Previous Issue
Volume 18, May-2
 
 
sustainability-logo

Journal Browser

Journal Browser

Sustainability, Volume 18, Issue 11 (June-1 2026) – 35 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Section
Select all
Export citation of selected articles as:
19 pages, 2590 KB  
Article
An AOD-Integrated Remote Sensing Ecological Index for Assessing Ecological Quality Dynamics and Management Zoning in the Shenyang Metropolitan Area (2000–2025)
by Tuo Shi, Fangyuan Li, Mingyu Wang, Chunjiao Li, Li Qi, Yuzhu Dong and Lingxue Hu
Sustainability 2026, 18(11), 5247; https://doi.org/10.3390/su18115247 (registering DOI) - 22 May 2026
Abstract
To better capture ecological quality under aerosol pollution stress, an AOD-integrated Remote Sensing Ecological Index (ARSEI) was developed for the Shenyang Metropolitan Area (2000–2025). Using Google Earth Engine, multi-source MODIS products were compiled to generate an annual growing-season ARSEI through PCA, combining PC1 [...] Read more.
To better capture ecological quality under aerosol pollution stress, an AOD-integrated Remote Sensing Ecological Index (ARSEI) was developed for the Shenyang Metropolitan Area (2000–2025). Using Google Earth Engine, multi-source MODIS products were compiled to generate an annual growing-season ARSEI through PCA, combining PC1 and PC2 by variance-weighted contributions. Long-term trends were assessed with Theil–Sen slope estimation and the Mann–Kendall test, future persistence with the Hurst index, and drivers with an optimal parameter geographical detector. ARSEI closely matched conventional RSEI in multi-year pixel means (R2 = 0.98, p < 0.001) but identified larger “poor” (+0.4%) and “moderate” (+3.4%) areas from 2000 to 2025, indicating higher sensitivity to pollution-related stress. Ecological quality improved overall, with high grades in eastern mountainous forests and low grades in the central built-up core and surrounding croplands. Improvement was dominant (31.08% significant, 38.27% slight), while degradation was limited (4.27% significant, 13.92% slight) and concentrated in peri-urban expansion belts. Elevation was the strongest natural control, whereas land use and population were the leading socioeconomic drivers with increasing influence over time. Finally, we delineated differentiated management zones based on current status and projected trajectories to support targeted regional governance. Full article
(This article belongs to the Section Environmental Sustainability and Applications)
28 pages, 693 KB  
Article
Determinants of Employment in the Digital Economy: Evidence from EU Countries with Implications for Inclusive Labour Market and Sustainable Development
by Olena Ivashko, Iryna Tsymbaliuk, Nataliia Pavlikha, Kamila Ćwik and Piotr Czarnecki
Sustainability 2026, 18(11), 5246; https://doi.org/10.3390/su18115246 (registering DOI) - 22 May 2026
Abstract
This study examines the impact of digitalisation, innovation activity, demographic factors, and macroeconomic variables on employment in European Union countries within the framework of sustainable development. The empirical analysis is based on Eurostat panel data for 2015–2023 and applies regression analysis to identify [...] Read more.
This study examines the impact of digitalisation, innovation activity, demographic factors, and macroeconomic variables on employment in European Union countries within the framework of sustainable development. The empirical analysis is based on Eurostat panel data for 2015–2023 and applies regression analysis to identify the key determinants of employment. The results indicate that digitalisation demonstrates the strongest positive statistical association with employment, confirming its important role in labour market transformation and inclusive economic development. Expenditures on research and development also show a positive effect, highlighting the significance of innovation activity for employment growth. At the same time, GDP per capita does not exhibit a statistically significant relationship with employment, while education expenditure demonstrates a negative short-term effect. The findings suggest that digitalisation and innovation contribute not only to employment growth but also to the expansion of labour market participation opportunities for diverse social groups. The study contributes to the analysis of SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), and SDG 10 (Reduced Inequalities) by identifying the structural factors associated with employment dynamics in the digital economy. Full article
25 pages, 5919 KB  
Article
Groundwater Springs in Young Glacial Areas and Their Role in Sustainable Environmental Development (Case Study—North Poland)
by Izabela Chlost, Stanisław Chmiel, Roman Cieśliński, Joanna Fac-Beneda, Ivan Kirvel and Alicja Olszewska
Sustainability 2026, 18(11), 5245; https://doi.org/10.3390/su18115245 - 22 May 2026
Abstract
This article presents the results of a field study conducted in 2022 on groundwater outflows located at the edge of the Kashubian Lake District and the Reda-Łeba Proglacial Stream Valley in northern Poland. The recharge of numerous springs was found to occur from [...] Read more.
This article presents the results of a field study conducted in 2022 on groundwater outflows located at the edge of the Kashubian Lake District and the Reda-Łeba Proglacial Stream Valley in northern Poland. The recharge of numerous springs was found to occur from the first aquifer, locally supported by a deeper aquifer connected to the first one near the bowl of Lubowidzkie Lake. Groundwater drainage occurs by gravity. It is relatively abundant for young glacial areas and averages 82 dm3·s−1, making the springs capable of acting as a drinking water reservoir. This assessment is based on major ions and nutrients only; microbiological and trace-organic/metal analyses are required before any drinking-water designation. Spring water is important in the lake’s supply, accounting for 18.0% of the total inflow to the basin. The hydrochemical characteristics of these waters keep the lake in ecological balance. The waters from the springs are characterized by little variation in chemical composition, with the Ca-HCO3 hydrochemical type. They represent young infiltration waters associated with direct recharge from precipitation (the average age of the water is 60 years). Currently, low nitrate and chloride suggest limited agricultural and urban influence, but phosphate levels and observed human activities warrant caution. Forest management is gradually developing in its catchment, which may result in a reduction of the spring yield and a deterioration of their quality in the future. This may result in a disturbance of the hydrological balance of structures hydraulically connected to spring recharge and to groundwater inflow (river, lake). Although the springs studied are local hydrological phenomena, their functioning and the need for protection are closely linked to global challenges in the field of sustainable development. This primarily concerns the protection of groundwater-dependent ecosystems and, more broadly, water security and increased resilience to climate change. Full article
Show Figures

Figure 1

16 pages, 866 KB  
Article
Demographic Change, Socio-Economic Disparity, and Labour Market Structure in Amasya Province, Türkiye: A Planning-Oriented Assessment Toward 2035
by Mehmet Reha Özder and Mustafa Ergen
Sustainability 2026, 18(11), 5244; https://doi.org/10.3390/su18115244 - 22 May 2026
Abstract
Urban development in medium-sized provinces is increasingly influenced by the interplay of demographic change, socio-economic disparity, and labour market structure. However, these dimensions are frequently examined in isolation, which limits their utility for integrated regional planning. This study offers a planning-oriented assessment of [...] Read more.
Urban development in medium-sized provinces is increasingly influenced by the interplay of demographic change, socio-economic disparity, and labour market structure. However, these dimensions are frequently examined in isolation, which limits their utility for integrated regional planning. This study offers a planning-oriented assessment of Amasya Province, Türkiye, by integrating population projections, district-level socio-economic disparity analysis, and labour market indicators to evaluate the province’s developmental trajectory toward 2035. The study utilizes official population data for 2007–2024, district-level socio-economic status scores for 2023, and provincial labour market indicators. Linear trend projection and compound annual growth rate analysis were employed to estimate population change, while the Gini coefficient, Theil index, and coefficient of variation were used to assess intra-provincial socio-economic disparities. Labour market performance was evaluated through participation, employment, unemployment, and employment-to-participation efficiency indicators. The results indicate that Amasya is projected to experience a moderate population increase, reaching approximately 350,118 inhabitants by 2035. Growth is anticipated to remain concentrated primarily in the Central District and Merzifon, while socio-economic advantages also exhibit a central–peripheral pattern. Labour market indicators suggest relatively stable employment performance, although more detailed sectoral, gender, and age-specific analyses are necessary for more robust conclusions. The study contributes an integrated framework for linking demographic projection, socio-economic hierarchy, and labour market capacity in medium-sized provincial planning. The findings suggest that future planning should focus on managing growth in central districts while supporting balanced development in peripheral districts. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
30 pages, 66025 KB  
Article
Investigation of Balıkesir Sındırgı Granaries in the Context of Sustainable Conservation
by Şenay Ekşi and Uzay Yergün
Sustainability 2026, 18(11), 5243; https://doi.org/10.3390/su18115243 - 22 May 2026
Abstract
Traditional wooden granaries in rural Türkiye are disappearing at an accelerating rate due to agricultural abandonment, rural depopulation, and the absence of systematic documentation and conservation frameworks. In the Sındırgı district of Balıkesir, one of the richest concentrations of vernacular granary architecture in [...] Read more.
Traditional wooden granaries in rural Türkiye are disappearing at an accelerating rate due to agricultural abandonment, rural depopulation, and the absence of systematic documentation and conservation frameworks. In the Sındırgı district of Balıkesir, one of the richest concentrations of vernacular granary architecture in the Marmara Region, these structures remain largely unprotected and unstudied within a sustainable design framework, constituting an urgent conservation challenge. This study aims to assess the current preservation status of Sındırgı granaries, classify their typological diversity, and evaluate their sustainability performance against a defined set of ecological design criteria. A mixed methods approach was employed, combining a systematic literature review with extensive fieldwork across 33 neighborhoods. In total, 1411 granaries were identified and grouped into five typologies: evli, Simav, kabak, sandık, and üstü örtülü sandık. These typologies were systematically compared to five parameters: spatial distribution across neighborhoods, plan and section geometry, construction system and structural elements, material selection and condition, and preservation status. This comparison revealed that typological variation is not incidental but directly reflects differences in land ownership, agricultural production capacity, topography, and distance from the district center. Representative examples from each typology were documented through onsite measurements, photogrammetry, technical drawings, and interviews with local craftsmen. The sustainability performance of the granaries was then assessed across seven ecological design criteria: spatial organization, building form design, structural element design, material use and conservation, design with nature, urban design area planning, and nature interaction. The findings demonstrate that the long-term durability of these structures depends on an interrelated system of climate-responsive design decisions rather than any single factor. The study concludes by proposing a holistic conservation model comprising typology-based inventory, roof water moisture-focused intervention, periodic monitoring, and transmission of vernacular building knowledge, a framework applicable to comparable rural granary heritage across the region. Full article
Show Figures

Figure 1

27 pages, 638 KB  
Article
The Impacts of Self-Quantification on Consumers’ Green Behavioral Autonomy and Sustained Willingness from a Social Network Perspective
by Yudong Zhang, Gaojun Hu, Zhenghua Zhang and Shijian Luo
Sustainability 2026, 18(11), 5242; https://doi.org/10.3390/su18115242 - 22 May 2026
Abstract
With the deep integration of network information technology and social platforms, the quantified data sharing of consumers’ green behaviors is reshaping the participation logic of individual and group green consumption. Using a pilot experiment and two scenario-based experiments, this study investigates how self-quantification [...] Read more.
With the deep integration of network information technology and social platforms, the quantified data sharing of consumers’ green behaviors is reshaping the participation logic of individual and group green consumption. Using a pilot experiment and two scenario-based experiments, this study investigates how self-quantification influences consumers’ green behavioral autonomy and sustained willingness under different contextual conditions from a community network perspective. The results indicate that, in promoting goal-oriented green consumption, self-quantification significantly reduces consumers’ green behavioral autonomy by enhancing group identity but does not influence their sustained participation willingness. However, consumers under egoistic goal appeals demonstrate higher behavioral autonomy and sustained participation willingness compared to those under altruistic goal appeals. In defensive goal-oriented green consumption, self-quantification effectively enhances consumers’ green behavioral autonomy by weakening group identity and positively promotes their sustained participation willingness. Nevertheless, consumers under egoistic goal appeals outperform those under altruistic goal appeals in both behavioral autonomy and sustained willingness. This study makes three key contributions: it extends the application boundaries of self-quantification theory, reveals the differential effect mechanisms of self-quantification in community environments, and provides new theoretical perspectives and practical guidance for the sustainable development of green consumption. Full article
Show Figures

Figure 1

23 pages, 3675 KB  
Article
Coupled Trading in the Electricity–Carbon–Certificate Market Under the Carbon Tax Mechanism: Evidence from China
by Lizhi Cui and Qianhui Shi
Sustainability 2026, 18(11), 5241; https://doi.org/10.3390/su18115241 - 22 May 2026
Abstract
The sustainable transition of power systems is currently hindered by fragmented carbon pricing systems and insufficient cross-market synergies. Considering this, we herein construct a system dynamics model of carbon tax regulation under conditions integrating electricity markets, carbon emission trading (CET) markets, and tradable [...] Read more.
The sustainable transition of power systems is currently hindered by fragmented carbon pricing systems and insufficient cross-market synergies. Considering this, we herein construct a system dynamics model of carbon tax regulation under conditions integrating electricity markets, carbon emission trading (CET) markets, and tradable green certificate (TGC) markets using Vensim PLE 7.3.5 software. We also propose a price-matching mechanism and implementation pathway for carbon taxation and CET to advance low-carbon sustainable development. The simulation results show that the introduction of a carbon tax at an initial rate of 50 CNY per ton significantly improves renewable energy investment returns. Moreover, effective coordination between the carbon tax and CET reduces carbon emissions from the power system, delivering benefits in terms of both environmental and socio-economic sustainability. We further identify a dynamic coordination scheme consisting of a carbon tax with an initial rate of 50 CNY per ton, which is appropriate when the CET prices stabilize at approximately 60 CNY per ton. An initial rate of 30 CNY per ton is more suitable when the CET prices rise above 100 CNY per ton. These findings verify the optimal matching rules for carbon tax intensity under different carbon allowance price levels, and they also provide quantitative policy tools and empirical support for the scenario-based regulation of carbon pricing systems to achieve sustainable energy transition goals. Full article
Show Figures

Figure 1

23 pages, 888 KB  
Review
Towards a Circular Automotive Industry: A Scoping Review
by Markus Dusdal, Dafina Bulliqi, Songül Ada Tekin and Christoph Haag
Sustainability 2026, 18(11), 5240; https://doi.org/10.3390/su18115240 - 22 May 2026
Abstract
The transition towards a circular economy (CE) has emerged as a key strategy for promoting sustainable development, particularly in resource-intensive industries. Representing such an industry, the automotive sector offers substantial CE potential. However, its practical implementation remains fragmented, and the theoretical discourse lacks [...] Read more.
The transition towards a circular economy (CE) has emerged as a key strategy for promoting sustainable development, particularly in resource-intensive industries. Representing such an industry, the automotive sector offers substantial CE potential. However, its practical implementation remains fragmented, and the theoretical discourse lacks consistency. This study addresses these gaps through a scoping review. The analysis first identifies key industry-specific research gaps in the CE transition. A subsequent evaluation of practical case studies reveals significant heterogeneity in the implementation of circular practices across companies and value chain positions. In addition, the summary of recommendations from the existing literature provides a structured overview of necessary measures in the areas of management, research, and policy. The results indicate a strong concentration on two CE-related areas: electric vehicle (EV) batteries and recycling strategies, while higher-value circular strategies remain underrepresented. Moreover, the maturity of circular practices varies considerably across value chain actors, with suppliers in particular lagging behind OEMs and downstream actors. Based on these findings, the study critically discusses the roles of industry, research institutions, and policymakers in enabling a more comprehensive and systemic transition towards circularity in the automotive sector. By systematically linking theoretical developments, empirical evidence, and stakeholder-specific implications, the study advances the field of automotive-related CE research. Full article
17 pages, 2163 KB  
Article
How Do Stated Knowledge and Attitudes Influence End-of-Current-Use Disposition of Electronics?
by Payam Saeedi, Willie Cade, Nazeera Jabin, Tae Oh, Stacey Watson and Eric Williams
Sustainability 2026, 18(11), 5239; https://doi.org/10.3390/su18115239 - 22 May 2026
Abstract
When finished with an electronic device, consumers choose between storing, recycling, giving away, trading-in, reselling, or throwing it away. This choice has environmental and data privacy implications, e.g., reuse of devices is generally environmentally preferable to recycling, which is better than throwing away [...] Read more.
When finished with an electronic device, consumers choose between storing, recycling, giving away, trading-in, reselling, or throwing it away. This choice has environmental and data privacy implications, e.g., reuse of devices is generally environmentally preferable to recycling, which is better than throwing away in the trash. Through a survey of 4000 U.S. consumers and regression analysis, this study analyzes how stated attitude and knowledge connect to consumers’ previous and planned disposition choices. The binomial regression model (pseudo-R2=13%) models the decision to store or not store a device. Important factors leading to increased likelihood of storing are data security concerns when recycling (+14%) or reselling (+9%), lack of knowledge of recycling (+10%), and wanting a backup of data (+11%). Notably, data security concerns when recycling or reselling were significant for past behavior, but not for intended behavior. This suggests consumers take data security more seriously when faced with the actual disposition decision. Multinomial regression (pseudo-R2=15%) is used to model which non-storage option is chosen. Knowledge of (+47%) and perceived convenience (+9%) of recycling programs were important in consumers choosing to recycle, reselling of devices was strongly influenced by knowledge of reuse markets. Full article
26 pages, 5167 KB  
Article
Natural Endowments and Planning Interventions: The Spatio-Temporal Evolution and Policy Drivers of Urban Park Distribution in Shenzhen
by Xinyu Liu, Cong Sun, Yu Tian and Dianyuan Zheng
Sustainability 2026, 18(11), 5238; https://doi.org/10.3390/su18115238 - 22 May 2026
Abstract
Research traditionally examines the spatial distribution of urban parks through the lens of spatial equity, overlooking the intricate interaction between the physical foundation of park construction and historical processes. Grounded in the theory of material geography, we investigate the mechanisms underlying the spatio-temporal [...] Read more.
Research traditionally examines the spatial distribution of urban parks through the lens of spatial equity, overlooking the intricate interaction between the physical foundation of park construction and historical processes. Grounded in the theory of material geography, we investigate the mechanisms underlying the spatio-temporal evolution of urban parks in Shenzhen. We conduct topographical analysis and examine relevant historical policy texts to explore the ‘production of nature’ in China’s post-Mao urbanisation. We find that the distribution of urban parks in Shenzhen is not merely a result of social choice but a product of the interplay between material natural endowments—centred on topography—and urban spatial policies across historical stages. During rapid urbanisation, government-led spatial policies functionally reorganised and assigned symbolic meanings to diverse topographical features, such as plains, hills, and coastal areas, transforming them into urban parks that support capital accumulation and urban upgrading. The proposed ‘topography–policy’ synergistic framework transcends neutral spatial descriptions, revealing the nexus between the commodification of nature and urban governance. We clarify the rationale for the creation of contemporary urban green spaces in China and offer novel theoretical and empirical insights into sustainable urban transformation worldwide. Full article
(This article belongs to the Section Social Ecology and Sustainability)
Show Figures

Figure 1

30 pages, 1663 KB  
Article
Impact of Digital Innovation on Regional Synergistic High-Quality Development
by Xiaoyuan Qi
Sustainability 2026, 18(11), 5237; https://doi.org/10.3390/su18115237 - 22 May 2026
Abstract
Digital innovation constitutes the core determinant of sustainable digital transformation and functions as a pivotal driver of regional high-quality economic development. As a strategic node in China’s urban agglomeration framework, the Guangdong–Fujian–Zhejiang Coastal Urban Agglomeration plays a critical role in regional synergistic high-quality [...] Read more.
Digital innovation constitutes the core determinant of sustainable digital transformation and functions as a pivotal driver of regional high-quality economic development. As a strategic node in China’s urban agglomeration framework, the Guangdong–Fujian–Zhejiang Coastal Urban Agglomeration plays a critical role in regional synergistic high-quality development. This study examines how digital innovation impacts the coupling coordination of high-quality development in the urban agglomeration. The results show: (1) Synergistic high-quality development shows a steady downward trend in the research region with substantial coordination potential. (2) “Gradient disparity” exists, primarily driven by inter-regional Gini coefficient contributions. (3) Overall coupling coordination remains at the antagonistic stage with significant convergence tendencies. (4) Lack of robust central city and centripetal force hinders effective spatial radiation. Driven by the core-periphery spatial differentiation, the short-run dominance of digital innovation’s polarization effect undermines the coordination level of urban agglomerations through scale expansion, structural optimization, and technological empowerment. It requires vigilance against Yangtze and Pearl River Delta siphoning effects. This study provides theoretical and practical implications for promoting digitally driven, synergistic, sustainable, and balanced high-quality development, as well as for optimizing policy frameworks in the new era. Full article
36 pages, 2344 KB  
Article
Research on Green Supply Chain Investment Strategies Considering Multi-Dimensional Consumer Preferences and Distrust Under Government Intervention
by Ruijie Zhang and Chao Liu
Sustainability 2026, 18(11), 5236; https://doi.org/10.3390/su18115236 - 22 May 2026
Abstract
To address the “greenwashing” trust crisis induced by information asymmetry in sustainable supply chains, this study develops a comprehensive game-theoretic model integrating Stackelberg and evolutionary game theories (EGT). We quantitatively investigate the dynamic interactions among multi-dimensional consumer preferences, blockchain implementation costs, and boundedly [...] Read more.
To address the “greenwashing” trust crisis induced by information asymmetry in sustainable supply chains, this study develops a comprehensive game-theoretic model integrating Stackelberg and evolutionary game theories (EGT). We quantitatively investigate the dynamic interactions among multi-dimensional consumer preferences, blockchain implementation costs, and boundedly rational government interventions. Our analysis yields three core contributions. First, we analytically reveal the “double-edged sword effect” of blockchain adoption. While structural transparency unlocks a trust dividend, exorbitant technological costs trigger a “budget crowding-out effect.” Quantitative results demonstrate that breaching the absolute Feasibility Threshold completely cannibalizes the environmental budget, driving substantive green investments strictly to zero. Second, EGT analysis proves that isolated punitive carbon taxes trap supply chains in a suboptimal “shallow greening” equilibrium. A composite tax-subsidy policy is structurally required to expand the feasible cost space and hedge against technological risks. Finally, we formulate a dynamic policy exit mechanism. As blockchain infrastructure matures and the endogenous green premium effectively offsets implementation costs, regulators must systematically phase out subsidies and converge toward a single-taxation regime to prevent corporate policy arbitrage and alleviate long-term public financial burdens. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
15 pages, 606 KB  
Article
Dynamic Relationships in Circular Economy Systems: An Integrated Perspective of Resource-Based View, Stakeholder Theory, and System Dynamics
by Mei-Hsiang Tsai, Wei-Hung Chen and Chun-Tai Wang
Sustainability 2026, 18(11), 5235; https://doi.org/10.3390/su18115235 - 22 May 2026
Abstract
As global resource depletion and environmental challenges continue to intensify, the circular economy has emerged as a critical strategy for firms pursuing sustainable development. This study integrates the perspectives of circular economy, the resource-based view (RBV), and stakeholder theory, and incorporates a system [...] Read more.
As global resource depletion and environmental challenges continue to intensify, the circular economy has emerged as a critical strategy for firms pursuing sustainable development. This study integrates the perspectives of circular economy, the resource-based view (RBV), and stakeholder theory, and incorporates a system dynamics approach to construct a causal feedback model of circular economy systems. First, through a comprehensive literature review and systems thinking, this study develops a causal loop diagram (CLD) that captures the dynamic interactions among key elements, including firms, resources, design, products, consumers, recycling, and waste, thereby illustrating the underlying mechanisms of circular economy operations. Subsequently, the CLD is transformed into a structural equation model (SEM), and empirical analysis is conducted using 134 valid questionnaire responses. The results indicate that significant and positive causal relationships exist among the constructs. In particular, resource-based design advantage is identified as the core driving factor of the system, influencing waste reduction through circular recycling and resource circulation mechanisms. Moreover, the interaction between reinforcing feedback loops and balancing feedback loops forms a dynamic equilibrium within the circular economy system. The findings not only validate the theoretical framework of circular economy systems but also provide practical implications for firms in terms of resource allocation, product design, and recycling management, thereby facilitating resource circulation and sustainable development. Full article
(This article belongs to the Special Issue Advancing Sustainable Resources Management)
Show Figures

Figure 1

28 pages, 327 KB  
Article
How Data Trading Platforms Empower New Forms of Digital Tourism in China: A Causal Inference Based on Double/Debiased Machine Learning
by Qi Huang, Shanni Ye, Yongqiang Wang and Jielong Huang
Sustainability 2026, 18(11), 5234; https://doi.org/10.3390/su18115234 - 22 May 2026
Abstract
As the “fifth major factor of production,” data plays a crucial role in fostering China’s tourism industry, advancing high-quality economic development, and gaining competitive market advantages. Serving as institutional infrastructure for data factor rights confirmation, pricing, trading, and value conversion, data trading platforms [...] Read more.
As the “fifth major factor of production,” data plays a crucial role in fostering China’s tourism industry, advancing high-quality economic development, and gaining competitive market advantages. Serving as institutional infrastructure for data factor rights confirmation, pricing, trading, and value conversion, data trading platforms are central to the market-based allocation of data factors. The efficient flow and value realization of data elements have paved the way for the rapid development of digital tourism; new forms of digital tourism represent a profound transformation of the industry resulting from integration and innovation with other sectors. Based on the platform ecosystem theory, we select the panel data of 297 Chinese cities from 2012 to 2024 and innovatively use the Double/Debiased Machine Learning (DDML) model to empirically test the impact of data trading platforms on the new forms of digital tourism and its mechanisms. It is found that the construction of data trading platforms effectively empowers the development of new forms of digital tourism, and this conclusion still holds after a series of robustness tests, such as changing the sample split ratio, replacing the machine learning algorithm, and the instrumental variables method. Mechanism analysis indicates that data trading platforms significantly promote new forms of digital tourism through dual pathways of talent agglomeration and technological innovation, an effect further strengthened by increased government support. Heterogeneity analysis found that the empowerment effect is more significant in cities with lower resource endowment and common administrative level and historical cities, which can be effectively transformed into an employment support effect. Spatial effect analysis reveals that the establishment of data trading platforms exerts a positive pull effect on new forms of tourism in surrounding cities within a 30 km core zone. However, this effect gradually weakens with increasing distance, turning into a significant negative siphon effect beyond 60 km. The findings provide theoretical basis and empirical support for regionally differentiated digital tourism development policies. Full article
(This article belongs to the Section Tourism, Culture, and Heritage)
32 pages, 771 KB  
Article
The Effect of Agricultural New Quality Productivity on Agricultural Carbon Emission Reduction: A Dual Perspective Based on Technological Innovation and Factor Efficiency
by Baoshuo Li, Ya Cheng and Pan Pan
Sustainability 2026, 18(11), 5233; https://doi.org/10.3390/su18115233 - 22 May 2026
Abstract
Promoting low-carbon agricultural development has become increasingly important in the context of climate change and sustainable development. Using panel data for 30 provincial-level regions in China from 2012 to 2023, this study employs a two-way fixed-effects model to examine the effect of agricultural [...] Read more.
Promoting low-carbon agricultural development has become increasingly important in the context of climate change and sustainable development. Using panel data for 30 provincial-level regions in China from 2012 to 2023, this study employs a two-way fixed-effects model to examine the effect of agricultural new quality productivity (ANQP) on total agricultural carbon emissions (TACE) and the channels through which this effect operates. The results show that ANQP significantly reduces TACE. Mechanism analysis further indicates that this effect operates mainly through agricultural technological innovation, higher rural labor productivity, and improved agricultural land productivity. In addition, the carbon-reduction effect of ANQP displays significant regional heterogeneity and is stronger in the central and western regions, major grain-producing areas, and regions with relatively weak digital infrastructure. Overall, this study provides new empirical evidence on the environmental implications of ANQP and clarifies the conditions and channels through which productivity upgrading can contribute to low-carbon agricultural transformation. Full article
Show Figures

Figure 1

20 pages, 851 KB  
Article
Exploring the Path of Industrial Transformation for Resource-Based Regions in China: A Three-Dimensional Analytical Framework from Cross-Regional Perspectives
by Donghui Li, Luyin Qiao and Zhenfang Zhang
Sustainability 2026, 18(11), 5232; https://doi.org/10.3390/su18115232 - 22 May 2026
Abstract
Industrial transformation in resource-based regions (RBRs) is a global challenge. Shanxi is a typical resource-based province in China. The long-term exploitation of coal resources has posed huge challenges to its ecological protection and high-quality development. Breaking away from the single-city perspective, this study [...] Read more.
Industrial transformation in resource-based regions (RBRs) is a global challenge. Shanxi is a typical resource-based province in China. The long-term exploitation of coal resources has posed huge challenges to its ecological protection and high-quality development. Breaking away from the single-city perspective, this study focuses on the regional scale and comparative analysis and attempts to construct a novel three-dimensional analytical framework, namely, “industrial characteristics, industrial layout, and industrial policies”, to explore the industrial transformation path of typical RBRs. The results indicate the following: (1) Shanxi does not have obvious advantages in terms of resource endowment, with a severely heavy industrial structure and strategic emerging industries still in the initial stage of development. At the national strategic level, it is still necessary to strengthen the application of the “pioneer and pilot” policies and mechanisms for innovation. (2) In the context of high-quality development, Shanxi needs to clarify the industrial transformation orientation. For agriculture, the focus should be placed on characteristic and efficient development. For industrial development, priority should be given to upgrading advantageous industries and cultivating emerging industries. For the tertiary industry, it is necessary to form a development pattern of “new producer services + characteristic tourism”. In terms of regional development layout, Shanxi should establish a macro-pattern to promote inter-regional coordinated development. (3) In the new period, Shanxi should accelerate the construction of transportation systems to improve the convenience of inter-regional cooperation. It is essential to increase investment in education and scientific research so as to enhance the overall social innovation capacity. Meanwhile, differentiated regional development policies should be adequately supplied to drive the high-quality evolution of local industries. Focusing on the regional scale, the new logical analysis paradigm can provide theoretical references for RBRs to clarify the direction of industrial transformation and formulate transformation policies. Full article
31 pages, 511 KB  
Article
Gen Z Characteristics and Sustainable Consumption: Bridging the Intention–Behavior Gap
by Dimitrios Theocharis, Georgios Tsekouropoulos, Greta Hoxha and Ioanna Simeli
Sustainability 2026, 18(11), 5231; https://doi.org/10.3390/su18115231 - 22 May 2026
Abstract
Generation Z, a cohort defined by digital connectivity, sensitivity to social influence, and environmental awareness, has attracted considerable scholarly attention in sustainable consumption research. Yet a persistent gap between their expressed pro-sustainability attitudes and actual purchasing decisions remains well-documented. This study examines whether [...] Read more.
Generation Z, a cohort defined by digital connectivity, sensitivity to social influence, and environmental awareness, has attracted considerable scholarly attention in sustainable consumption research. Yet a persistent gap between their expressed pro-sustainability attitudes and actual purchasing decisions remains well-documented. This study examines whether Gen Z characteristics help bridge that gap by directly influencing sustainable purchase behavior and by moderating the role of purchase intention in that process. A quantitative design was employed using survey responses from 302 Gen Z consumers. The findings suggest that while Gen Z characteristics significantly predicted actual sustainable purchasing and purchase intention exerted a positive direct effect, the interaction between the two was negative and statistically significant. Conditional effects analysis further revealed that the influence of generational characteristics on purchasing behavior is stronger at lower levels of purchase intention and progressively weaker as intention increases. These results suggest that traits such as digital responsiveness, social embeddedness, and environmental orientation do not merely reinforce existing intentions but appear to compensate for their absence, activating sustainability-aligned behavior even when motivational commitment is limited. The study repositions the intention–behavior gap among Gen Z as something modulated by generational characteristics that drive purchasing behavior when intention alone falls short. Full article
(This article belongs to the Section Sustainable Management)
40 pages, 5110 KB  
Article
Revealing the Co-Creation Mechanism of Tourists Supporting the Sustainable Development of Rural Art Tourism Through a Hybrid Model of PLS-SEM and ANN
by Bin Zhao, Shijin Cui and Xuesong Cheng
Sustainability 2026, 18(11), 5230; https://doi.org/10.3390/su18115230 (registering DOI) - 22 May 2026
Abstract
Rural land art festivals serve as an important practical vehicle for integrating urban and rural culture and tourism. They constitute a crucial component of rural tourism in China and play a key role in the sustainable development of rural areas. However, in practice, [...] Read more.
Rural land art festivals serve as an important practical vehicle for integrating urban and rural culture and tourism. They constitute a crucial component of rural tourism in China and play a key role in the sustainable development of rural areas. However, in practice, these festivals are generally confronted with the dilemma of superficial tourist participation and insufficient sustainability. This study aims to uncover the intrinsic psychological evolution mechanism underlying tourists’ responses to external stimuli and their value co-creation. The S-O-R model and the two-factor theory are integrated to construct an analytical framework: “external stimulus–psychological sequence–behavioral response.” Using “Modern Fields” as the case study and 437 valid data points, an empirical analysis is conducted with PLS-SEM and artificial neural networks (ANNs). The results indicate that tourist participation is directly driven by destination quality. Content stickiness exerts an indirect influence through perceived value. Perceived value facilitates value co-creation only when it is fully mediated by tourist participation. The path from participation to co-creation is significantly strengthened by restorative environmental perception. A multi-group analysis further reveals that inexperienced tourists exhibit a “stimulus-driven” characteristic, whereas experienced tourists follow a “value internalization” path. The ANN analysis further shows that the strongest nonlinear predictive power for co-creation behavior is held by restorative environmental perception. A significant direct nonlinear effect is also exerted by destination quality. The evolutionary nodes and boundary conditions of tourists’ psychological sequence during this process are revealed. The boundary effect of restorative environmental perception as a catalyst for rural art tourism is demonstrated. A theoretical basis and practical insights are thereby provided for the segmented operation and sustainable development of these activities. Full article
Show Figures

Figure 1

17 pages, 18569 KB  
Article
A MOF-Derived Trimetallic Phosphide Bifunctional Electrocatalyst for Efficient Overall Water Splitting
by Xinchuan Ma, Xinmei Shi, Xin Wen, Chunhong Liu, Xue Luo, Huizhen Wang and Lan Ma
Sustainability 2026, 18(11), 5229; https://doi.org/10.3390/su18115229 (registering DOI) - 22 May 2026
Abstract
Developing bifunctional non-noble metal electrocatalysts with high activity, stability, and cost-effectiveness is essential for large-scale sustainable water splitting, yet remains challenging. Herein, 2P-FeCoNi-MOF was synthesized via hydrothermal reaction of FeCoNi-LDH followed by phosphidation. Its layered structure, integrated with 3D nickel foam, creates a [...] Read more.
Developing bifunctional non-noble metal electrocatalysts with high activity, stability, and cost-effectiveness is essential for large-scale sustainable water splitting, yet remains challenging. Herein, 2P-FeCoNi-MOF was synthesized via hydrothermal reaction of FeCoNi-LDH followed by phosphidation. Its layered structure, integrated with 3D nickel foam, creates a hierarchical porous architecture that increases surface area and accelerates electron transport. Synergistic effects among Fe, Co, Ni in the trimetallic phosphides, together with an amorphous carbon layer, boost catalytic performance. Moreover, superhydrophilic and superaerophobic surfaces enhance mass transfer. In 1 M KOH, 2P-FeCoNi-MOF achieves low overpotentials of 70 mV for HER and 225 mV for OER at 10 mA cm−2, with excellent stability for 100 h at 100 mA cm−2. For the overall water splitting, it requires only 1.54 V to reach 10 mA cm−2 and maintains stability for 100 h at 100 mA cm−2. Therefore, this study provides a new approach for the preparation of high-performance self-supported non-noble metal-based electrocatalysts for water splitting. Full article
Show Figures

Figure 1

25 pages, 834 KB  
Article
Social Insurance Contribution Enforcement and Corporate Tax Avoidance: Evidence from China’s Tax Collection Reform
by Weichen Xu, Igor A. Mayburov and Tianyou Li
Sustainability 2026, 18(11), 5228; https://doi.org/10.3390/su18115228 - 22 May 2026
Abstract
This study examines whether stricter enforcement of mandatory social insurance contributions affects corporate income tax behavior in China. In the Chinese institutional context, mandatory social insurance refers to payroll-based employer and employee contributions to five statutory programs: basic pension insurance, basic medical insurance, [...] Read more.
This study examines whether stricter enforcement of mandatory social insurance contributions affects corporate income tax behavior in China. In the Chinese institutional context, mandatory social insurance refers to payroll-based employer and employee contributions to five statutory programs: basic pension insurance, basic medical insurance, work-injury insurance, unemployment insurance, and maternity insurance. These programs are directly related to social sustainability because they finance old-age income security, medical protection, workplace injury compensation, unemployment support, maternity protection, and labor-market stability. Using China’s 2018 social insurance collection reform as a quasi-natural experiment, we analyze A-share listed companies from 2014 to 2024 through a difference-in-differences design based on differential exposure between private firms and state-owned enterprises. To assess the reliability of the identification strategy, we employ firm and year fixed effects, event-study analysis, placebo tests, alternative measures of tax avoidance, and propensity score matching difference-in-differences robustness checks. The findings show a tax-fee seesaw effect: private firms subject to extensive regulatory scrutiny respond to more rigorous enforcement of social insurance contributions by increasing corporate income tax avoidance. Analysis of the mechanisms shows that the Whited-Wu index of financial constraints partially explains this phenomenon. The effect is more pronounced in firms with higher labor costs and greater administrative expense intensity, indicating that the increased response is driven by labor cost exposure and organizational discretion. By contrast, the effect is weaker among firms audited by the Big Four accounting networks—Deloitte, PricewaterhouseCoopers, Ernst & Young, and KPMG—indicating that high-quality external audits constrain aggressive tax planning. Regionally, the effect is most pronounced in eastern China, where markets, labor costs, and tax-planning services are more developed. The findings contribute to the sustainable development literature by demonstrating that reforms designed to strengthen social insurance sustainability can unintentionally weaken tax compliance if payroll contributions, tax administration, and corporate financial pressures are not coordinated. The study highlights the importance of integrated fiscal governance for achieving socially sustainable and fiscally balanced development. Full article
36 pages, 1230 KB  
Article
The Application of Ethnic Group Ecological Protection Customary Laws and Their Derivative Models in Global Biodiversity Conservation—Taking the Cases of the Miao, Tao, and Maasai Ethnic Groups as Examples
by Teng-Fei Ma, Tseng-Wei Chao and Chang-Wei Chai
Sustainability 2026, 18(11), 5227; https://doi.org/10.3390/su18115227 - 22 May 2026
Abstract
Biodiversity, as the foundation of life on Earth, sustains the balance of ecosystems and supports human sustainable development. However, the current accelerated decline in biodiversity poses ecological threats that require urgent attention. This research based on the perspective of ethnic ecological wisdom, explores [...] Read more.
Biodiversity, as the foundation of life on Earth, sustains the balance of ecosystems and supports human sustainable development. However, the current accelerated decline in biodiversity poses ecological threats that require urgent attention. This research based on the perspective of ethnic ecological wisdom, explores the customary practices of biological conservation among the Miao ethnic group in Southwest China, the Tao ethnic group on Orchid Island (Lanyu), Taiwan, and the Maasai ethnic group on the East African Plateau. By conducting in-depth case studies, combined with literature review and data validation, it investigates their practical value and implementation pathways in biodiversity conservation. By analyzing the ecological conservation wisdom models of the Miao, Tao and Maasai ethnic groups, it is found that the core species populations in each region have shown a positive growth trend since the gradual integration of traditional ethnic customary laws with modern ecological protection systems and practices. Drawing on the extensive experience accumulated in integrating customary law into ecological governance across the three cases, this study proposes a three-dimensional optimization pathway: at the policy level, construct a mechanism integrating customary law and diversified ecological compensation; at the community level, implement a model featuring benefit sharing, patrol mediation and digital management; and at the cultural level, strengthen the development and dissemination of ethnic ecological conservation wisdom through multidisciplinary talent training and IP-based communication of exemplary customary law outcomes. We aspire to slow the rate of global biodiversity loss and achieve a bright future of harmonious coexistence between humans and nature. Full article
(This article belongs to the Section Sustainability, Biodiversity and Conservation)
22 pages, 1743 KB  
Article
Sub-National SDG Progress and Spatial Inequality: A Composite Index Framework for Multi-Level Governance
by Hasan Tutar and Grigorios L. Kyriakopoulos
Sustainability 2026, 18(11), 5226; https://doi.org/10.3390/su18115226 - 22 May 2026
Abstract
Despite extensive global progress monitoring under the 2030 Agenda, existing Sustainable Development Goal (SDG) assessment frameworks remain structurally blind to within-country distributional disparities. This study addresses this gap by developing a methodologically transparent composite SDG index for multi-level governance assessment, applying it to [...] Read more.
Despite extensive global progress monitoring under the 2030 Agenda, existing Sustainable Development Goal (SDG) assessment frameworks remain structurally blind to within-country distributional disparities. This study addresses this gap by developing a methodologically transparent composite SDG index for multi-level governance assessment, applying it to 218 Nomenclature of Territorial Units for Statistics (NUTS 2) regions across the European Union over the period 2015–2022 (1744 region-year observations). In this context, the term “region-year observations” refers strictly to the balanced panel data structure, which is calculated by observing 218 distinct sub-national regions continuously over an 8-year period (218 regions × 8 years The index aggregates four dimensions—social, economic, educational, and institutional—using min-max normalization. The analysis yields three main results: (1) Spatial econometric analysis reveals strong, persistent positive spatial autocorrelation, with high-performing clusters concentrated in Northern and Western Europe and lagging clusters in Eastern and Southern peripheries. (2) A spatial error model identifies institutional governance quality as a consistent statistical predictor of sub-national SDG performance. The significance of the spatial error parameter (λ = 0.497) suggests that unobservable institutional and geographical common shocks systematically link neighboring regions. (3) Cluster analysis further distinguishes four regional archetypes: Disadvantaged, Leaders, Educated, and Transitional. These findings underscore the need for spatially aware SDG monitoring infrastructure and investment in institutional capacity as prerequisites for equitable governance, as integrating spatial dependencies is crucial to prevent national averages from masking severe regional developmental traps. Full article
Show Figures

Figure 1

30 pages, 834 KB  
Article
From Perceived Value to Advocacy: How Customer Experience, Loyalty, and Trust Shape Sustainable Mobile Payment Consumption
by Rayan Al Haress and Asieh AkhlaghiMofrad
Sustainability 2026, 18(11), 5225; https://doi.org/10.3390/su18115225 - 22 May 2026
Abstract
Mobile payment services are increasingly embedded in everyday digital consumption, yet their sustainability relevance should not be assumed solely from technological adoption. This study conceptualizes sustainable mobile payment consumption as a relational and digital sustainability issue, reflected in the continuity, trust, diffusion, and [...] Read more.
Mobile payment services are increasingly embedded in everyday digital consumption, yet their sustainability relevance should not be assumed solely from technological adoption. This study conceptualizes sustainable mobile payment consumption as a relational and digital sustainability issue, reflected in the continuity, trust, diffusion, and resilience of mobile payment ecosystems rather than as a direct measure of environmental sustainability. Drawing on perceived value theory, relationship marketing, social exchange theory, and trust-based consumption logic, this study examines how mobile payment perceived value (MPPV) is associated with customer advocacy through customer experience and customer loyalty, while considering customer trust as a boundary condition. Survey data collected from 382 mobile payment users in Lebanon were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings suggest that MPPV is positively associated with customer experience, customer loyalty, and customer advocacy. Customer experience is positively associated with loyalty while loyalty is positively associated with advocacy. The sequential mediation results are consistent with the proposed relational pathway in which holistic perceived value is linked to advocacy through experience and loyalty rather than through transactional evaluations alone. Customer trust strengthens the associations between MPPV and both loyalty and advocacy, suggesting that trust amplifies value-based relational outcomes in high-uncertainty financial environments. The central finding is that holistic perceived value becomes sustainability-relevant when channeled through accumulated experience and loyalty into advocacy, and that this relational pathway is contingent on trust, a mechanism particularly consequential in Lebanon’s high-uncertainty financial environment. By positioning advocacy as a sustainability-relevant relational outcome, this study clarifies how perceived value, experience, loyalty, and trust jointly contribute to sustainable digital consumption in an emerging economy. Full article
Show Figures

Figure 1

27 pages, 5694 KB  
Article
Experimental and Numerical Analysis of a Small-Scale Desalination System Using Humidification–Dehumidification Fed by Linear Fresnel Concentration
by Brayan Eduardo Tarazona-Romero, Álvaro Campos-Celador, Yecid Muñoz-Maldonado, Omar Lengerke-Perez and Javier Ascanio-Villabona
Sustainability 2026, 18(11), 5224; https://doi.org/10.3390/su18115224 - 22 May 2026
Abstract
Access to freshwater is one of the major global challenges, driven by population growth, industrial development, climate change, and increasing water stress, particularly in economically constrained regions. In this context, this study designs, builds, and experimentally and numerically evaluates an indirect solar concentration [...] Read more.
Access to freshwater is one of the major global challenges, driven by population growth, industrial development, climate change, and increasing water stress, particularly in economically constrained regions. In this context, this study designs, builds, and experimentally and numerically evaluates an indirect solar concentration desalination system (ICST) composed of a humidification–dehumidification (HDH) subsystem thermally powered by a Linear Fresnel Concentrator (LFC) under the appropriate technology paradigm. The methodology integrates an experimental campaign conducted under real climatic conditions in Bucaramanga, Colombia, mathematical modeling based on mass and energy balances, and the implementation of a TRNSYS simulation model validated through qualitative and quantitative analyses using absolute and relative errors. Results showed close agreement between experimental and simulated data, with daily freshwater production deviations of 0.53 and 0.65 L/day in tests 04 and 05, respectively, while mean relative errors remained below 5% for the main thermal and productivity variables. Experimentally, an average freshwater production of 1.13 L/h was achieved, with a production gain ratio (GOR) of 0.32 and a recovery ratio (RR) of 0.021, while maintaining total dissolved solids below 500 mg/L. Economic assessment estimated a production cost of $0.065/L, demonstrating the technical and economic feasibility of the system for decentralized small-scale applications in regions with high solar irradiance throughout the year. Full article
(This article belongs to the Section Energy Sustainability)
Show Figures

Figure 1

36 pages, 11109 KB  
Article
OnlinePlan: A Sustainable Computational Framework for Automated Cost Estimation and Decision Support in Highway Maintenance Planning
by Suphawut Malaikrisanachalee, Ruttanawadee Phukham, Wittaya Srisomboon and Narongrit Wongwai
Sustainability 2026, 18(11), 5223; https://doi.org/10.3390/su18115223 - 22 May 2026
Abstract
The digital transformation of construction processes has highlighted the need for integrated and sustainable automation frameworks, particularly in public-sector infrastructure planning where cost estimation, documentation, and approval workflows remain fragmented. This study proposes OnlinePlan, a computational and system-level framework that operationalizes a regulation-compliant [...] Read more.
The digital transformation of construction processes has highlighted the need for integrated and sustainable automation frameworks, particularly in public-sector infrastructure planning where cost estimation, documentation, and approval workflows remain fragmented. This study proposes OnlinePlan, a computational and system-level framework that operationalizes a regulation-compliant cost estimation process within an integrated digital platform. The framework integrates heterogeneous data sources, category-specific engineering models, and regulatory transformations into a structured workflow that combines the Standard Construction Cost Estimation System, the Construction Planning and Budget Documentation System, and the Highway Maintenance Budget Planning Information System, with interoperability to PlanNET. A real-world dataset of 74 projects is used to evaluate system performance against traditional workflows. The results demonstrate zero computational deviation (0.00%) and significant efficiency improvements, with total processing time reduced by approximately 75.7%. Statistical validation confirms strong significance (t = 35.09, p < 0.001) and an exceptionally large effect size (Cohen’s d = 7.85), indicating substantial practical impact. The findings reveal that the primary contribution of construction automation lies not only in computational acceleration but in the integration of estimation, documentation, and approval processes into a workflow-governed digital system. This study contributes a scalable and interpretable framework for sustainable construction automation, advancing ICT-enabled decision-making, resource efficiency, and institutional transparency in infrastructure management. These dimensions are explicitly interpreted as measurable indicators of sustainability in public-sector infrastructure management. The primary contribution lies in the integration of estimation, documentation, and approval workflows into a unified system, rather than in the formulation of new cost equations. Full article
Show Figures

Figure 1

24 pages, 2863 KB  
Article
Assessing Environmental Flow Reliability Through Reservoirs Under Climate Change and Population Growth
by Mahdi Sedighkia and Bithin Datta
Sustainability 2026, 18(11), 5222; https://doi.org/10.3390/su18115222 - 22 May 2026
Abstract
Assessing environmental flows downstream of reservoirs under changing climate and increasing water demand remains a critical challenge in catchment management. This study presents an integrated framework for optimizing environmental flow releases by explicitly linking reservoir operation with climate change and population growth. The [...] Read more.
Assessing environmental flows downstream of reservoirs under changing climate and increasing water demand remains a critical challenge in catchment management. This study presents an integrated framework for optimizing environmental flow releases by explicitly linking reservoir operation with climate change and population growth. The key novelty lies in the development of a modified objective function that incorporates environmental flow requirements alongside evolving hydrological and demand conditions. Reservoir inflows were simulated using an artificial intelligence-based rainfall–runoff model, employing a neuro-fuzzy inference system to capture nonlinear relationships between climate variables and runoff. Future rainfall projections were derived from four general circulation models (ACCESS1.0, CanESM2, MIROC5, and NorESM-M1) across four-time horizons (2021–2040, 2041–2060, 2061–2080, and 2081–2100). The simulated inflows were coupled with a reservoir operation model to optimize environmental flow releases, with system performance evaluated using reliability and vulnerability metrics. Results show that climate change alone has a limited impact on environmental flow supply; however, when combined with population-driven increases in water demand, significant reductions in system performance occur. In the worst-case scenario, the reliability of meeting environmental flow requirements drops below 20%, accompanied by a marked increase in system vulnerability. These findings demonstrate that water demand pressures play a dominant role in shaping future environmental flow availability. The proposed framework provides a robust and adaptable approach for integrating hydrological variability and socio-economic drivers into reservoir management, supporting more informed decision-making for balancing water supply and ecosystem sustainability under future uncertainty. Full article
Show Figures

Figure 1

22 pages, 4131 KB  
Article
Nursery Resource Efficiency Drives Seedling Quality and Field Establishment of Pinus devoniana for Forest Restoration
by Rosario Marilu Bernaola-Paucar, Bayron Alexander Ruiz-Blandon, Efrén Hernández-Alvarez, Vincenzo Bertolini, René Alejandro Flores-Estrella, Luis Armando Nieto Ramos, Carlos Emérico Nieto Ramos, Julian Leonardo Mantari Mallqui and Kenyi Paul Hinostroza Mendoza
Sustainability 2026, 18(11), 5221; https://doi.org/10.3390/su18115221 - 22 May 2026
Abstract
Forest restoration depends on producing seedlings able to convert nursery inputs into functional traits that persist after outplanting. This study evaluated whether contrasting nursery resource-management profiles, derived from container volume, fertilization, and irrigation, shaped seedling quality and field establishment of Pinus devoniana. [...] Read more.
Forest restoration depends on producing seedlings able to convert nursery inputs into functional traits that persist after outplanting. This study evaluated whether contrasting nursery resource-management profiles, derived from container volume, fertilization, and irrigation, shaped seedling quality and field establishment of Pinus devoniana. Seedlings were conditioned for six months under eight profiles and validated during one year under field conditions. Nursery evaluation included morphology, biomass allocation, Dickson Quality Index (DQI), nutrient status, and proline; field validation included survival, growth, ectomycorrhization, stomatal density, and lignification. Profiles differed significantly in root collar diameter, height, root biomass, total biomass, root–shoot ratio, and DQI. The 5 L fertilized and irrigated profile produced the highest integrated quality, with 140.9% more root biomass than the weakest root profile and 144.3% higher DQI than the lowest-quality profile. Nitrogen- and proline-separated nutrient and stress responses showed that higher nutrient status did not always imply lower stress. Field survival reached its highest value under the 5 L fertilized and irrigated profile, exceeding several 1 L profiles by 74.8%. DQI was positively associated with field survival (r = 0.71, p = 0.048), supporting a nursery-to-field carry-over effect. The findings highlight rooting space as a leverage point for improving reforestation outcomes. Full article
Show Figures

Figure 1

18 pages, 2724 KB  
Article
Root Reinforcement by Vetiver Grass (Chrysopogon zizanioides) for Sustainable Slope Stabilization in Two Andean Soil Types: Evidence from Laboratory Testing and Numerical Modeling
by Camila Nickole Fernandez-Morocho, Jose Luis Chavez-Torres and Kunyong Zhang
Sustainability 2026, 18(11), 5220; https://doi.org/10.3390/su18115220 - 22 May 2026
Abstract
Landslides are a recurrent geohazard in Andean urban environments, where weak soils, intense seasonal rainfall, and unplanned urban expansion combine to increase slope vulnerability. In such settings, sustainable hillside management requires stabilization strategies that are both technically effective and environmentally compatible. This study [...] Read more.
Landslides are a recurrent geohazard in Andean urban environments, where weak soils, intense seasonal rainfall, and unplanned urban expansion combine to increase slope vulnerability. In such settings, sustainable hillside management requires stabilization strategies that are both technically effective and environmentally compatible. This study evaluates the effect of root reinforcement by vetiver grass (Chrysopogon zizanioides) on slope stability in two representative soils from Loja, Ecuador: sandy silt (SM) and sandy clay (SC). A reduced-scale physical model with 30 days of root development was established, and consolidated–drained direct shear tests (ASTM D3080/D3080M-23) were performed to determine the shear strength parameters under bare and vetiver-reinforced conditions. These parameters were then incorporated into numerical slope stability analyses using Slide and PLAXIS 2D, considering three slope angles (30°, 45°, and 50°), six root-positioning configurations, and hydraulic conditions with and without a water table. Vetiver increased effective cohesion by 22.7% in sandy silt and 19.0% in sandy clay, while the internal friction angle increased by 21.8% and 12.2%, respectively. Across all modeled scenarios, vetiver produced a consistent improvement in the factor of safety. The most critical case, corresponding to sandy silt at 45° with a water table, increased from FS = 0.841 in the control condition to FS = 1.309 under the full-coverage configuration. Parametric sensitivity analysis yielded coefficients of variation between 4.97% and 7.03%, indicating a stable model response under controlled parameter perturbations. These findings support vetiver as an experimentally grounded and environmentally sustainable Nature-based Solution for slope stabilization and provide relevant evidence for sustainable management of hazard-prone urban hillsides in vulnerable Andean settings. Full article
(This article belongs to the Special Issue Sustainable Ecological Restoration Materials and Technologies)
Show Figures

Figure 1

23 pages, 1909 KB  
Article
Evaluating and Enhancing Comprehensive Disaster Reduction in Mining Cities in the Central Plains Urban Agglomeration, China
by Chunyu Wei and Xiaobing Zhou
Sustainability 2026, 18(11), 5219; https://doi.org/10.3390/su18115219 - 22 May 2026
Abstract
This study focuses on 28 mining cities with the aim of promoting their sustainable development, particularly with regard to disaster resilience. The entropy-weight Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) model is adopted to measure comprehensive disaster reduction capacity, [...] Read more.
This study focuses on 28 mining cities with the aim of promoting their sustainable development, particularly with regard to disaster resilience. The entropy-weight Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) model is adopted to measure comprehensive disaster reduction capacity, and spatial analysis/econometric models are used to reveal its spatial distribution pattern, correlation characteristics, and driving mechanism. The region’s comprehensive disaster reduction capacity is generally higher in the west and north and lower in the east and south. Significant differences are observed among cities with obvious spatial agglomeration characteristics, and both high- and low-value areas show a contiguous spatial structure. Economic development and disaster prevention infrastructure construction are the main factors driving the spatial differentiation of disaster reduction capacity. Geological disaster risk exerts a significant negative effect, and various regions exhibit stable positive spatial spillover. These results provide a scientific basis for formulating differentiated disaster reduction strategies and will facilitate the sustainable development of disaster-prone regions. Full article
(This article belongs to the Section Sustainability in Geographic Science)
Show Figures

Figure 1

19 pages, 607 KB  
Article
Driving Digital Adoption in Rural Tajikistan: An Extended Technology Acceptance Model (TAM) Analysis of Institutional and Psychological Barriers
by Azizakhon Salieva, Jiafeng Zhang, Miao Wan and Erpeng Wang
Sustainability 2026, 18(11), 5218; https://doi.org/10.3390/su18115218 - 22 May 2026
Abstract
The digital transformation of agriculture is a critical pathway for promoting sustainable rural livelihoods in transition economies. This study examines the determinants of mobile agricultural application adoption among 327 smallholder farmers in Tajikistan, integrating the Technology Acceptance Model (TAM) with New Institutional Economics [...] Read more.
The digital transformation of agriculture is a critical pathway for promoting sustainable rural livelihoods in transition economies. This study examines the determinants of mobile agricultural application adoption among 327 smallholder farmers in Tajikistan, integrating the Technology Acceptance Model (TAM) with New Institutional Economics (NIE). We develop a formative Institutional Support Index (ISI) comprising cooperative membership, extension access, and regulatory familiarity. Using binary logistic regression and multi-model robustness checks (probit, LPM, IV-probit), we identify three core findings. First, perceived usefulness (PU) is the dominant positive driver (AME = +12.2 pp; p < 0.001). Second, perceived risk (PR) constitutes a significant psychological barrier (AME = −7.6 pp; p < 0.01), while perceived trust (PT) partially offsets this deterrent effect (AME = +6.4 pp; p < 0.01). Third, we document a “land ownership puzzle,” where land ownership exerts a robust negative conditional effect on adoption (AME = −14.2 pp; p < 0.01). This finding suggests a property-rights-based “conservatism bias” unique to transition contexts, where asset-protection motives increase the adoption threshold for landowners compared to tenants. Exploratory analysis indicates a tentative “Sensitization Effect,” in which institutional support may increase risk awareness in the absence of financial risk-sharing mechanisms. These results broaden the applicability of the TAM to post-Soviet transition environments and suggest that digital extension initiatives must incorporate risk-management tools to effectively assist smallholder farmers. Full article
Show Figures

Figure 1

Previous Issue
Back to TopTop