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
Habit Transformation in Times of Crisis: How Green Values Promote Sustainable Mobility
Sustainability 2024, 16(10), 4253; https://doi.org/10.3390/su16104253 (registering DOI) - 18 May 2024
Abstract
Going on holiday is often associated with taking the car or plane. Even for short distances, and where alternative, sustainable transportation modes would be available, we frequently choose the more unsustainable options. Affordability, comfortability, and time savings led to an increase in transportation,
[...] Read more.
Going on holiday is often associated with taking the car or plane. Even for short distances, and where alternative, sustainable transportation modes would be available, we frequently choose the more unsustainable options. Affordability, comfortability, and time savings led to an increase in transportation, which in turn, negatively contributed to greenhouse gas emissions. The reduction in those emissions can be achieved by choosing public transportation. However, since transportation choices are often made unconsciously and habitually, it is crucial to transform those unsustainable habits into more sustainable ones. Contextual changes can serve as a catalyst. This research investigates whether pre-COVID-19 and pre-inflation unsustainable travel habits can be broken through the perceived impact of COVID-19, financial hardship, and green consumption values, increasing the intention for sustainable transportation modes using a survey design. We found that the context change, as such, does not predict future intentions to travel sustainably, but existing green consumption values do. Building on the self-activation theory, the results show that habits and the perceived impact of COVID-19 and financial hardship activate a person’s green consumption values. Consumers’ green values mediate the relationship between unsustainable habits and the intentions to use sustainable transportation modes, combining the habit discontinuity and self-activation hypotheses.
Full article
(This article belongs to the Special Issue The COVID-19 Effect on Sustainable Consumption)
►
Show Figures
Open AccessArticle
Conversion of Post-Refining Waste MONG to Gaseous Fuel in a Rotary Gasifier
by
Andrzej Sitka, Piotr Szulc, Daniel Smykowski, Beata Anwajler, Tomasz Tietze and Wiesław Jodkowski
Sustainability 2024, 16(10), 4251; https://doi.org/10.3390/su16104251 (registering DOI) - 18 May 2024
Abstract
Biodiesel manufacturing frequently employs sustainable materials like soybeans, microorganisms, palm extract, jatropha plant, and recycled frying oils. The expansion of biodiesel manufacturing has escalated the volume of waste byproducts, encompassing glycerin and non-glycerin organic matter (MONG), jointly known as raw glycerin. MONG is
[...] Read more.
Biodiesel manufacturing frequently employs sustainable materials like soybeans, microorganisms, palm extract, jatropha plant, and recycled frying oils. The expansion of biodiesel manufacturing has escalated the volume of waste byproducts, encompassing glycerin and non-glycerin organic matter (MONG), jointly known as raw glycerin. MONG is characterized by a low calorific value, a high autoignition temperature, and significant viscosity at room temperature. As a waste product, it negatively affects the natural environment due to the lack of viable disposal methods. Hence, there is a need for its conversion into high-calorific gaseous fuel with significantly less environmental impact. One of the methods for converting MONG into gaseous fuel is the pyrolysis process. This study describes the pyrolytic conversion of MONG conducted on a test stand consisting of a rotating chamber with a shell filled with liquid lead as a heating medium. Based on the measurements and balance calculations, the amount of heat required to preserve the autothermal process was determined. The calorific value and composition of the pyrolytic gas were measured, revealing that 70% of the gas involves compounds characterized by a high calorific value. As a result, the calorific value of dry, purified gas equals 35.07 MJ/kg. A life cycle assessment has been conducted, in order to determine if the produced gaseous fuel matches sustainable development criteria. MONG-based gas is a sustainable replacement of, e.g., natural gas, lignite, or hard coal; however, it allows us to avoid 233–416 kg/h CO2 emissions per 1 MWt of heat.
Full article
(This article belongs to the Special Issue Biomass Conversion and Green Technology)
►▼
Show Figures
Figure 1
Open AccessArticle
Scrap Steel Recycling: A Carbon Emission Reduction Index for China
by
Hao Hao, Haolong Wu, Fangfang Wei, Zhaoran Xu and Yi Xu
Sustainability 2024, 16(10), 4250; https://doi.org/10.3390/su16104250 (registering DOI) - 18 May 2024
Abstract
Accurately assessing carbon emissions from recycling scrap steel is essential for reducing emissions in the steel industry, especially in China, the world’s largest crude steel producer. In this study, a carbon emission reduction index was introduced to evaluate the effectiveness of recycling scrap
[...] Read more.
Accurately assessing carbon emissions from recycling scrap steel is essential for reducing emissions in the steel industry, especially in China, the world’s largest crude steel producer. In this study, a carbon emission reduction index was introduced to evaluate the effectiveness of recycling scrap steel in reducing emissions. The index considers the three processes used in scrap steel recycling: blast furnace ironmaking, converter steelmaking, and electric arc furnace steelmaking. This study developed an evaluation model using fuzzy analytic hierarchy process and iterative cluster analysis to determine the reduction of carbon emission. From a life cycle perspective, this study identified primary factors contributing to emissions, including fuel, raw materials, electric energy, and auxiliary materials. Then, the carbon emission reduction index for scrap recycling was developed by examining the production of one ton of steel and each additional ton of scrap steel, which can provide valuable insights into the environmental impact of scrap recycling. Finally, the study forecasts the future Carbon Emission Reduction Index for steel scrap recycling. The study indicates an increase in the carbon emission reduction index for scrap recycling prior to 2017, followed by a decrease about 11.8% from 2017 to 2018 and increases from 2018 to 2021. Finally, it dropped by 8.7% per cent in 2022. Similarly, the carbon emission reduction index for electric furnace steelmaking increased prior to 2019, then subsequently decreased. It is changing by ten per cent a year. Additionally, the scrap recycling index experienced a significant decrease of 90% in 2015, followed by a gradual increase until 2017 and then a consistent decrease every year thereafter. The index suddenly rose in 2021 and then decreased change for policy reasons. The forecast results suggest a gradual increase in the carbon emission reduction index per ton of steel scrap in the future. In conclusion, the practicable modeling methodology has the ability to assist government organizations and private enterprises in devising efficient green and low-carbon development tactics.
Full article
(This article belongs to the Section Waste and Recycling)
►▼
Show Figures
Figure 1
Open AccessArticle
Electric Vehicle Supply Chain Risk Assessment Based on Combined Weights and an Improved Matter-Element Extension Model: The Chinese Case
by
Huixin Liu and Xiang Hao
Sustainability 2024, 16(10), 4249; https://doi.org/10.3390/su16104249 - 17 May 2024
Abstract
In order to meet energy and environmental challenges, many countries will implement the replacement of fuel vehicles for the future clean energy transition; so, the number of electric vehicles (EVs) operating in cities will grow significantly. It is crucial to assess the risks
[...] Read more.
In order to meet energy and environmental challenges, many countries will implement the replacement of fuel vehicles for the future clean energy transition; so, the number of electric vehicles (EVs) operating in cities will grow significantly. It is crucial to assess the risks of the electric vehicle supply chain (EVSC) and prevent them. Based on this, this paper proposes an EVSC risk research framework with combined weights and an improved matter-element extension model: (i) Firstly, the EVSC evaluation index system is constructed from the six stages of supply chain planning, sales, procurement, manufacturing, distribution, after-sales, and external risks. (ii) The subjective and objective weights are calculated by the decision laboratory method and entropy weight method, respectively, and then the minimum deviation method is used for a combined design to overcome the defects of a single method. (iii) An improved matter-element extension model (MEEM) is constructed by introducing asymmetric proximity degree and risk bias. (iv) The model is applied to a case study and its feasibility and superiority are verified through sensitivity analysis and comparative analysis. The final results show that the method and framework proposed in this paper are in line with EVSC risk assessment standards and superior to other models, which can help EVSC managers to identify potential risks, formulate appropriate risk prevention measures, promote the stable development of electric vehicles, and provide a reference for the development of energy and environment.
Full article
Open AccessArticle
The Synergy of Ambidextrous Leadership, Agility, and Entrepreneurial Orientation to Achieve Sustainable AI Product Innovation
by
Shuxin Zhang and Sid Suntrayuth
Sustainability 2024, 16(10), 4248; https://doi.org/10.3390/su16104248 - 17 May 2024
Abstract
This study aims to explore potential mechanisms of ambidextrous leadership (AL) in product innovativeness from the perspective of organizational agility (OA) and entrepreneurial orientation (EO) in firms operating in the artificial intelligence (AI) industry. A quantitative research method was used with 405 questionnaires,
[...] Read more.
This study aims to explore potential mechanisms of ambidextrous leadership (AL) in product innovativeness from the perspective of organizational agility (OA) and entrepreneurial orientation (EO) in firms operating in the artificial intelligence (AI) industry. A quantitative research method was used with 405 questionnaires, and the respondents were randomly selected from reputable databases. Structural equation modeling was employed to evaluate the model fit and conduct hypothesis testing. The findings suggest that ambidextrous leadership demonstrates a significant positive influence on product innovativeness and OA; also, through the mediating role of OA, it is possible to analyze both the direct and indirect relationships among the factors. Additionally, the moderating effect of EO on the intercorrelations among these factors was explored. This study enhances existing knowledge on leadership dynamics in the context of new product development, highlights the importance of adaptability in leadership, and sheds light on the interplay between OA, EO, and new product innovation. This study highlights the role of product innovativeness in sustainable AI product development. Enhanced product innovativeness not only sustains AI product development but also promotes environmental sustainability. This is achieved through the minimization of energy use, reduction in material requirements, and prevention of pollution. Firms are using these insights to develop sustainable and eco-friendly products, as well as create new market opportunities while reducing environmental impact. This research underscores the interconnectedness of factors in this study and sustainability, providing a new perspective on sustainable AI product development.
Full article
(This article belongs to the Section Sustainable Management)
Open AccessArticle
A Measurement of Perceptions of the Forest Ecosystem among Visitors to the AL-Sunut Forest Reserve in Khartoum, Sudan
by
Suliman Yusif, Yukun Cao, Abdelazim Eissa, Elsamoal Elzaki and Ammar Khalil
Sustainability 2024, 16(10), 4247; https://doi.org/10.3390/su16104247 - 17 May 2024
Abstract
►▼
Show Figures
The present study aimed to understand visitors’ perceptions of the ecosystem service functions of the AL-Sunut Forest Reserve, as well as their recreational activities. Here, the impact of respondents’ socioeconomic status on visitors’ perceptions was statistically analyzed by t-tests and ANOVA (SPSS
[...] Read more.
The present study aimed to understand visitors’ perceptions of the ecosystem service functions of the AL-Sunut Forest Reserve, as well as their recreational activities. Here, the impact of respondents’ socioeconomic status on visitors’ perceptions was statistically analyzed by t-tests and ANOVA (SPSS software v26). Meanwhile, multiple regression analysis was conducted to identify the relationships between factors shaping respondents’ perceptions of the AL-Sunut Forest during recreational activities. A total of 441 visitors were randomly selected and questioned through a questionnaire survey during February and March 2020. The results showed that visitors believed the recreational forest site was important and valuable and were willing to revisit it. Visitors also demonstrated a particular understanding of the ecosystem services provided by the forest ecosystem. There were significant differences in perceptions of ecosystem services among visitors of different backgrounds. The findings indicated that 79% of participants responded positively towards the importance of environmental education compared with any other education. In addition, 90% of respondents believed that habitats and natural resources such as forests must be protected. The results of the recreational activities of visitors showed that they acquired the most benefits when experiencing picturesque scenery and walking. Overall, the present findings can pave the way for decision-makers to develop a unique plan focusing on forests to implement an exhaustive approach to assessing the value of ecosystem services while emphasizing the general public’s welfare. The study’s results can also contribute to the future management of the AL-Sunut Forest.
Full article
Figure 1
Open AccessArticle
How Do Institutional and Technological Innovations Influence the Smart City Governance? Focused on Stakeholder Satisfaction and Crime Rate
by
Syed Asad Abbas Bokhari and Myeong Seunghwan
Sustainability 2024, 16(10), 4246; https://doi.org/10.3390/su16104246 - 17 May 2024
Abstract
Effective institutional and technological development are key to governance in smart cities. This study investigates the fundamental complexities of institutional and technological innovations in smart cities. A city’s innovation capabilities depend significantly on its technology and implementation capacity. This study suggests that institutional
[...] Read more.
Effective institutional and technological development are key to governance in smart cities. This study investigates the fundamental complexities of institutional and technological innovations in smart cities. A city’s innovation capabilities depend significantly on its technology and implementation capacity. This study suggests that institutional and technological innovation serve a role that moderates the relationships between smart city governance, stakeholder satisfaction, and crime rate. Multiple regression models were developed by surveying 496 Pakistani citizens with a questionnaire. Using stakeholders and innovation theories, analyzing the relationships between smart governance, stakeholder satisfaction, and city crime rates reveals a moderating role of institutional and technological innovation. The findings showed that institutional and technological innovations have strengthened the stakeholder satisfaction level while weakening the crime rate in a smart city.
Full article
(This article belongs to the Special Issue Smart Cities and Smart Villages and the Global Digital Transformation: Strategy and Community Engagement—2nd Edition)
Open AccessArticle
Exploring Climate-Induced Agricultural Risk in Saudi Arabia: Evidence from Farming Communities of Medina Region
by
Bader Alhafi Alotaibi, Weizhou Xu, Ashfaq Ahmad Shah and Wahid Ullah
Sustainability 2024, 16(10), 4245; https://doi.org/10.3390/su16104245 - 17 May 2024
Abstract
Agriculture is vital to the Saudi Arabian economy since it provides food and other necessities to people living in rural areas, as well as those living in adjacent cities. Notwithstanding its considerable economic importance, the agricultural sector is confronted with formidable obstacles due
[...] Read more.
Agriculture is vital to the Saudi Arabian economy since it provides food and other necessities to people living in rural areas, as well as those living in adjacent cities. Notwithstanding its considerable economic importance, the agricultural sector is confronted with formidable obstacles due to climate change, such as elevated temperatures, floods, extreme droughts, and decreased agricultural yields. Building a farming system capable of being climate resilient requires the comprehension of the vulnerabilities of farm households and related systems. This paper deals with the potential agricultural risks resulting from climate change in Saudi Arabia. In addition to concentrating on precipitation and temperature, the present research incorporates the three main components of the Climate Change Vulnerability Index (CCVI): sensitivity, exposure, and adaptive capability. The results of this research reveal a notable challenge that farmers in Saudi Arabia encounter, as they are very susceptible to the impacts of climate change. The Climate Change Vulnerability Index (CCVI) has a score of 0.730, signifying a substantial degree of vulnerability. The farmers in this region are very susceptible to uncertainties caused by climate change, as indicated by the significant exposure score of 0.725. This exposure comprises a wide range of concerns resulting from fluctuations in temperature, patterns of rainfall, and occurrences of severe weather, all of which have an immediate and negative effect on agriculture. Farmers in that region are more susceptible to the effects of climate change, which could jeopardize their livelihoods and agricultural operations, as shown by the susceptibility component (SVI) of 0.559. Moreover, the adaptive capacity (AVI) score of 0.567 highlights the fact that farmers have limited access to resources, skills, and experience, hindering their ability to tackle the challenges that have been caused by climate change in this region successfully. The results emphasize the immediate necessity for specific policies and assistance to enhance the resilience of agricultural communities in the area, as well as to mitigate the potential adverse effects of climate change on their livelihoods.
Full article
Open AccessArticle
Impacts of Crop-Specific Agricultural Practices on the Accumulation of Heavy Metals in Soil in Kvemo Kartli Region (Georgia): A Preliminary Assessment
by
Giorgi Gventsadze, Giorgi Ghambashidze, Zaur Chankseliani, Ioseb Sarjveladze and Winfried E. H. Blum
Sustainability 2024, 16(10), 4244; https://doi.org/10.3390/su16104244 (registering DOI) - 17 May 2024
Abstract
Maintaining sufficient levels of plant nutrients in the soil and controlling certain heavy metals, which can be toxic to the environment, are critical to ensure sustainable agricultural production. The study aimed to assess the linkage of crop-specific agricultural practices established by farmers in
[...] Read more.
Maintaining sufficient levels of plant nutrients in the soil and controlling certain heavy metals, which can be toxic to the environment, are critical to ensure sustainable agricultural production. The study aimed to assess the linkage of crop-specific agricultural practices established by farmers in the Kvemo Kartli region (Georgia) with metal accumulation in soils of agricultural lands being subject to influence from polluted irrigation water in the past. In particular, we tried to identify the primary sources of micro-nutrients, including iron (Fe), copper (Cu), manganese (Mn), nickel (Ni), and zinc (Zn), and toxic elements such as cadmium (Cd) and lead (Pb), and the share of the contaminated irrigation water and other factors related to agricultural practices under different land uses, such as intensive and extensive arable farming, vineyards, orchards, and permanent pastures having the least disturbed soil. Based on principal component analysis, five primary sources were identified and categorized according to farmer interviews and previous studies conducted in the region. The results showed that increased concentrations of plant-available Cu, Zn, Cd, and Pb were mainly associated with irrigation water and intensive use of fungicides; Fe, Mn, and Ni were closely linked to several factors, such as the mineralogical composition of soils, minerals, and organic fertilizers inputs; and atmospheric deposition from diffuse sources, where exhausts from transport are probably the primary source. During our study, we attempted to differentiate irrigation water inputs from fungicides using simulation based on irrigation patterns and irrigation water quality on the one hand and fungicide application rates and their metal contents on the other. The simulation revealed that the intensive application of fungicides, especially in vineyards, is more significant in enriching soils with Cu and Zn than irrigation water. Identification of factorial dependences was supported by statistical analysis and application of several contamination assessment methods: contamination factor (CF), pollution load index (PLI), single-factor pollution index (PI), Nemerow’s comprehensive pollution index (PIN), enrichment factor (EF), and geo-accumulation index (Igeo). Applied environmental indices indicate that the soils under the former and existing vineyards are the most enriched with Cu and Zn, highlighting the significance of agricultural practices on heavy metal accumulations in the soils of agricultural lands.
Full article
(This article belongs to the Topic Soil Fertility and Plant Nutrition for Sustainable Agriculture)
Open AccessArticle
Sustainable Enzymatic Production of Omega-3 Oil from Squid Viscera
by
Md Amdadul Haque, Taiwo O. Akanbi, Brendan J. Holland, Moninder Sachar and Colin J. Barrow
Sustainability 2024, 16(10), 4243; https://doi.org/10.3390/su16104243 - 17 May 2024
Abstract
Fish oils are widely consumed around the world to increase omega-3 fatty acid intake. Due to negative impacts on marine resources and ecosystems from an increasing demand for fish, alternative sustainable sources are under investigation. Squid viscera contains up to 10% oil by
[...] Read more.
Fish oils are widely consumed around the world to increase omega-3 fatty acid intake. Due to negative impacts on marine resources and ecosystems from an increasing demand for fish, alternative sustainable sources are under investigation. Squid viscera contains up to 10% oil by mass and is available as a byproduct from squid processing. Squid viscera oil is a source of EPA and DHA and contains the xanthophyll carotenoid astaxanthin, known for its significant anticancer, antioxidant, antidiabetic, and cardiovascular properties. In the raw form, squid viscera oil has a high free fatty acid (FFA) content, so conventional alkaline refining results in low yield and loss of astaxanthin. As a higher-yielding alternative, the current study optimized lipase-catalyzed glycerolysis of squid viscera oil to convert FFA into acylglycerol using a custom-built one-liter immobilized enzyme reactor. To monitor the reaction progress and assess its impact on the oil, we analyzed lipid classes, fatty acid composition and astaxanthin levels. Under optimized conditions, FFA was reduced from 40% to 2.7% in 10 h and 1.7% in 24 h, with no significant effect on EPA and DHA levels, and astaxanthin being retained. Squid viscera presents a safe and sustainable additional source of marine-derived EPA and DHA oil.
Full article
(This article belongs to the Special Issue Marine Biotechnology for Sustainability of Ecologically Significant Resources)
►▼
Show Figures
Figure 1
Open AccessArticle
Determinants of Yearly CO2 Emission Fluctuations: A Machine Learning Perspective to Unveil Dynamics
by
Christian Mulomba Mukendi, Hyebong Choi, Suhui Jung and Yun-Seon Kim
Sustainability 2024, 16(10), 4242; https://doi.org/10.3390/su16104242 - 17 May 2024
Abstract
►▼
Show Figures
In order to understand the dynamics in climate change, inform policy decisions and prompt timely action to mitigate its impact, this study provides a comprehensive analysis of the short-term trend of the year-on-year CO2 emission changes across ten countries, considering a broad
[...] Read more.
In order to understand the dynamics in climate change, inform policy decisions and prompt timely action to mitigate its impact, this study provides a comprehensive analysis of the short-term trend of the year-on-year CO2 emission changes across ten countries, considering a broad range of factors including socioeconomic factors, CO2-related industry, and education. This study uniquely goes beyond the common country-based analysis, offering a broader understanding of the interconnected impact of CO2 emissions across countries. Our preliminary regression analysis, using the ten most significant features, could only explain 66% of the variations in the target. To capture the emissions trend variation, we categorized countries by the change in CO2 emission volatility (high, moderate, low with upward or downward trends), assessed using standard deviation. We employed machine learning techniques, including feature importance analysis, Partial Dependence Plots (PDPs), sensitivity analysis, and Pearson and Canonical correlation analyses, to identify influential factors driving these short-term changes. The Decision Tree Classifier was the most accurate model, with an accuracy of 96%. It revealed population size, CO2 emissions from coal, the three-year average change in CO2 emissions, GDP, CO2 emissions from oil, education level (incomplete primary), and contribution to temperature rise as the most significant predictors, in order of importance. Furthermore, this study estimates the likelihood of a country transitioning to a higher emission category. Our findings provide valuable insights into the temporal dynamics of factors influencing CO2 emissions changes, contributing to the global efforts to address climate change.
Full article
Figure 1
Open AccessArticle
Environmental Sustainability Analysis of Land Use/Land Cover Change Using the WEI Index: Application to the Municipalities around the Doñana Area in Spain
by
Jesús-María Sánchez-González, Javier Rodrigo-Ilarri, Claudia P. Romero and María-Elena Rodrigo-Clavero
Sustainability 2024, 16(10), 4241; https://doi.org/10.3390/su16104241 - 17 May 2024
Abstract
This paper presents a novel definition of the Weighted Environmental Index (WEI) specifically adapted to integrate with the official land use and land cover (LULC) cartographic historical database employed in Andalusia. This adapted WEI framework was applied to investigate land use changes within
[...] Read more.
This paper presents a novel definition of the Weighted Environmental Index (WEI) specifically adapted to integrate with the official land use and land cover (LULC) cartographic historical database employed in Andalusia. This adapted WEI framework was applied to investigate land use changes within municipalities surrounding the Doñana area (South of Spain). The analysis focused on the period 1991–2016, with a detailed examination of land use modifications in thirteen individual municipalities. The results demonstrate the WEI’s adaptability in incorporating information from diverse databases. Furthermore, they highlight the importance of integrating the analysis of WEI evolution over time. This combined approach facilitates a deeper understanding of the socio-economic and environmental drivers influencing land use changes in municipalities around the Doñana area. The findings reveal a sustained decrease in WEI values over the analyzed period. This decline is attributed to the expansion of irrigated cropland at the expense of rain-fed agriculture. Additionally, a significant increase in greenhouse surface area was observed. This intensification of agriculture has contributed to aquifer overexploitation, with potential environmental consequences for the Doñana area.
Full article
(This article belongs to the Section Pollution Prevention, Mitigation and Sustainability)
Open AccessArticle
A Study on the Factors Influencing the Sustainable Development of Education in the Context of COVID-19: Tencent Conference Online Platform
by
Xin Wang, Xingmeng Ma, Ziyi Wang and Yanlong Guo
Sustainability 2024, 16(10), 4240; https://doi.org/10.3390/su16104240 - 17 May 2024
Abstract
The difficulties of offline education caused by the COVID-19 epidemic are attracting increasing public attention. Although international research on online education platforms is gradually deepening, the research on the influencing factors of Chinese users’ participation in these platforms shows different results due to
[...] Read more.
The difficulties of offline education caused by the COVID-19 epidemic are attracting increasing public attention. Although international research on online education platforms is gradually deepening, the research on the influencing factors of Chinese users’ participation in these platforms shows different results due to regional differences. Therefore, this study adopts the technology acceptance model (TAM) as the basis to build the index system of influencing factors for the Tencent conference online education platform. The questionnaire design covered five dimensions, including external environment, platform satisfaction, and continuous use intention. An online questionnaire survey was conducted on participants in some regions of China, 320 questionnaires were distributed, and 297 valid questionnaires were collected. The data were analyzed by SPSS 26.0, and the results of Cronbach’s coefficient of 0.939 and a KMO value of 0.941 were obtained. The weight value, entropy value, and importance ranking of the factors were determined by combining hierarchical analysis and the entropy weighting method. First, the perceived ease of use is the most critical factor influencing the users’ use of online delivery platforms. Second, freedom from geographical time difference, the ease of operation, system perfection, and proficiency in use greatly influenced the participants’ use of the online lecture platform. Third, the study group suggested that the platform should be optimized in terms of convenience, stability, and freedom from geographical time difference, and provide reasonable references and lessons for future educational efforts.
Full article
Open AccessReview
Mapping the Landscape of the Literature on Environmental, Social, Governance Disclosure and Firm Value: A Bibliometric Analysis and Systematic Review
by
Chun Cai, Saddam A. Hazaea, Mohammed Hael, Ebrahim Mohammed Al-Matari, Adeeb Alhebri and Abdulmajeed Mawhan H. Alfadhli
Sustainability 2024, 16(10), 4239; https://doi.org/10.3390/su16104239 - 17 May 2024
Abstract
Increased interest in sustainability and related issues has led to the development of disclosed corporate information on environmental, social, and governance (ESG) issues. Additionally, questions have arisen about whether these disclosures affect the firm’s value. Therefore, we conducted a bibliometric analysis coupled with
[...] Read more.
Increased interest in sustainability and related issues has led to the development of disclosed corporate information on environmental, social, and governance (ESG) issues. Additionally, questions have arisen about whether these disclosures affect the firm’s value. Therefore, we conducted a bibliometric analysis coupled with a systematic literature review (SLR) of the current literature in the Scopus database from 2001 to 2023. We utilized VOS viewer, Site Space, and R Studio tools for this analysis. Our findings indicate that the relationship between ESG disclosures and the firm’s value has different effects and that disclosure impacts through various channels, such as increasing stakeholder trust. Moreover, the keyword analysis results before and after 2015 demonstrate significant advancement in the utilization of a theoretical foundation in the literature. Furthermore, China (Country), “Universidad de Salamanca” (University), “Uyar, Ali and García-Sánchez, Isabel-María” (Authors), and “Sustainability” and “Corporate Social Responsibility and Environmental Management” (Journals) were the most contributing and influential in this field. On the other hand, the results revealed six thematic clusters: society, sustainable development, ESG, organization, innovation, and stakeholders. We found promising research paths and emerging themes through content analysis of these clusters, such as sustainability assurance, green innovation, and sustainable development goals (SDGs). This review concludes by providing a roadmap that includes emerging lines of research that can be explored in depth in future studies to promote better and more comprehensive integration to achieve sustainability and maximize firm value.
Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Open AccessSystematic Review
Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review
by
Muhammad Daud, Francesca Maria Ugliotti and Anna Osello
Sustainability 2024, 16(10), 4238; https://doi.org/10.3390/su16104238 - 17 May 2024
Abstract
This systematic review aims to synthesise Web-GIS evidence for managing natural hazards to share state-of-the-art practices and policies. A comprehensive search in SCOPUS, among other databases, identified 1775 articles published between 2014 and 2023. Following a selection process based on the PRISMA model,
[...] Read more.
This systematic review aims to synthesise Web-GIS evidence for managing natural hazards to share state-of-the-art practices and policies. A comprehensive search in SCOPUS, among other databases, identified 1775 articles published between 2014 and 2023. Following a selection process based on the PRISMA model, 65 articles met the inclusion criteria. The analysis revealed a growing trend over the past decade, with most research concentrated in the last three years. Eight crucial subtopics within the Web-GIS domain have emerged: Integrated Spatial Analysis and Modelling, Technologies and Infrastructure, Visualisation and User Interface Design, Decision Support Systems, Real-time Monitoring and Early Warning, Disaster Recovery and Resilience, Citizen and Social Media Integration, and Multi-Stakeholder Collaboration. A substantial contribution of the literature has been identified in Decision Support Systems and Integrated Spatial Analysis, reflecting their vital role in strategising and predicting hazard impacts. Furthermore, a geographical distribution analysis revealed significant Web-GIS applications in countries like Italy and China, alongside a deficit in low- and middle-income countries. It also highlights potential gaps in hazard studies, including the need to prioritise heatwave management in the face of climate change. This research calls for policymakers and practitioners to leverage evidence-informed decision making and foster community collaboration for enhanced natural disaster resilience.
Full article
(This article belongs to the Section Hazards and Sustainability)
Open AccessArticle
Social Commerce and Customer-To-Customer Value Co-Creation Impact on Sustainable Customer Relationships
by
Abdullah A. Alhumud and Ibrahim A. Elshaer
Sustainability 2024, 16(10), 4237; https://doi.org/10.3390/su16104237 - 17 May 2024
Abstract
The advent of social commerce (SC) has transformed the landscape of online consumer behavior, emphasizing the significance of customer-to-customer relations in shaping sustainable relationships with customers. This research investigated the intricate relationships between social commerce dimensions, particularly suggestions and recommendations, forums and communities,
[...] Read more.
The advent of social commerce (SC) has transformed the landscape of online consumer behavior, emphasizing the significance of customer-to-customer relations in shaping sustainable relationships with customers. This research investigated the intricate relationships between social commerce dimensions, particularly suggestions and recommendations, forums and communities, and ratings and reviews, and their influence on customer-to-customer value co-creation (C2CVCC) and sustainable customer relationships (SCRs). A questionnaire was designed and administered to 635 respondents. We examined the psychometric properties of the measurements and subsequently applied partial least squares as a structural equation modeling method (PLS-SEM) for hypothesis testing. The findings revealed that the dimensions of SC significantly impact C2CVCC, with ratings and reviews playing a pivotal role. Furthermore, C2CVCC emerged as a substantial mediator in the path between SC and SCRs. The empirical analysis showcased strong support for the proposed model, with robust path coefficients (β) and p-values confirming direct and indirect effects. These findings offer valuable insights for businesses seeking to leverage SC and customer interactions to enhance SCRs in the digital era. Understanding the dynamics of C2CVCC within the context of SC has become essential for marketers and businesses aiming to thrive in today’s competitive online marketplace.
Full article
(This article belongs to the Special Issue Customer Perceptions of Sustainability in E-Commerce Practice)
Open AccessArticle
Study on Leaf Morphological and Stoichiometric Traits of Cunninghamia lanceolata Based on Different Provenances
by
Yihui Wang, Xiang Niu and Bing Wang
Sustainability 2024, 16(10), 4236; https://doi.org/10.3390/su16104236 - 17 May 2024
Abstract
The purpose of this study is to look into the differences in leaf functional traits between Cunninghamia lanceolata from different provenances, as well as to expose the response characteristics of leaf morphological and stoichiometric traits of Cunninghamia lanceolata from different provenances to diverse
[...] Read more.
The purpose of this study is to look into the differences in leaf functional traits between Cunninghamia lanceolata from different provenances, as well as to expose the response characteristics of leaf morphological and stoichiometric traits of Cunninghamia lanceolata from different provenances to diverse the environment of provenances. In this study, we chose 30 Cunninghamia lanceolata from different provenances as the research object and analyze the differences in leaf morphological and stoichiometric traits of Cunninghamia lanceolata from different provenances, the relationships among leaf functional traits, and the relationships between leaf functional traits and environmental factors of provenances. The results showed that the coefficient of variation of leaf morphological traits was 15.31% to 22.86%,and the coefficient of variation of stoichiometry provenances was 3.19% to 26.05%. The coefficient of variation of leaf carbon content was relatively small,indicating that carbon is the most stable element in the Cunninghamia lanceolata. And significant correlations are observed among different leaf functional traits. Using redundancy analysis to explore the relationship between leaf functional traits and environmental factors of provenances, it was found that the genetic effects of environmental factors explained 43.19% of the heterogeneity in leaf functional traits of Cunninghamia lanceolata. As a result, studying the variation of leaf functional traits of Cunninghamia lanceolata from different provenances, as well as how they correlate with environmental factors in provenances, is critical for understanding and predicting the responses and adaptations of Cunninghamia lanceolata from different provenances in the backdrop of global changes in the environment, and it additionally serves as a scientific basis for the sustainable development of Cunninghamia lanceolata and the selection of excellent Cunninghamia lanceolata provenances. Meanwhile, it makes scientific recommendations for China to do research on the sustainable development and productivity enhancement of cedar plantation forests.
Full article
Open AccessArticle
Optimizing Residential Construction Site Selection in Mountainous Regions Using Geospatial Data and eXplainable AI
by
Dhafer Alqahtani, Javed Mallick, Abdulmohsen M. Alqahtani and Swapan Talukdar
Sustainability 2024, 16(10), 4235; https://doi.org/10.3390/su16104235 - 17 May 2024
Abstract
The rapid urbanization of Abha and its surrounding cities in Saudi Arabia’s mountainous regions poses challenges for sustainable and secure development. This study aimed to identify suitable sites for eco-friendly and safe building complexes amidst complex geophysical, geoecological, and socio-economic factors, integrating natural
[...] Read more.
The rapid urbanization of Abha and its surrounding cities in Saudi Arabia’s mountainous regions poses challenges for sustainable and secure development. This study aimed to identify suitable sites for eco-friendly and safe building complexes amidst complex geophysical, geoecological, and socio-economic factors, integrating natural hazards assessment and risk management. Employing the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), the study constructed a suitability model incorporating sixteen parameters. Additionally, a Deep Neural Network (DNN) based on eXplainable Artificial Intelligence (XAI) conducted sensitivity analyses to assess the parameters’ influence on optimal location decision making. The results reveal slope as the most crucial parameter (22.90%), followed by altitude and land use/land cover (13.24%), emphasizing topography and environmental considerations. Drainage density (11.36%) and rainfall patterns (9.15%) are also significant for flood defense and water management. Only 12.21% of the study area is deemed “highly suitable”, with “no-build zones” designated for safety and environmental protection. DNN-based XAI demonstrates the positive impact of variables like the NDVI and municipal solid waste generation on site selection, informing waste management and ecological preservation strategies. This integrated methodology provides actionable insights for sustainable and safe residential development in Abha, aiding informed decision making and balancing urban expansion with environmental conservation and hazard risk reduction.
Full article
(This article belongs to the Section Sustainability in Geographic Science)
►▼
Show Figures
Figure 1
Open AccessReview
Comprehensive Analysis of Industrial Solid-Waste-to-Energy by Refuse-Derived Fuel Technology: A Case Study in Shanghai
by
Ting Li, Wei Li, Ziyang Lou and Luochun Wang
Sustainability 2024, 16(10), 4234; https://doi.org/10.3390/su16104234 - 17 May 2024
Abstract
The prolific generation of industrial solid waste (ISW) in China, coupled with its complex composition, presents significant challenges due to exceeding environmental capacity. Identifying an appropriate approach to maximize the use of ISW, particularly low-value industrial solid waste (LISW), is crucial for addressing
[...] Read more.
The prolific generation of industrial solid waste (ISW) in China, coupled with its complex composition, presents significant challenges due to exceeding environmental capacity. Identifying an appropriate approach to maximize the use of ISW, particularly low-value industrial solid waste (LISW), is crucial for addressing environmental issues. This study explores the potential of converting LISW into refuse-derived fuel (RDF), an energy-rich precursor, as a promising method for disposal and reutilization. The advantages of RDF lie primarily in two key areas: management and technology. Regulatory aspects cover principles governing RDF feedstock preparation, storage and transportation requirements, and pollutant emission regulations. Technical considerations include pretreatment techniques, additive selection, and analyzing RDF as a substitute for fossil fuels. To assess the effectiveness of RDF technology in harnessing the remaining energy from LISW, this paper provides an overview of relevant national laws and regulations concerning incineration plants, guiding the utilization of RDF in such facilities. Additionally, using Shanghai as a case study, we evaluate the ISW situation, domestic waste incineration plants, and cement kiln plants to identify potential scenarios for RDF application in future energy systems. Our findings suggest that LISW holds significant potential as a power plant fuel, particularly when blended with higher calorific value materials to produce RDF particles with exceptional combustion performance, density, and storage characteristics.
Full article
(This article belongs to the Special Issue Sustainability: Resources and Waste Management)
Open AccessArticle
Analysis of the Driving Mechanism of Urban Carbon Emission Correlation Network in Shandong Province Based on TERGM
by
Jiekun Song, Huisheng Xiao and Zhicheng Liu
Sustainability 2024, 16(10), 4233; https://doi.org/10.3390/su16104233 - 17 May 2024
Abstract
Analyzing the driving factors and mechanisms of urban carbon emission correlation networks can provide effective carbon reduction decision-making support for Shandong Province and other regions with similar industrial characteristics. Based on industrial carbon emission data from various cities in Shandong Province from 2013
[...] Read more.
Analyzing the driving factors and mechanisms of urban carbon emission correlation networks can provide effective carbon reduction decision-making support for Shandong Province and other regions with similar industrial characteristics. Based on industrial carbon emission data from various cities in Shandong Province from 2013 to 2021, the spatial correlation network of carbon emission was established by using a modified gravity model. The characteristics of the network were explored by using the Social Network Analysis (SNA) method, and significant factors affecting the network were identified through Quadratic Assignment Procedure (QAP) correlation analysis and motif analysis. The driving mechanism of the carbon emission correlation network was analyzed by using Temporal Exponential Random Graph Models (TERGMs). The results show that: (1) The spatial correlation network of urban carbon emission in Shandong Province exhibits multi-threaded complex network correlations with a relatively stable structure, overcoming geographical distance limitations. (2) Qingdao, Jinan, and Rizhao have high degree centrality, betweenness centrality, and closeness centrality in the network, with Qingdao and Jinan being relatively central. (3) Shandong Province can be spatially clustered into four regions, each with distinct roles, displaying a certain “neighboring clustering” phenomenon. (4) Endogenous network structures such as Mutual, Ctriple, and Gwesp significantly impact the formation and evolution of the network, while Twopath does not show the expected impact; FDI can promote the generation of carbon emission reception relationships in the spatial correlation network; IR can promote the generation of carbon emission spillover relationships in the spatial correlation network; GS, differences in GDP, differences in EI, and similarities of IR can promote the generation of organic correlations within the network; on the temporal level, the spatial correlation network of urban carbon emission in Shandong Province has shown significant stability during the study period.
Full article
(This article belongs to the Special Issue Energy Sources, Carbon Emissions and Economic Growth)
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
Diversity, Geosciences, Land, Resources, Sustainability
Advances in Geodiversity Research
Topic Editors: Paulo Pereira, Murray Gray, Maria da Glória GarciaDeadline: 20 May 2024
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
Conferences
Special Issues
Special Issue in
Sustainability
Market Potential for Carsharing Services
Guest Editor: Lucia RotarisDeadline: 25 May 2024
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: Shagufta Khan, Adil SaeedDeadline: 30 June 2024
Topical Collections
Topical Collection in
Sustainability
Tourism Research and Regional Sciences
Collection Editors: Laszlo VASA, Setiawan Priatmoko, Lóránt Dénes Dávid
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: Liyang Fan, Shi-Jie Cao, Xilian Luo, Yupeng Wang
Topical Collection in
Sustainability
Sustainable Soil Management in a Changing Climate
Collection Editors: José Alfonso Gómez, Luuk Fleskens, Giuseppe Montanaro, Georgios Koubouris