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
Prediction and Optimization Analysis of the Performance of an Office Building in an Extremely Hot and Cold Region
Sustainability 2024, 16(10), 4268; https://doi.org/10.3390/su16104268 (registering DOI) - 18 May 2024
Abstract
The White Paper on Peak Carbon and Carbon Neutral Action 2022 states that China is to achieve peak carbon by 2030 and carbon neutrality by 2060. Based on the “3060 dual-carbon” goal, how to improve the efficiency of energy performance is an important
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The White Paper on Peak Carbon and Carbon Neutral Action 2022 states that China is to achieve peak carbon by 2030 and carbon neutrality by 2060. Based on the “3060 dual-carbon” goal, how to improve the efficiency of energy performance is an important prerequisite for building a low-carbon, energy-saving, green, and beautiful China. The office performance building studied in this paper is located in the urban area of Turpan, where the climate is characterized by an extremely hot summer environment and a cold winter environment. At the same time, the building is oriented east–west, with the main façade facing west, and the main façade consists of a large area of single-layer glass curtain wall, which is affected by western sunlight. As a result, there are serious problems with the building’s energy consumption, which in turn leads to excessive carbon emissions and high life cycle costs for the building. To address the above problems, this paper analyzes and optimizes the following four dimensions. First, the article creates a Convolutional Neural Network (CNN) prediction model with Total Energy Use in Buildings (TEUI), Global Warming Potential (GWP), and Life Cycle Costs (LCC) as the performance objectives. After optimization, the R2 of the three are 0.9908, 0.9869, and 0.9969, respectively, thus solving the problem of low accuracy of traditional prediction models. Next, the NSGA-II algorithm is used to optimize the three performance objectives, which are reduced by 41.94%, 40.61%, and 31.29%, respectively. Then, in the program decision stage, this paper uses two empowered Topsis methods to optimize this building performance problem. Finally, the article analyzes the variables using two sensitivity analysis methods. Through the above research, this paper provides a framework of optimization ideas for office buildings in extremely hot and cold regions while focusing on the four major aspects of machine learning, multi-objective optimization, decision analysis, and sensitivity analysis systematically and completely. For the development of office buildings in the region, whether in the early program design or in the later stages, energy-saving measures to optimize the design have laid the foundation of important guidelines.
Full article
(This article belongs to the Topic Sustainability, Challenges and Opportunities to Optimize Building Performance)
Open AccessArticle
The Relationship between Perceptions of High-Performance Work Systems and Corporate Social Responsibility (CSR) Considering the Moderating Effect of a Positive Diversity Climate
by
Ahmad Nasser Abuzaid, Elham Hmoud Al-Faouri, Manal Mohammad Alateeq, Saif-aldeen Marwan Madadha, Mohammed Yasin Ghadi, Aymn Sulieman Al-Qatawenh, Dmaithan Abdelkarim Almajali and Haya Abdul Kareem Almajali
Sustainability 2024, 16(10), 4267; https://doi.org/10.3390/su16104267 (registering DOI) - 18 May 2024
Abstract
Companies have shown interest in advanced human resource management as a means to secure distinctive competitive advantages for organizational survival and growth through sustainable management systems. Hence, in the current context, where sustainability in business is a growing concern, the objective of this
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Companies have shown interest in advanced human resource management as a means to secure distinctive competitive advantages for organizational survival and growth through sustainable management systems. Hence, in the current context, where sustainability in business is a growing concern, the objective of this study was to investigate the relationship between high-performance work systems and a company’s social performance, taking into account the organizational climate as a situational variable. Specifically, this study aimed to analyze the impact of perceptions of a high-performance work system on the perception of a company’s social responsibility (CSR) among employees of Jordanian companies with an organizational size of 300 or more. This study used 175 valid questionnaires, and SPSS and AMOS 24 were used to test the hypotheses. The results showed that there was a positive relationship between the perception of a high-performance work system and the perception of a company’s CSR. Furthermore, this study found that a positive diversity climate could enhance the positive relationship between the two. These findings suggest that high-performance work systems can contribute to the development of sustainable human resource management systems and that a positive diversity climate is essential in shaping these systems. Based on these results, it is recommended that companies implement HPWSs and encourage workforce diversity to maximize the value of CSR activities and ensure their sustainability.
Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Open AccessArticle
Changes in Land Use and Cover and Their Environmental Impacts in the Cerrado of Mato Grosso Do Sul, Brazil
by
Melina Fushimi, Gabriela Narcizo de Lima and Viviane Capoane
Sustainability 2024, 16(10), 4266; https://doi.org/10.3390/su16104266 (registering DOI) - 18 May 2024
Abstract
In Brazilian regional landscapes, the Cerrado has one of the richest flora among the savannas in the world, with a high level of endemism; however, many plant species are threatened with extinction as a consequence of spatio-temporal changes in land use and cover.
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In Brazilian regional landscapes, the Cerrado has one of the richest flora among the savannas in the world, with a high level of endemism; however, many plant species are threatened with extinction as a consequence of spatio-temporal changes in land use and cover. This study aimed to analyze changes in land use and cover in the upper course of the Ceroula stream basin, located in the Cerrado of Mato Grosso do Sul, Brazil, based on maps of land use and cover in 1985 and 2022, the normalized difference vegetation index (NDVI), precipitation data, and fieldwork. The results indicated that in 1985, forest vegetation was replaced by pasture, and in 2022, in addition to pasture, there was the introduction of soybean monoculture with corn in the off-season, influenced by the international commodities market. These land use and cover alterations, without adequate management and in the absence of conservation practices, led to environmental impacts, such as accelerated linear erosive processes (rill, ravine, and gully). The results may help provide important insights into the dynamics of land use and cover, the consequences of the lack of conservation practices, and the environmental impacts in the Cerrado of Mato Grosso do Sul, contributing to better understanding of the environmental challenges faced in the region and the need to provide subsidies for the development of sustainable management strategies.
Full article
(This article belongs to the Special Issue Applications of GIS and Remote Sensing in Soil Environment Monitoring 2nd Edition)
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Open AccessArticle
Re-Inventories at Two Study Sites in the Oberpfalz (Bavaria, Germany): Increase in RWA Nests, Herb Biodiversity and Dead Wood in Sustainably Managed Forests
by
Gabriele M. Berberich and Martin B. Berberich
Sustainability 2024, 16(10), 4265; https://doi.org/10.3390/su16104265 (registering DOI) - 18 May 2024
Abstract
A large-scale re-inventory of red wood ant (RWA; Formica rufa-group) nests and a comparative analysis of their presence/absence data was carried out for the first time in 2023 at two study sites in the Oberpfalz, NE Bavaria, Germany, to investigate the suspected
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A large-scale re-inventory of red wood ant (RWA; Formica rufa-group) nests and a comparative analysis of their presence/absence data was carried out for the first time in 2023 at two study sites in the Oberpfalz, NE Bavaria, Germany, to investigate the suspected decline of nests, their relationship with forestry aspects, and possible changes in spatial distribution due to tectonic activity (GeoBio-Interactions). We inventoried, in two sustainably managed forests, outstanding nest occurrences (5393 nests including 5276 active nests) and an increase of ≈8% over 4–7 years. Our results do not support claims that the number of nests in the Oberpfalz is in sharp decline. RWA preferred mature and medium–mature pine-dominated forests. Standing and downed dead wood did not negatively affect nests. The number of nests with woodpecker cavities and the diversity of the herb layer increased. Nests clusters in NW–SE direction suggest a strong interaction between nest distribution and active tectonics. Our (re-)inventory approach combined with the extensive photo database is a valuable tool for (a) monitoring the entire forest habitat including natural restocking, herb biodiversity, woodpecker cavities, and dead wood in, at, and around nests, and (b) identifying GeoBio-Interactions. Such an approach will lead to more realistic counts of RWA nests and provide scientific evidence of the current situation of nests occurrence. We suggest seven to eight years as an appropriate time interval for re-inventories.
Full article
(This article belongs to the Section Sustainable Forestry)
Open AccessArticle
The Operational Risk Disclosure Threshold Effect in the Earnings Management–Sustainability Firm Performance Nexus in Saudi Arabia: A Dynamic Panel Threshold Regression Model
by
Faizah Alsulami
Sustainability 2024, 16(10), 4264; https://doi.org/10.3390/su16104264 (registering DOI) - 18 May 2024
Abstract
Although the relationship between earnings management and firm performance has been well explored in the literature, sustainable performance has not yet been examined. Furthermore, the literature has not addressed the issue of nonlinearity between earnings management and firm performance. Therefore, this paper aims
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Although the relationship between earnings management and firm performance has been well explored in the literature, sustainable performance has not yet been examined. Furthermore, the literature has not addressed the issue of nonlinearity between earnings management and firm performance. Therefore, this paper aims to examine the potential nonlinear relationship between earnings management and sustainable firm performance in Saudi Arabia using a sample of 70 listed firms over the 2015–2022 period. Specifically, it investigates the operational risk disclosure threshold effect in the earning management–sustainable firm performance nexus. To do so, the dynamic panel threshold regression model (DPTR) is performed. The result proves that there is a threshold effect of operational risk disclosure in the relationship between earning management and sustainable firm performance. Specifically, the threshold values of operational risk disclosure for the three models are estimated at 6 between the low- and the high-operational-risk-disclosure regimes. In the lower regime, firm performance decreases when earning management increases; however, in the higher regime, firm performance increases when earning management increases. These outcomes support the predictions of agency and positive accounting theories.
Full article
Open AccessArticle
Battery Electric Vehicles: Travel Characteristics of Early Adopters
by
Yunwen Feng, Jean-Daniel Saphores, Hilary Nixon and Monica Ramirez Ibarra
Sustainability 2024, 16(10), 4263; https://doi.org/10.3390/su16104263 (registering DOI) - 18 May 2024
Abstract
Do U.S. households with battery electric vehicles (BEVs) drive less or more than U.S. households with internal combustion engine vehicles (ICEVs)? Answering this question is important to policymakers and transportation planners concerned with reducing vehicle miles traveled and the emissions of greenhouse gases
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Do U.S. households with battery electric vehicles (BEVs) drive less or more than U.S. households with internal combustion engine vehicles (ICEVs)? Answering this question is important to policymakers and transportation planners concerned with reducing vehicle miles traveled and the emissions of greenhouse gases from transportation. So far, this question has not been answered satisfactorily, possibly because of the relatively low number of EVs in the U.S. until recently, but also because of methodological issues. In this paper, we aim to fill this gap by analyzing data from the 2017 National Household Travel Survey (NHTS). We apply propensity score matching (PSM), a quasi-experimental method, to examine the differences in self-reported annual mileage and calculated daily mileage for various trip purposes among households with only BEVs (BEV-only), households with both BEVs and ICEVs (BEV+), and households without BEVs (non-BEV households). Our findings indicate that households with BEVs drive fewer annual miles than non-BEV households, but typically travel no less than they do for daily activities. This apparent discrepancy is likely due to taking fewer longer trips because the public charging infrastructure was still in its infancy in 2017, and its reliability was questionable. As technological progress is helping to overcome current battery limitations, policymakers may consider measures for fostering fast charging technologies while pondering new measures to fund both the charging infrastructure and the road network.
Full article
(This article belongs to the Section Sustainable Transportation)
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Open AccessArticle
Raising the Green Roof: Enhancing Youth Water Literacy through Built Environment Education
by
Laura B. Cole, Lilian Priscilla, Laura Zangori, Beth Kania-Gosche and Joel Burken
Sustainability 2024, 16(10), 4262; https://doi.org/10.3390/su16104262 (registering DOI) - 18 May 2024
Abstract
Green roofs cool cities, clean the air, provide habitat, and manage stormwater. They are compelling tools to teach interconnected human-ecological systems. This study included the design, pilot, and evaluation of a fourth-grade science unit entitled “Raising the Green Roof”, exploring these connections. Five
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Green roofs cool cities, clean the air, provide habitat, and manage stormwater. They are compelling tools to teach interconnected human-ecological systems. This study included the design, pilot, and evaluation of a fourth-grade science unit entitled “Raising the Green Roof”, exploring these connections. Five classrooms in two Midwestern U.S. public elementary schools participated, and 4th-grade students (n = 73) drew systems models at three time points (212 models) and wrote their ideas. Qualitative content analyses of the models showed that learners were increasingly combining social systems (green roof infrastructure) with ecological systems (water cycle) across the unit. Students also increasingly evidenced specific knowledge as they progressed through the unit. The analysis of student models revealed that most student confusion is related to built environment aspects (e.g., how water moves from building roofs to municipal waterways). Results of the study suggest the potential for teaching socio-hydrologic systems thinking at the fourth-grade level. The findings emphasize the need to enhance built environment education for youth in science units that aspire to connect features of the built environment, such as green roofs, with ecology. The study additionally reinforced the effectiveness of place-based units in elementary education that emphasize science practices.
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(This article belongs to the Section Sustainable Education and Approaches)
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Open AccessArticle
Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine
by
Yuming Huo, Dangwei Zhao, Defu Zhu and Zhonglun Wang
Sustainability 2024, 16(10), 4261; https://doi.org/10.3390/su16104261 (registering DOI) - 18 May 2024
Abstract
China has made notable advancements in the intelligent construction of coal mines. However, for longwall top coal caving (LTCC) mining faces, a key obstacle impeding the intelligent transition of the coal-cutting process is automated control. This paper focuses on the aforementioned issue and
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China has made notable advancements in the intelligent construction of coal mines. However, for longwall top coal caving (LTCC) mining faces, a key obstacle impeding the intelligent transition of the coal-cutting process is automated control. This paper focuses on the aforementioned issue and comprehensively considers the pre-, intra-, and post-coal-caving stages. In this work, diverse detection and monitoring technologies are integrated at various stages through a computer platform, facilitating the construction of an automated coal caving control system with self-perception, self-learning, self-decision-making, and self-execution capabilities. Key technologies include ground-penetrating radar-based top coal thickness detection, inertial navigation-based shearer positioning, tail beam vibration-based identification of coal and gangue, and magnetostrictive sensor-based monitoring of the tail beam and insert plate attitude. In this study, the 12309 working face of the Wangjialing Coal Mine was experimentally validated, and the efficacy of the aforementioned key technologies was assessed. The results demonstrated that the control requirements for automated coal caving are satisfied by the maximum errors. Automatic regulation of coal caving was realized through the implementation of this system, thereby facilitating initiation and cessation and yielding promising experimental outcomes. Overall, this system offers practical insights for intelligent construction in current LTCC mining faces and the sustainable development of coal resources.
Full article
(This article belongs to the Section Energy Sustainability)
Open AccessArticle
Seasonal Prevalence of Skin Lesions on Dolphins across a Natural Salinity Gradient
by
Makayla A. Guinn, Christina N. Toms, Carrie Sinclair and Dara N. Orbach
Sustainability 2024, 16(10), 4260; https://doi.org/10.3390/su16104260 (registering DOI) - 18 May 2024
Abstract
Bottlenose dolphins (Tursiops truncatus) inhabit waters across a broad natural salinity gradient and exhibit changes in skin condition based on the quality of their environment. Prolonged exposure to low salinities (≤10–20 ppt) degenerates the epidermal barrier and causes cutaneous lesions in
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Bottlenose dolphins (Tursiops truncatus) inhabit waters across a broad natural salinity gradient and exhibit changes in skin condition based on the quality of their environment. Prolonged exposure to low salinities (≤10–20 ppt) degenerates the epidermal barrier and causes cutaneous lesions in dolphins, while the role of high salinity exposure (>35 ppt) in lesion development remains unknown. We assessed seasonal lesion prevalence in three free-ranging dolphin stocks inhabiting coastal Gulf of Mexico (GoM) waters of different salinities (0–30 ppt, 22–35 ppt, and 36+ ppt) using images of dolphin bodies. Lesions were documented on 44% of the dolphins photographed (n = 432), and lesion occurrence was significantly related to cold seasons and water temperatures but not salinity. Cold water temperatures may heighten dolphin susceptibility to infectious pathogens and disease and compound the effects of anthropogenic pollutants in the GoM. As dolphins are a bioindicator species of marine habitat welfare, natural studies assessing dolphin skin may reveal environmental degradation with potential impacts on marine ecosystems and human health.
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(This article belongs to the Section Sustainable Oceans)
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Open AccessArticle
Sustainable CO2 Refrigeration System for Fish Cold Storage Facility Using a Renewable Integrated System with Solar, Wind and Tidal Energy for Cape Verde—Analyzing Scenarios
by
João Garcia and Arian Semedo
Sustainability 2024, 16(10), 4259; https://doi.org/10.3390/su16104259 (registering DOI) - 18 May 2024
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This study compares four feasible alternative solutions for an integrated cold storage system in the city of Tarrafal, Santiago, Cape Verde. Integrated systems using grid electricity are compared with autonomous systems generating electrical energy from renewable sources, alongside various types of refrigeration facility
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This study compares four feasible alternative solutions for an integrated cold storage system in the city of Tarrafal, Santiago, Cape Verde. Integrated systems using grid electricity are compared with autonomous systems generating electrical energy from renewable sources, alongside various types of refrigeration facility systems. Its objective is to assess the energy efficiency, financial feasibility, and environmental impact across four scenarios. Scenario 1 utilizes two R134a refrigeration units powered by the public grid. Scenario 2 employs a transcritical R744 (CO2) system using grid electricity. Scenario 3 incorporates R744 and autonomous renewable energy. Scenario 4 employs R744 for refrigeration with seawater heat exchange and autonomous renewable energy sources. The findings favor Scenario 4, emitting 15,882 kg CO2 eq with a 5-year return on investment. Autonomous electricity production in this scenario reduces emissions by 95%. Despite an initial cost of EUR 769,172.00, Scenario 3 demonstrates financial viability, contributing to energy sustainability. This autonomous production reduces emissions by 360,697 kg CO2 compared to conventional systems, highlighting the positive impact of local renewable energy integration.
Full article
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Open AccessReview
Utilisation of Machine Learning in Control Systems Based on the Preference of Office Users
by
Thayane L. Bilésimo and Enedir Ghisi
Sustainability 2024, 16(10), 4258; https://doi.org/10.3390/su16104258 (registering DOI) - 18 May 2024
Abstract
Reducing energy consumption is vital to save natural resources and contribute to the sustainable development in any sector of society. In the building sector, there are many well-known energy efficiency strategies currently being applied. However, considering the advances in technology and in comfort
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Reducing energy consumption is vital to save natural resources and contribute to the sustainable development in any sector of society. In the building sector, there are many well-known energy efficiency strategies currently being applied. However, considering the advances in technology and in comfort studies, it is possible to see that the current building sector scenario demands new energy efficiency strategies. Such strategies need to be capable of identifying and assuring comfortable environments according to users’ perceptions. Machine learning techniques can be a useful alternative to identify users’ preferences and control lighting and heating, ventilation and air-conditioning systems in buildings. This paper shows a systematic literature review on the use of machine learning algorithms on preference identification and environmental adequacy according to users’ demands. Its contribution is to explore beyond the performance and configurations of the algorithms, addressing users’ preference aspects as well. The strategies found in the literature provided promising results. The most used approach was supervised learning because data can be treated as categories. In general, the control systems have shown good performance, and so have the algorithms. Users were mostly satisfied with environmental conditions. Situations of dissatisfaction were associated with the occupant’s willingness to use the system more than with the control system’s performance. Furthermore, it is also possible to ally user-centred control and energy savings but this relies on occupants’ characteristics and the control strategies used. We underline the importance of identifying whether the users are willing to deal with an automatic control system before making any decision, even if the operation of the system is based on their preferred environmental conditions.
Full article
(This article belongs to the Special Issue Sustainability and Indoor Environmental Quality)
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Open AccessArticle
Assessment of Dust Deposition through Image Analysis in Complex and Remote Exhibition Sites: Study in the Cloister of the Santa María de El Paular Monastery in the Sierra de Guadarrama, Spain
by
Daniel Duran-Romero, Josep Grau-Bové, Héctor Bolivar-Sanz and Xilan Wu
Sustainability 2024, 16(10), 4257; https://doi.org/10.3390/su16104257 (registering DOI) - 18 May 2024
Abstract
Dust deposition is an important aspect of the conservation of heritage collections. Most proposed methods for dust monitoring focus on total area coverage or airborne concentrations. There is a lack of published data and methodologies to obtain size distributions of deposited particles on
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Dust deposition is an important aspect of the conservation of heritage collections. Most proposed methods for dust monitoring focus on total area coverage or airborne concentrations. There is a lack of published data and methodologies to obtain size distributions of deposited particles on real historic sites. The purpose of the study was to develop and describe a method for obtaining quantitative data from dust deposition without the need for sophisticated laboratory equipment, based on optical microscopy photography and software-based image analysis. Bare microscope slides were used as passive collectors of dust. Tests were carried out on a collection of oil paintings displayed in the cloister of the Monastery of Santa María de El Paular in the Sierra de Guadarrama in Spain for one year, with a distance of 100 km between this place and the laboratory. The designed method allowed for the detection of significant differences in deposition depending on the location and seasonal period. Vertically orientated bare slides did not provide relevant information and a magnification of 50× was not really useful. However, horizontal collectors and a magnification of 10× allowed studying the deposition of particles above 2 μm2.
Full article
(This article belongs to the Special Issue Application of Advanced Technology in Cultural Heritage Preservation)
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Open AccessArticle
Towards a Communication Ecology in the Life of Rural Senior Citizens: How Rural Public Spaces Influence Community Engagement
by
Zhiyu Feng, Longfei Li, Jingchun Zhang and Xinqun Feng
Sustainability 2024, 16(10), 4256; https://doi.org/10.3390/su16104256 (registering DOI) - 18 May 2024
Abstract
The dilemma of weak participation and non-participation of rural communities is a universal topic of global development. The rural public space is an important field for local residents to interact, communicate, and engage with each other, and is an important place for the
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The dilemma of weak participation and non-participation of rural communities is a universal topic of global development. The rural public space is an important field for local residents to interact, communicate, and engage with each other, and is an important place for the sustainable development of rural areas. However, previous studies have neglected to understand the intrinsic connection between rural public space and community participation from the perspective of community communication ecology. Based on the concept of age-friendly communities, this study’s fieldwork in rural Shanghai, China, using the methodology of grounded theory, found that physical, social, and psychological factors all have an impact on community engagement among rural residents. Specifically, environmental quality, facility support, community networks, social participation, call to action, place attachment, spatial perception, and self-transformation are identified as the core elements that significantly influence community engagement among rural residents. This study further reveals that the multiple factors influencing community engagement among rural residents are complex and interdependent rather than operating independently. Spatial support, communicative triggers, and symbolic identification, respectively, operate at the technological level (physical–social factors), social level (social–psychological factors), and discursive level (psychological–physical factors) to promote community engagement among older adults in Chinese rural areas. Through this research, we hope to further the realization of rural civic engagement and the sustainability of local communities and to provide scholarly insights into the promotion of more equitable community life.
Full article
(This article belongs to the Special Issue Environmental and Social Sustainability in Rural Development)
Open AccessArticle
Advances in the Sustainable Production of Fertilizers from Spent Zinc-Based Batteries
by
Silvia Patricia Barragán-Mantilla, Raquel Ortiz, Patricia Almendros, Laura Sánchez-Martín, Gabriel Gascó and Ana Méndez
Sustainability 2024, 16(10), 4255; https://doi.org/10.3390/su16104255 (registering DOI) - 18 May 2024
Abstract
Wastes from spent batteries are a secondary source of raw materials. To ensure this, it is mandatory to design sustainable and low-cost processes. In the case of alkaline and zinc–carbon-based batteries, the high content of Zn and Mn makes them of interest in
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Wastes from spent batteries are a secondary source of raw materials. To ensure this, it is mandatory to design sustainable and low-cost processes. In the case of alkaline and zinc–carbon-based batteries, the high content of Zn and Mn makes them of interest in the development of fertilizers. The main objective of this research is to study the fertilizers production from spent zinc-based batteries, using sulfuric acid, citric acid (CIT) and glycine (GLY) solutions as leaching agents. Leaching with glycine at alkaline pHs shows a high selectivity of Zn over Mn, whereas the use of citric and sulfuric solutions leads to recoveries of Zn and Mn. Solutions with the highest Zn recoveries were tested in sand columns. Commercial ZnSO4 heptahydrate was used as a control. For sulfuric acid, two solutions (H2SO4 2M and 0.25M) were used. The elution of leached Zn and Mn in sand columns depended on the solution added. The Zn-Mn-CIT treatment showed a slight but steady increase in the leachates, reaching 70% and 75% of the total leached Zn and Mn, respectively, in the medium term. The Zn-Mn-H2SO4 2M and ZnSO4 treatments showed a similar behavior in Zn release. Both Zn-Mn-GLY and Zn-Mn-H2SO4 0.25M treatments showed similar amounts of leached Mn in the medium term (77% of total leached Mn), differing in the leached Zn. Solutions from the leaching of spent black mass batteries, especially Zn-Mn-CIT or Zn-Mn-GLY, showed promising behavior as fertilizer from the point of view of Zn and Mn availability as nutrients.
Full article
(This article belongs to the Special Issue Sustainable Waste Management in the Context of Urban Environment)
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Open AccessArticle
The Impact of the Digital Economy on Population Dividends in China: Based on the Dual Perspective of Quantity and Quality
by
Jingyi Qin and Qingyu Xu
Sustainability 2024, 16(10), 4254; https://doi.org/10.3390/su16104254 (registering DOI) - 18 May 2024
Abstract
The demographic dividend plays an important role in promoting sustainable development in China. Here, we ask the question of how to use the digital economy to coordinate the “one body and two sides” of the demographic dividend. This study empirically examines the impact
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The demographic dividend plays an important role in promoting sustainable development in China. Here, we ask the question of how to use the digital economy to coordinate the “one body and two sides” of the demographic dividend. This study empirically examines the impact of digital economic development on the demographic dividend in a multidimensional way based on the panel data from 30 provincial-level administrative regions in China from 2011 to 2020. The study results show that (1) the digital economy significantly promotes the demographic quality dividend but exhibits a suppressive effect on the demographic quantity dividend; (2) the digital economy can indirectly influence the demographic quality and quantity dividends through urbanization; (3) when examining the threshold effects, the study uncovers noteworthy dynamics, whereby the urbanization levels serve as significant thresholds, showcasing “diminishing marginal effects” in the digital economy’s influence on both population quantity and quality dividends; (4) digital economic development has a positive spillover effect on the demographic quantity dividend in adjacent areas. By clarifying these dynamics, the research results provide valuable insights into China’s sustainable use of the digital economy to create a demographic dividend.
Full article
Open AccessArticle
Habit Transformation in Times of Crisis: How Green Values Promote Sustainable Mobility
by
Thomas Freudenreich and Elfriede Penz
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,
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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.
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(This article belongs to the Special Issue The COVID-19 Effect on Sustainable Consumption)
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Sustainability in Public Relations Campaigns: Diagnosis of the Phenomenon Using the Example of PR Industry Research in Poland
by
Dariusz Tworzydło, Sławomir Gawroński, Agata Opolska-Bielańska and Przemysław Szuba
Sustainability 2024, 16(10), 4252; https://doi.org/10.3390/su16104252 (registering DOI) - 18 May 2024
Abstract
This article is based on a study of the public relations environment in Poland and contains many references to the problems that Polish PR professionals have to deal with while performing their daily professional duties. The purpose of the article is to identify
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This article is based on a study of the public relations environment in Poland and contains many references to the problems that Polish PR professionals have to deal with while performing their daily professional duties. The purpose of the article is to identify the factors that determine the frequency with which sustainable development elements are used in PR campaigns. The unit of analysis consists of the responses of 315 PR professionals who represent various organizations and provide services both to their clients and themselves, contributing to the PR structures of private and public companies. The main research technique was an online CAWI survey conducted in 2022. The main hypothesis of the article assumes that the professional experience of Polish PR professionals determines the frequency of using sustainable development elements in PR campaigns. In light of the above considerations, this article can make a valuable contribution to the discussion on the evolution of the PR specialist’s role in the context of sustainable development.
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(This article belongs to the Special Issue Sustainability and Innovation in Organizational Performance)
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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
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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.
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(This article belongs to the Special Issue Biomass Conversion and Green Technology)
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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
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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.
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(This article belongs to the Section Waste and Recycling)
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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
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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.
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