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Sustainability, Volume 18, Issue 2 (January-2 2026) – 592 articles

Cover Story (view full-size image): Sustainable agriculture requires strategies that enhance crop productivity while preserving soil as a living and resilient system. Endophytic fungi are increasingly recognized as key partners that support plant nutrition, stress tolerance and disease suppression through close interactions with host plants and soil microbiomes. Beyond their direct effects on plant physiology, these fungi influence soil structure, nutrient cycling and microbial community stability, linking plant performance with soil health. This review synthesizes recent advances on how EFs, including mycorrhizal and non-mycorrhizal forms, regulate biological and physicochemical processes in arable soils, integrating insights from microbial ecology, soil science and agronomy to highlight their roles as biofertilizers, biocontrol agents and ecosystem engineers for resilient, low-input farming. View this paper
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24 pages, 737 KB  
Article
A Decision Framework for Early-Stage Circularity Assessment in Sustainable Manufacturing Systems
by Ottavia Aleo, Sascha Nagel, Anika Stephan and Johannes Fottner
Sustainability 2026, 18(2), 1143; https://doi.org/10.3390/su18021143 - 22 Jan 2026
Viewed by 255
Abstract
The transition toward a Circular Economy (CE) has received significant attention from academia, industry, and policymakers; however, manufacturing practices remain predominantly linear, generating waste and inefficiencies. This study addresses the lack of accessible sustainability assessment methods by introducing the Circularity Calculator (CC), a [...] Read more.
The transition toward a Circular Economy (CE) has received significant attention from academia, industry, and policymakers; however, manufacturing practices remain predominantly linear, generating waste and inefficiencies. This study addresses the lack of accessible sustainability assessment methods by introducing the Circularity Calculator (CC), a novel tool for evaluating circular strategies during the early phases of process development. Unlike existing assessment frameworks, which often require extensive data and customization, the CC can be integrated directly to existing processes to combine environmental and economic impact into a streamlined evaluation process for early decision-making. The research involves collaboration with a leading German automotive manufacturer. Site visits and interviews enabled the identification of material flows and primary waste streams, which informed the definition of relevant indicators. The CC generates a dimensionless index, enabling comparison and prioritization of proposed scenarios without relying on supply-chain-wide data, which is often unavailable at early stages. Implications demonstrate the adaptability of the CC across industrial contexts, supporting conceptual planning and operational phases. Its intuitive design facilitates adoption by practitioners without extensive expertise in sustainability. The tool represents an advance in CE assessment, contributing to Sustainable Development Goals (SDGs) 9, 12, and 17 by promoting sustainable industrial practices, resource circularity, and collaborative evaluation frameworks. Full article
(This article belongs to the Special Issue Sustainable and Resilient Cities: The 11th World Sustainability Forum (WSF 2025))
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46 pages, 6181 KB  
Article
Service Model Selection for “Internet + Recycling” Platforms: A Game-Theoretic Analysis of Door-to-Door vs. Fixed-Point Collection
by Jietan Geng, Duo Shang, Mingxu Yu, Jiyao Yin, Zhangyu Chang and Chengjie Zheng
Sustainability 2026, 18(2), 1142; https://doi.org/10.3390/su18021142 - 22 Jan 2026
Viewed by 234
Abstract
The rise of “Internet + Recycling” platforms is transforming the domestic waste management landscape, creating dual-channel reverse supply chains where new platforms interact with traditional recyclers. However, these platforms face critical strategic decisions regarding their service portfolios (convenient but costly door-to-door vs. economical [...] Read more.
The rise of “Internet + Recycling” platforms is transforming the domestic waste management landscape, creating dual-channel reverse supply chains where new platforms interact with traditional recyclers. However, these platforms face critical strategic decisions regarding their service portfolios (convenient but costly door-to-door vs. economical fixed-point drop-off) and their relationship with incumbents (cooperation vs. competition). This study aims to determine the optimal pricing, service level, and relationship strategies for an “Internet + Recycling” center to maximize profitability under the influence of consumer channel preferences and government subsidies. We developed four Stackelberg game-theoretic models representing different scenarios of service modes (fixed-point only vs. fixed-point with door-to-door) and relationship structures (cooperation vs. competition). We derived equilibrium solutions for recycling prices, service levels, and profits. Our results reveal that while cooperation generally leads to higher systemic profits, the addition of a door-to-door service significantly alters the strategic landscape. We find that a higher consumer preference for the platform channel allows the center to lower prices while increasing profits, and that government subsidies are the most effective at enhancing service levels in cooperative models. Crucially, intense competition incentivizes recycling centers to reduce rather than increase their service levels to cut costs. This research provides a decision-making framework for recycling enterprises to select optimal service and competitive strategies. It also offers insights for policymakers on how to design subsidies to effectively promote high-convenience recycling services and foster a more efficient circular economy. Full article
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18 pages, 2814 KB  
Review
Spatial Patterns and Drivers of Ecosystem Service Values in the Qinghai Lake Basin, Northwestern China (2000–2020)
by Yuyu Ma, Kelong Chen, Yanli Han, Shijia Zhou, Xingyue Li, Shuchang Zhu and Hairui Zhao
Sustainability 2026, 18(2), 1141; https://doi.org/10.3390/su18021141 - 22 Jan 2026
Viewed by 204
Abstract
As a vital ecological security barrier and climate regulator in northwestern China, the spatial patterns and evolving formation mechanisms of ecosystem services within the Qinghai Lake basin hold significant strategic value for ecological conservation and national park development in the region. This study [...] Read more.
As a vital ecological security barrier and climate regulator in northwestern China, the spatial patterns and evolving formation mechanisms of ecosystem services within the Qinghai Lake basin hold significant strategic value for ecological conservation and national park development in the region. This study selected land use data during 2000–2020, integrating the equivalent factor method, spatial correlation analysis, and the geodetector approach to systematically investigate the spatial heterogeneity characteristics of ESV in the Qinghai Lake basin and its corresponding driving mechanisms. The results indicate the following: (1) During the period 2000–2020, grassland consistently constituted the primary land cover category within the Qinghai Lake Basin, accounting for over 60% of the total area; water bodies (16.67%) and unused land (16.56%) represented the secondary land use categories. Over this twenty-year period, the total ESV exhibited a slight increasing trend, rising from USD 30.30 × 108 to USD 30.75 × 108, representing a growth of 0.31%. Regulating services constituted the primary component of ESV. The highest contribution to ESV originated from water bodies, with grassland ranking second. (2) ESV displayed a spatial arrangement marked by “high values in the lake center and low values in the surrounding areas” and “higher values in the southeast and lower values in the northwest.” Its spatial correlation exhibits a pronounced positive relationship. The number of units classified as high-high clusters (primarily water bodies at low elevations) and low-low clusters (mainly grasslands and unused land at high elevations) both increased over the study period, indicating a continuous intensification of ESV spatial agglomeration. (3) Results from the geographical detector reveal that both natural and anthropogenic factors collectively drive the spatial variation in ESV, with natural factors exhibiting stronger explanatory capacity. Among these, elevation and temperature are identified as the dominant drivers of ESV spatiotemporal differentiation. The combined effect of two interacting factors surpasses the influence exerted by any single factor in isolation. This research clarifies that the spatial distribution of ESV in the Qinghai Lake Basin, which features “high values in the lake center and low values in the surrounding areas” as well as “higher values in the southeast and lower values in the northwest,” is jointly shaped by the combined control of vertical zonality governed by topographic and climatic factors and the spatial differentiation of human activities. In low-altitude lakeshore zones, ESV rose as a consequence of water body expansion and the enforcement of ecological conservation measures, leading to the emergence of high-value clusters. In contrast, ESV improvement in high-elevation regions remained limited, constrained by fragile natural conditions and minimal human intervention. The insights derived from this research offer a scientific foundation for refining the “one core, four zones, one ring, multiple points” functional zoning framework of the Qinghai Lake National Park, as well as for developing tailored management approaches suited to distinct elevation-based regions. Full article
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17 pages, 558 KB  
Article
Governance Matters: Evidence from Global Analysis on Environmental Sustainable Development Goals
by Karol Durczak, Dariusz Sala, Oksana Liashenko, Michał Pyzalski, Kostiantyn Pavlov, Olena Pavlova, Roman Romaniuk and Agnieszka Sujak
Sustainability 2026, 18(2), 1140; https://doi.org/10.3390/su18021140 - 22 Jan 2026
Viewed by 277
Abstract
This study explores how governance acts as a critical mediator between key environmental Sustainable Development Goals (SDGs)—SDG 13 (Climate Action), SDG 14 (Life Below Water), and SDG 15 (Life on Land)—and overall sustainability performance. Leveraging global datasets from the UN SDG framework and [...] Read more.
This study explores how governance acts as a critical mediator between key environmental Sustainable Development Goals (SDGs)—SDG 13 (Climate Action), SDG 14 (Life Below Water), and SDG 15 (Life on Land)—and overall sustainability performance. Leveraging global datasets from the UN SDG framework and World Bank Governance Indicators, we construct a composite governance index using Principal Component Analysis (PCA) to capture institutional quality. Through mediation and path analysis, we reveal striking patterns: governance amplifies the positive impact of SDG 15 on the overall SDG Index, underscoring its role in biodiversity and land management. Conversely, governance introduces an adverse indirect effect for SDG 13, highlighting institutional and regulatory gaps that weaken climate policy outcomes. No significant mediation is observed for SDG 14, indicating strong contextual dependencies in marine governance. These findings confirm governance as a pivotal driver—either reinforcing or constraining environmental progress. Strengthening governance frameworks through transparency, accountability, and regulatory quality can accelerate progress toward the SDGs and advance the 2030 Agenda. This study provides empirical evidence on governance as a mediator and deepens understanding of institutional mechanisms shaping sustainability trajectories. Full article
(This article belongs to the Special Issue A Quantitative Analysis and Interdisciplinary Approach to the Sustainable Development Goals)
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21 pages, 1482 KB  
Article
Advancing a Sustainable Human–AI Collaboration Ecosystem in Interface Design: A User-Centered Analysis of Interaction Processes and Design Opportunities Based on Participants from China
by Chang Xiong, Guangliang Sang and Ken Nah
Sustainability 2026, 18(2), 1139; https://doi.org/10.3390/su18021139 - 22 Jan 2026
Viewed by 372
Abstract
The application of Generative Artificial Intelligence (GenAI)—defined as a class of AI systems capable of autonomously generating new content such as images, texts, and design solutions based on learned data patterns—has become increasingly widespread in creative design. By supporting ideation, rapid trial-and-error, and [...] Read more.
The application of Generative Artificial Intelligence (GenAI)—defined as a class of AI systems capable of autonomously generating new content such as images, texts, and design solutions based on learned data patterns—has become increasingly widespread in creative design. By supporting ideation, rapid trial-and-error, and data-driven decision-making, GenAI enables designers to explore design alternatives more efficiently and enhances human–computer interaction experiences. In design practice, GenAI functions not only as a productivity-enhancing tool but also as a collaborative partner that assists users in visual exploration, concept refinement, and iterative development. However, users still face a certain learning curve before effectively adopting these technologies. Within the framework of human-centered artificial intelligence, contemporary design practices place greater emphasis on inclusivity across diverse user groups and on enabling intuitive “what-you-think-is-what-you-get” interaction experiences. From a sustainable design perspective, GenAI’s capabilities in digital simulation, rapid iteration, and automated feedback contribute to more efficient design workflows, reduced collaboration costs, and broader access to creative participation for users with varying levels of expertise. These characteristics play a crucial role in enhancing the accessibility of design resources and supporting the long-term sustainability of creative processes. Focusing on the context of China’s digital design industry, this study investigates the application of GenAI in design workflows through an empirical case study of Zhitu AI, a generative design tool developed by Beijing Didi Infinity Technology Development Co., Ltd. The study conducts a literature review to outline the role of GenAI in visual design processes and employs observation-based experiments and semi-structured interviews with users of varying levels of design expertise. The findings reveal key pain points across stages such as prompt formulation, secondary editing, and asset generation. Drawing on the Kano model, the study further identifies potential design opportunities and discusses their value in improving efficiency, supporting non-expert users, and promoting more sustainable and inclusive design practices. Full article
(This article belongs to the Section Sustainable Products and Services)
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25 pages, 1371 KB  
Article
The Role of Digital Literacy in Agricultural Technology Adoption and Efficiency: A Systematic Literature Review
by Ang Xu, Naziatul Aziah Mohd Radzi, Yihui Liu and Lai Wei Sieng
Sustainability 2026, 18(2), 1138; https://doi.org/10.3390/su18021138 - 22 Jan 2026
Viewed by 320
Abstract
Against the backdrop of the “dual carbon” strategy and digital rural development, examining the impact of farmers’ digital literacy on the adoption and efficiency of green agricultural technologies can provide micro-level evidence and actionable policy insights for advancing the green transformation of agriculture. [...] Read more.
Against the backdrop of the “dual carbon” strategy and digital rural development, examining the impact of farmers’ digital literacy on the adoption and efficiency of green agricultural technologies can provide micro-level evidence and actionable policy insights for advancing the green transformation of agriculture. Through a systematic literature review and thematic analysis of 52 eligible studies, this study identifies a significant triple role of digital literacy—as an enabler, a mediating mechanism, and a potential barrier—in the adoption of green agricultural technologies. While digital literacy significantly facilitates technology adoption, its positive effects are constrained by a “capacity gap” arising from limited digital skills, low literacy levels, and inadequate digital infrastructure. Technology adoption demonstrates distinct stratification: digital information and communication technologies (ICTs) exhibit high penetration but superficial utilization; green production technologies are largely limited by capital availability; and precision agriculture, intelligent systems, and blockchain applications remain primarily at the pilot or demonstration stage. Furthermore, the interaction between digital literacy and technology adoption enhances agricultural efficiency by reducing income disparities, fostering rural entrepreneurship, and improving green total factor productivity (GTFP). This review highlights the importance of targeted policies and further research to address the capacity gap, realize sustained efficiency gains, and promote digital empowerment as a pathway to sustainable agricultural transformation. Full article
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41 pages, 1656 KB  
Article
Bridging or Widening? Configurational Pathways of Digitalization for Income Inequality: A Global Perspective
by Shuigen Hu, Wenkui Wang and Yulong Jie
Sustainability 2026, 18(2), 1137; https://doi.org/10.3390/su18021137 - 22 Jan 2026
Viewed by 221
Abstract
Digitalization is widely heralded as a catalyst for growth, yet its role in achieving the United Nations’ Sustainable Development Goal 10 (Reduced Inequalities) remains deeply contested. Moving beyond linear assumptions of “digital dividends,” this study adopts a complex socio-technical systems perspective to unravel [...] Read more.
Digitalization is widely heralded as a catalyst for growth, yet its role in achieving the United Nations’ Sustainable Development Goal 10 (Reduced Inequalities) remains deeply contested. Moving beyond linear assumptions of “digital dividends,” this study adopts a complex socio-technical systems perspective to unravel the configurational pathways linking digitalization to national income inequality. We analyze a high-quality balanced panel of 56 major economies from 2012 to 2022. Employing Panel Fuzzy-Set Qualitative Comparative Analysis (Panel fsQCA) and Necessary Condition Analysis (NCA), this study proposes an evidence-based typology of digitalization-inequality pathways. We reveal that the impact of digital transformation is asymmetric and contingent on geo-economic contexts. NCA identifies Digital Infrastructure, Innovation, and Governance as necessary “bottlenecks” for social equity. Sufficiency analysis uncovers three distinct sustainable development modes: an “Open Innovation Mode” in affluent small economies, driven by global integration and technological frontiers; a “Governance-Regulated Industry Mode” in major economies, where strong state capacity regulates digital industrial scale; and an “Open Niche Mode” for transition economies, leveraging openness to bypass domestic structural deficits. Conversely, we identify a critical “Hollow Governance Trap” in the Global South, where digital governance efforts fail to reduce inequality in the absence of real industrial and infrastructural foundations. These findings challenge one-size-fits-all policies, suggesting that bridging the global digital divide requires context-specific strategies—ranging from synergistic integration to asymmetric breakthroughs—that align digital investments with institutional capacity. Full article
(This article belongs to the Collection Digital Economy and Sustainable Development)
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24 pages, 543 KB  
Article
Digital Siphoning and Resource Lock-In: The Distortion and Spatial Divergence of the Digital Economy’s Green Effects
by Xiaodan Gao, Yinhui Wang and Hu Li
Sustainability 2026, 18(2), 1136; https://doi.org/10.3390/su18021136 - 22 Jan 2026
Viewed by 221
Abstract
As digital technologies increasingly permeate urban governance and economic systems, the digital economy (DE) is widely regarded as a key driver of green urban transformation. However, its environmental effects remain complex under the dual constraints of resource dependence (RD) and spatial structure. Drawing [...] Read more.
As digital technologies increasingly permeate urban governance and economic systems, the digital economy (DE) is widely regarded as a key driver of green urban transformation. However, its environmental effects remain complex under the dual constraints of resource dependence (RD) and spatial structure. Drawing on panel data from 277 Chinese prefecture-level cities from 2011 to 2019, this study systematically evaluates the green impacts of the DE across varying resource conditions and urban lifecycle stages. The results reveal a dual-effect pattern: while digitalization significantly promotes local green sustainable development (GSD), it simultaneously suppresses the green performance of neighboring cities through siphoning effects, creating spatial divergence. Cities with lower levels of RD are more likely to benefit from digital dividends, whereas in high-dependence settings, the green effects of digitalization reverse beyond a critical threshold. Grouped regressions for resource-based (RBCs) and non-resource-based cities (NRBCs) further confirm this moderating mechanism. Moreover, lifecycle heterogeneity among RBCs leads to differentiated green outcomes. By introducing the dual mechanisms of “resource lock-in” and “digital siphoning” into the framework of GSD, this study expands the theoretical understanding of the interaction between digitalization and RD. The findings provide empirical support for interpreting the structural divergence in DE–GSD linkages and offer a quantitative basis for differentiated policy strategies in resource-intensive urban contexts. Full article
(This article belongs to the Topic Global Unconventional Shale Oil and Gas: Geological Mechanisms, Technological Innovations, and Economic–Environmental Sustainability Assessment)
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16 pages, 1206 KB  
Article
Sustainable Preservation of Plant-Based Meat Analogues Using Distinct Conifer Needle Aqueous Extracts
by Žydrūnė Gaižauskaitė, Darius Černauskas, Aelita Zabulionė, Lina Trakšelė, Risto Korpinen and Karolina Almonaitytė
Sustainability 2026, 18(2), 1135; https://doi.org/10.3390/su18021135 - 22 Jan 2026
Viewed by 206
Abstract
The increasing demand for sustainable and clean-label foods has intensified the search for natural preservatives that are capable of replacing synthetic additives. In this study, an exploratory assessment of two distinct spruce needle aqueous extracts were conducted—an aqueous extract of Picea pungens (NWE-1) [...] Read more.
The increasing demand for sustainable and clean-label foods has intensified the search for natural preservatives that are capable of replacing synthetic additives. In this study, an exploratory assessment of two distinct spruce needle aqueous extracts were conducted—an aqueous extract of Picea pungens (NWE-1) and an aqueous extract of Picea abies obtained after prior supercritical CO2 treatment (NWE-2)—and both were investigated as potential bioactive ingredients for plant-based meat analogues. Using UPLC–MS, both extracts were comprehensively characterized, revealing a diverse array of phenolic acids, flavonoids, and glycosides. Even though NWE-2 contained a broader range of bioactive compounds, NWE-1 exhibited superior antibacterial performance (total microbial count (TMC)—4.94 log CFU/g), effectively limiting microbial contamination and ensuring product stability for up to 16 days of storage below the typical spoilage threshold (6.0–7.0 log CFU/g). Sensory analysis indicated that the model plant-based meat analogue matrix tolerated up to 3% (w/w) inclusion of NWE-1 and 5% (w/w) inclusion of NWE-2 before significant degradation of flavor and overall acceptability occurred. By utilizing conifer needles as an underexploited side-stream biomass, this work offers an approach for the valorization of conifer needle material through combined green extraction and food application, contributing to circular and resource-efficient processing concepts. The study provides an exploratory perspective on the potential role of forest-derived resources in the development of natural preservatives and their possible contribution to more sustainable food preservation strategies within a circular bioeconomy framework. Full article
(This article belongs to the Special Issue Green Extraction Processes from Natural Sources and Agricultural By-Products to Achieve New Foods Development: Sustainability Opportunities and Sensory Challenges)
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45 pages, 17559 KB  
Article
The Use of GIS Techniques for Land Use in a South Carpathian River Basin—Case Study: Pesceana River Basin, Romania
by Daniela Mihaela Măceșeanu, Remus Crețan, Ionuț-Adrian Drăguleasa, Amalia Niță and Marius Făgăraș
Sustainability 2026, 18(2), 1134; https://doi.org/10.3390/su18021134 - 22 Jan 2026
Viewed by 482
Abstract
This study is essential for medium- and long-term land-use management, as land-use patterns directly influence local economic and social development. Geographic Information System (GIS) techniques are fundamental tools for analyzing a wide range of geomorphological processes, including relief fragmentation density, relief energy, soil [...] Read more.
This study is essential for medium- and long-term land-use management, as land-use patterns directly influence local economic and social development. Geographic Information System (GIS) techniques are fundamental tools for analyzing a wide range of geomorphological processes, including relief fragmentation density, relief energy, soil texture, slope gradient, and slope orientation. The present research focuses on the Pesceana river basin in the Southern Carpathians, Romania. It addresses three main objectives: (1) to analyze land-use dynamics derived from CORINE Land Cover (CLC) data between 1990 and 2018, along with the long-term distribution of the Normalized Difference Vegetation Index (NDVI) for the period 2000–2025; (2) to evaluate the basin’s natural potential byintegrating topographic data (contour lines and profiles) with relief fragmentation density, relief energy, vegetation cover, soil texture, slope gradient, aspect, the Stream Power Index (SPI), and the Topographic Wetness Index (TWI); and (3) to assess the spatial distribution of habitat types, characteristic plant associations, and soil properties obtained through field investigations. For the first two research objectives, ArcGIS v. 10.7.2 served as the main tool for geospatial processing. For the third, field data were essential for geolocating soil samples and defining vegetation types across the entire 247 km2 area. The spatiotemporal analysis from 1990 to 2018 reveals a landscape in which deciduous forests clearly dominate; they expanded from an initial area of 80 km2 in 1990 to over 90 km2 in 2012–2018. This increase, together with agricultural expansion, is reflected in the NDVI values after 2000, which show a sharp increase in vegetation density. Interestingly, other categories—such as water bodies, natural grasslands, and industrial areas—barely changed, each consistently representing less than 1 km2 throughout the study period. These findings emphasize the importance of land-use/land-cover (LULC) data within the applied GIS model, which enhances the spatial characterization of geomorphological processes—such as vegetation distribution, soil texture, slope morphology, and relief fragmentation density. This integration allows a realistic assessment of the physical–geographic, landscape, and pedological conditions of the river basin. Full article
(This article belongs to the Special Issue Agro-Ecosystem Approaches to Sustainable Land Use and Food Security)
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14 pages, 556 KB  
Article
Uneven Decoupling in Global Agriculture: Productivity Growth, Emission Intensity and Persistent Inequality
by Keisuke Kokubun
Sustainability 2026, 18(2), 1133; https://doi.org/10.3390/su18021133 - 22 Jan 2026
Viewed by 174
Abstract
Improving agricultural productivity while reducing greenhouse gas emissions is a central challenge for sustainable development. Although recent studies suggest that emission intensity has declined in many countries, far less is known about how evenly such “decoupling” has occurred across the world. This study [...] Read more.
Improving agricultural productivity while reducing greenhouse gas emissions is a central challenge for sustainable development. Although recent studies suggest that emission intensity has declined in many countries, far less is known about how evenly such “decoupling” has occurred across the world. This study examines global patterns of agricultural productivity growth and greenhouse gas emission intensity from an inequality perspective. Using harmonized cross-country data from the World Bank and Our World in Data covering up to 175 countries over the period 1990–2020, we analyze country-level decoupling patterns and quantify inequality in agricultural emission intensity using the Theil index. Total inequality is further decomposed into between- and within-income-group components to assess the sources of global disparities. The results yield three main findings. First, although many countries have achieved productivity growth alongside declining emission intensity, decoupling outcomes are highly heterogeneous, even among countries at similar income levels. Second, global inequality in agricultural emission intensity remains persistently high and exhibits substantial fluctuations over time, with no clear evidence of long-run convergence. Third, decomposition results show that approximately 99% of total inequality is driven by disparities within income groups rather than differences between them. These findings challenge income-based narratives of sustainable agricultural transitions and highlight the central role of country-specific factors, institutional capacity, and technological diffusion in shaping environmental performance in agriculture. Full article
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24 pages, 1328 KB  
Article
Sustainable Foods: Opinions, Knowledge and Attitudes of Generation Z Consumers Toward Plant-Based Foods: A Case Study of Polish Students
by Katarzyna Tarnowska, Patrycja Przetacka, Eliza Gruczyńska-Sękowska and Renata Winkler
Sustainability 2026, 18(2), 1132; https://doi.org/10.3390/su18021132 - 22 Jan 2026
Viewed by 203
Abstract
In the face of escalating environmental crises, sustainable development is becoming one of the key global challenges. A growing body of research indicates that transitioning to plant-based diets, including a vegan diet, can significantly improve environmental sustainability. Young people from Generation Z play [...] Read more.
In the face of escalating environmental crises, sustainable development is becoming one of the key global challenges. A growing body of research indicates that transitioning to plant-based diets, including a vegan diet, can significantly improve environmental sustainability. Young people from Generation Z play a crucial role in shaping future consumption patterns, and their beliefs and attitudes toward sustainable food may serve as an important indicator of social changes in the area of nutrition and the potential for implementing pro-ecological practices. The aim of the study is to assess students’ perceptual attitudes toward plant-based products, which constitute an integral part of vegan diets, addressing a significant gap in the literature on sustainable consumption among Generation Z in emerging economies. The study allows for the identification of the main sources of information, psychosocial barriers, and motivational factors underlying the adoption of a vegan diet, situating them within sustainable development paradigms. The research group consisted of 263 university students in Warsaw (Poland). A CAWI survey method was used, with a proprietary questionnaire. The study shows that more than 60% of respondents were not interested in this dietary option, and a similar proportion did not expect to adopt veganism in the future. Students’ attitudes toward the vegan diet are shaped primarily by their self-assessment of nutritional knowledge, previous experiences with plant-based diets, and socio-cultural factors. Although many respondents recognize the health and environmental benefits of a plant-based diet, the lack of reliable knowledge, concerns about deficiencies, higher product costs, and social pressure remain key barriers limiting their willingness to change eating habits. From a practical perspective, the findings highlight the need to develop nutrition education focused on the competencies required to properly balance plant-based diets, to increase the economic and sensory accessibility of vegan food, and to counteract persistent stereotypes and misconceptions about veganism, especially on social media, which is the main source of information for this age group. Full article
(This article belongs to the Section Sustainable Food)
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27 pages, 17115 KB  
Article
The Spatial–Temporal Evolution Analysis of Urban Green Space Exposure Equity: A Case Study of Hangzhou, China
by Yuling Tang, Xiaohua Guo, Chang Liu, Yichen Wang and Chan Li
Sustainability 2026, 18(2), 1131; https://doi.org/10.3390/su18021131 - 22 Jan 2026
Viewed by 267
Abstract
With the continuous expansion of high-density urban forms, residents’ opportunities for daily contact with natural environments have been increasingly reduced, making the equity of urban green space allocation a critical challenge for sustainable urban development. Existing studies have largely focused on green space [...] Read more.
With the continuous expansion of high-density urban forms, residents’ opportunities for daily contact with natural environments have been increasingly reduced, making the equity of urban green space allocation a critical challenge for sustainable urban development. Existing studies have largely focused on green space quantity or accessibility at single time points, lacking systematic investigations into the spatiotemporal evolution of green space exposure (GSE) and its equity from the perspective of residents’ actual environmental experiences. GSE refers to the integrated level of residents’ contact with urban green spaces during daily activities across multiple dimensions, including visual exposure, physical accessibility, and spatial distribution, emphasizing the relationship between green space provision and lived environmental experience. Based on this framework, this study takes the central urban area of Hangzhou as the study area and integrates multi-temporal remote sensing imagery with large-scale street view data. A deep learning–based approach is developed to identify green space exposure, combined with spatial statistical methods and equity measurement models to systematically analyze the spatiotemporal patterns and evolution of GSE and its equity from 2013 to 2023. The results show that (1) GSE in Hangzhou increased significantly over the study period, with accessibility exhibiting the most pronounced improvement. However, these improvements were mainly concentrated in peripheral areas, while changes in the urban core remained relatively limited, revealing clear spatial heterogeneity. (2) Although overall GSE equity showed a gradual improvement, pronounced mismatches between low exposure and high demand persisted in densely populated areas, particularly in older urban districts and parts of newly developed residential areas. (3) The spatial patterns and evolutionary trajectories of equity varied significantly across different GSE dimensions. Composite inequity characterized by “low visibility–low accessibility” formed stable clusters within the urban core. This study further explores the mechanisms underlying green space exposure inequity from the perspectives of urban renewal patterns, land-use intensity, and population concentration. By constructing a multi-dimensional and temporally explicit analytical framework for assessing GSE equity, this research provides empirical evidence and decision-making references for refined green space management and inclusive, sustainable urban planning in high-density cities. Full article
(This article belongs to the Special Issue Ecosystem Services in the Planning and Sustainable Development of Urban Green Spaces)
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23 pages, 9954 KB  
Article
Multi-Output Random Forest Model for Spatial Drought Prediction
by Mir Jafar Sadegh Safari
Sustainability 2026, 18(2), 1130; https://doi.org/10.3390/su18021130 - 22 Jan 2026
Viewed by 193
Abstract
In regions with limited meteorological monitoring systems, spatial drought modeling is of importance for efficient water resource management. This study recommends an alternative drought modeling strategy for Standardized Precipitation Evapotranspiration Index (SPEI) prediction at multiple target stations using data from neighboring stations. The [...] Read more.
In regions with limited meteorological monitoring systems, spatial drought modeling is of importance for efficient water resource management. This study recommends an alternative drought modeling strategy for Standardized Precipitation Evapotranspiration Index (SPEI) prediction at multiple target stations using data from neighboring stations. The Multi-Output Random Forest (MORF) model is implemented in this study to consider the spatial correlations among stations for the simultaneous prediction of SPEI for multiple stations instead of training independent models for each station. The efficiency of MORF is further compared to Multi-Output Support Vector Regression (MOSVR) and three baselines; a single-output RF, a monthly climatology model, and a persistence model. In addition to statistical performance criteria, drought characteristics are evaluated using intensity–duration–frequency analysis for three temporal scales (SPEI-3, SPEI-6, and SPEI-12). Results demonstrate that MORF outperformed MOSVR and RF in approximating observed drought intensity, duration, and frequency under moderate, severe, and extreme drought scenarios. Furthermore, spatial analysis reveals that MORF accurately captured the seasonal evolution of drought conditions including onset and recovery phases. The remarkable success of MORF in contrast to MOSVR and three traditional baselines can be explained by its ability to detect nonlinear and complex interactions of drought condition among various neighboring stations. This study emphasizes the promise of multi-output machine learning algorithms for drought monitoring in water resource management and climate adaptation planning in data-scarce regions. Full article
(This article belongs to the Section Sustainable Water Management)
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37 pages, 5411 KB  
Systematic Review
Mapping the Transition to Automotive Circularity: A Systematic Review of Reverse Supply Chain Implementation
by Lei Zhang, Eric Ng and Mohammad Mafizur Rahman
Sustainability 2026, 18(2), 1129; https://doi.org/10.3390/su18021129 - 22 Jan 2026
Viewed by 260
Abstract
The automotive industry’s shift to a Circular Economy for global sustainability is vital, but it faces challenges when establishing efficient Reverse Supply Chains. Reverse Supply Chain implementation is dependent on multiple barriers and enablers, including eco-nomic, managerial, technological, regulatory, and social domains, thus [...] Read more.
The automotive industry’s shift to a Circular Economy for global sustainability is vital, but it faces challenges when establishing efficient Reverse Supply Chains. Reverse Supply Chain implementation is dependent on multiple barriers and enablers, including eco-nomic, managerial, technological, regulatory, and social domains, thus making single-factor solutions ineffective. The purpose of this review is to conduct a systematic literature review to understand how these interconnected barriers and enablers can collectively shape Reverse Supply Chain implementation and performance, specifically within the automotive sector, which remains little known. The PRISMA framework was utilised, which resulted in 129 peer-reviewed articles being selected for review. Findings showed that the literature focuses primarily on Electric Vehicle batteries within developing economies, particularly China. Reverse Supply Chain implementation is governed not only by isolated barriers but by complex systemic interdependencies between enablers as well. This complex inter-relationship between barriers and enablers can be categorised into five key dimensions: economic and financial; managerial and organisational; technological and infrastructural; policy and regulatory; and market and social. The study reveals two systemic patterns driving the transition: technology–policy interdependence and the conflicting relationship between large-scale production and value extraction. Our findings also presented a research agenda focusing on strategic value creation through material streams of automotive electronics, plastic, and composites with high potential value, and further insights are needed in regions such as the Middle East, Oceania, and the Americas. Organisations should consider Reverse Supply Chain as a strategic approach for securing critical material supplies, while policymakers could leverage the use of digital tools as the foundational infrastructure for subsidies allocation and prevent fraud. Full article
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15 pages, 286 KB  
Article
Assessing the Efficiency and Sustainability of Sugar-Sweetened Beverage Tax in the African Context: A Systematic Review of Evidence
by Rawlings Obenembot Enowkenwa and Fortune Ganda
Sustainability 2026, 18(2), 1128; https://doi.org/10.3390/su18021128 - 22 Jan 2026
Viewed by 278
Abstract
Introduction: The World Health Organisation (WHO) and health advocates have called on governments across the globe to introduce a sugar tax to reduce the intake of sugar-sweetened beverages (SSBs), to prevent obesity and type 2 diabetes. Despite efforts to introduce a sugar tax, [...] Read more.
Introduction: The World Health Organisation (WHO) and health advocates have called on governments across the globe to introduce a sugar tax to reduce the intake of sugar-sweetened beverages (SSBs), to prevent obesity and type 2 diabetes. Despite efforts to introduce a sugar tax, there are limited data on the efficiency and sustainability of the sugar tax in the African continent. Methods: We conducted a systematic literature review to identify studies from Africa and selected countries across the world from 2014 to 2024, to determine the efficiency and sustainability of the sugar tax regarding its impact on beverage intake in the African context. Studies were selected according to their report of the impact of sugar tax on consumption, the decline in beverage products high in sugar content, the reformulation of sugary beverages, and the public acceptability of the tax. Conclusions: There is evidence that the introduction of a sugar tax has resulted in mixed reactions but has generated increased revenue in some African countries: for example, South Africa. The majority of countries in Africa have not introduced the tax. The failure or absence of the tax in Africa has commonalities with some countries elsewhere across the globe. In some developed economies, the tax was introduced but withdrawn one year after its implementation. In addition, limited studies have reported on the sustainability of the tax in Africa. Full article
21 pages, 998 KB  
Article
Green Governance and Energy Transition: A Quantile-on-Quantile Analysis of Renewable Energy, Policy, and Innovation Effects on Carbon Emissions
by Fatma Türüç-Seraj, Ata Pervar, Süheyla Üçışık-Erbilen and Mehdi Seraj
Sustainability 2026, 18(2), 1127; https://doi.org/10.3390/su18021127 - 22 Jan 2026
Viewed by 215
Abstract
In this analysis, the dynamic nexus between green governance, energy transition, and carbon emissions in the period spanning 1990 and 2022 for the twenty-one member economies of the Organization for Economic Cooperation and Development (OECD) and partner economies is examined. Employing Feasible Generalized [...] Read more.
In this analysis, the dynamic nexus between green governance, energy transition, and carbon emissions in the period spanning 1990 and 2022 for the twenty-one member economies of the Organization for Economic Cooperation and Development (OECD) and partner economies is examined. Employing Feasible Generalized Least Squares (FGLS), Driscoll–Kraay Standard Errors (DKSE), and Quantile-on-Quantile Regression (QQR), this analysis encompasses the effects of the use of renewable energy sources, economic growth, and changes in the population on carbon emissions. Results for the analysis show that the adoption of renewable energy sources, tough environmental regulations, and green innovation play a significant role in offsetting carbon emissions since the results are more pronounced at the tail ends of the distribution of carbon emissions. Conversely, changes in the level of population and economic growth are identified as potential exacerbators of environmental concerns. In offering implications for policymakers, this analysis argues that environmental laws and taxation and green innovation are potential means of improving environmental governance in achieving the United Nations’ Sustainable Development Goals and climate change commitments. By addressing the issue of differential environmental effects based on varying levels of carbon emissions, this analysis makes contributions to the expanding literature on sustainable environmental governance in the twenty-first-century energy economy. Full article
(This article belongs to the Special Issue Green Management and Governance in the Energy Industry)
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26 pages, 942 KB  
Article
Institutional Quality, ESG Performance, and Aggressive Tax Planning in Developing Countries
by Marwan Mansour and Mohammed Alomair
Sustainability 2026, 18(2), 1126; https://doi.org/10.3390/su18021126 - 22 Jan 2026
Viewed by 309
Abstract
Aggressive corporate tax avoidance represents a significant fiscal and governance challenge in developing economies, where public revenues are critical for sustainable development and enforcement capacity is often uneven. This study examines whether environmental, social, and governance (ESG) performance constrains corporate tax avoidance and [...] Read more.
Aggressive corporate tax avoidance represents a significant fiscal and governance challenge in developing economies, where public revenues are critical for sustainable development and enforcement capacity is often uneven. This study examines whether environmental, social, and governance (ESG) performance constrains corporate tax avoidance and whether this relationship is conditioned by national institutional quality. Using a multi-country panel of 2464 publicly listed non-financial firms from 14 developing economies over the period 2015–2023, the analysis employs fixed-effects estimation, dynamic System GMM, and instrumental-variable (2SLS) techniques to address unobserved heterogeneity and endogeneity concerns. The results indicate that stronger ESG performance is associated with significantly lower levels of tax avoidance; however, this effect is highly contingent on institutional quality. ESG exerts a substantive disciplining role primarily in governance-strong environments characterized by effective regulation and credible enforcement. Heterogeneity analyses further reveal that the ESG–tax avoidance relationship is driven mainly by the governance and environmental pillars, is more pronounced among large firms, varies across regions, and strengthens over time as ESG frameworks mature. In contrast, the social ESG dimension and smaller firms exhibit weaker or insignificant effects, consistent with symbolic compliance in low-enforcement settings. By integrating stakeholder, legitimacy, agency, and institutional theories, this study advances a context-sensitive understanding of ESG effectiveness and helps reconcile mixed findings in the existing literature. The findings offer policy-relevant insights for regulators and tax authorities seeking to strengthen fiscal discipline and development financing in developing economies. Full article
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28 pages, 766 KB  
Article
Clean Energy Development and Public Health: An Empirical Analysis of Cross-Regional Gas Transmission Infrastructure in China
by Liu Hao and Zhang Bing
Sustainability 2026, 18(2), 1125; https://doi.org/10.3390/su18021125 - 22 Jan 2026
Viewed by 229
Abstract
Promoting the clean energy transition is crucial for environmental sustainability and public health. Utilizing data from the China Health and Nutrition Survey (CHNS) spanning 2006–2015, this study employs a Difference-in-Differences (DID) model, treating China’s West–East Gas Pipeline Project (WEGT) as a quasi-natural experiment [...] Read more.
Promoting the clean energy transition is crucial for environmental sustainability and public health. Utilizing data from the China Health and Nutrition Survey (CHNS) spanning 2006–2015, this study employs a Difference-in-Differences (DID) model, treating China’s West–East Gas Pipeline Project (WEGT) as a quasi-natural experiment to evaluate the causal impact of natural gas infrastructure expansion on residents’ health. The empirical results indicate that the WEGT significantly improved public health, reducing the probability of self-reported recent illness by approximately 8.2 percentage points. Heterogeneity analysis shows more pronounced effects among urban residents and the elderly. Mechanism analysis reveals that the infrastructure improves health primarily by optimizing household energy structures and reducing industrial pollution emissions. Furthermore, the “Coal-to-Gas” policy synergistically enhances these health benefits. Economic co-benefits analysis estimates that the project reduced individual annual medical expenditures by approximately 540 RMB and increased the probability of employment by 6.9%. These findings provide empirical evidence for deepening supply-side structural reforms in energy and support the realization of the United Nations Sustainable Development Goals (SDGs), specifically by demonstrating how resilient infrastructure (SDG 9) enables affordable clean energy (SDG 7), which in turn delivers good health and well-being (SDG 3). Full article
(This article belongs to the Topic Energy Transition: Balancing Economic, Political, and Social Realities)
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19 pages, 4020 KB  
Article
P-Wave Polarization-Based Attitude Estimation and Seismic Source Localization for Three-Component Microseismic Sensors
by Jianjun Hao, Bingrui Chen, Yaxun Xiao, Xinhao Zhu, Qian Liu and Ruhong Fan
Sustainability 2026, 18(2), 1124; https://doi.org/10.3390/su18021124 - 22 Jan 2026
Viewed by 162
Abstract
Microseismic source localization is essential for the early warning of disasters in deep rock mass engineering. Traditional time difference methods require a dense sensor network, which is often impractical in large-scale scenarios with low-density sensor placement. Three-component microseismic sensors offer a promising alternative [...] Read more.
Microseismic source localization is essential for the early warning of disasters in deep rock mass engineering. Traditional time difference methods require a dense sensor network, which is often impractical in large-scale scenarios with low-density sensor placement. Three-component microseismic sensors offer a promising alternative by utilizing multi-axis sensing, but their application depends on accurate sensor attitude estimation—a challenge due to installation deviations, integration errors, magnetic interference, and ambiguity in P-wave polarization direction. This study proposes an attitude calculation and source localization method based on P-wave polarization analysis. For attitude estimation, a unit vector from the sensor to the event is used as a reference; the P-wave polarization direction is extracted via covariance matrix analysis, and a novel “direction–vector–rotation–matrix cross-optimization” method resolves polarization–vector ambiguity. Multi-event data fusion enhances stability and robustness. For source localization, a “1 three-component + 1 single-component” sensor scheme is introduced, combining distance, azimuth, and distance difference constraints to achieve accurate positioning while substantially reducing hardware and energy costs. Field validation at the Yebatan Hydropower Station shows an average reference vector conversion error of 7.72° and an average localization deviation of 10.72 m compared with a conventional high-precision method, meeting engineering early-warning requirements. The proposed approach provides a cost-effective, efficient technical solution for large-scale microseismic monitoring with low sensor density, supporting sustainable infrastructure development through improved disaster risk management. Full article
(This article belongs to the Section Hazards and Sustainability)
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15 pages, 436 KB  
Article
Artificial Intelligence in Sustainable Marketing: How AI Personalization Impacts Consumer Purchase Decisions
by Enas Alsaffarini and Bahaa Subhi Awwad
Sustainability 2026, 18(2), 1123; https://doi.org/10.3390/su18021123 - 22 Jan 2026
Viewed by 824
Abstract
The study explores how consumer buying behavior is influenced by artificial intelligence (AI) personalization, with a specific focus on responsible and sustainability-aligned digital marketing. Using an explanatory sequential mixed-methods design, the study analyzes a quantitative survey and qualitative interviews. Results show that purchase [...] Read more.
The study explores how consumer buying behavior is influenced by artificial intelligence (AI) personalization, with a specific focus on responsible and sustainability-aligned digital marketing. Using an explanatory sequential mixed-methods design, the study analyzes a quantitative survey and qualitative interviews. Results show that purchase behavior is strongly affected by exposure to AI messages—especially when recommendations are relevant, timely, and emotionally appealing—and by trust in AI, while perceived lack of trust inhibits purchasing. Qualitative findings underscore affective responses alongside ethical concerns, perceived transparency, and perceived control over data. Overall, the study shows that effective personalization depends not only on algorithmic sophistication but also on users’ sense of relevance and autonomy and on ethical data governance. The conclusions highlight sustainability-consistent implications for marketers: increase data transparency, segment customers by privacy sensitivity, and adopt accountable, consent-based personalization to build durable trust and loyalty. Future research should examine longitudinal effects and cultural differences, acknowledging limits of small purposive qualitative samples for generalization and exploring how consumer trust, ethical perceptions, and responses to AI personalization evolve over time. Full article
(This article belongs to the Special Issue Sustainable Digital Marketing Policy and Studies of Consumer Behavior)
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24 pages, 5286 KB  
Article
A Conditional Value-at-Risk-Based Bidding Strategy for PVSS Participation in Energy and Frequency Regulation Ancillary Markets
by Xiaoming Wang, Kesong Lei, Hongbin Wu, Bin Xu and Jinjin Ding
Sustainability 2026, 18(2), 1122; https://doi.org/10.3390/su18021122 - 22 Jan 2026
Viewed by 147
Abstract
As the participation of photovoltaic–storage systems (PVSS) in the energy and frequency regulation ancillary service markets continues to increase, the market risks caused by photovoltaic output uncertainty will directly affect photovoltaic integration efficiency and the provision of system flexibility, thereby having a significant [...] Read more.
As the participation of photovoltaic–storage systems (PVSS) in the energy and frequency regulation ancillary service markets continues to increase, the market risks caused by photovoltaic output uncertainty will directly affect photovoltaic integration efficiency and the provision of system flexibility, thereby having a significant impact on the sustainable development of power systems. Therefore, studying the risk decision-making of PVSS in the energy and frequency regulation markets is of great importance for supporting the sustainable development of power systems. First, to address the issue where the existing studies regard PVSS as a price taker and fail to reflect the impact of bids on clearing prices and awarded quantities, this paper constructs a market bidding framework in which PVSS acts as a price-maker. Second, in response to the revenue volatility and tail risk caused by PV uncertainty, and the fact that existing CVaR-based bidding studies focus mainly on a single energy market, this paper introduces CVaR into the price-maker (Stackelberg) bidding framework and constructs a two-stage bi-level risk decision model for PVSS. Finally, using the Karush–Kuhn–Tucker (KKT) conditions and the strong duality theorem, the bi-level nonlinear optimization model is transformed into a solvable single-level mixed-integer linear programming (MILP) problem. A simulation study based on data from a PV–storage power generation system in Northwestern China shows that compared to PV systems participating only in the energy market and PVSS participating only in the energy market, PVSS participation in both the energy and frequency regulation joint markets results in an expected net revenue increase of approximately 45.9% and 26.3%, respectively. When the risk aversion coefficient, β, increases from 0 to 20, the expected net revenue decreases slightly by about 0.4%, while CVaR increases by about 3.4%, effectively measuring the revenue at different risk levels. Full article
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19 pages, 803 KB  
Article
Sustainable Development from a Governance Perspective
by Bassam A. Albassam
Sustainability 2026, 18(2), 1121; https://doi.org/10.3390/su18021121 - 22 Jan 2026
Viewed by 221
Abstract
Economic diversification is one state method used to best utilize national resources and contribute to economic and sustainable development. This paper examines the impact of governance on economic diversification in a selected number of countries (114) using both governance and economic diversification indicators [...] Read more.
Economic diversification is one state method used to best utilize national resources and contribute to economic and sustainable development. This paper examines the impact of governance on economic diversification in a selected number of countries (114) using both governance and economic diversification indicators from 1996 to 2023. The intended outcome of this paper is to determine whether the improvement in the quality of governance, measured by the aggregated WGI index, is positively and statistically associated with an increase in the Economic Complexity Index (ECI). A general linear mixed model (GLMM) was constructed to address the research question by evaluating fixed and random effects based on the analysis of repeated measures. However, the study has some limitations such as using an aggregate governance index rather than each indicator by itself and differences among country groups in development and institutional quality level. The findings reveal that economic diversification is linked to the quality of a country’s institutions. The result shows that (coefficient β = 0.283) with 95% CI, which means that on average, the ECI increased by 0.283 for every one-unit increase in the WGI. Moreover, the increase in ECI exceeded 0.1 for every one-unit increase in WGI 95% of the time. Countries with advanced administrative, economic, and institutional structures are better positioned to achieve their desired economic diversification goals. Thus, decision-makers and legislators, especially in countries with low-levels of institutional quality, need to balance ensuring good governance practices with supporting the country’s economic development. Full article
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11 pages, 566 KB  
Article
Heat-Tolerant Quinoa as a Multipurpose Crop in the Tropics
by Edil Vidal Torres, Senay Simsek, Angela M. Linares Ramírez and Elide Valencia
Sustainability 2026, 18(2), 1120; https://doi.org/10.3390/su18021120 - 22 Jan 2026
Viewed by 120
Abstract
Quinoa (Chenopodium quinoa Willd.) is increasingly valued as a climate-resilient crop due to its nutritional quality and adaptability; however, there is limited information on the nutritional composition of heat-tolerant genotypes grown in tropical environments or the potential of quinoa leaves as an [...] Read more.
Quinoa (Chenopodium quinoa Willd.) is increasingly valued as a climate-resilient crop due to its nutritional quality and adaptability; however, there is limited information on the nutritional composition of heat-tolerant genotypes grown in tropical environments or the potential of quinoa leaves as an additional nutrient source. This study assessed the nutritional composition of leaves and grains from three heat-tolerant quinoa genotypes (Ames 13746 (Pison), Ames 13748 (Copacabana), and Ames 13745 (Kaslae)) to support their use as multipurpose crops in warm regions. Crude protein, amino acid, dietary fiber fraction, total fat, total starch, and mineral (Ca, Mg, P, K, Fe, and Zn) concentrations were quantified using AOAC, AACCI, and AOCS standardized methods. The grains exhibited a balanced essential amino acid profile, with lysine concentrations exceeding those of most staple cereals. The protein contents in the leaves and grains did not differ among genotypes (p > 0.05), although combustion analysis yielded consistently higher values than the Kjeldahl method. The leaves differed significantly in insoluble and total dietary fiber (p < 0.05), with Kaslae presenting the highest levels. In grains, the dietary fiber, total fat, total starch, and mineral contents did not vary among genotypes. The leaf mineral composition differed in terms of Ca and P, while Mg, Fe, K, and Zn levels remained similar across genotypes. These findings underscore quinoa’s potential as a nutrient-dense, multipurpose crop for food production in tropical environments. Full article
(This article belongs to the Special Issue Sustainable Agricultural Production and Crop Plants Protection)
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24 pages, 3402 KB  
Article
Environmental and Mechanical Trade-Off Optimization of Waste-Derived Concrete Using Surrogate Modeling and Pareto Analysis
by Robert Haigh
Sustainability 2026, 18(2), 1119; https://doi.org/10.3390/su18021119 - 21 Jan 2026
Viewed by 253
Abstract
Concrete production contributes approximately 4–8% of global cardon dioxide emissions, largely due to Portland cement. Incorporating municipal solid waste (MSW) into concrete offers a pathway to reduce cement demand while supporting circular economy objectives. This study evaluates the mechanical performance, environmental impacts, and [...] Read more.
Concrete production contributes approximately 4–8% of global cardon dioxide emissions, largely due to Portland cement. Incorporating municipal solid waste (MSW) into concrete offers a pathway to reduce cement demand while supporting circular economy objectives. This study evaluates the mechanical performance, environmental impacts, and optimization potential of concrete incorporating three MSW-derived materials: cardboard kraft fibers (KFs), recycled high-density polyethylene (HDPE), and textile fibers. A maximum 10% cement replacement strategy was adopted. Compressive strength was assessed at 7, 14, and 28 days, and a cradle-to-gate life cycle assessment (LCA) was conducted using OpenLCA to quantify global warming potential (GWP100) and other midpoint impacts. A surrogate-based optimization implemented using Non-dominated Sorting Genetic Algorithm II (NSGA-II) was applied to minimize cost and GWP while enforcing compressive strength as a feasibility constraint. The results show that fiber-based wastes significantly reduce embodied carbon, with KF achieving the largest GWP reduction (19%) and textile waste achieving moderate reductions (10%) relative to the control. HDPE-modified concrete exhibited near-control mechanical performance but increased GWP and fossil depletion due to polymer processing burdens. The optimization results revealed well-defined Pareto trade-offs for KF and textile concretes, identifying clear compromise solutions between cost and emissions, while HDPE was consistently dominated. Overall, textile waste emerged as the most balanced option, offering favorable environmental gains with minimal cost and acceptable mechanical performance. The integrated LCA optimization framework demonstrates a robust approach for evaluating MSW-derived concrete and supports evidence-based decision-making toward low-carbon, circular construction materials. Full article
(This article belongs to the Special Issue Advanced Materials and Technologies for Environmental Sustainability)
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19 pages, 1455 KB  
Article
Regional Disparities Call for Defining the Target Population of Environments (TPEs) and the Breeding Strategies for Sustainable Agriculture: A Case Study on Rice Improvement in Vietnam
by Huynh Quang Tin, Loi Huu Nguyen, Benjamin Kilian and Shivali Sharma
Sustainability 2026, 18(2), 1118; https://doi.org/10.3390/su18021118 - 21 Jan 2026
Viewed by 290
Abstract
This study examines the socio-demographic characteristics, rice production practices, and breeding preferences of farmers across three major rice-growing regions of Vietnam: the Mekong Delta, Central Vietnam, and North Vietnam. A survey of 109 rice farmers captured information on cultivation status, livelihood activities, and [...] Read more.
This study examines the socio-demographic characteristics, rice production practices, and breeding preferences of farmers across three major rice-growing regions of Vietnam: the Mekong Delta, Central Vietnam, and North Vietnam. A survey of 109 rice farmers captured information on cultivation status, livelihood activities, and preferred breeding traits for rice improvement. The results reveal clear regional differentiation in farm structure, production objectives, and varietal preferences. Rice farming in the Mekong Delta is predominantly commercially oriented, characterized by larger landholdings and greater male participation, whereas rice production in Central and Northern Vietnam is more subsistence-oriented, with higher female involvement. Farmers across regions consistently valued locally adapted rice varieties, but articulated region-specific trait priorities shaped by agro-ecological conditions. In the Mekong Delta, preferences emphasized soft grain quality and salinity tolerance, reflecting coastal production constraints. In Central Vietnam, farmers prioritized heat tolerance and resistance to pests and diseases, while in Northern Vietnam, cold tolerance and grain quality attributes, including aroma and harder texture, were most important. Major biotic stresses, particularly blast and bacterial blight, also showed significant regional variation in reported incidence. By linking these region-specific preferences to clearly defined Target Populations of Environments (TPEs), this study provides a practical framework for aligning breeding targets with real-world production conditions. The findings offer actionable guidance for participatory breeding and decentralized varietal evaluation under the Biodiversity for Opportunities, Livelihoods, and Development (BOLD) initiative, as well as other rice improvement programs. To our knowledge, this represents the first multi-region evidence from Vietnam that systematically integrates agro-ecological variation with a TPE-based breeding approach, supporting the development of climate-resilient, farmer-preferred rice varieties and more sustainable rice production systems. Full article
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25 pages, 1635 KB  
Review
Advancements in Solar Tracking: A Comprehensive Review of Image-Processing Techniques
by Jihad Rishmany, Chawki Lahoud, Jamal Harmouche, Rodrigue Imad and Nicolas Saba
Sustainability 2026, 18(2), 1117; https://doi.org/10.3390/su18021117 - 21 Jan 2026
Viewed by 347
Abstract
Solar energy is a widely available renewable source suitable for diverse applications, including residential, industrial and aerospace sectors. To maximize energy capture, solar tracking systems adjust panels to maintain perpendicular alignment with sunlight. Various tracking techniques are employed to adjust these trackers, such [...] Read more.
Solar energy is a widely available renewable source suitable for diverse applications, including residential, industrial and aerospace sectors. To maximize energy capture, solar tracking systems adjust panels to maintain perpendicular alignment with sunlight. Various tracking techniques are employed to adjust these trackers, such as sensors, predefined algorithms, deep learning, and image-processing techniques. Image processing-based trackers have gained prominence for their precision and accuracy. This approach uses cameras as sensors to capture real-time sky images and analyze them to detect the sun and its coordinates, orienting solar panels toward its center. This technology can be integrated with other techniques to enhance energy output with high accuracy, minimal tracking error, and low maintenance requirements. This review examines computer vision methods used in solar tracking systems, synthesizing findings from 26 studies published between 2009 and 2024. The paper discusses main system components, methods utilized, and results obtained. Findings demonstrate that the robustness and accuracy of these tracking systems have increased compared to other tracking systems, while tracking error has decreased. Full article
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23 pages, 380 KB  
Article
Integration of Climate Crisis Awareness and Nature-Based Learning into Curricula: Perspectives of Primary School Teachers
by Emine Kaya
Sustainability 2026, 18(2), 1116; https://doi.org/10.3390/su18021116 - 21 Jan 2026
Viewed by 241
Abstract
A sustainable future is possible by educating children about the climate crisis and environmental issues. In this context, this study aims to examine the views of primary school teachers on integrating climate crisis awareness and nature-based learning into curricula. The sample of the [...] Read more.
A sustainable future is possible by educating children about the climate crisis and environmental issues. In this context, this study aims to examine the views of primary school teachers on integrating climate crisis awareness and nature-based learning into curricula. The sample of the study consisted of 15 primary school teachers working in the province of Adıyaman in the Southeastern Anatolia Region of Türkiye. Data were collected using a personal information form and a semi-structured interview form. The data were analyzed using the content analysis method. The results of the study revealed the perspectives of teachers on climate crisis awareness and the integration of nature-based learning into curricula. It is concluded that curricula are found inadequate in both quantitative and qualitative terms, while the integration of climate crisis awareness and nature-based teaching into curricula is viewed positively. Teachers criticize the lack of materials, low public awareness, and insufficient physical infrastructure in schools. In the educational process, whether conducted face-to-face or through digital tools, the aim is to present children with hopeful scenarios rather than fear and anxiety. It is observed that local, cultural, and ecological contexts guide the teaching process, and teachers require in-service training. Full article
(This article belongs to the Section Sustainable Education and Approaches)
30 pages, 1878 KB  
Article
Regenerating Public Residential Assets: Ex-Ante Evaluation Tools to Support Decision-Making
by Lucia Della Spina, Ruggiero Galati Casmiro and Claudia Giorno
Sustainability 2026, 18(2), 1115; https://doi.org/10.3390/su18021115 - 21 Jan 2026
Viewed by 196
Abstract
The increasing need to regenerate public housing stock highlights the importance of adopting integrated evaluation tools capable of supporting transparent, sustainable, and public value-oriented investment decisions. This study compares two alternative intervention strategies—renovation with extension and demolition followed by reconstruction—by applying a Cost–Benefit [...] Read more.
The increasing need to regenerate public housing stock highlights the importance of adopting integrated evaluation tools capable of supporting transparent, sustainable, and public value-oriented investment decisions. This study compares two alternative intervention strategies—renovation with extension and demolition followed by reconstruction—by applying a Cost–Benefit Analysis (CBA) model developed in two phases. In the first phase, the analysis focuses on social benefits, with the aim of assessing their contribution to collective well-being. The second phase incorporates potential energy-related benefits, estimated on the basis of performance improvements associated with the two design scenarios. The results demonstrate that the integrated consideration of economic, social, and energy–environmental dimensions affects the relative performance differences between the examined strategies, offering a more comprehensive evaluation framework than conventional approaches based solely on monetary costs. The proposed model, which is replicable in Mediterranean contexts, contributes to the ongoing international debate on ex ante evaluation tools and provides operational insights to support urban regeneration policies oriented towards more effective, equitable, and policy-consistent solutions, in line with the objectives of the European Green Deal and the 2030 Agenda. The two-phase structure allows decision-makers to distinguish between short-term social effects and long-term energy-related benefits, offering a transparent support tool for public investment choices under fiscal constraints. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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32 pages, 2929 KB  
Article
Policy Plateau and Structural Regime Shift: Hybrid Forecasting of the EU Decarbonisation Gap Toward 2030 Targets
by Oksana Liashenko, Kostiantyn Pavlov, Olena Pavlova, Olga Demianiuk, Robert Chmura, Bożena Sowa and Tetiana Vlasenko
Sustainability 2026, 18(2), 1114; https://doi.org/10.3390/su18021114 - 21 Jan 2026
Viewed by 256
Abstract
This study investigates the structural evolution and projected trajectory of greenhouse gas (GHG) emissions across the EU27 from 1990 to 2030, with a particular focus on their implications for the effectiveness of European climate policy. Drawing on official sectoral data and employing a [...] Read more.
This study investigates the structural evolution and projected trajectory of greenhouse gas (GHG) emissions across the EU27 from 1990 to 2030, with a particular focus on their implications for the effectiveness of European climate policy. Drawing on official sectoral data and employing a multi-method framework combining time series modelling (ARIMA), machine learning (Random Forest), regime-switching analysis, and segmented linear regression, we assess past dynamics, detect structural shifts, and forecast future trends. Empirical findings, based on Markov-switching models and segmented regression analysis, indicate a statistically significant regime change around 2014, marking a transition to a new emissions pattern characterised by a deceleration in reduction rates. While the energy sector experienced the most significant decline, agriculture and industry have gained relative prominence, underscoring their growing strategic importance as targets for policy interventions. Hybrid ARIMA–ML forecasts indicate that, under current trajectories, the EU is unlikely to meet its 2030 Fit for 55 targets without adaptive and sector-specific interventions, with a projected shortfall of 12–15 percentage points relative to 1990 levels, excluding LULUCF. The results underscore critical weaknesses in the EU’s climate policy architecture and reveal a clear need for transformative recalibration. Without accelerated action and strengthened governance mechanisms, the post-2014 regime risks entrenching a plateau in emissions reductions, jeopardising long-term climate objectives. Full article
(This article belongs to the Section Air, Climate Change and Sustainability)
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