, Alper Yılmaz, Çağlar Karamaşa, Elif Eroğlu Hall and Mahmut Bakır
Sustainability 2026, 18(8), 3972; https://doi.org/10.3390/su18083972 - 16 Apr 2026
Abstract
This study examines the current account implications of sustainable rural tourism in Türkiye by measuring rural tourism intensity through tourist arrivals in locally embedded and small-scale accommodation structures—including mountain lodges, camping sites, hostels, pensions, motels, village houses, and boutique hotels—collectively referred to as
[...] Read more.
This study examines the current account implications of sustainable rural tourism in Türkiye by measuring rural tourism intensity through tourist arrivals in locally embedded and small-scale accommodation structures—including mountain lodges, camping sites, hostels, pensions, motels, village houses, and boutique hotels—collectively referred to as the LESS variable. Using monthly time series data over the period 2000–2025, the trade deficit is modeled as a function of rural accommodation intensity and the real effective exchange rate. The empirical framework employs Johansen cointegration analysis evaluated through the Pantula principle, Vector Error Correction Model-based Granger causality tests, full-sample bootstrap causality tests, and rolling window bootstrap causality analysis to capture time-varying causal dynamics. The findings confirm a long-run cointegration relationship among the variables and reveal that rural tourism intensity exerts a statistically significant causal effect on the trade deficit, with the relationship intensifying during crisis periods such as the 2008 global financial crisis and the COVID-19 shock. Specifically, increases in rural accommodation intensity are found to exert a negative and significant effect on the trade deficit, indicating that locally embedded tourism structures enhance net foreign exchange retention through lower import leakage. These results suggest that tourism structures characterized by stronger local embeddedness and lower import intensity enhance net foreign exchange retention and contribute to external balance stability.
Full article
(This article belongs to the Special Issue Sustainable Tourism and the Cultural Landscape in Rural Areas)
Open AccessArticle
Integrating Machine Learning and Operations Research for Sustainable Demand Forecasting and Production Planning in Craft Breweries
by
Michele Cruz Martins, Marcelo Koboldt, Antonio Augusto Maciel Guimaraes, Matheus de Sousa Pereira, Cezer Vicente de Sousa Filho, João Gonçalves Borsato de Moraes, Sanderson Cesar Macedo de Barbalho and Marcelo Carneiro Gonçalves
Sustainability 2026, 18(8), 3971; https://doi.org/10.3390/su18083971 - 16 Apr 2026
Abstract
The Brazilian craft beer market has experienced continuous growth, increasing operational challenges for small- and medium-sized breweries that frequently rely on empirical and spreadsheet-based production routines. These practices often lead to inefficient resource allocation, production instability, and sustainability concerns. This study proposes an
[...] Read more.
The Brazilian craft beer market has experienced continuous growth, increasing operational challenges for small- and medium-sized breweries that frequently rely on empirical and spreadsheet-based production routines. These practices often lead to inefficient resource allocation, production instability, and sustainability concerns. This study proposes an integrated analytical framework combining Machine Learning (ML) and Operations Research (OR) to improve demand forecasting and production planning. The methodology is based on a synthetic dataset calibrated to the operational conditions of a Brasília-based craft brewery, incorporating realistic demand patterns such as seasonality, trend, and intermittency across multiple SKUs over an 18-month horizon. Forecasting models—including Moving Average, Single Exponential Smoothing, and a global ML-based proxy—were evaluated using rolling-origin validation. The resulting probabilistic forecasts were integrated into a capacity-constrained optimization model based on linear programming, extended with risk-aware decision-making using Conditional Value-at-Risk (CVaR). The results indicate that the ML-based approach achieved competitive forecasting performance (sMAPE = 5.83% and MAE = 11.76) while enabling the generation of capacity-feasible and risk-aware production plans aligned with service-level targets. The integration of probabilistic forecasts into the optimization model allowed explicit trade-offs between cost, service level, and resource utilization. The main contribution of this study lies in demonstrating how the integration of predictive and prescriptive analytics can support more sustainable production planning in resource-constrained manufacturing environments. By replacing ad hoc spreadsheet routines with a closed-loop decision-support system, the proposed framework advances the literature on data-driven PPC and provides practical guidance for SMEs operating under uncertainty.
Full article
Open AccessArticle
Trading and Staying: How E-Commerce Shapes Rural Labor Supply and Retention in China
by
Dongshi Chen and Xiaokang Li
Sustainability 2026, 18(8), 3970; https://doi.org/10.3390/su18083970 - 16 Apr 2026
Abstract
E-commerce is reshaping rural economies in developing countries, yet micro-level evidence on its early effects on rural labor supply and retention remains limited. This study examines these effects in China, distinguishing between platform e-commerce (e.g., Taobao) and social e-commerce (e.g., WeChat) to uncover
[...] Read more.
E-commerce is reshaping rural economies in developing countries, yet micro-level evidence on its early effects on rural labor supply and retention remains limited. This study examines these effects in China, distinguishing between platform e-commerce (e.g., Taobao) and social e-commerce (e.g., WeChat) to uncover heterogeneous effects across different models and demographic subgroups. We employ a propensity score matching difference-in-differences (PSM-DID) method using two-period panel data from 3234 rural residents, covering the critical period of rural e-commerce emergence and expansion in China from 2013 and 2017. Results show that different e-commerce models shape rural labor allocation along both temporal and spatial dimensions. Platform e-commerce significantly promotes localized labor participation, while social e-commerce offers flexible entry points for vulnerable populations such as child-bearing, left-behind women. These findings offer lessons for inclusive digital development in developing countries facing rural labor outflow and digital divides.
Full article
(This article belongs to the Special Issue Agricultural Economics and Rural Development)
Open AccessArticle
A Behavior-Based 3R Measurement Model for Assessing Sustainability in Residential Interior Spaces: Evidence from Jordan
by
Rammah Mahmoud Almaqbool and Kamil Guley
Sustainability 2026, 18(8), 3969; https://doi.org/10.3390/su18083969 - 16 Apr 2026
Abstract
Residential interior spaces significantly contribute to material consumption, renovation waste, and indoor environmental exposure, yet sustainability at the interior scale is still commonly assessed through prescriptive design guidelines, rather than measurable performance. The existing literature lacks an empirically validated framework that operationalizes circular
[...] Read more.
Residential interior spaces significantly contribute to material consumption, renovation waste, and indoor environmental exposure, yet sustainability at the interior scale is still commonly assessed through prescriptive design guidelines, rather than measurable performance. The existing literature lacks an empirically validated framework that operationalizes circular economy practices within residential interiors and links them to consumption-related behavior. To address this gap, this study develops and validates a multidimensional measurement model based on the 3R framework (Reduce, Reuse, Recycle) to evaluate interior sustainability through environmental, economic, and social indicators and examine its relationship with perceptions of overconsumption and continuous interior change. The model was empirically tested in Jerash, Jordan, using a structured survey of adult homeowners (N = 304). Reliability and construct validity were confirmed through exploratory and confirmatory analyses, followed by regression modeling. The results demonstrate that interior sustainability can be reliably quantified using coherent 3R-based constructs, with environmental, economic, and social indicators strongly associated with the three dimensions (r > 0.8). Engagement in reduce and Recycle practices showed significant associations, with more critical attitudes toward trend-driven renovation and excessive consumption, whereas reuse did not demonstrate a statistically significant effect. The model explained 43% of the variance in these perceptions (R2 = 0.432, p < 0.001). The findings advance interior sustainability from prescriptive guidance toward analytical, behavior-based measurement and provide a transferable framework for assessing circular material practices in residential interiors.
Full article
(This article belongs to the Section Green Building)
►▼
Show Figures

Figure 1
Open AccessArticle
Regional Tourism Development: The Role of Sustainable Practices, Logistics Infrastructure, Uncertainty, Safety and Economic Environment of the Countries in Attracting Inbound Tourists
by
Eman Alanzi, Masahina Sarabdeen, Hawazen Zam Almugren and A. C. Muhammadu Kijas
Sustainability 2026, 18(8), 3968; https://doi.org/10.3390/su18083968 - 16 Apr 2026
Abstract
Although tourism is increasingly seen as a key component of sustainable regional development and economic diversification, its extraordinary expansion raises governance and environmental issues at the local level. The current study assesses the influencing factors of inbound tourism demand to Saudi Arabia, a
[...] Read more.
Although tourism is increasingly seen as a key component of sustainable regional development and economic diversification, its extraordinary expansion raises governance and environmental issues at the local level. The current study assesses the influencing factors of inbound tourism demand to Saudi Arabia, a strategic empirical study due to its rapid and ambitious transformation under Vision 2030. This national strategy is designed to cultivate diverse tourist destinations, including coastal eco-resorts, mountain nature escapes, and urban cultural hubs. The unique sustainability hurdles in each area make the Kingdom a prime location for analyzing the development of regional tourism. This research focuses on the vibrant interfaces among sustainable practices, logistical efficiency, perceptions of safety and uncertainty, and macroeconomic environments that shape the Kingdom’s competitiveness as a tourism region. The study draws several beneficial findings using balanced panel data of 16 origin countries during the period of 2009–2023 and is assessed using a dynamic panel Generalized Method of Moments model. The findings state extensive perseverance within tourism flows, such that past arrivals significantly enable simultaneous inflows. Inbound tourism is strongly and favourably influenced by destination-side factors, particularly logistical performance, human rights conditions, and Saudi Arabia’s socioeconomic prosperity. In a similar vein, the demand for outward travel is strongly reinforced by origin-country prosperity. But travel expenses attenuate, environmental pressures and political risk reduce arrivals, and relative prices and pandemic uncertainty play a negligible role. The findings highlight the need to upgrade the country’s logistics infrastructure, enhance rights protection and governance, integrate sustainable practices, and capitalise on prosperity to make Saudi Arabia a desirable travel destination by Vision 2030. A key contribution of this study is to demonstrate how infrastructure, environmental stewardship, and institutional quality shape a region’s tourism attractiveness. The study illustrates how sustainability must be incorporated into regional-specific strategies to balance economic goals with ecological and social imperatives, providing a framework for other countries interested in sustainable tourism.
Full article
(This article belongs to the Special Issue Sustainable Development of Regional Tourism)
Open AccessSystematic Review
Value Management Implementation in Sustainable Construction Projects: A Systematic and Narrative Review
by
Ahmad M. Zamil, Mohammad Alhusban and Abdullah Alharkan
Sustainability 2026, 18(8), 3967; https://doi.org/10.3390/su18083967 - 16 Apr 2026
Abstract
Value Management (VM) is increasingly regarded as a structured approach that can support more effective and sustainability-focused decision-making in construction. However, the literature remains fragmented in how VM is defined, applied, and assessed in relation to sustainable construction. This study therefore explores how
[...] Read more.
Value Management (VM) is increasingly regarded as a structured approach that can support more effective and sustainability-focused decision-making in construction. However, the literature remains fragmented in how VM is defined, applied, and assessed in relation to sustainable construction. This study therefore explores how VM has been implemented in sustainable construction and identifies the main outcomes, barriers, enabling conditions, and research gaps reported in the literature. A systematic literature review with narrative synthesis was conducted. Using a PRISMA-guided review process, 105 studies published between 1994 and 2024 were identified, screened, and analysed. The findings reveal that the literature is unevenly distributed across thematic areas, with the strongest focus on VM application in construction projects, followed by broader related aspects of VM, VM and sustainable construction, VM barriers, VM activities, and VM drivers. Overall, the review indicates that VM has the potential to enhance sustainable construction through more structured decision-making, lifecycle thinking, stakeholder engagement, and value-focused evaluation. However, implementation remains constrained by limited awareness, insufficient training, weak policy support, inconsistent methodologies, and uneven organisational readiness. The review also shows that the literature is more robust in identifying barriers than in explaining the drivers of adoption. In response, this paper proposes an eight-phase framework to facilitate more structured VM implementation in sustainable construction and highlights key directions for future research and practice.
Full article
(This article belongs to the Special Issue Building and Infrastructure Engineering: Sustainable Utilization of Innovative Eco-Efficient Materials—2nd Edition)
Open AccessArticle
Effects of Thermal Variability on Milk Production Traits in Dairy Cattle Under Temperate Continental Conditions in Serbia
by
Nenad Mićić, Dragan Stanojević, Dragan Milićević, Miloš Marinković, Marina Lazarević, Ljiljana Samolovac and Vladan Bogdanović
Sustainability 2026, 18(8), 3966; https://doi.org/10.3390/su18083966 - 16 Apr 2026
Abstract
Milk production in dairy cattle is increasingly challenged by thermal variability. This underscores the need for reliable assessment of microclimatic conditions and their interaction with animal- and management-related factors to ensure sustainable dairy production. The aim of this study was to evaluate the
[...] Read more.
Milk production in dairy cattle is increasingly challenged by thermal variability. This underscores the need for reliable assessment of microclimatic conditions and their interaction with animal- and management-related factors to ensure sustainable dairy production. The aim of this study was to evaluate the effects of thermal variability and selected environmental and biological factors on key milk production traits in dairy cattle. The influence of fixed factors related to production conditions and microclimatic variability, including the Temperature–Humidity Index (THI) as an indicator of thermal variability, on daily milk yield (MY), milk fat content (MF), and milk protein content (MP) was assessed. This study used a dataset covering two observation periods of daily milk production traits in cows of different breeds (Simmental, Holstein-Friesian, Red Holstein, and Brown Swiss) reared in three regions of the Republic of Serbia (Mačva, Podunavlje, and Šumadija), enabling an assessment of thermal variability under diverse production and microclimatic conditions. The expression and variability of the investigated traits were determined using the PROC FREQ and PROC MEANS procedures, while the effects of individual factors were analysed using general linear and regression models, with results expressed as least squares means. All examined factors showed a highly significant effect on MY, MF, and MP (p < 0.0001). Milk production was highest within the THI range of 51–60, corresponding to thermoneutral conditions, whereas higher THI values (>60) reflect increasing thermal load and were associated with measurable reductions in milk yield, as confirmed by statistical analysis. These findings demonstrate that thermal variability and heat stress significantly influence milk production and composition and highlight the importance of integrating microclimatic indicators into sustainability-oriented dairy management and breeding strategies.
Full article
(This article belongs to the Special Issue Sustainable Livestock and Agricultural Production: Challenges and Perspectives)
Open AccessArticle
A Four-Dimensional Governance Framework for Hydrogen Energy Policy: A Comparative Institutional Analysis of G20 Nations
by
Jun Wang and Baomin Wang
Sustainability 2026, 18(8), 3965; https://doi.org/10.3390/su18083965 - 16 Apr 2026
Abstract
Hydrogen energy has emerged as a strategic pathway for decarbonization, industrial transformation, and energy security across major economies. This study does not directly evaluate ex post policy outcomes. Instead, it develops a Four-Dimensional Governance Framework to assess the structural effectiveness and implementation-oriented capacity
[...] Read more.
Hydrogen energy has emerged as a strategic pathway for decarbonization, industrial transformation, and energy security across major economies. This study does not directly evaluate ex post policy outcomes. Instead, it develops a Four-Dimensional Governance Framework to assess the structural effectiveness and implementation-oriented capacity embedded within national hydrogen policy frameworks. The analysis examines G20 countries through four dimensions, namely policy objectives, policy intensity, policy tools, and policy subjects. Using the entropy weighted TOPSIS method, the study compares the relative coherence of hydrogen governance architectures across countries. The results show that countries such as the United States, the United Kingdom, Germany, France, Canada and Japan consistently rank among the leading group in the comparative evaluation, while other countries occupy intermediate or lower positions according to the composite index results. Policy subjects and policy objectives receive relatively higher weights in the empirical analysis, indicating their stronger contribution to cross-national differentiation within the constructed index. The study provides a structured basis for comparing hydrogen governance frameworks and offers a replicable method for future research linking policy design to implementation evidence.
Full article
(This article belongs to the Special Issue Low Carbon Innovation: Energy Policy and Strategic Technology Planning)
Open AccessArticle
A Three-Step System (Biochar and Sand Filtration with Chlorination) for Handwashing Wastewater Treatment and Possible Water Reuse in Rural Schools
by
Jhonny I. Bautista Quispe, Luiza C. Campos, Ondrej Masek and Anna Bogush
Sustainability 2026, 18(8), 3964; https://doi.org/10.3390/su18083964 - 16 Apr 2026
Abstract
School handwashing facilities in rural areas without piped water and drainage systems often discharge wastewater directly into the ground, leading to environmental contamination and loss of a valuable water resource, particularly in water-scarce regions. This study evaluates a decentralised three-stage handwashing wastewater treatment
[...] Read more.
School handwashing facilities in rural areas without piped water and drainage systems often discharge wastewater directly into the ground, leading to environmental contamination and loss of a valuable water resource, particularly in water-scarce regions. This study evaluates a decentralised three-stage handwashing wastewater treatment system combining biochar and sand filtration with chlorination. The integrated system effectively improved water quality by reducing turbidity, colour, suspended solids, nutrients, organic matter, and microbial contamination. While biochar and sand filtration provided substantial physicochemical treatment, chlorination was essential to ensure complete microbial inactivation. The treated water met several water quality standards for potable use (handwashing only) set by the World Health Organization (WHO) and the United States Environmental Protection Agency (USEPA) standards. Additionally, it complied with international guidelines for greywater reuse in toilet flushing, irrigation, and floor washing. This innovative water treatment strategy could help clean and reuse handwashing wastewater on-site. This could provide rural schools with clean water to support water needs in water shortage periods, such as hand hygiene, garden irrigation, toilet flushing, and floor washing. Overall, integrating biochar and sand filtration with disinfection could help remote rural schools recover water, advancing towards the achievement of the Sustainable Development Goals (SDG) for good health (SDG 3), clean water and sanitation (SDG 6), and sustainable communities (SDG 11).
Full article
(This article belongs to the Special Issue Innovative Green Water Technologies for Effective Environmental Pollution Control)
Journal Menu
► ▼ Journal Menu-
- Sustainability Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Instructions for Authors
- Special Issues
- Topics
- Sections & Collections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Society Collaborations
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserHighly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Topic in
Buildings, Energies, Processes, Sustainability, Smart Cities
Energy Consumption Analysis and Characterization of Complex Systems
Topic Editors: Md Rasheduzzaman, Yongming HanDeadline: 30 April 2026
Topic in
Catalysts, ChemEngineering, Chemistry, Processes, Reactions, Sustainability
Green and Sustainable Catalytic Process
Topic Editors: Dmitry Yu. Murzin, Nataliya D. ShcherbanDeadline: 20 May 2026
Topic in
Materials, Mining, Recycling, Resources, Sustainability, Minerals, Geosciences, Environments
Sustainable Recycling and Reuse of Industrial By-Products or Waste from Geo-Resource Exploitation
Topic Editors: Sossio Fabio Graziano, Rossana Bellopede, Giovanna Antonella Dino, Nicola CaredduDeadline: 30 May 2026
Topic in
ChemEngineering, Chemistry, Energies, Processes, Sustainability, Technologies
Advances in Green Energy and Energy Derivatives
Topic Editors: Muhammad Sajid, Nisar Ali, Muhammad Farooq, Mairui ZhangDeadline: 20 June 2026
Conferences
Special Issues
Special Issue in
Sustainability
Climate Resistance and Local Governmental Policy: Lessons from Los Angeles and Tel Aviv
Guest Editor: Alon TalDeadline: 19 April 2026
Special Issue in
Sustainability
Risk Management and Economic Development of Sustainable Enterprises
Guest Editor: Herbert KimuraDeadline: 19 April 2026
Special Issue in
Sustainability
Innovating for a Sustainable Future: Integrating Knowledge Management and Technology for Resilient Systems
Guest Editors: Giovanni Schiuma, Gabriela Citlalli Lopez-TorresDeadline: 19 April 2026
Special Issue in
Sustainability
Valorization of Renewable Resources for the Production of Biobased Products Through the Implementation of Circular Bioeconomy Principles: Second Edition
Guest Editor: Erminda TsoukoDeadline: 20 April 2026
Topical Collections
Topical Collection in
Sustainability
Ethics for a Sustainable World: Academic Integrity and Corrupt Behaviour
Collection Editors: Tomas Bonavia, Martin Julián
Topical Collection in
Sustainability
Climate Change, Adaptation and Disaster Risk Reduction–Planning Perspectives
Collection Editors: Joern Birkmann, Ali Jamshed
Topical Collection in
Sustainability
Measuring Progress towards the Achievement of Sustainable Development Goals (SDGs)
Collection Editor: Cristina Raluca Gh. Popescu
Topical Collection in
Sustainability
Land Degradation Evaluation, Alleviation, and Restoration in Watersheds
Collection Editor: Yung-Chieh Wang





