Journal Description
Sustainability
Sustainability
is an international, peer-reviewed, open-access journal on environmental, cultural, economic, and social sustainability of human beings, published semimonthly online by MDPI. The Canadian Urban Transit Research & Innovation Consortium (CUTRIC), International Council for Research and Innovation in Building and Construction (CIB) and Urban Land Institute (ULI) are affiliated with Sustainability and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE and SSCI (Web of Science), GEOBASE, GeoRef, Inspec, AGRIS, RePEc, CAPlus / SciFinder, and other databases.
- Journal Rank: JCR - Q2 (Environmental Studies) / CiteScore - Q1 (Geography, Planning and Development)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 18.8 days after submission; acceptance to publication is undertaken in 3.6 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Testimonials: See what our editors and authors say about Sustainability.
- Companion journals for Sustainability include: World, Sustainable Chemistry, Conservation, Future Transportation, Architecture, Standards, Merits and Wind.
Impact Factor:
3.9 (2022);
5-Year Impact Factor:
4.0 (2022)
Latest Articles
Study on the Urban Expansion of Typical Tibetan Plateau Valley Cities and Changes in Their Ecological Service Value: A Case Study of Xining, China
Sustainability 2024, 16(11), 4537; https://doi.org/10.3390/su16114537 (registering DOI) - 27 May 2024
Abstract
►
Show Figures
The accelerated urbanization process drives urban spatial expansion, making it essential to clarify the driving factors of this expansion and the corresponding ecosystem service value (ESV) response for effective regional urban planning. We selected Xining City, a typical plateau valley city with a
[...] Read more.
The accelerated urbanization process drives urban spatial expansion, making it essential to clarify the driving factors of this expansion and the corresponding ecosystem service value (ESV) response for effective regional urban planning. We selected Xining City, a typical plateau valley city with a spatial layout constrained by mountainous and riverine topography, as our study area. We analyzed land changes in Xining City over the past 20 years using the land transfer matrix and the PLUS model, and predicted land use changes under different scenarios for 2030. By combining these analyses with the improved unit area equivalent factor method, we quantitatively assessed the drivers of urban expansion in the main urban area of Xining City from 2000 to 2030 and estimated the ESV. The results showed that: (1) Over the past two decades, Xining City has experienced notable urban expansion, particularly along the Huangshui River, Beichuan River, and Nanchuan River. The urban construction land is mainly converted from cropland and grassland, and the simulation results under different scenarios in the future of 2030 show that the area of cropland and grassland continues to decrease. (2) The spatial expansion of urban areas in Xining City is primarily influenced by topographical factors, with urban transportation planning exerting a secondary influence. Distinct levels of roads exhibit varying degrees of impact on the expansion of constructed areas, with tertiary roads demonstrating the most widespread and substantial influence. Conversely, factors such as population density, GDP, and proximity to government have lesser influence on urban expansion. (3) The ecosystem service value (ESV) of Xining City exhibits a general decline from 2000 to 2030, marked by a significant loss of arable land and grassland and substantial shifts in ESV. Simulated ESV outcomes under diverse scenarios for 2030 consistently underscore that, irrespective of policy orientations, urban expansion and development, despite guarantees for urban, cropland, and ecological preservation, inevitably engender diminishing ecosystem service functionalities.
Full article
Open AccessEditorial
Behavioral Eco-Wellness
by
Bruce Barrett
Sustainability 2024, 16(11), 4536; https://doi.org/10.3390/su16114536 (registering DOI) - 27 May 2024
Abstract
The impending climate catastrophe and the worldwide epidemics of metabolic syndrome, obesity, diabetes, and cardiovascular disease are linked to many of the same behaviors, especially to what people eat and how they move around [...]
Full article
(This article belongs to the Section Psychology of Sustainability and Sustainable Development)
Open AccessArticle
The Moderating Role of Entrepreneurial Networking between Entrepreneurial Alertness and the Success of Entrepreneurial Firms
by
Mir Satar, Sager Alharthi, Muzaffar Asad, Amer Alenazy and Muhammad Uzair Asif
Sustainability 2024, 16(11), 4535; https://doi.org/10.3390/su16114535 (registering DOI) - 27 May 2024
Abstract
Entrepreneurial firms’ success is significantly influenced by their capacity to seize market opportunities. At the same time, little is known about when and how entrepreneurs’ alertness to the potential for business opportunities and how it influences their success. To fill this vacuum in
[...] Read more.
Entrepreneurial firms’ success is significantly influenced by their capacity to seize market opportunities. At the same time, little is known about when and how entrepreneurs’ alertness to the potential for business opportunities and how it influences their success. To fill this vacuum in the literature on entrepreneurship, the current study focused on identifying the impact that fluctuations in the degree of entrepreneurial networking cause on the relationship between three pertinent dimensions of entrepreneurial attentiveness and the success of entrepreneurial firms. Based on primary data collected from 384 entrepreneurial firms that are operating in Pakistan, using an adapted questionnaire, this study discovered that improvements in dimensions of entrepreneurial alertness have a beneficial impact on the success of entrepreneurial firms. Moreover, the moderating role of entrepreneurial networking has proved significant in the relationships. The effect size of the moderator is also significant and large. This study is also important for the sustainability of entrepreneurial firms because the more they are successful in their mission, the more they will be sustainable. Moreover, the moderating role of entrepreneurial networking that helps them in times of crisis also improves their sustainability. This study also revealed how entrepreneurial alertness works as a driver of entrepreneurial business success and how success is magnified in the presence of a higher degree of entrepreneurial networking. The theoretical, managerial, and policy ramifications of the study are explained at the end, along with limitations and recommendations for future researchers.
Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
►▼
Show Figures
Figure 1
Open AccessArticle
Forecasting Sustainable Development Indicators in Romania: A Study in the European Context
by
Alexandra-Nicoleta Ciucu (Durnoi), Corina Ioanăș, Marioara Iordan and Camelia Delcea
Sustainability 2024, 16(11), 4534; https://doi.org/10.3390/su16114534 (registering DOI) - 27 May 2024
Abstract
Sustainable development is a very important and highly debated concept worldwide, with almost all states around the globe recognizing the importance of supporting a balancing of economic, social and ecological plans to create a more prosperous and equitable world. The purpose of the
[...] Read more.
Sustainable development is a very important and highly debated concept worldwide, with almost all states around the globe recognizing the importance of supporting a balancing of economic, social and ecological plans to create a more prosperous and equitable world. The purpose of the current study is to identify the current context of the progress achieved by the EU member states regarding the 17 sustainable development objectives. Following the implemented research, it was found that Romania is one of the countries with the lowest performance, so an attempt was made to make a short-term forecast in the case of this country in order to determine its future course. In this sense, the Holt–Winters trend methods were used, which are based on historical data to predict future values. According to the analysis carried out, the predicted values are mainly encouraging, but it is necessary for the competent authorities to become more involved because, in many aspects, Romania is at the bottom of the European Union (EU) ranking regarding the analyzed indicators.
Full article
(This article belongs to the Special Issue Risk Analysis and Decision Making for Sustainable Development)
►▼
Show Figures
Figure 1
Open AccessArticle
Coupling and Coordination Analysis of Digital Economy and Green Agricultural Development: Evidence from Major Grain Producing Areas in China
by
Hui Yang and Xiangda Xu
Sustainability 2024, 16(11), 4533; https://doi.org/10.3390/su16114533 (registering DOI) - 27 May 2024
Abstract
►▼
Show Figures
Analyzing the coupled coordination of the digital economy (DE) and agricultural green development (AGD) and exploring the main influencing factors affecting their coupled coordination are key to achieving high-quality and sustainable development in agriculture. These measures are also crucial for achieving the United
[...] Read more.
Analyzing the coupled coordination of the digital economy (DE) and agricultural green development (AGD) and exploring the main influencing factors affecting their coupled coordination are key to achieving high-quality and sustainable development in agriculture. These measures are also crucial for achieving the United Nations’ Sustainable Development Goals (SDGs). In this study, we constructed a comprehensive evaluation system including two subsystems, DE and AGD, and firstly measured the development of DE and AGD and their trends in 13 provinces in China’s main grain-producing areas during the decade from 2012 to 2021 using EW-TOPSIS. Secondly, the coupling coordination development (CCD) model was used to analyze the static results and dynamic evolution process of CCD of the DE and AGD subsystems in the study area. Finally, the gray correlation degree (GCD) model was used to identify the main influencing factors in the interaction between the two systems in 2012 and 2021. The results show the following: (1) The development levels of DE and AGD generally rose during the study period, but the development level gap between regions was obvious, and the development of DE relatively lagged behind. (2) The level of CCD increased year by year, and the overall process changed from “uncoordinated” to “coordinated”. (3) At the beginning of the study period, the development achievements of DE had a great impact on the process of AGD. The application of advanced agricultural technology in the AGD system and the process of agricultural industry upgrading had a profound impact on the development of DE. However, a decade later, the main factors had changed. This paper analyzes the results of the above empirical study in time and space, aiming to provide policymakers with new working ideas to achieve the SDGs.
Full article
Figure 1
Open AccessArticle
Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region
by
Hanyue Fang and Hongbing Li
Sustainability 2024, 16(11), 4532; https://doi.org/10.3390/su16114532 (registering DOI) - 27 May 2024
Abstract
►▼
Show Figures
The greenhouse effect has a negative impact on social and economic development. Analyzing the factors influencing industrial carbon emissions and accurately predicting the peak of industrial carbon emissions to achieve carbon peak and carbon neutrality is therefore vital. The annual data from 2000
[...] Read more.
The greenhouse effect has a negative impact on social and economic development. Analyzing the factors influencing industrial carbon emissions and accurately predicting the peak of industrial carbon emissions to achieve carbon peak and carbon neutrality is therefore vital. The annual data from 2000 to 2022 were used to study the influencing factors of carbon emission and the path of carbon emission reduction. In this study, the gray correlation method and stepwise regression method were used to explore the effective factors that met the significance test and the STIRPAT expansion model was constructed to analyze the characteristics and influencing factors of industrial carbon emissions in the Sichuan-Chongqing region. Finally, the changing trend of regional industrial carbon emissions is predicted by scenario analysis and four development scenarios are set up, which show that (1) from 2000 to 2022, the change in total industrial carbon emissions in Sichuan Province and Chongqing Municipality presents an inverted U-shaped trend, reaching a phased peak in 2013 and 2014, respectively, then declining and then rising again after 2018. (2) Industrial scale foreign trade dependence and population are the effective factors of industrial carbon emission in Sichuan, and all have positive effects. Energy structure and per capita income are the effective factors in Chongqing, showing negative and positive effects, respectively. (3) Analysis of four scenarios shows that the time range of the industrial carbon peak in the Sichuan-Chongqing region is 2030–2035 and that its peak height ranges from 81.98 million tons to 87.64 million tons. Among them, the green development scenario is the most consistent path to achieve the carbon peak as soon as possible; in this case, industrial carbon emissions will peak in 2030, in line with the national target time, and the lowest peak level of 81.98 million tons. The suggestions in this paper are continuously optimizing the energy structure, adjusting the industrial scale, and accelerating scientific and technological progress to achieve sustainable development.
Full article
Figure 1
Open AccessArticle
Advancing Spatiotemporal Pollutant Dispersion Forecasting with an Integrated Deep Learning Framework for Crucial Information Capture
by
Yuchen Wang, Zhengshan Luo, Yulei Kong and Jihao Luo
Sustainability 2024, 16(11), 4531; https://doi.org/10.3390/su16114531 (registering DOI) - 27 May 2024
Abstract
►▼
Show Figures
This study addressed the limitations of traditional methods in predicting air pollution dispersion, which include restrictions in handling spatiotemporal dynamics, unbalanced feature importance, and data scarcity. To overcome these challenges, this research introduces a novel deep learning-based model, SAResNet-TCN, which integrates the strengths
[...] Read more.
This study addressed the limitations of traditional methods in predicting air pollution dispersion, which include restrictions in handling spatiotemporal dynamics, unbalanced feature importance, and data scarcity. To overcome these challenges, this research introduces a novel deep learning-based model, SAResNet-TCN, which integrates the strengths of a Residual Neural Network (ResNet) and a Temporal Convolutional Network (TCN). This fusion is designed to effectively capture the spatiotemporal characteristics and temporal correlations within pollutant dispersion data. The incorporation of a sparse attention (SA) mechanism further refines the model’s focus on critical information, thereby improving efficiency. Furthermore, this study employed a Time-Series Generative Adversarial Network (TimeGAN) to augment the dataset, thereby improving the generalisability of the model. In rigorous ablation and comparison experiments, the SAResNet-TCN model demonstrated significant advances in predicting pollutant dispersion patterns, including accurate predictions of concentration peaks and trends. These results were enhanced by a global sensitivity analysis (GSA) and an additive-by-addition approach, which identified the optimal combination of input variables for different scenarios by examining their impact on the model’s performance. This study also included visual representations of the maximum downwind hazardous distance (MDH-distance) for pollutants, validated against the Prairie Grass Project Release 31, with the Protective Action Criteria (PAC) and Immediately Dangerous to Life or Health (IDLH) levels serving as hazard thresholds. This comprehensive approach to contaminant dispersion prediction aims to provide an innovative and practical solution for environmental hazard prediction and management.
Full article
Figure 1
Open AccessArticle
Direct and Spillover Effects: How Do Community-Based Organizations Impact the Social Integration of Passive Migrants?
by
Caining Yang and Hongyu Xu
Sustainability 2024, 16(11), 4530; https://doi.org/10.3390/su16114530 (registering DOI) - 27 May 2024
Abstract
With the rapid process of urbanization and constant changes in ecological environments, passive migration programs have been popularized among many governments worldwide as a prevalent adaptation strategy. Poverty alleviation resettlement (PAR) emerges as one of China’s flagship initiatives, as the government has shifted
[...] Read more.
With the rapid process of urbanization and constant changes in ecological environments, passive migration programs have been popularized among many governments worldwide as a prevalent adaptation strategy. Poverty alleviation resettlement (PAR) emerges as one of China’s flagship initiatives, as the government has shifted its focus from investing in villages with harsh natural conditions to the construction of centralized high-density resettlement communities in small counties and peri-urban regions. The sustainability and well-being of migrants within resettlement communities play a vitally important role in the effectiveness of this program. In line with the integration theory, semi-structured interviews, focus group discussions, and a household survey covering 287 PAR migrant households were conducted to analyze how community-based organizations (CBOs) influence the social integration of PAR migrants. The findings are as follows: (1) Both participants and non-participants in CBOs show higher levels of neighborhood interaction, behavioral adaptation, and identity recognition. However, no significant advantage is yielded by their economic integration. (2) The mechanism of CBOs impacting the social integration of migrants varies between participants and non-participants. The social integration of those migrants participating in a CBO experience increased through cooperation-based social interaction, adherence to organizational norms, and enhanced self-efficacy. In contrast, the social integration of non-participants in CBOs within the same community results from such mechanisms as service delivery-based social interaction, social learning, and community solidarity. Therefore, this article highlights the significance attached to developing CBOs as a sustainable development strategy for passive migrants. Additionally, to better support passive migrants in eliminating poverty, governments are advised to implement sustainable economic support plans through CBOs, with a particular focus on long-term employment assistance programs.
Full article
(This article belongs to the Special Issue Immigrants, Social Integration and Sustainable Rural Development)
►▼
Show Figures
Figure 1
Open AccessArticle
Strategies for Achieving Sustainable Anesthesia: Insights from Austrian Experts—A Qualitative Interview Study
by
Sascha Hammer, Kordula Lang-Illievich, Lioba Heuschneider, Mathias Bader and Helmar Bornemann-Cimenti
Sustainability 2024, 16(11), 4529; https://doi.org/10.3390/su16114529 (registering DOI) - 27 May 2024
Abstract
The implementation of low-carbon healthcare practices will be significantly enhanced by the role of anesthesia personnel. While there is a lack of data on the specific measures being implemented by anesthesia departments in Austria, we conducted interviews with six experts in sustainability within
[...] Read more.
The implementation of low-carbon healthcare practices will be significantly enhanced by the role of anesthesia personnel. While there is a lack of data on the specific measures being implemented by anesthesia departments in Austria, we conducted interviews with six experts in sustainability within anesthesia to address this knowledge gap. These experts provided insights on strategies for reducing the CO2 impact in the operating theatre, the level of interest among anesthetists in sustainability, the role of green teams in hospitals, and future prospects for sustainable anesthesia. While Austria has made progress in reducing the use of Desfluran, waste separation within operating theatres remains a significant issue. Green teams are present in hospitals, but there is a need for the greater inclusion of anesthetists and clinical staff. The topic of sustainability is becoming increasingly important in the field of anesthesia, and the past three years have witnessed a significant push towards reducing CO2 emissions in hospitals across Austria. The experts identified key steps towards achieving sustainable anesthesia, emphasizing the need for an internal motivation to drive meaningful change. This study highlights the numerous measures that have already been implemented in the pursuit of sustainability in anesthesia and the ongoing efforts towards further improvement.
Full article
(This article belongs to the Section Health, Well-Being and Sustainability)
Open AccessArticle
The Impact of Intellectual Capital on Sustainable Performance: Banking Sector in Saudi Arabia
by
Omer Ahmed Sayed and Aida Nefzi
Sustainability 2024, 16(11), 4528; https://doi.org/10.3390/su16114528 (registering DOI) - 27 May 2024
Abstract
This study investigates the impact of intellectual capital on the sustainable performance of banks in Saudi Arabia, focusing on the period from 2012 to 2022. Utilizing data from 10 major Saudi banks, the research examines how different components of intellectual capital—Human capital efficiency
[...] Read more.
This study investigates the impact of intellectual capital on the sustainable performance of banks in Saudi Arabia, focusing on the period from 2012 to 2022. Utilizing data from 10 major Saudi banks, the research examines how different components of intellectual capital—Human capital efficiency (HCE), Structural capital efficiency (SCE), and Capital employed efficiency (CEE)—influence key financial performance indicators such as return on equity (ROE) and Net profit margin (NPM). The study is grounded in the resource-based view of the firm, which suggests that a firm’s internal resources can provide a sustainable competitive advantage. The analysis employs panel data techniques, including fixed and random effect models, to assess the relationships between intellectual capital components and bank performance while controlling for variables like bank size (SIZE), financial leverage (LEV), gross domestic product growth (GGDP), inflation (INF), and the impact of the COVID-19 pandemic (COV). The findings reveal that intellectual capital significantly enhances bank performance in Saudi Arabia, with human capital efficiency showing the most decisive influence on ROE and NPM. Structural capital and capital employed efficiency also contribute positively but vary in their impact on different performance measures. This research contributes to the theoretical and practical understanding of the role of intellectual capital in promoting sustainable banking practices. It underscores the importance of the strategic management of intellectual capital in enhancing financial performance and achieving sustainability goals, particularly in the context of Saudi Arabia’s Vision 2030. The study’s insights are relevant for bank managers and policymakers who leverage intellectual capital for economic diversification and sustainable development.
Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Open AccessArticle
Assessment of Desertification Dynamics in Arid Coastal Areas by Integrating Remote Sensing Data and Statistical Techniques
by
Samia S. Hasan, Omar A. Alharbi, Abdullah F. Alqurashi and Amr S. Fahil
Sustainability 2024, 16(11), 4527; https://doi.org/10.3390/su16114527 (registering DOI) - 27 May 2024
Abstract
Arid coastal regions are threatened by land desertification, which poses a serious threat to desert ecosystems, urban areas, and sustainability on a local as well as global scale. The present study aims to map desertification and the degree of its severity over the
[...] Read more.
Arid coastal regions are threatened by land desertification, which poses a serious threat to desert ecosystems, urban areas, and sustainability on a local as well as global scale. The present study aims to map desertification and the degree of its severity over the Jazan province on the western coast of Saudi Arabia. This investigation was conducted through the integration of remote sensing data (2001 and 2020) and statistical techniques. A scatter diagram, Karl Pearson correlation coefficient, and significance p-value test were performed on various spectral indices and tasseled cap transformation (TCT) derivative matrices to determine the strong significant relation of the spectral indices combination. Based on these analyses, the desertification degree index (DDI) was developed using a NDVI–TCG combination. The desertification grades were mapped and categorized into five classes, namely, non-desertification, low, moderate, severe, and extreme desertification. The results indicated that the spatial distribution of desertification grades declined from west to east during the period from 2001 to 2020. The degree of desertification improved during the study period since there was a significant reduction in extremely serious desertification land by 15.5% and an increase in weak desertification land by 7.8%. The dynamic changes in the DDI classes in the Jazan province mainly involve transformation from extremely serious to serious, serious to moderate, and moderate to weak, with areas of 2268.1 km2, 1518.5 km2, and 1062.5 km2, respectively. Generally, over the 19-year period, the restoration of vegetated areas accounted for 41.99% of the total study area, while desertification degradation land represented 15.57% of the total area of the Jazan province.
Full article
(This article belongs to the Section Environmental Sustainability and Applications)
►▼
Show Figures
Figure 1
Open AccessArticle
Amazon Deforestation and Global Meat Consumption Trends: An Assessment of Land Use Change and Market Data from Rondônia That Shows Why We Should Consider Changing Our Diets
by
Veronica Garcia Donoso, Mayumi C. M. Hirye, Christiane Gerwenat and Christa Reicher
Sustainability 2024, 16(11), 4526; https://doi.org/10.3390/su16114526 (registering DOI) - 27 May 2024
Abstract
This paper seeks to elucidate the interrelationship between global meat consumption and deforestation in the Amazon region. To this end, empirical research is conducted to investigate land use changes in Rondônia and the expansion of pasture areas and beef production. Brazil is one
[...] Read more.
This paper seeks to elucidate the interrelationship between global meat consumption and deforestation in the Amazon region. To this end, empirical research is conducted to investigate land use changes in Rondônia and the expansion of pasture areas and beef production. Brazil is one of the largest beef producers in the world, with products destined for local and global markets. Based on bibliographical research, the paper analyzes maps of land use change between 1985 and 2021, using Landsat satellite imagery and the MapBiomas methodology for Landsat mosaic and classification. The research shows that beef from Rondônia is primarily purchased and consumed in Brazil, but it is also bought and sold on the international market. Landsat imagery analysis shows the predominance of forest conversion to pasture in Rondônia. The results show that deforestation in the Amazon is directly linked to the growth of cattle ranching. Land use change from native forest to pasture for beef cattle production is a reality in the Brazilian Amazon, especially in Rondônia. It suggests the urgent need for more conscious consumption and production practices as well as ethical and sustainable eating habits.
Full article
(This article belongs to the Special Issue Sustainability in the Food System and Consumption)
►▼
Show Figures
Figure 1
Open AccessReview
Fuzzy Machine Learning Applications in Environmental Engineering: Does the Ability to Deal with Uncertainty Really Matter?
by
Adriano Bressane, Ana Júlia da Silva Garcia, Marcos Vinícius de Castro, Stefano Donatelli Xerfan, Graziele Ruas and Rogério Galante Negri
Sustainability 2024, 16(11), 4525; https://doi.org/10.3390/su16114525 (registering DOI) - 27 May 2024
Abstract
►▼
Show Figures
Statement of Problem: Environmental engineering confronts complex challenges characterized by significant uncertainties. Traditional modeling methods often fail to effectively address these uncertainties. As a promising direction, this study explores fuzzy machine learning (ML) as an underutilized alternative. Research Question: Although the
[...] Read more.
Statement of Problem: Environmental engineering confronts complex challenges characterized by significant uncertainties. Traditional modeling methods often fail to effectively address these uncertainties. As a promising direction, this study explores fuzzy machine learning (ML) as an underutilized alternative. Research Question: Although the potential of fuzzy logic is widely acknowledged, can its capabilities truly enhance environmental engineering applications? Purpose: This research aims to deepen the understanding of the role and significance of fuzzy logic in managing uncertainty within environmental engineering applications. The objective is to contribute to both theoretical insights and practical implementations in this domain. Method: This research performs a systematic review carried out in alignment with PRISMA guidelines, encompassing 27 earlier studies that compare fuzzy ML with other methods across a variety of applications within the field of environmental engineering. Results: The findings demonstrate how fuzzy-based models consistently outperform traditional methods in scenarios marked by uncertainty. The originality of this research lies in its systematic comparison and the identification of fuzzy logic’s transparent, interpretable nature as particularly suited for environmental engineering challenges. This approach provides a new perspective on integrating fuzzy logic into environmental engineering, emphasizing its capability to offer more adaptable and resilient solutions. Conclusions: The analysis reveals that fuzzy-based models significantly excel in managing uncertainty compared to other methods. However, the study advocates for a case-by-case evaluation rather than a blanket replacement of traditional methods with fuzzy models. This approach encourages optimal selection based on specific project needs. Practical Implications: Our findings offer actionable insights for researchers and engineers, highlighting the transparent and interpretable nature of fuzzy models, along with their superior ability to handle uncertainties. Such attributes position fuzzy logic as a promising alternative in environmental engineering applications. Moreover, policymakers can leverage the reliability of fuzzy logic in developing ML-aided sustainable policies, thereby enhancing decision-making processes in environmental management.
Full article
Figure 1
Open AccessEditorial
Physical Training, the Pandemic and Sustainable Living
by
Valerio Giustino and Giuseppe Battaglia
Sustainability 2024, 16(11), 4524; https://doi.org/10.3390/su16114524 (registering DOI) - 27 May 2024
Abstract
Physical exercise is a stimulus that induces psychological and physiological responses which lead to cell adaptations of different organ systems [...]
Full article
(This article belongs to the Special Issue Physical Training, the Pandemic and Sustainable Living)
Open AccessArticle
Farmer Perspectives on the Economic, Environmental, and Social Sustainability of Environmental Conservation Agriculture (ECA) in Namobuddha Municipality, Kavre, Nepal
by
Keshav Lall Maharjan, Clarisse Mendoza Gonzalvo and Manjeshwori Singh
Sustainability 2024, 16(11), 4523; https://doi.org/10.3390/su16114523 (registering DOI) - 26 May 2024
Abstract
The adoption of environmental conservation agriculture (ECA) in Nepal is aligned with the country’s goal to achieve carbon neutrality by 2045, as ECA practices have been proven to effectively reduce greenhouse gas emissions. Nepal’s agricultural sector faces numerous challenges, including labor shortages, climate
[...] Read more.
The adoption of environmental conservation agriculture (ECA) in Nepal is aligned with the country’s goal to achieve carbon neutrality by 2045, as ECA practices have been proven to effectively reduce greenhouse gas emissions. Nepal’s agricultural sector faces numerous challenges, including labor shortages, climate change impacts, and the necessity for environmentally friendly farming methods, making the adoption of ECA practices even more crucial. Thus, this paper explored farmer perspectives on the sustainability of ECA practices in the Namobuddha municipality, Nepal, which is renowned as a leading hub of organic farming. A cross-sectional survey was conducted, together with key informant interviews and onsite observations. By analyzing various farmer perspectives, the study presents an analytical framework that highlights the economic, environmental, and social pillars of ECA’s sustainability. The findings underscore the significance of economic viability for farmers, as damages to crops and farm products negatively drive their perception of ECA sustainability. Conversely, factors such as increased agriculture-related income, favorable prices, and sustainable productivity positively shape farmers’ perceptions. In terms of environmental sustainability, farmers prioritize enhancing the local and global environment, viewing their farming methods as climate-smart and actively working towards reducing greenhouse gas emissions. The study emphasizes the importance of strategic communication to effectively convey the benefits of ECA to rural communities. Overall, this research contributes to filling the knowledge gap concerning farmers’ perceptions of ECA sustainability. The insights gained from this study have the potential to inform policy decisions and promote the widespread adoption of environmentally friendly farming practices in Nepal.
Full article
(This article belongs to the Special Issue Environmental and Social Sustainability in Rural Development)
Open AccessEssay
CFD-DEM Modeling of Cryogenic Hydrogen Flow and Heat Transfer in Packed Bed
by
Xin Quan, Yongfang Xia and Quanchen Zhang
Sustainability 2024, 16(11), 4522; https://doi.org/10.3390/su16114522 (registering DOI) - 26 May 2024
Abstract
Hydrogen is an important component of renewable energy and is essential for sustainable development. The cryogenic energy storage system can solve the problem of hydrogen storage. A packed bed can be applied in a cryogenic energy storage system. It is crucial to understand
[...] Read more.
Hydrogen is an important component of renewable energy and is essential for sustainable development. The cryogenic energy storage system can solve the problem of hydrogen storage. A packed bed can be applied in a cryogenic energy storage system. It is crucial to understand the cryogenic energy discharging in a packed bed. In the present work, the CFD-DEM coupling method is used to investigate the pore-scale flow and heat transfer characteristics of cryogenic hydrogen flowing through the packed bed. To demonstrate the characteristics of the pore-scale heat transfer of the hydrogen flow in a packed bed, the local radial-averaged and axial-averaged temperatures and velocities are analyzed in detail, depending on the local porosity distribution. The pore-scale radial-averaged velocity distribution is proportional to the local radial porosity distribution, whereas the pore-scale radial-averaged temperature characteristics are inverse. Moreover, for the heat exchange of the cryogenic hydrogen flow in a packed bed, it can be found that the cryogenic hydrogen flow is fully heated at an axial distance of approximately 7 dp. Finally, considering that the thermo-physical properties of cryogenic hydrogen are sensitive to the temperature in a packed bed, the friction factor and Nusselt number in the packed bed are also analyzed under various operating parameters, which are in good agreement with certain classic empirical correlations.
Full article
(This article belongs to the Special Issue Green and Clean Hydrogen Production)
Open AccessArticle
Analysis of Consumer Preferences for Green Tea Products: A Randomized Conjoint Analysis in Thai Nguyen, Vietnam
by
Bui Xuan Hong, Masaru Ichihashi and Nguyen Thi Bich Ngoc
Sustainability 2024, 16(11), 4521; https://doi.org/10.3390/su16114521 (registering DOI) - 26 May 2024
Abstract
How local economies can successfully develop remains an important issue for any developing country. One mechanism for promotion of economic development is government-driven policy. The problem is that it is not clear whether public-led economic promotion attracts consumers and which promotion factors are
[...] Read more.
How local economies can successfully develop remains an important issue for any developing country. One mechanism for promotion of economic development is government-driven policy. The problem is that it is not clear whether public-led economic promotion attracts consumers and which promotion factors are relatively significant for boosting particular goods. This paper examines attributes of green tea products likely influencing consumer preferences, focusing on the Thai Nguyen area in Vietnam as an example. In this area, the “One Commune, One Product” (OCOP) project has been implemented by the local government. This study employs randomized conjoint analysis based on data collected from 450 randomly selected consumers in several local supermarkets. Interestingly, the results show that online style sales have a negative preference for the purchase of green tea products, while transparency, such as the traceability of the product and product information, and reliability, such as certification, enhance the purchase of these products by consumers. However, this finding is not necessarily robust because our results indicate that approximately 90% of consumers tend to choose the default pair, which means that they do not actively prefer the product, possibly implying that this kind of public-led promotion is not yet broadly familiar to all people.
Full article
Open AccessArticle
Green Business Model and Green Media Coverage for a Successful Initial Public Offering: Evidence from the Korean Firms
by
Jungha Kim, Kyung Ryang Ko and Wonyong Choi
Sustainability 2024, 16(11), 4520; https://doi.org/10.3390/su16114520 (registering DOI) - 26 May 2024
Abstract
With mounting concerns about sustainability, significant attention has been directed toward research within the green industry domain. However, existing literature on initial public offerings (IPOs) has overlooked a crucial distinction: investors do not perceive all firms operating in green industries equally. Firms with
[...] Read more.
With mounting concerns about sustainability, significant attention has been directed toward research within the green industry domain. However, existing literature on initial public offerings (IPOs) has overlooked a crucial distinction: investors do not perceive all firms operating in green industries equally. Firms with green business models (GBMs) are more attractive to investors by providing positive signals of future growth potential and sustainability. To reveal this, the study investigates the relationship between GBMs and IPO success by Ordinary Least Squares (OLS) regression analysis. As the Asia-Pacific IPO market accounts for about 60% of IPO volume and value, with Korea actively participating in this global surge, the study used a sample of 150 firms that underwent IPOs between 2016 and 2019 on the Korea Securities Dealers Automated Quotations (KOSDAQ) market. We find evidence that firms with GBMs are more likely to achieve successful IPO outcomes, and GMC also plays a positive moderating role, enhancing the positive link between GBMs and IPO success. However, GMC alone had no significant effect. These findings imply that green signals positively contribute to a successful IPO and that each green signal can have different signaling effects, ultimately contributing to the field of sustainability through signaling theory.
Full article
(This article belongs to the Special Issue Digital Transformation and Innovation for a Sustainable Future)
►▼
Show Figures
Figure 1
Open AccessArticle
Development and Validation of the Readiness to Change Scale (RtC) for Sustainability
by
Mirko Duradoni, Giulia Valdrighi, Alessia Donati, Maria Fiorenza, Luisa Puddu and Andrea Guazzini
Sustainability 2024, 16(11), 4519; https://doi.org/10.3390/su16114519 (registering DOI) - 26 May 2024
Abstract
The climate emergency is increasingly looming, and its consequences on nature and human systems are increasingly severe and pervasive, as reported by the world’s leading conferences and organizations on the subject. There appears to be an immediate need to adopt more sustainable behaviors
[...] Read more.
The climate emergency is increasingly looming, and its consequences on nature and human systems are increasingly severe and pervasive, as reported by the world’s leading conferences and organizations on the subject. There appears to be an immediate need to adopt more sustainable behaviors in order to stem consequences that are becoming increasingly dramatic. In this regard, environmental psychology and other related disciplines have sought and still seek to understand how to translate the environmental concerns of individuals and communities into effective and efficient conservation and protection actions to contain the emergency and avoid further consequences. The contribution of psychological theories, particularly the transtheoretical model of change and the planned behavior model, appears very promising for assessing and promoting the potential for activation toward sustainability. The aim of this study was to develop a new conceptualization of the psychological construct of readiness to change (RtC) applied to sustainability issues and validated internally and externally through two separate studies (N1 = 228, N2 = 713). The sample for the two studies was recruited by distributing an anonymous online survey. For Study 1, we administered an online survey investigating basic sociodemographic characteristics and the preliminary set of 42 items of the readiness to change scale. For Study 2, the survey was composed of the following tools: a sociodemographic form, the readiness to change scale, a connectedness to nature scale, a climate change attitude survey, consumers’ perceived readiness toward green products, and a pro-environmental behaviors scale. Through exploratory factor analysis and confirmatory factor analysis, 29 items were selected from an initial set of 42. The 29 items were divided and organized into seven factors (namely: perceived importance of the problem/change, motivation, self-efficacy, effectiveness of the proposed solution, social support, action and involvement, and perceived readiness). Each factor showed adequate reliability (McDonald’s ω range: 0.74–0.87). Regarding external validity, the scale showed correlations—with typical to large effect sizes—with pro-environmental identity, green attitudes, sustainable intentions, and pro-environmental behaviors (PEBs) (i.e., conservation, environmental citizenship, food, transportation). Given the results obtained, we can say that the scale we constructed can infer the individual’s propensity to enact PEBs, and consequently it can give input to the implementation of interventions aimed at stimulating RtC and, therefore, sustainable behaviors. In conclusion, the scale appears valid and usable for assessing the activation potential of both individuals but also at the group and community levels—the latter factor being an important contribution to scientific research, since most of the instruments used to date fail to estimate this aspect.
Full article
Open AccessArticle
Sustainable Development in Gansu Province: Theil Index and Cluster Analysis
by
Peng Cao and Haijun Tao
Sustainability 2024, 16(11), 4518; https://doi.org/10.3390/su16114518 (registering DOI) - 26 May 2024
Abstract
With the advancement of the rural revitalization strategy, counties have emerged as vital platforms for supporting rural revitalization, underscoring the increasing importance of sustainable development in their economies. It is imperative to evaluate the sustainable development potential of county economies and implement precise
[...] Read more.
With the advancement of the rural revitalization strategy, counties have emerged as vital platforms for supporting rural revitalization, underscoring the increasing importance of sustainable development in their economies. It is imperative to evaluate the sustainable development potential of county economies and implement precise measures accordingly. This paper selects relevant economic development indicators from 2016 to 2020 for 76 counties in Gansu Province, constructs an evaluation system for assessing their sustainable development potential, and employs methods such as the Theil index, spatial autocorrelation, principal component analysis, and cluster grouping classification. The evaluation considers three aspects: the county economic development gap, the development potential score, and cluster analysis. The findings reveal that the economic development of Gansu Province’s counties exhibits spatial characteristics of multi-point flowering and scattered distribution, with relatively weak communication and development between surrounding counties. Over the five-year period, significant disparities in economic development among Gansu Province’s counties are evident. Liangzhou District ranks highest in county economic development, while other counties with robust economic development are primarily concentrated in the Lanzhou–Baiyin metropolitan area, the Tianshui metropolitan area, the west entrance of the Hexi Corridor economic belt, and the Qingyang–Pingliang group area. These counties exhibit a spatial pattern of agglomeration towards the central and eastern regions. Moreover, some counties in the southeastern region of Longdong demonstrate promising economic development potential, forming an initial scale of contiguous development. This indicates favorable prospects for sustainable development in the region’s county economy.
Full article
(This article belongs to the Special Issue Sustainable Transformation of Urban and Region: Design, Planning and Governance)
►▼
Show Figures
Figure 1
Journal Menu
► ▼ Journal Menu-
- Sustainability Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Instructions for Authors
- Special Issues
- Topics
- Sections & Collections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Society Collaborations
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserHighly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Topic in
Energies, Materials, Processes, Solar, Sustainability
Solar Thermal Energy and Photovoltaic Systems, 2nd Volume
Topic Editors: Pedro Dinis Gaspar, Pedro Dinho da Silva, Luís C. PiresDeadline: 31 May 2024
Topic in
Education Sciences, Entropy, JAL, Societies, Sustainability
Sustainability in Aging and Depopulation Societies
Topic Editors: Shiro Horiuchi, Gregor Wolbring, Takeshi MatsudaDeadline: 15 June 2024
Topic in
Laws, Societies, Sustainability
Cannabis Legalization in the United States: Public Policy, Social Welfare, and Public Health Implications
Topic Editors: Robert Mark Silverman, Kelly PattersonDeadline: 30 June 2024
Topic in
Agronomy, Environments, Microorganisms, Pollutants, Sustainability, Water
Soil and Water Pollution Process and Remediation Technologies, 2nd Volume
Topic Editors: Hongbiao Cui, Ru Wang, Yu Shi, Haiying Lu, Lin ChenDeadline: 15 July 2024
Conferences
Special Issues
Special Issue in
Sustainability
Sustainability and Indoor Environmental Quality
Guest Editors: Mateja Dovjak, Janja Vaupotic, Fumito Maruyama, So FujiyoshiDeadline: 31 May 2024
Special Issue in
Sustainability
Human Behavior, Urban Health and Sustainability
Guest Editors: Hao Wu, Lingbo Liu, Yang YuDeadline: 15 June 2024
Special Issue in
Sustainability
Sustainable Materials, Manufacturing and Design
Guest Editors: Adil Saeed, Shagufta KhanDeadline: 30 June 2024
Special Issue in
Sustainability
IoT and Sustainability
Guest Editor: Seung Hyun JeonDeadline: 10 July 2024
Topical Collections
Topical Collection in
Sustainability
Tourism Research and Regional Sciences
Collection Editors: Lóránt Dénes Dávid, Laszlo VASA, Setiawan Priatmoko
Topical Collection in
Sustainability
Mobile Technology, Gamification and Artificial Intelligence to Improve Sustainability in Education
Collection Editors: Eloy López Meneses, Esteban Vázquez-Cano, María Elena Parra-González
Topical Collection in
Sustainability
Urban Planning and Built Environment
Collection Editors: Yupeng Wang, Liyang Fan, Shi-Jie Cao, Xilian Luo
Topical Collection in
Sustainability
Sustainable Soil Management in a Changing Climate
Collection Editors: Georgios Koubouris, José Alfonso Gómez, Luuk Fleskens, Giuseppe Montanaro