bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainable Development of the Cultural and Creative Industries in the Post-Pandemic Era: A Case Study of the Animation Industry in China
Authors: Feng Ting-Ting , Yang Li-Fan
Published: November 2024

As a novel development concept and model, the cultural and creative industries have become an important sector of the global economy owing to their diverse development pathways. In particular, the animation industry surpasses traditional sectors in scale. This industry demonstrated unprecedented resilience during the COVID-19 pandemic, highlighting its critical significance in the global economy. In this study, the SWOT (strength, weakness, opportunity, and threat)-PEST (political, economic, social, and technological factor) analytical model was employed to systematically assess various properties of the animation industry in China. Through an in-depth analysis of both internal and external factors affecting the industry and in consideration of conditions in the post-pandemic era, industrial development strategies across macro, meso, and micro levels were proposed to improve the existing development system. It was found that policy guidance at the macro level, improving the industry chain, integrating technologies at the meso level, and expanding target markets and financial channels at the micro level are key strategies for the continued development of the industry. This study offers new insights and directions for the sustainable development of the animation industry in China.
Sustainable Strategies and Value Creation in the Food and Beverage Sector: The Case of Large Listed European Companies
Authors: Gazzola Patrizia , Pavione Enrica , Amelio Stefano , Mauri Martina
Published: November 2024

Food and beverage in Europe represents a central sector in terms of contribution to GDP, employment, and the trade balance. At the same time, it has significant environmental, economic, and social implications, making the adoption of sustainable strategies of vital importance for companies in the sector. This study explores how sustainable business practices can create long-term strategic value, with a particular focus on the food and beverage sector. The research analyzes the relationship between sustainability and business strategy, focusing on how companies can thrive in the context of environmental uncertainties, social fluctuations, and economic interconnectedness. Specifically, the study aims to identify the key sustainability practices and strategies adopted by leading food and beverage companies and determine how these practices affect their ESG performance (environmental, social, and governance) results. The study uses a reasoned selection of case studies from one of the primary CSR regulatory categories—listed companies with considerable size (excluding tobacco companies and those with a capitalization of less than EUR 10 billion)—comparing companies’ sustainability reports and the latest 2023 integrated annual report to assess every aspect of each company, from market position to sustainability policies and sustainable reporting.
Towards Sustainable Products and Services: The Influences of Traditional Costumes in Promoting Sustainable Fashion
Authors: Le Thi-Ha , Dang Phuong , Bui Trinh
Published: November 2024

Recent research in Sustainability has gained increasing attention within the past years, particularly regarding methods and approaches for designing sustainable products and services to address environmental and societal challenges. However, there has been limited exploration of incorporating cultural materials into the design process, which could enhance the cultural sustainability of products and services. This article aims to investigate the potential of integrating traditional royal costumes into fashion design to foster sustainability values and behaviours in contemporary society. A descriptive study focused on the Nhat Binh robe; a formal dress worn by noblewomen of the Nguyen Dynasty (1802–1945). The findings reveal that this traditional costume is rich in visual elements, offering a wealth of inspiration for fashion designers. However, existing products and services have yet to fully leverage the emotional and visual aspects of this unique cultural material. To creatively and sustainably preserve and promote traditional cultural values, this study proposes a model for incorporating traditional cultural materials into fashion design through co-design activities. This model emphasizes close collaboration between designers, artisans, and fashion consumers, with the goal of safeguarding traditional cultural values while advancing sustainable fashion. By fostering collaboration among them, the model has the potential to encourage a sense of ownership and emotional connection to the products, enriching consumer experiences. It not only addresses existing gaps in the use of cultural elements in fashion design but also positions designers to play a pivotal role in the future of sustainable fashion.
Human-Centered Systems Thinking in Technology-Enhanced Sustainable and Inclusive Architectural Design
Authors: Avsec Stanislav , Jagiełło-Kowalczyk Magdalena , Żabicka Agnieszka , Gil-Mastalerczyk Joanna , Gawlak Agata
Published: November 2024

Human-centered systems thinking (HCST) can be seen as a promising enabler of effective Industry 5.0. This study primarily examined whether architecture students consider themselves systems thinkers and how this affects their design thinking, digital competency, and engagement in sustainable and inclusive design practices. Next, this study also examined the students’ HCST profiles, their stability, and the roles of digital competency, design thinking, motivation, and risk propensity in human-centered design. Using a person-oriented approach and cluster analysis, a sample of Polish architecture students from three universities (n = 208) was classified based on their self-perceived HCST ability. Three profiles were identified, namely high, average, and low HCST. A multivariate analysis of variance (MANOVA) revealed that the HCST profiles differed significantly in terms of design thinking and digital competencies, while multinomial logistic regression (MLR) analysis revealed that perceived intrinsic motivation predicted that students would be more likely to have a high HCST profile. MLR also revealed an undefined role of risk propensity in the context of HCST in inclusive and sustainable architecture design education. The findings indicate that it is essential to recognize and support students with low HCST throughout their education. It is also suggested to change the focus of architecture study programs to promote students’ systems thinking, and to encourage course designers to create novel and tailored technology-enhanced integrated human-centered design and systems thinking.
Comparative Analysis of Deep Neural Networks and Graph Convolutional Networks for Road Surface Condition Prediction
Authors: Boonsiripant Saroch , Athan Chuthathip , Jedwanna Krit , Lertworawanich Ponlathep , Sawangsuriya Auckpath
Published: November 2024

Road maintenance is essential for supporting road safety and user comfort. Developing predictive models for road surface conditions enables highway agencies to optimize maintenance planning and strategies. The international roughness index (IRI) is widely used as a standard for evaluating road surface quality. This study compares the performance of deep neural networks (DNNs) and graph convolutional networks (GCNs) in predicting IRI values. A unique aspect of this research is the inclusion of additional predictor features, such as the type and timing of recent roadwork, hypothesized to affect IRI values. Findings indicate that, overall, the DNN model performs similarly to the GCN model across the entire highway network. Given the predominantly linear structure of national highways and their limited connectivity, the dataset exhibits a low beta index, ranging from 0.5 to 0.75. Additionally, gaps in IRI data collection and discontinuities in certain highway segments present challenges for modeling spatial dependencies. The performance of DNN and GCN models was assessed across the network, with results indicating that DNN outperforms GCN when highway networks are sparsely connected. This research underscores the suitability of DNN for low-connectivity networks like highways, while also highlighting the potential of GCNs in more densely connected settings.
Fostering Inclusive Green Growth in Chinese Cities: Investigating the Role of Artificial Intelligence
Authors: Fu Hongbo , Rasiah Rajah
Published: November 2024

In the new round of global technological revolution and industrial transformation, artificial intelligence (AI) provides an opportunity to foster urban inclusive green growth (IGG). On the basis of scientifically measuring the IGG level and AI development level of Chinese cities from 2010 to 2022, this paper systematically explores the impact and internal mechanism of AI on IGG. This study finds that AI development significantly promotes urban IGG, and this conclusion still holds after a series of robustness and endogeneity tests. The effect of AI on IGG will exhibit heterogeneity because of differences in urban characteristics such as government financial support, information infrastructure development, and innovation and entrepreneurship vitality. Mechanism test reveals that AI development fosters urban IGG through digital technology innovation and industrial structure optimization. Furthermore, AI development has a positive spatial spillover effect on IGG in neighboring cities. This study provides valuable theoretical insights and policy ideas for planning in emerging economies to promote high-quality economic development and ecological civilization through the application of AI technology.
Do ESG Practices Promote Financial Performance? Comparison of English, Chinese, and Korean Papers Through Bibliometric and Meta-Analysis
Authors: Bai Haoyue , Kim Junghee
Published: November 2024

Companies engaged in ESG practices to enhance financial performance and demonstrate a commitment to sustainable development. However, the relationship between ESG and financial performance remained unclear, as prior studies were replete with contradictory paradoxes. This study aimed to comprehensively analyze the evolution of ESG practices and their impact on financial performance by comparing English, Chinese, and Korean papers. This study employed a mixed-methods approach and conducted a bibliometric analysis on 2659 ESG-related papers to unveil temporal trends and conduct a meta-analysis. Stratifying by language, linguistic and cultural nuances influencing the relationship were identified. The bibliometric analysis revealed a significant turning point in ESG research around 2019, marked by a surge in publications across languages. Keyword co-occurrence networks highlighted distinct focal points, with financial performance appearing in all the research themes. The meta-analysis indicated a low overall positive correlation between ESG and financial performance. However, Chinese and Korean papers demonstrated a moderate correlation, while English papers showed no significant correlation. This study informed scholarly, managerial, and policy discourse on sustainable business practices, contributing to the evolving ESG landscape.
Buildings in Hot Climate Zones—Quantification of Energy and CO2 Reduction Potential for Different Architecture and Building Services Measures
Authors: Österreicher Doris , Seerig Axel
Published: November 2024

Reducing energy and associated greenhouse gas emissions in buildings is one of the key aspects of climate change on a global level. To put the building sector on a low carbon development path, policies and adequate financing play a crucial role in each region. In the global South, policies and regulations related to the decarbonization of the building stock are increasingly being implemented. For policy and decision makers, adequate data on the status quo of the building stock, as well as the quantification of energy reduction measures, are essential to make informed decisions on the building regulatory and funding framework. The objective of this study is to provide data-driven insights into the potential for energy and CO2 reduction in buildings across various hot climate zones in the Global South. A simulation-based approach was employed to model five different building types, ranging from residential homes to office buildings, under a variety of architectural and building services scenarios. The simulations were conducted using the dynamic building energy simulation tool EnergyPlus, which assessed the impact of various energy-saving measures under both current and projected future climate conditions. This study concludes that optimizing passive design features, such as improved windows, solar shading, and reflective surfaces, in conjunction with active systems like decentralized cooling units and renewable energy integration, can result in a notable reduction in energy demand and emissions. Our findings provide a robust basis for policymakers to develop targeted energy efficiency strategies for buildings in hot climate zones, which will play a crucial role in achieving climate goals in the Global South.
The Emission Balance of Selected Groups of Fuels Used in Households to Generate Pollution in the Małopolskie Voivodeship
Authors: Matuła Rafał , Maruta Michał
Published: November 2024

This article presents an analysis of the relationship between air pollution and the type of fuel used in households in the Małopolskie Voivodeship from 2010 to 2021. For this article, they are marked as HEU-C (coal), HEU-L (liquid), and HEU-O (other). The analysis area was selected due to the constantly occurring problem of air pollution with PM10 and PM2.5. Using regression, the relationships between energy consumption in households and specific components of air pollution recorded in the Małopolskie region were established. The developed models were used to determine the potential of individual groups of fuels to generate pollution. The primary finding suggests that the derived regression models offer an appropriate predictive framework. Studies show significant reductions in pollutants like BbF, Cd, Pb, and PM2.5. Increasing the use of HEU-O fuel is key to cleaner air in the Małopolskie Voivodeship. However, HEU-O may emit more NOx and NO2 than HEU-C. The selected thematic emphasis differentiates this article from others examining air quality issues within the Małopolskie Voivodeship.
A Review on Research of Prefabricated Building Costs: Exploring Collaborations, Intellectual Basis, and Research Trends
Authors: Liu Hui , Zainul Abidin Nazirah
Published: November 2024

This analysis provides a comprehensive overview of current research regarding prefabricated construction costs, explained under three main categories: collaboration, intellectual basis, and research trends. The collaboration network covers country, institution, and journal distribution. Intellectual basis includes a cited journal, cited reference, and cited author, while research trends cover research category, keyword and keyword cluster analysis, and cited reference cluster. Through bibliometric analysis, we find that this field has garnered significant attention in the academic community and has developed rapidly. China dominates the field of prefabricated construction, with Curtin University, Chongqing University, and Deakin University being the leading research institutions, while Automation in Construction is the most cited journal. Although technology integration is widely regarded as a key means of cost optimization, its high implementation costs and complexity have limited its widespread application. The challenges of technology integration lie in the need to address high capital costs, complex management practices, and the demand for advanced technology integration, which have become significant barriers to the promotion of prefabricated construction. Moreover, current research also focuses on how to enhance risk control and management practices in cost management to promote sustainable development. Future research will focus on green and sustainable technologies, multidisciplinary engineering, energy and fuel, construction technologies to optimize prefabricated construction techniques, advance low-carbon building practices, and improve decision analysis and risk management. The key factors influencing costs include technological factor, policy factors, market and environmental factors, and organizational management. By systematically controlling these factors, cost pressures can be effectively alleviated, construction efficiency improved, and the sustainability of prefabricated buildings enhanced. This study not only provides a comprehensive analysis of the current state and trends in research on the costs of prefabricated construction but also highlights the critical role of technological innovation, policy optimization, and interdisciplinary collaboration in promoting the sustainable development of prefabricated construction globally.
The Potential of the Society 5.0 Strategy to Be a Solution to the Political and Structural Problems of Countries: The Case of Türkiye
Authors: Topcuoglu Ethem , Oktaysoy Onur , Kaygin Erdogan , Kosa Gozde , Uygungil-Erdogan Selen , Kobanoglu Mehmet Selman , Turan-Torun Burcu
Published: November 2024

Türkiye is making great efforts to generate new projects within the scope of the “Türkiye Century” strategy, with the aim of increasing its effectiveness in the international community and the welfare of its citizens. In this respect, it is of great importance to conduct new studies and develop suggestions to further increase the effectiveness of new projects. This study seeks to provide a solution to the problems in politics, education, economy, public administration, justice, and corruption identified and reported by international organizations such as the OECD, the European Union, and the public institutions of the Republic of Türkiye, by associating them with the Society 5.0 strategy. The study aims to test the applicability of Society 5.0 in solving these problems through structural equation modeling using niche innovation and convergent stakeholder theories. In the light of the data obtained, it is realized that Society 5.0 has an effect on all the other variables except for one and the policy variable mediates this situation. In this regard, in accordance with the findings, it can be stated that Society 5.0 can be regarded as a significant alternative for solving the problems experienced on a suitable political basis.
The Integration of Economic, Environmental, and Social Aspects by Developing and Demonstrating an Analytical Framework That Combines Methods and Indicators Using Mavumira Village as a Case Study
Authors: Come Zebra Emília Inês , Windt Henny J. van der , Nhambiu Jorge Olívio Penicela , Golinucci Nicolò , Gandiglio Marta , Bianco Isabella , Faaij André P. C.
Published: November 2024

Access to electricity is a crucial factor in boosting the economic, environmental, and social development of developing nations. This study presents a framework that combines and integrates indicators and methods to determine the most sustainable solution for off-grid electrification, focusing on the Mavumira village in Mozambique. The framework covers various methods including input–output, life cycle assessment based on SimaPro, and HOMER. Data for the analysis were obtained from the literature, the HOMER database, and the ecoinvent database. Our results show that renewables are the most sustainable solutions compared to diesel-only options as they can lower the cost of electricity by 20%, create approximately 26 more local jobs, reduce about 77% of greenhouse gas emissions caused by burning fossil fuels, and have higher values of HDI than diesel-only options. Using the MCDA (TOPSIS method), we found that the future renewable scenario ranked highest with a closeness value of one, while the diesel-only option ranked third and fourth on a ranking scale from 1 to 4. This study concludes with future research directions for applying the framework to other case studies using different renewable technologies like wind, hydropower, and biomass in villages with similar characteristics to Mavumira. The novelty of this study lies in applying various methods and indicators to analyze the sustainability of an implemented project for the current and future scenarios. Additionally, the framework presented in this study would assist policymakers in selecting the best energy alternatives for rural electrification.
Roles of Personal Values and Information Technology Usage in Forming the University Students’ View of Environmental Sustainability: A Preliminary Regional Study of Economics and Business Students
Authors: Alfirević Nikša , Potočan Vojko , Nedelko Zlatko
Published: November 2024

This study focuses on two significant factors shaping university students’ perception of environmental sustainability. Those are (a) personal values, measured by the Portrait Values Questionnaire (PVQ) and (b) the usage of and proficiency in information technology. Personal values have been widely used to analyze individual perspectives toward various issues, including environmental ones. As contemporary social arrangements include significant influences from social networks and mobile phone usage, overall engagement with technology becomes an essential factor affecting university student attitudes and behaviors. While the individual impact of those factors can be found in the extant literature, we look into their interaction concerning university student pro-environmental attitudes, measured by the Revised NEP (New Ecological Paradigm) Scale, and their environmental self-efficacy. Our sample comes from the population of undergraduate business and economics students from Central and Southeast Europe, specifically Slovenia, Croatia, Bosnia and Herzegovina, Serbia, and Montenegro. We discuss our findings in the context of previous studies from the same regions and consider the unique socio-economic factors. The research results address Sustainable Development Goals 4 (quality education), 12 (responsible consumption and production), and 13 (climate action) by analyzing the factors contributing to university student pro-environmental attitudes and their self-efficacy in the context of their information technology usage and proficiency.
The Impact of Residential Building Insulation Standards on Indoor Thermal Environments and Heat-Related Illness Risks During Heatwaves: A Case Study in Korea
Authors: Ham Hee Jung , Lee Sungsu , Kim Ho-Jeong
Published: November 2024

This study investigates the impact of building insulation standards on indoor thermal environments and the risk of heat-related illnesses during heatwaves in South Korea. Indoor temperatures were measured in residential buildings located in Chuncheon and Gwangju during the 2022 heatwave, with outdoor temperature data sourced from the Korea Meteorological Administration. Probability distribution fitting was used to estimate the likelihood of indoor temperatures exceeding the critical threshold of 27 °C. Additionally, a linear regression analysis was conducted to examine the relationship between the probability of exceeding the threshold and heat-related illness data from 2017 to 2023 provided by the Korea Disease Control and Prevention Agency. The findings reveal significant variations in indoor thermal conditions during heatwaves, influenced by factors such as building type, year of construction, and climate region, which affect the thermal insulation performance. Buildings with a lower thermal insulation performance were associated with higher indoor temperatures, increasing the likelihood of exceeding the critical threshold and contributing to a higher incidence of heat-related illnesses, particularly in provincial non-metropolitan areas. These results underscore the need for region-specific building insulation standards that address both winter energy efficiency and summer heatwave resilience. Enhancing thermal insulation in vulnerable regions could significantly reduce the risk of heat-related illnesses and improve public health resilience to extreme heat events.
Research on Education for Sustainable Development with Design-Based Research by Employing Industry 4.0 Technologies for the Issue of Single-Use Plastic Waste in Taiwan
Authors: Nagatomo Daisuke
Published: November 2024

The social impacts of prevailing circular economy (CE) strategies remain under-researched despite the considerable attention that CE has received from scholars and in industry. Existing CE indicators primarily focus on business models from a decision-making standpoint, overlooking consumer engagement and alternative solutions. Boasting one of the highest recycling rates globally, Taiwan faces challenges in optimizing collected resources. This study delves into recycling plastic waste by integrating consumer behavior within CE strategies, leveraging open-source resources and additive manufacturing technologies to align with the United Nations Agenda 2030, particularly Sustainable Development Goals (SDGs) 4 (Quality Education), 12 (Responsible Consumption and Production), and 13 (Climate Action). These resources facilitate the transformation of plastic waste into reusable materials. Employing an exploratory and participatory action research approach, this research uses the Precious Plastic Universe (PPU) database to identify potential resources from post-consumer polymer waste. Subsequently, it explores tools for converting collected waste into usable polymers. Lastly, the study investigates integrating collected polymer waste into student design projects to enhance creativity and problem-solving skills for sustainable development, employing additive manufacturing tools at the National Taiwan Normal University Department of Design. Thematic analysis of the data revealed several recurring patterns, including the role of consumer behavior in plastic waste generation, the development of creativity and problem-solving skills among students, and the challenges of working with recycled materials. These themes were observed in quantitative data (collected single-use polymers) and qualitative insights from student observations and interviews. Through thematic analysis, the study highlights key factors contributing to successful CE integration, providing a model for future educational and industrial applications of sustainable design.
Are Good Deeds Rewarded?—The Impact of Traditional Morality and Modern Responsibility on Green Innovation
Authors: Wang Guangliang , Tang Boang , Li Linyao
Published: November 2024

The essence of intergenerational sustainability emphasizes the necessity of incorporating altruistic thinking and culture. While prior studies primarily examined corporate innovation strategies from a self-interested lens, this paper aims to investigate the drivers of corporate green innovation from an altruistic perspective. Analyzing a sample of Chinese A-share listed companies from 2011 to 2019, we employ both the OLS model and the mediation effect model to explore how traditional morality and modern responsibility impact corporate green innovation, as well as the mechanisms underlying this relationship. Our findings reveal that both traditional morality and modern responsibility significantly enhance corporate green management innovation, with social trust serving as a key mediating factor. Furthermore, traditional morality and modern responsibility play distinctive roles depending on the stage of economic development: traditional morality primarily influences green innovation in the early stages of economic development, whereas modern responsibility becomes more influential as development progresses. This study provides meaningful insights for research and practice in corporate sustainability, business ethics, and innovation strategy.
The Impact of Seasonal Climate on Dryland Vegetation NPP: The Mediating Role of Phenology
Authors: Liu Xian , Li Hengkai , Zhou Yanbing , Yu Yang , Wang Xiuli
Published: November 2024

Dryland ecosystems are highly sensitive to climate change, making vegetation monitoring crucial for understanding ecological dynamics in these regions. In recent years, climate change, combined with large-scale ecological restoration efforts, has led significant greening in China’s arid areas. However, the mechanisms through which seasonal climate variations regulate vegetation growth are not yet fully understood. This study hypothesizes that seasonal climate change affects net primary productivity (NPP) of vegetation by influencing phenology. We focused on China’s Windbreak and Sand-Fixation Ecological Function Conservation Areas (WSEFCAs) as representative regions of dryland vegetation. The Carnegie–Ames–Stanford Approach (CASA) model was used to estimate vegetation NPP from 2000 to 2020. To extract phenological information, NDVI data were processed using Savitzky–Golay (S–G) filtering and threshold methods to determine the start of season (SOS) and end of season (EOS). The structural equation model (SEM) was constructed to quantitatively assess the contributions of climate change (temperature and precipitation) and phenology to variations in vegetation NPP, identifying the pathways of influence. The results indicate that the average annual NPP in WSEFCAs increased from 55.55 gC/(m2·a) to 75.01 gC/(m2·a), exhibiting uneven spatial distribution. The pathways through which seasonal climate affects vegetation NPP are more complex and uneven. Summer precipitation directly promoted NPP growth (direct effect = 0.243, p < 0.001) while also indirectly enhancing NPP by significantly advancing SOS (0.433, p < 0.001) and delaying EOS (−0.271, p < 0.001), with an indirect effect of 0.133. This finding highlights the critical role of phenology in vegetation growth, particularly in regions with substantial seasonal climate fluctuations. Although the overall ecological environment of WSEFCAs has improved, significant regional disparities remain, especially in northwestern China. This study introduces causal mediation analysis to systematically explore the mechanisms through which seasonal climate change impacts vegetation NPP in WSEFCAs, providing new insights into the broader implications of climate change and offering scientific support for ecological restoration and management strategies in arid regions.
Examining Teachers’ Computational Thinking Skills, Collaborative Learning, and Creativity Within the Framework of Sustainable Education
Authors: Tongal Ayşegül , Yıldırım Fatih Serdar , Özkara Yasin , Say Serkan , Erdoğan Şükran
Published: November 2024

This study seeks to explore the relationship between science teachers’ computational thinking skills, collaborative learning attitudes, and their creativity in the context of sustainable education. The study adopted an explanatory sequential design, which is one of the designs used in mixed-method research. A total of 369 science teachers were included in the quantitative phase of the study. Quantitative data were collected using three different scales. These scales included the “Computational Thinking Scale”, “Online Cooperative Learning Attitude Scale (OCLAS)”, and “Creative Self-Efficacy Scale”. Structural Equation Modelling (SEM), confirmatory factor analysis, and path analysis were conducted to analyze the quantitative data. The qualitative phase of the study consisted of nine science teachers. Data were collected with a semi-structured interview form by considering the scores obtained from the scales. Qualitative data were analyzed through descriptive analysis. It was found that science teachers’ computational thinking skills and collaborative learning attitudes significantly predicted their creativity within the framework of sustainable education. As a result of the interviews conducted, it was concluded that science teachers lacked computational thinking skills. It is critical to provide teachers with guidance on how to integrate computational thinking skills into their subject areas. Science teachers’ knowledge of computational thinking skills can be enhanced, and computational thinking skills can be included in all teacher education programs.
EU Citizens’ Perception of Risks Posed to the Sustainability of EU Food Security
Authors: Mata Fernando , Barros Diana , Pereira-Pinto Ricardo , Pires Preciosa
Published: November 2024

Food security is a core global sustainability challenge and priority of the UN Sustainable Development Goals. Events like COVID-19, extreme weather, and global conflicts have significantly impacted food prices, as evidenced by the FAO food price index rising from 95.1 in 2019 to 143.7 in 2022, heightening EU food security concerns. The European Commission responded with a food supply contingency plan. According to Eurobarometer data, our study shows that EU citizens’ food security concerns vary by demographic, political, and socioeconomic factors. While men prioritize external factors like climate change, women express greater concern for local social issues, including small farm viability. Age influences the concern focus, with younger people worried about agricultural stagnation, and older individuals recalling past economic crises. Education and income also play roles, with educated and wealthier citizens worried about environmental risks, and less educated, poorer individuals more concerned about socioeconomic impacts. Political leanings and urban/rural divides shape concerns, as well as EU policy dissatisfaction, which links to worries over economic vulnerability and nationalism. Effective EU food security policies require understanding complex factors, stakeholder collaboration, and tailored strategies for diverse needs. Our findings suggest the need for EU policies to incorporate demographic nuances, ensuring food security sustainability across socioeconomic and political spectrums.
Analysis of the Causes and Configuration Paths of Explosion Accidents in Chemical Companies Based on the REASON Model
Authors: Wang Chao , Lu Bo , Shi Ruyi
Published: November 2024

Explosion accidents, representing one of the most severe accident types within the chemical industry, pose substantial threats to personnel safety, economic losses, and environmental pollution, among other consequences. This paper constructs a research framework based on the REASON theory, utilizing accident investigation reports of 30 typical chemical enterprise explosion accidents in China from 2013–2022 as research samples. The fsQCA method is employed to deeply explore the influencing factors and causal configuration pathways of chemical explosion accidents from a configurational perspective. The study findings indicate that the occurrence of explosions in chemical enterprises is the result of the coupled effects of multiple factors, with five complex accident causation configurations, which can be summarized into the following three categories: organizational management deficiencies, supervision deficiencies, and behavior–risk linkages. Organizational management and safety supervision have a direct and significant impact on the occurrence of explosions in chemical enterprises and are key factors in the accidents. The research conclusions contribute to a rational understanding of the complex causes of explosions in chemical enterprises and provide practical guidance for the prevention and control of such accidents.
Techno-Economic Analysis of BAU-STR Dryer for Rice Drying: An Approach to Accelerate Adoption
Authors: Islam Md. Hamidul , Momin Abdul , Saha Chayan Kumer , Alam Md. Monjurul , Islam Shahidul
Published: November 2024

Postharvest food loss and waste offset worldwide agricultural productivity and food security. Insufficient drying and storage are the prominent drivers of food loss and waste in underdeveloped countries. Mechanical grain drying systems have distinct benefits over sun drying but are inaccessible to underserved communities due to high capital costs and energy demand. This study evaluated the techno-economic and financial performance of a half-ton-capacity BAU-STR dryer. The moisture extraction rate, drying rate, drying efficiency, and energy consumption were used as technical performance indicators. In contrast, the net present value (NPV), internal rate of return (IRR), benefit–cost ratio (BCR), and payback period were considered economic performance indicators. The technical performance analysis results revealed that the moisture content of rice was reduced from 19.5% to 13.5 ± 0.15% in 4.0 h with an average drying rate of 1.5%/h and a drying efficiency of 75.1%. The financial performance analysis resulted in a drying cost, NPV, IRR, BCR, and PBP of USD 0.96 per 100 kg of grain, USD 3018, 135%, 3.0, and 0.73 yr., respectively, when the annual use was 240 h. If the yearly use of the dryer increased from 240 to 720 h, a higher NPV, IRR, and BCR, as well as a lower payback period and drying cost, could be achieved. Adopting a BAU-STR dryer for drying grain (rice and corn) among underserved communities could play a key role in postharvest food loss and waste.
Youth Well-Being and Economic Vitality: Fostering Sustainable Development Through Green Leisure Sports
Authors: Zhou Qianqian , Zheng Yong-Zhan , Lin Hsiao-Hsien , Yan Xue-Qi , Peng Rui , Tsai I-En , Tseng Yi-Han
Published: November 2024

This study delves into the transformative potential of low-carbon leisure education (LCLE) in promoting sustainable development within rural lake regions, focusing particularly on its impact on youth well-being and regional economic vitality. Utilizing a mixed-methods approach, we surveyed 650 participants and conducted interviews with experts, visitors, and locals to gauge the effectiveness of LCLE initiatives. The findings indicate a significant positive correlation between LCLE engagements and improvements in the leisure environment, economic development, and ecological conservation. However, the study reveals a youth welfare divide, whereby younger individuals are unable to fully benefit from LCLE programs due to gaps in environmental consciousness and accessibility. The paper proposes a holistic approach to LCLE that includes enhancing environmental awareness among youth, making participation in low-carbon leisure activities more accessible and affordable, and fostering a culture of sustainable enjoyment. The expected outcomes suggest strengthened rural economies, enriched leisure and ecological environments, and a healthier, more sustainable lifestyle for the younger population. This research underscores the importance of integrating educational initiatives into rural development strategies, thereby contributing to the knowledge economy through innovative approaches to sustainability and youth engagement in rural settings.
Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology
Authors: Rammohan Bommi , Partheeban Pachaivannan , Ranganathan Ranihemamalini , Balaraman Sundarambal
Published: November 2024

The most prominent source of drinking water is groundwater, followed by lakes and reservoirs. Hydrological parameters like temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity often change due to waste dumping into natural drinking water sources, particularly in densely populated areas. As a result, the water quality must be tested before public consumption to ensure healthy living in society. This research collected water samples from 129 wells in the Kanchipuram district in Tamil Nadu, India. An efficient integrated machine-learning-based prediction model has been proposed and modeled to determine the groundwater quality index (GQI). Several machine learning models were used to predict the water’s quality, including the naïve Bayes model, the KNN classifier, and the XGBoost classifier. Water quality predictions in 2024 were made using a combination of classification algorithms and models based on long short-term memory (LSTM) neural networks. The projected water quality characteristics were analyzed using geographical information system (GIS) technology to better understand and visualize the results. The XGBoost classifier model outperforms prior findings in the literature, with an accuracy of roughly 94.6%. The classification and prediction model was validated using collected and tested current data samples from a selected well. The findings were accurate within the 5% error range, promoting sustainability.
Shadow Economy and Environmental Sustainability in Global Developing Countries: Do Governance Indicators Play a Role?
Authors: Wang Yi , Antohi Valentin Marian , Fortea Costinela , Zlati Monica Laura , Mohammad Reda Abdelfattah , Abdelkhair Farah Yasin Farah , Ahmad Waqar
Published: November 2024

Environmental sustainability has been a challenging issue all over the globe, with air pollution posing a significant threat. One main factor contributing to air pollution is the growth of the shadow economies. This study investigates the effect of the shadow economy on air pollution and explores how these effects depend on the levels of governance indicators. We utilize key air pollution indicators: carbon dioxide (CO2) and nitrous oxide (N2O) emissions. Furthermore, we examine the role of key governance indicators: corruption control, the rule of law, and regulatory quality. The study utilizes an annual panel dataset of 107 selected developing countries worldwide, spanning from 2002 to 2020, and employs the System GMM technique, which effectively tackles the omitted variable bias, potential endogeneity, and simultaneity issues in the model. The estimation results indicate that a sizeable shadow economy significantly increases the levels of CO2 and N2O emissions. Moreover, the results reveal that robust governance frameworks, evidenced by enhanced corruption control, a stronger rule of law, and superior regularity quality, mitigate the adverse effects of the shadow economy on CO2 and N2O emissions. This highlights a significant substitutability between the shadow economy and governance indicators, indicating that improvements in governance formworks will not only reduce the size of the shadow economy but also weaken its harmful impact on air pollution. Policy initiatives should thus focus on strengthening governance mechanisms, particularly enhancing control of corruption and the rule of law to effectively reduce the environmental impact of the shadow economies in developing countries. Additionally, governments should prioritize reforms in regulations and legal frameworks to limit the expansion of the shadow economy, thereby decreasing their contribution to air pollution.
Forecasting Maritime and Financial Market Trends: Leveraging CNN-LSTM Models for Sustainable Shipping and China’s Financial Market Integration
Authors: Han Zihui , Zhu Xiangcheng , Su Zhenqing
Published: November 2024

With the acceleration of economic globalization, China’s financial market has emerged as a vital force in the global financial system. The Baltic Dry Index (BDI) and China Container Freight Index (CCFI) serve as key indicators of the shipping sector’s health, reflecting their sensitivity to shifts in China’s financial landscape. This study utilizes an innovative CNN-LSTM deep learning model to forecast the BDI and CCFI, using 25,974 daily data points from the Chinese financial market between 5 May 2015 and 30 November 2022. The model achieves high predictive accuracy across diverse samples, frequencies, and structural variations, with an R2 of 97.2%, showcasing its robustness. Beyond its predictive strength, this research underscores the critical role of China’s financial market in advancing sustainable practices within the global shipping industry. By merging advanced analytics with sustainable shipping strategies, the findings offer stakeholders valuable tools for optimizing operations and investments, reducing emissions, and promoting long-term environmental sustainability in both sectors. Additionally, this study enhances the resilience and stability of financial and shipping ecosystems, laying the groundwork for an eco-friendly, efficient, and sustainable global logistics network in the digital era.
ChatGPT-Supported Education in Primary Schools: The Potential of ChatGPT for Sustainable Practices
Authors: Uğraş Hilal , Uğraş Mustafa , Papadakis Stamatios , Kalogiannakis Michail
Published: November 2024

This study aims to evaluate the potential of using ChatGPT at the primary school level from the teachers’ perspective within a sustainability framework. The research was conducted as a qualitative case study involving 40 primary school teachers in Turkey during the 2023–2024 academic year, all of whom had no prior experience with ChatGPT. Data collection tools included semi-structured interview forms and researcher diaries developed by the researchers. The data obtained were analysed using content analysis. The findings indicate that most primary school teachers believe ChatGPT is suitable for primary education and can contribute to Sustainable Development Goal (SDG) 4. Additionally, teachers noted that ChatGPT enriches the teaching process and is user-friendly. These findings suggest potential contributions to SDG 4.1 and SDG 4.2. However, concerns were raised regarding ChatGPT’s potential to provide false information, which may negatively impact SDG 4.7. The study also identified that ChatGPT is particularly suitable for mathematics, Turkish, and English courses. This study’s main contribution is that it shows how ChatGPT can help sustainable practices in primary education by getting teachers more involved and meeting specific curriculum needs. This gives us useful information for incorporating AI tools into education that is in line with SDG 4. It is recommended that training programs about ChatGPT and similar AI-supported tools be organised for teachers and parents.
Source Apportionment of Carbonaceous Matter in Size-Segregated Aerosols at Haikou: Combustion-Related Emissions vs. Natural Emissions
Authors: Cao Lingling , Luo Li , Wang Chen , Wang Mingbin , Yang Rongqiang , Kao Shuhji
Published: November 2024

Air pollution can induce diseases and increase the risks of death, and it also has close links with climate change. Carbonaceous matter is an important component of aerosols, but studies quantifying the source apportionment of carbonaceous compositions in different-sized aerosols from a stable carbon isotopic perspective remain scarce. In this study, fine (particulate size < 2.5 μm) and coarse (particulate size 2.5~10 μm) particles were collected from December 2021 to February 2022 (winter) and from June to August 2022 (summer) in the tropical city of Haikou; the concentrations of water-soluble inorganic ions (WSIIs) and total carbonaceous matter (TC) and the stable carbon isotope of TC (δ13C-TC) values in both fine and coarse particles were analyzed. Higher concentrations of TC, SO42−, NO3−, and NH4+ but lower δ13C-TC values in fine particles than those in coarse particles in both winter and summer indicated that combustion-related emissions dominate fine particulate TC sources. The δ13C-TC values coupled with the stable isotope mixing model in R (SIAR) results showed that combustion-related emissions contributed 77.5% and 76.6% to the TC of fine particles in winter and summer, respectively. Additionally, the lowest δ13C-TC values were observed in summertime fine particles; plant physiological activity was identified as an important source of fine particulate TC in summer and contributed 12.4% to fine particulate TC. For coarse particles, higher δ13C-TC values and Ca2+ and Na+ concentrations but lower TC concentrations implied significant contributions from natural emissions (29.2% in winter and 44.3% in summer) to coarse particulate TC. This study underscores that instead of fossil fuels and biomass, clean energy can decrease 45–78% of aerosol TC at Haikou. In addition, our results also provide a dataset for making environmental policy and optimizing the energy structure, which further favors the sustainable development of air quality.