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
Assessing Green Practices on Eco-Friendly Hotel Customer Loyalty: A Partial Least Squares Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis Hybrid Approach
Sustainability 2024, 16(9), 3834; https://doi.org/10.3390/su16093834 (registering DOI) - 02 May 2024
Abstract
With a global focus on environmental sustainability, hotels worldwide are actively transitioning their services from conventional to eco-friendly practices. This study aims to comprehensively understand the factors that contribute to visitors’ satisfaction in eco-friendly hotels and how this satisfaction influences customers’ future reactions
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With a global focus on environmental sustainability, hotels worldwide are actively transitioning their services from conventional to eco-friendly practices. This study aims to comprehensively understand the factors that contribute to visitors’ satisfaction in eco-friendly hotels and how this satisfaction influences customers’ future reactions towards such environmentally conscious establishments. Employing the Stimulus-Organism-Response theory, this study collected data from 277 respondents using a robust quantitative research strategy. A combined approach of Partial Least Squares Structural Equation Modeling (PLS-SEM) and Fuzzy-Set Qualitative Comparative Analysis (fsQCA) was employed, to uncover deep insights into visitors’ satisfaction and their reactions towards eco-friendly hotels. The PLS-SEM results reveal significant associations between customers’ satisfaction towards eco-friendly hotel services and service quality, green practices, perceived value, and environmental sensitivity. Moreover, this study highlights a positive correlation between satisfaction and crucial outcomes like revisit intention (RVI), willingness to pay a premium (WTPP), and word-of-mouth intention (WOMI). Complementing these findings, the fsQCA analysis uncovers intricate causal relationships among antecedents that influence customer satisfaction in eco-friendly hotels. By offering critical marketing insights, this study provides guidance for hotels, the tourism industry, and policymakers on attracting customers to eco-friendly hotels, to meet the increasing demands for environmental sustainability.
Full article
(This article belongs to the Section Green Building)
Open AccessArticle
Indigenous or Exotic Crop Diversity? Which Crops Ensure Household Food Security: Facts from Tanzania Panel
by
Innocensia John
Sustainability 2024, 16(9), 3833; https://doi.org/10.3390/su16093833 (registering DOI) - 02 May 2024
Abstract
Farm crop diversity is often overlooked, predominantly indigenous crops’ role in this diversity. The main concentration has been on the contribution or role of exotic crops to household crop diversification. At the same time, the role played by both types of crops in
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Farm crop diversity is often overlooked, predominantly indigenous crops’ role in this diversity. The main concentration has been on the contribution or role of exotic crops to household crop diversification. At the same time, the role played by both types of crops in household food security has only been aggregated, failing to show how indigenous crops play a key role in household food security. This research paper uses Tanzanian Panel data from waves 4 and 5 to study the factors influencing indigenous and exotic crop diversification and the role of this diversity in household food security. Using a random effect model, the author found that various factors are crucial in determining household crop diversification. Gender, household size, marital status, and expected harvest quantity are among the key factors influencing indigenous crop diversification. On the other hand, age, education, access to markets, access to irrigation services, and soil quality are the primary factors that affect the diversification of exotic crops. Moreover, the findings show that indigenous and exotic crop diversity significantly influences household food consumption. Thus, policies to increase the production of indigenous crops in order to improve household food consumption should be considered.
Full article
Open AccessArticle
Let Them Shine: Associations of Schools’ Support for Strengths Use with Teachers’ Sense of Meaning, Engagement, and Satisfaction
by
Shiri Lavy, Marian Abu Ahmad and Eman Naama
Sustainability 2024, 16(9), 3832; https://doi.org/10.3390/su16093832 (registering DOI) - 02 May 2024
Abstract
The present research builds on the psychology of sustainability and sustainable development and on research demonstrating the contribution of perceived organizational support for strengths use (POSSU) to the quality of employees’ work life. Specifically, we focus on teachers, whose training and development in
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The present research builds on the psychology of sustainability and sustainable development and on research demonstrating the contribution of perceived organizational support for strengths use (POSSU) to the quality of employees’ work life. Specifically, we focus on teachers, whose training and development in schools often aim to narrow competence gaps and correct deficits. We propose that focusing on the development of their strengths may more positively impact their engagement, satisfaction, and sense of meaning at work. A total of 47 school principals (30 women; Mage = 48.37, SD = 7.31) and 235 of their teachers (197 women; Mage = 40.73, SD = 7.78) reported perceptions of their schools’ organizational support for strengths use (POSSU), and of their school support for deficit correction (POSDC). In addition, teachers completed measures of their strengths use, sense of meaning at work, work engagement, and job satisfaction. Teachers’ POSSU was associated (more strongly than POSDC) with teachers’ strength use and positive work-related well-being. Teachers’ strengths use mediated the associations of POSSU with the other variables. Principals’ POSSU was not associated with teachers’ POSSU or with teachers’ strengths use, but was associated with teachers’ sense of meaning and satisfaction at work. The findings highlight the potential benefits of a strengths-supporting school culture to teachers’ work-life quality.
Full article
(This article belongs to the Section Psychology of Sustainability and Sustainable Development)
Open AccessArticle
SMEs Awareness and Preparation for Digital Transformation: Exploring Business Opportunities for Entrepreneurs in Saudi Arabia’s Ha’il Region
by
Abhishek Tripathi and Ajay Singh
Sustainability 2024, 16(9), 3831; https://doi.org/10.3390/su16093831 (registering DOI) - 02 May 2024
Abstract
This study investigates how Saudi SMEs’ awareness and preparation for digital transformation impact their business performance (BP). First and foremost, in this study, we examine the impact of awareness and preparation on business performance using the intention to use (ITU) as an initial
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This study investigates how Saudi SMEs’ awareness and preparation for digital transformation impact their business performance (BP). First and foremost, in this study, we examine the impact of awareness and preparation on business performance using the intention to use (ITU) as an initial mediator. In addition, the researchers also examined the impact of awareness and preparation on business performance through intention to use and Government Support (GS), and later, intention to use and skills as serial mediators. Using a structured questionnaire based on a seven-point Likert scale, data were collected from 68 SMEs in the Ha’il region of Saudi Arabia, one of the Kingdom’s leading economic provinces. The data were analyzed through simple and serial mediation techniques through AMOS-24. The study found that SMEs’ awareness and preparation for digital transformation significantly and positively influenced their intentions to use the technology. The researchers found that intention to use, skills, and government support are significant variables that improve business performance. The research also revealed full-serial mediation between awareness and business performance and preparation and business performance, showing that intention to use and skills and intention to use and government support significantly mediate improving SMEs’ business performance. The study implications provide for SMEs’ successful digital transformation, considering the role of skills and government support, which will help SMEs improve their performance and embrace sustainability in human and economic development in Saudi Arabia. Together with policymakers, SMEs, and researchers, it will also look at the entrepreneurial potential for Saudi nationals in the run-up to Vision 2030.
Full article
(This article belongs to the Special Issue Entrepreneurship, Open Innovation and Digital Transformation for Sustainability)
Open AccessArticle
Evaluating Ghana’s Youth-Centered Food-Security Policies: A Collaborative Governance Approach
by
Evans Sakyi Boadu
Sustainability 2024, 16(9), 3830; https://doi.org/10.3390/su16093830 (registering DOI) - 02 May 2024
Abstract
Food-security issues remain essential for decision-makers at all levels in sub-Saharan Africa (SSA), and youth-oriented food-security policies in Ghana are no exception. While there are no “one-size-fits-all” policy pathways to eradicate poverty and hunger, various governments, civil society, youth groups, and citizens can
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Food-security issues remain essential for decision-makers at all levels in sub-Saharan Africa (SSA), and youth-oriented food-security policies in Ghana are no exception. While there are no “one-size-fits-all” policy pathways to eradicate poverty and hunger, various governments, civil society, youth groups, and citizens can afford to ignore the present food policies’ status quo. This paper examines the perspective of sustainability when collaborative and open governance approaches are adopted by central governments and their sub-national departments, institutions, and agencies in youth-oriented food-security policymaking, implementation, and evaluation. The extent to which active stakeholder participation and collaboration, or the lack thereof, has either negatively or positively impacted food-security policies is another tangent this paper explores, including the sustainability of the youth-centered food-security policies in Ghana. Using qualitative documentary analysis technique through collaborative and open governance frameworks and drawing on the literature on multisectoral governance and youth-focused food-security policies, this paper identifies several disjointed youth-focused food-security intervention policies in Ghana with hazy institutional arrangements that have failed to ensure adequate implementation and assessment to promote cooperation, accountability, and transparency. The paper suggests the need for collaborative governance, effective policy monitoring, and evaluation strategies that involve government institutions, departments, agencies, civic societies, youth organizations, and citizens’ commitments to food security. This research finds that collaborative strategies and active youth participation in all food-security-related policies are essential for Ghana to achieve Sustainable Development Goals (SDGs) 1 and 2.
Full article
Open AccessArticle
Ukrainian Women’s Entrepreneurship and Business Ecosystem during the War: New Challenges for Development
by
Tetiana Stroiko, Patricia P. Iglesias-Sanchez, Carmen Jambrino-Maldonado, Elena Fernández-Díaz and Carlos de las Heras-Pedrosa
Sustainability 2024, 16(9), 3829; https://doi.org/10.3390/su16093829 (registering DOI) - 02 May 2024
Abstract
This research focuses on the key aspects of the basis of women’s entrepreneurship in the particular case of the Ukrainian ecosystem of entrepreneurship. Even in wartime, entrepreneurship is a chance to overcome circumstances, and it should be developed for women and men. A
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This research focuses on the key aspects of the basis of women’s entrepreneurship in the particular case of the Ukrainian ecosystem of entrepreneurship. Even in wartime, entrepreneurship is a chance to overcome circumstances, and it should be developed for women and men. A correlation regression analysis and simulation modeling were carried out in order to rank the priorities for the development of types of economic activity of small business entities managed by women, making it possible to substantiate the forecast of the development of women’s entrepreneurship in Ukraine for 2024–2026. The findings show the positive impact of the entrepreneurial ecosystem and the need to continue to strengthen policies that encourage and facilitate female entrepreneurship. This analysis provides three types of development scenarios for women’s entrepreneurship in Ukraine.
Full article
(This article belongs to the Special Issue Entrepreneurship and Innovation Management under Sustainable Development)
Open AccessArticle
Enhancing Seismic Landslide Susceptibility Analysis for Sustainable Disaster Risk Management through Machine Learning
by
Hailang He, Weiwei Wang, Zhengxing Wang, Shu Li and Jianguo Chen
Sustainability 2024, 16(9), 3828; https://doi.org/10.3390/su16093828 (registering DOI) - 02 May 2024
Abstract
The accuracy of Seismic Landslide Susceptibility Maps (SLSMs) is imperative for the prevention of seismic landslide disasters. This study enhances the precision of SLSMs by integrating nine distinct machine learning methodologies with the GeoDetector version 0.0.4 tool to filter both numerical and physical
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The accuracy of Seismic Landslide Susceptibility Maps (SLSMs) is imperative for the prevention of seismic landslide disasters. This study enhances the precision of SLSMs by integrating nine distinct machine learning methodologies with the GeoDetector version 0.0.4 tool to filter both numerical and physical factors contributing to landslide susceptibility. The dataset comprises 2317 landslide instances triggered by the 2013 Minxian Ms = 6.6 earthquake, from which redundant factors were pruned using the Recursive Feature Elimination technique. Subsequent evaluations of the optimized factors, both individually and in combination, were conducted through Frequency Ratio analysis and Factor Interaction assessment. The study juxtaposes the Area Under the Receiver Operating Characteristic Curve (AUC) and the accuracy of nine machine learning models before and after factor optimization. The findings indicate an increase in AUC from a maximum of 0.989 to 0.992 in the Random Forest model, and an 8.37% increase in AUC for the SVM model, signifying a notable enhancement in the stability across all models. The establishment of the SLSM notably elevated the frequency ratio in high-risk zones from 50.40 to 85.14, underscoring the efficacy of combining machine learning and detector optimization techniques in sustainable practices. This research proposes a universal framework aimed at eliminating redundancy and noise in SLSMs and hazard risk assessments, thereby facilitating sustainable geological disaster risk management.
Full article
(This article belongs to the Special Issue Sustainable Urban Planning: Complex Risk and Urban Security Resilience)
Open AccessArticle
Recycling Reinforced: The Synergistic Dynamics of Sustainable Behavior
by
Ebru Enginkaya and Munise Hayrun Sağlam
Sustainability 2024, 16(9), 3827; https://doi.org/10.3390/su16093827 (registering DOI) - 02 May 2024
Abstract
Recent research has specifically targeted the decision-making process of eco-friendly individuals, emphasizing the significance of recycling and its impact on sustainability. Our study extends this inquiry by examining the correlation between recycling participation and pro-environmental behavior among consumers, integrating the concepts of self-efficacy,
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Recent research has specifically targeted the decision-making process of eco-friendly individuals, emphasizing the significance of recycling and its impact on sustainability. Our study extends this inquiry by examining the correlation between recycling participation and pro-environmental behavior among consumers, integrating the concepts of self-efficacy, feelings of pride, and social pressure into our analysis. We utilized targeted sampling to collect data from a diverse sample of 378 participants, ensuring representation across key demographic groups. By employing Partial Least Squares–Structural Equation Modeling (PLS-SEM), we aimed to explore the intricate relationships underpinning recycling behaviors and pro-environmental actions. The results suggest that self-efficacy and feelings of pride significantly influence individuals’ recycling behaviors, highlighting the role of psychological and social factors in promoting environmental sustainability. It was concluded that social pressure did not have the expected moderating effect on increasing consumers’ feelings of pride and self-efficacy toward recycling activities. This study sheds light on the underlying mechanisms that drive pro-environmental actions, contributes to understanding sustainability promotion through recycling, and offers insights for policymakers and environmental advocates to help foster environmental responsibility and behavior change. The findings emphasize that individuals often value personal achievement and development more when addressing environmental responsibilities and that social pressure does not achieve its expected effects.
Full article
(This article belongs to the Special Issue Sustainable Development: Consumer Behavior and Circular Economy)
Open AccessArticle
Research on the Impact of Enterprise ESG Ratings on Carbon Emissions from a Spatial Perspective
by
Weiwei Yang and Yingying Hei
Sustainability 2024, 16(9), 3826; https://doi.org/10.3390/su16093826 (registering DOI) - 02 May 2024
Abstract
Based on 208 city-level data in China, this paper empirically analyzes the impact of ESG rating on carbon emissions through the SDM spatial metrology model, identifies the direct and indirect consequences and spatial spillover effects of ESG rating on carbon emissions, and compares
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Based on 208 city-level data in China, this paper empirically analyzes the impact of ESG rating on carbon emissions through the SDM spatial metrology model, identifies the direct and indirect consequences and spatial spillover effects of ESG rating on carbon emissions, and compares the regional heterogeneity and city-size heterogeneity of such impacts. This paper draws three conclusions: (1) Empirical evidence shows that the ESG rating performance of enterprises has a significant inhibition effect on carbon dioxide emissions. Specifically, when the ESG rating performance increases by 1%, carbon emissions will decrease by 0.076; among other control variables, the effect of FDI on carbon emission reduction is that when ESG score performance increases by 1%, carbon emission decreases by 0.022. (2) In the decomposition of the total effects, indirect effects and direct effects have the same impact on carbon emissions, and the total effect is −0.393. (3) The inhibition effect is more significant in the Eastern Region and in megacities, where the effect of −0.096 in the Eastern Region is more obvious than that of −0.078 at the national level, and the effect of carbon reduction in megacities is significantly greater than 0.013 in big cities. This suggests regional heterogeneity in regards to the role of ESG ratings in reducing CO2 emissions. This paper reveals the specific effects and internal logic of the impact of ESG performance on CO2 emissions, which has certain implications for various regions to further promote the construction of an ESG system, according to local conditions, and to encourage enterprises to focus on emission reduction and high-quality development.
Full article
Open AccessArticle
Socio-Cultural Factors and Components of the Digital Economy in Ethnic Minority Regions
by
Maksim Vlasov, Sergey N. Polbitsyn, Michael Olumekor, Hossam Haddad and Nidal M. Al-Ramahi
Sustainability 2024, 16(9), 3825; https://doi.org/10.3390/su16093825 (registering DOI) - 02 May 2024
Abstract
We define the digital economy as all economic activities conducted through the use of information technologies, including activities to create new markets, expand old ones, and produce digital goods and services. The digital economy has become a major driver of sustainable development and
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We define the digital economy as all economic activities conducted through the use of information technologies, including activities to create new markets, expand old ones, and produce digital goods and services. The digital economy has become a major driver of sustainable development and the transition towards a greener economy. However, studies show an unequal level of progress among cities, regions, and countries. Consequently, this paper explores the associations between socio-cultural factors (such as attitudes towards marriage/raising a family) and components of the digital economy (such as expenses/investment in ICT and the proportion of personal computers and the Internet in households). This study specifically examines twenty-two ethnic minority regions in Russia with data covering a five-year period. Using the Pearson correlation coefficient, the results show that socio-cultural factors including a large urban population and high divorce rates were positively associated with the digital economy, whereas a large rural population, higher birth rates, and higher natural population growth were negatively correlated with the digital economy.
Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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Open AccessReview
Structural Equation Modeling in Technology Adoption and Use in the Construction Industry: A Scientometric Analysis and Qualitative Review
by
Chuyou Fu, Jun Wang, Ziyi Qu, Martin Skitmore, Jiaxin Yi, Zhengjie Sun and Jianli Chen
Sustainability 2024, 16(9), 3824; https://doi.org/10.3390/su16093824 (registering DOI) - 02 May 2024
Abstract
Considering the emergence and adoption of various innovative technologies, the construction industry has undergone transformation into a more secure, highly efficient, and ecologically sustainable landscape. An increasing number of studies uses the structural equation modeling (SEM) method to explore the dynamics of technology
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Considering the emergence and adoption of various innovative technologies, the construction industry has undergone transformation into a more secure, highly efficient, and ecologically sustainable landscape. An increasing number of studies uses the structural equation modeling (SEM) method to explore the dynamics of technology adoption and use within the construction sector. Previous studies have mainly focused on qualitative analysis using the SEM method to analyze technology adoption and usage in the construction industry. This study, however, distinguishes itself from previous research by focusing on the SEM method itself and conducting a systematic analysis using scientometric methods. Based on a total of 140 relevant journal articles, this study adopts a scientometric analysis approach to conduct a holistic review encompassing sources, researchers, keywords, and highly cited documents. The research findings are as follows: (1) the primary focus of the current research topics is on BIM technology; (2) most studies employ cross-sectional SEM instead of longitudinal SEM; (3) there is a deficiency in the theoretical foundation for designing SEM in current research; and (4) the selection of either reflective or formative measures lacks sufficient rigor. Qualitative analysis is used to examine prevailing issues in research design and address the intricate technicalities and potential challenges inherent in the SEM method. Three research gaps and future directions are presented: diversifying regions of study and research topics, incorporating theoretical support for research design, and carefully choosing reflective or formative measures. The findings provide a comprehensive roadmap and valuable reference for future research in this field.
Full article
(This article belongs to the Special Issue Sustainable Construction Engineering Processes)
Open AccessArticle
Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System
by
Fanbao Xie, Xin Guan, Xiaoyan Peng, Yanzhao Zeng, Zeyu Wang and Tianqiao Qin
Sustainability 2024, 16(9), 3823; https://doi.org/10.3390/su16093823 (registering DOI) - 02 May 2024
Abstract
Sustainable energy systems (SESs) occupy a prominent position in the modern global energy landscape. The purpose of this study is to explore the application of fuzzy control and neural network control in photovoltaic systems to improve the power generation efficiency and stability of
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Sustainable energy systems (SESs) occupy a prominent position in the modern global energy landscape. The purpose of this study is to explore the application of fuzzy control and neural network control in photovoltaic systems to improve the power generation efficiency and stability of the system. By establishing the mathematical model of a photovoltaic system, the nonlinear and uncertain characteristics of photovoltaic system are considered. Fuzzy control and neural network control are used to control the system, and their performance is verified by experiments. The experimental results show that under the conditions of low light and moderate temperature, the fuzzy neural network control achieves a 3.33% improvement in power generation efficiency compared with the single control strategy. Meanwhile, the system can still maintain relatively stable operation under different environmental conditions under this comprehensive control. This shows that fuzzy neural network control has significant advantages in improving power generation efficiency and provides beneficial technical support and guidance for the commercial development of SESs.
Full article
(This article belongs to the Special Issue Green Business Transformation: ESG, Sustainable and Impact Investments and New Sustainable Business Models)
Open AccessArticle
Impact of Climate Policy Uncertainty, Clean Energy Index, and Carbon Emission Allowance Prices on Bitcoin Returns
by
Samet Gürsoy, Bartosz Jóźwik, Mesut Dogan, Feyyaz Zeren and Nazligul Gulcan
Sustainability 2024, 16(9), 3822; https://doi.org/10.3390/su16093822 - 01 May 2024
Abstract
This research aimed to investigate the relationship between climate policy uncertainty (CPU), clean energy (ENERGY), carbon emission allowance prices (CARBON), and Bitcoin returns (BTC) for the period from August 2012 to August 2022. The empirical analysis strategies utilized in this study included the
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This research aimed to investigate the relationship between climate policy uncertainty (CPU), clean energy (ENERGY), carbon emission allowance prices (CARBON), and Bitcoin returns (BTC) for the period from August 2012 to August 2022. The empirical analysis strategies utilized in this study included the Fourier Bootstrap ARDL long-term coefficient estimator, the Fourier Granger Causality, and the Fourier Toda–Yamamoto Causality methods. Following the confirmation of cointegration among the variables, we observed a positive relationship between BTC and CARBON, a positive relationship between BTC and CPU, and a negative relationship between BTC and ENERGY. In terms of causal associations, we identified one-way causality running from CARBON to BTC, BTC to CPU, and BTC to the ENERGY variable. The study underscores the potential benefits and revenue opportunities for investors seeking diversified investment strategies in light of climate change concerns. Furthermore, it suggests actionable strategies for policymakers, such as implementing carbon taxes and educational campaigns, to foster a transition towards clean energy sources within the cryptocurrency mining sector and thereby mitigate environmental impacts.
Full article
Open AccessArticle
A Two-Stage Sustainable Supplier Selection Model Considering Disruption Risk
by
Jie Lu, Feng Li and Desheng Wu
Sustainability 2024, 16(9), 3821; https://doi.org/10.3390/su16093821 - 01 May 2024
Abstract
The global spread of the pandemic has changed many aspects of life and placed the supply chain at risk of disruption. To solve the problem of supplier selection under the risk of supply chain disruption, in this paper, we propose a two-stage evaluation
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The global spread of the pandemic has changed many aspects of life and placed the supply chain at risk of disruption. To solve the problem of supplier selection under the risk of supply chain disruption, in this paper, we propose a two-stage evaluation model to address the issue of supplier selection in the context where a pandemic requires a lockdown. First, we incorporate the lead time into the epidemic model that predicts the evolution of the pandemic to identify suppliers that have a high risk of disruption caused by the pandemic’s evolution. Second, we propose a best–worst method combined with regret theory to rank candidate suppliers. Our model provides a dynamic link between the pandemic’s evolution and supplier selection, and it allows selecting suppliers according to various criteria while avoiding supply chain disruptions due to inappropriate supplier selection. We validate the proposed model on a real case study with epidemic data from China. This paper is the first to consider the impact of lockdowns during the pandemic on supplier selection. We develop a novel MCDM model BWM-RT for supplier selection; our model can be an effective decision support approach to help decision makers better cope with the risk of supply chain disruptions.
Full article
(This article belongs to the Special Issue Multiple Criteria Decision-Making Techniques in Sustainable Supply Chains and Logistics Management)
Open AccessArticle
Standing Watch: Baselining Predictable Events That Influence Maritime Operations in the Context of the UN’s Sustainable Development Goals
by
Bruce Lambert and James Merten
Sustainability 2024, 16(9), 3820; https://doi.org/10.3390/su16093820 - 01 May 2024
Abstract
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The authors present a practical framework for assessing seasonal events that may influence maritime operations, seeking to tie in discussions about climate change adoption to maritime operational assessments. Most maritime-related research tends to focus on a single event, such as a storm, but
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The authors present a practical framework for assessing seasonal events that may influence maritime operations, seeking to tie in discussions about climate change adoption to maritime operational assessments. Most maritime-related research tends to focus on a single event, such as a storm, but maritime systems operate within complex systems that have some predictable patterns. These predictable patterns due to natural events, such as weather and water levels, can influence operations. By contrast, other factors, such as cargo peaks or cultural activities, could also shape maritime systems. The growing focus on adopting human activities to the United Nations’ Sustainability Development Goals means that system operations should consider their relationship to these broader goals. By integrating data from emergency management databases and weather information sources with other inputs, the authors, in collaboration with various stakeholder groups, created a matrix of regionally specific predictable events that may occur within a region by time of year that can be linked to the Sustainability Development Goals. The matrix was vetted to verify the information, ensuring that all perspectives were considered. The main findings were that a seasonal event matrix was not just a theoretical tool but a practical reference for examining operational patterns in a river for various uses, such as training, operational planning, and emergency response coordination.
Full article
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Open AccessArticle
Synthesis of Wrinkled MoS2 Thin Films Using a Two-Step Method Consisting of Magnetron Sputtering and Sulfurization in a Confined Space
by
Claudia Mihai, Iosif-Daniel Simandan, Florinel Sava, Angel-Theodor Buruiana, Amelia Elena Bocirnea, Teddy Tite, Mohamed Yassine Zaki and Alin Velea
Sustainability 2024, 16(9), 3819; https://doi.org/10.3390/su16093819 - 01 May 2024
Abstract
Considering the increasing need for sustainable and economical energy storage solutions, the integration of layered materials such as MoS2 into these systems represents an important step toward enhancing energy sustainability and efficiency. Exploring environmentally responsible fabrication techniques, this study assesses wrinkled MoS
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Considering the increasing need for sustainable and economical energy storage solutions, the integration of layered materials such as MoS2 into these systems represents an important step toward enhancing energy sustainability and efficiency. Exploring environmentally responsible fabrication techniques, this study assesses wrinkled MoS2 thin films synthesized from distinct Mo and MoS2 targets, followed by sulfurization conducted in a graphite box. We utilized magnetron sputtering to deposit precursor Mo and MoS2 films on Si substrates, achieving thicknesses below 20 nm. This novel approach decreases sulfur by up to tenfold during sulfurization due to the confined space technique, contributing also to avoiding the formation of toxic gases such as SO2 or the necessity of using H2S, aligning with sustainable materials development. Thinner MoS2 layers were obtained post-sulfurization from the MoS2 precursors, as shown by X-ray reflectometry. Raman spectroscopy and grazing X-ray diffraction analyses confirmed the amorphous nature of the as-deposited films. Post-sulfurization, both types of films exhibited crystalline hexagonal MoS2 phases, with the sulfurized Mo showing a polycrystalline nature with a (100) orientation and sulfurized MoS2 displaying a (00L) preferred orientation. The X-ray photoelectron spectroscopy results supported a Mo:S ratio of 1:2 on the surface of the films obtained using the MoS2 precursor films, confirming the stoichiometry obtained by means of energy dispersive X-ray spectroscopy. Scanning electron microscopy and atomic force microscopy images revealed micrometer-sized clusters potentially formed during rapid cooling post-sulfurization, with an increased average roughness. These results open the way for the further exploration of wrinkled MoS2 thin films in advanced energy storage technologies.
Full article
(This article belongs to the Section Sustainable Materials)
Open AccessArticle
An Efficiency and Coupling Analysis of Chinese Regional Economic and Environmental Sustainability Based on a Super-SBM Model and Coupling Coordination Model
by
Nannan Liang and Linlin Zhao
Sustainability 2024, 16(9), 3818; https://doi.org/10.3390/su16093818 - 01 May 2024
Abstract
This study presents a two-stage framework for analyzing the coupling mechanism between regional sustainable economic development and environmental protection subsystems. We propose a modified super-slack-based measure (SBM) model to evaluate efficiency and apply a coupled coordination model to measure the coordinated development levels
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This study presents a two-stage framework for analyzing the coupling mechanism between regional sustainable economic development and environmental protection subsystems. We propose a modified super-slack-based measure (SBM) model to evaluate efficiency and apply a coupled coordination model to measure the coordinated development levels of regional economies and environments. Subsequently, we assess the economic and environmental efficiency and coordination levels of 30 Chinese regions from 2011 to 2019. The findings indicate a strong synchronization between regional economic development and environmental protection, whereby regions with better economic development exhibit superior environmental protection measures. Regional technical inefficiency is primarily attributed to scale inefficiency, although the overall developmental trend is predominantly determined by pure technical advancement. While the synchronization between the economy and environment remains highly robust, over time, the coordination level gradually diminishes, transitioning from a state of well-coordinated and orderly development to dysfunctional and disorderly recession. Noticeable regional disparities in efficiency and coordination levels are apparent among the eastern, western, and central regions, with the central region demonstrating exemplary performance across all aspects. To promote sustainable high-quality coordinated development, regions with limited capacity should prioritize economic construction. Conversely, in other regions, the simultaneous promotion of economic development and environmental protection would be more appropriate to achieve a higher level of coordinated regional development.
Full article
(This article belongs to the Section Environmental Sustainability and Applications)
Open AccessReview
Identifying and Dealing with Interdependencies and Conflicts between Goals in Manufacturing Companies’ Sustainability Measures
by
David Koch and Alexander Sauer
Sustainability 2024, 16(9), 3817; https://doi.org/10.3390/su16093817 - 01 May 2024
Abstract
Companies are increasingly focusing on sustainable business practices. Internal and external stakeholders’ expectations manifest in legal requirements, national and international standards, and market and customer expectations, among other things, must be considered. In addition to profit maximization, which is the usual target for
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Companies are increasingly focusing on sustainable business practices. Internal and external stakeholders’ expectations manifest in legal requirements, national and international standards, and market and customer expectations, among other things, must be considered. In addition to profit maximization, which is the usual target for corporate management, management must consider environmental sustainability aspects such as resource efficiency, greenhouse gas intensity, and a company’s emissions behavior. In addition, social aspects related to the company’s employees, the immediate urban environment, the situation in the supply chain, and effects on the market environment must increasingly be considered. Specifically, companies are faced with the challenge of dealing with conflicting objectives regarding the various aspects of sustainability and, if necessary, weighing them up against each other. These trade-offs must be made against the company’s socio-economic and ecological environment, corporate strategy, and sustainability goals. This paper provides an overview of current approaches and research gaps on this topic through a literature review. It highlights the lack of methods and frameworks to specifically deal with trade-offs and conflicts between goals.
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Open AccessArticle
Black Crust from Historic Buildings as a Natural Indicator of Air Pollution: A Case Study of the Lipowiec Castle, Babice, Southern Poland
by
Mariola Marszałek, Krzysztof Dudek and Adam Gaweł
Sustainability 2024, 16(9), 3816; https://doi.org/10.3390/su16093816 - 01 May 2024
Abstract
The study is focused on the analysis of black crust and soiling on the building materials of the medieval Lipowiec Castle in southern Poland. The castle was constructed using local, partly dolomitic limestones and dolomites, supplemented with other limestones and bricks, during 20th-century
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The study is focused on the analysis of black crust and soiling on the building materials of the medieval Lipowiec Castle in southern Poland. The castle was constructed using local, partly dolomitic limestones and dolomites, supplemented with other limestones and bricks, during 20th-century renovations of the castle ruins. The crust and soiling components, secondary mineral phases, and particulate matter of anthropogenic origin were analysed using Raman micro-spectroscopy (RS) and scanning electron microscopy coupled with energy-dispersive spectrometry (SEM-EDS). The crust, mostly composed of gypsum and other sulphate phases, was found to contain carbonaceous matter, spherical Si-Al glass particles, and iron oxides, with admixtures of other elements, including heavy metals, as well as irregularly shaped particles containing various metals. These components reflect the air pollution in the region, related to the combustion of solid fuels in both industrial power plants and local domestic furnaces, Zn-Pb ore mining (operational until 2021), and smelting in the neighbouring industrial centre. Despite its location in a rural area, the castle has been exposed to pollution for an extended period due to its proximity to large industrial centres. Therefore, the crust analysed may serve as an environmental indicator of the nature of the air pollution in the region.
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(This article belongs to the Special Issue Striving towards Sustainable Development in Central and Eastern Europe: From the Environmental, Ecological and Technological Perspectives)
Open AccessArticle
The Impact of Urban–Rural Integration on Food Security: Evidence from Provincial Panel Data in China
by
Xiaofu Chen and Guoxin Yu
Sustainability 2024, 16(9), 3815; https://doi.org/10.3390/su16093815 - 01 May 2024
Abstract
Food security is pivotal for national sustainable development. This study utilizes panel data from 31 Chinese provinces spanning from 1990 to 2021 to construct distinct indicator systems for urban–rural integration and food security. The entropy method is employed to assess levels of urban–rural
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Food security is pivotal for national sustainable development. This study utilizes panel data from 31 Chinese provinces spanning from 1990 to 2021 to construct distinct indicator systems for urban–rural integration and food security. The entropy method is employed to assess levels of urban–rural integration and food security, with their inter-relationship examined through a fixed-effects model. Additionally, this study conducts rigorous robustness and endogeneity tests, alongside comprehensive heterogeneity analyses across various dimensions and regions. The findings underscore the significant role of urban–rural integration in enhancing food security, particularly within spatial, social, and economic dimensions, albeit encountering challenges in ecological integration. Moreover, the impact of urban–rural integration on food security manifests differently across diverse food-producing regions, exhibiting notable advantages in primary production and distribution hubs while being negligible in balanced regions. These results accentuate the critical necessity for refining urban–rural integration strategies to bolster food security. Consequently, in formulating agricultural regional policies, careful consideration of resource allocation and the developmental stages of each region is imperative to ensure food security and promote sustainable agricultural practices.
Full article
(This article belongs to the Section Sustainable Agriculture)
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