bluuebunny/crossref_metadata_2025 huggingface dataset:
New Sustainable Fintech Business Models Created by Open Application Programming Interface Technology: A Case Study of Korea’s Open Banking Application Programming Interface Platform
Authors: Oh Sangseung , Chung Gyongchan , Cho Keuntae
Published: August 2024

Fintech facilitates financial inclusion by introducing new sustainable and accessible business models in developing countries. Open banking API technology is used by various fintech businesses in both developing and developed countries, with varying effects on financial markets. It changes the financial market distribution structure by separating financial product manufacturing and distribution and intensifying competition between traditional financial institutions and fintech companies. Fintech companies innovate by using this tool to create new business models. In December 2019, Korea established a standardized “open banking API platform”, sharing an interbank payment network with fintech companies. It has since shown explosive growth, surpassing the trading volume of the UK, the country that introduced open banking APIs for the first time. This study analyzes new business models fintech companies created using this API technology. Based on existing literature, statistics from the platform operator (the Korea Financial Telecommunications and Clearings Institute), and investigations of 30 Korean fintech mobile applications, this study analyzes new fintech business models that provide financial services using this platform. These companies create sustainable business models by combining multiple APIs. Four representative business models (simple funds transfer, simple payment, cross-border remittance, and asset management) are analyzed to reveal how fintech companies create business models with open APIs.
“Crowding Out” or “Reservoir Effect”? Unraveling the Impact of Financialization on Green Innovation in Heavy Polluting Enterprises: Evidence from China’s Listed Companies
Authors: Zhong Zifeng , Li Kunming
Published: August 2024

In the era of green transformation and sustainable development, green innovation has become a key force driving the greenization of the economy and society, as well as achieving global sustainable development goals. This study aims to investigate the impact of financialization on green innovation in heavy polluting enterprises, a sector where enhancing green innovation capabilities is crucial for both industry transformation and sustained economic growth. As the financialization of enterprises deepens, its effects on green innovation become increasingly significant. Based on data from 667 listed companies in China, we explore the mechanisms through which financialization influences green innovation. Our findings reveal that financialization has both a potential “reservoir” effect, which provides financial support for green innovation, and a significant “crowding out” effect, with the latter outweighing the former, thereby suppressing investment in green innovation. Further analysis indicates that these effects exhibit significant heterogeneity across different property rights, regions, and corporate debt-to-asset ratios. Additionally, the short-term debt-paying ability of enterprises and market competitiveness play important regulatory and threshold roles in this relationship. This study not only provides a new perspective for understanding the relationship between the financialization of heavy polluting enterprises and green innovation but also offers valuable insights for promoting the coordinated development of both and addressing the challenges of green innovation.
From Urban Design to Energy Sustainability: How Urban Morphology Influences Photovoltaic System Performance
Authors: Huang Yanyan , Yang Yi , Ren Hangyi , Ye Lanxin , Liu Qinhan
Published: August 2024

In response to the pressing need for sustainable urban development amidst global population growth and increased energy demands, this study explores the impact of an urban block morphology on the efficiency of building photovoltaic (PV) systems amidst the pressing global need for sustainable urban development. Specifically, the research quantitatively evaluates how building distribution and orientation influence building energy consumption and photovoltaic power generation through a comprehensive simulation model approach, employing tools, such as LightGBM, for the enhanced predictability and optimization of urban forms. Our simulations reveal that certain urban forms significantly enhance solar energy utilization and reduce cooling energy requirements. Notably, an optimal facade orientation and building density are critical for maximizing solar potential and overall energy efficiency. This study introduces novel findings on the potential of machine learning techniques to predict and refine urban morphological impacts on solar energy efficacy, offering robust tools for urban planners and architects. We discuss how strategic urban and architectural planning can significantly contribute to sustainable energy practices, emphasizing the application of our results in diverse climatic contexts. Future research should focus on refining these simulation models for broader climatic variability and integrating more granular urban morphology data to enhance precision in energy predictions.
The Green Entrepreneurial Self-Efficacy as an Innovation Factor That Enables the Creation of New Sustainable Business
Authors: Sanchez-Garcia Victoria Eugenia , Gallego Cristina , Marquez Juan Antonio , Peribáñez Elena
Published: August 2024

This study examined the role of green entrepreneurial self-efficacy (GESE) through the lens of dynamic capabilities in innovation and adaptation. The research model postulated a relationship between the reconfiguration of entrepreneurial capabilities necessary to achieve a sustainable business model in the market. A structured questionnaire was adopted, validated, and disseminated among 917 entrepreneurs in Spain and Portugal (Iberian Peninsula). The findings confirmed a significant positive effect of dynamic capabilities on green and sustainable entrepreneurial intentions, mediated by self-efficacy. The study’s results indicate significant relationships between the capabilities studied, and that innovation and adaptation capabilities influence green entrepreneurial self-efficacy. These results are fundamental in guiding the market towards business models that need to be reconfigured to generate value through social impact. We offer management implications for organizations, academics, and other stakeholders, such as policymakers, so that the needs of the green market in the Iberian Peninsula can be met more efficiently.
Educating Professionals to Develop Nature-Based Solutions (NBS) as Infrastructure for Water Pollution Control: A Course Proposal
Authors: Vera-Puerto Ismael , Valdés Hugo , Laurens-Arredondo Luis , López-Cortés Xaviera , Quiroz Marco , Hernández-Crespo Carmen , Belmonte Marisol , Campos José Luis , Martín-Monerris Miguel , Miglio Rosa , Molle Pascal , Arias Carlos A.
Published: August 2024

The objective of this study was to design a university-level course focused on Nature-Based Solutions (NBS) for water pollution control. The work unfolded in three phases: the initial planning, course delivery, and assessment of learning outcomes. In the planning phase, a set of competencies was outlined using the Developing a Curriculum Method (DACUM), resulting in defined learning outcomes and a structured course outline. Subsequently, the course was conducted over a two-week period, employing a hybrid format including both online and in-person sessions. The assessments of the learning outcomes included one test, an assignment, a satisfaction survey, and the post-course feedback. As a result of the planning phase, four competencies, seven learning outcomes and four course units were defined. The participant cohort encompassed a diverse group of 50 individuals, including undergraduate and postgraduate students, professionals working in industry and institutions, and professors. The assessment of the learning outcomes showed good results. However, issues regarding the mathematical calculations and field-trip experience were noted, suggesting areas for course enhancement. The participants expressed high satisfaction levels across the various course components. Notably, 70% of the participants indicated the application of the acquired knowledge in their professional endeavors. These findings underscore the successful implementation of the course, establishing it as a pioneering university-level program in NBS for water pollution control.
Evaluation of Sustainable Tourism Development in Dachen Island, East China Sea: Stakeholders’ Perspective
Authors: Ali Hazem , Li Yanchao
Published: August 2024

Sustainable tourism development on small islands remains challenging because of the potential conflict of interest among relevant stakeholders. This study aims to explore the issue of sustainable tourism development in small island destinations through the example of Dachen Island in China. More specifically, this study intends to fulfill three objectives: (1) assess the stakeholders’ perception of tourism sustainable development using five major sustainability dimensions: economic sustainability, sociocultural sustainability, environmental sustainability, tourism development, and tourism management; (2) explore the major reasons for potential conflict of interest among the stakeholders; and (3) propose some conflict resolution mechanisms. Semistructured interviews were used to collect data from 29 stakeholders including locals, visitors, officials, and academicians. The findings indicated that sustainable tourism is developing rapidly on Dachen Island and our respondents showed reasonable satisfaction with the five sustainability dimensions, with emphasis placed on the potential for improving sustainable performance in the future. However, locals were less satisfied with the economic sustainability than other stakeholders. Limited conflict of interest among stakeholders was justified based on the ranking of their perceived priorities. Our findings recommend adopting responsible tourism and we highlight three conflict resolution mechanisms to ensure effective sustainable tourism development on Dachen Island, including the involvement of local communities in decision making, encouraging responsible visitor behavior, and enhancing infrastructure and services.
Mechanism and In Situ Prevention of Oxidation in Coal Gangue Piles: A Review Aiming to Reduce Acid Pollution
Authors: Li Yuanyuan , Cao Yingjia , Ruan Mengying , Li Rui , Bian Qi , Hu Zhenqi
Published: August 2024

The acid pollution produced from coal gangue piles is a global environmental problem. Terminal technologies, such as neutralization, precipitation, adsorption, ion exchange, membrane technology, biological treatment, and electrochemistry, have been developed for acid mine drainage (AMD) treatment. These technologies for treating pollutants with low concentrations over a long period of time in coal gangue piles appear to be costly and unsustainable. Conversely, in situ remediation appears to be more cost-effective and material-efficient, but it is a challenge that coal producing countries need to solve urgently. The primary prerequisite for preventing acidic pollutants is to clarify the oxidation mechanisms of coal gangue, which can be summarized as four aspects: pyrite oxidation, microbial action, low-temperature oxidation of coal, and free radical action. The two key factors of oxidation are pyrite and coal, and the four necessary conditions are water, oxygen, microorganisms, and free radicals. The current in situ remediation technologies mainly focus on one or more of the four necessary conditions, forming mixed co-disposal, coverage barriers, passivation coatings, bactericides, coal oxidation inhibitors, microorganisms, plants, and so on. It is necessary to scientifically and systematically carry out in situ remediation coupled with various technologies based on oxidation mechanisms when carrying out large-scale restoration and treatment of acidic coal gangue piles.
Observations of Live Individuals and Predicted Suitable Habitat for Chinese Pangolin (Manis pentadactyla) in Guangdong, China
Authors: Zhang Beixi , Cen Peng , Wang Wenhua , Liu Zhicheng , Zhang Fuhua , Lei Chen , Li Yuchi , Zhang Jingyi , Chen Peiqi , Wu Shibao
Published: August 2024

Due to overexploitation and habitat loss, the Chinese pangolin (Manis pentadactyla) is in such extreme decline that it is so rare in the wild as to be considered functionally extinct, even in Guangdong, which was historically a major distribution area for the species. This study sought to verify whether functional extinction has occurred using observation records from field surveys, infrared wildlife cameras, rescue and enforcement cases and the published literature. The results indicated that suitable habitat occurred within 63.4% of the forested land in Guangdong, but only 17.6% of this area was deemed highly suitable, and 82.3% of all suitable habitat occurred outside of protected areas. Thus, the Chinese pangolin is not yet functionally extinct in Guangdong, but urgent conservation and restoration actions must be taken to ensure its persistence. Chinese pangolins in Guangdong Province are primarily distributed in the Lianhua Mountain and Nanling Mountains, with 91.6% belonging to a single population. From 1980 to 2020, the urban area increased by 776 km2, largely via conversion from agricultural land (48.6%). Suitable habitat for Chinese pangolins was reduced and became more fragmented over this time period, highlighting the urgent need for the establishment of protected areas, habitat restoration and cooperation with local residents.
Climate Change, Sustainability, and Education: Conceptions of Teachers of Geography in England
Authors: Healy Grace , Mitchell David , Walshe Nicola
Published: August 2024

Drawing upon a survey of teachers in England conducted by the UCL Centre for Climate Change and Sustainability Education (CCCSE), this paper reports on teachers of geography’s conceptions of climate change, sustainability, climate change education, and sustainability education. We address how teachers of geography across the primary and secondary phase appear to distinguish the concept (climate change or sustainability) from the concept within education (climate change education or sustainability education) given that research to date has not engaged with both these framings together in empirical research with teachers. Across both climate change education and sustainability education, there was recognition for (i) the importance of these concepts for young people, (ii) the ways in which education can support young people to make informed choices or take action, and (iii) the importance of addressing these concepts across subject curricula. Teachers’ descriptions indicate (i) disconnections between policy rhetoric and teaching, (ii) a lack of attention to social and environmental justice, and (iii) an over-focus on individual action.
Examining the Attitude–Behavior Gap in EU Ecolabel Adoption: A Mediation Path Analysis
Authors: Recio-Román Almudena , Recio-Menéndez Manuel , Román-González María Victoria
Published: August 2024

The EU Ecolabel, established in 1992, aims to promote sustainable consumption, yet a significant gap persists between consumers’ positive environmental attitudes and their actual purchasing behavior of ecolabeled products. This study examines the attitude–behavior gap in EU Ecolabel adoption across Europe, leveraging data from the 2023 Eurobarometer survey with 26,630 valid responses from all EU member states. Using mediation path analysis, the research investigates the factors mediating the relationship between environmental knowledge and purchasing behavior, including environmental attitude, ecolabel trust, and environmental concern. The study applies an integrated theoretical framework combining the Knowledge–Attitude–Behavior model and Attitude–Behavior–Context theory to explain the complexities of consumer behavior towards ecolabeled products. The findings reveal the interplay of direct and indirect effects among ecolabel knowledge, trust, environmental concern, attitude, and buying behavior, while also considering demographic factors’ influence such as age, gender, education level, and residential setting. The research provides a comprehensive cross-country analysis within the EU, offering insights into bridging the attitude–behavior gap and enhancing the adoption of eco-friendly products. The results have significant implications for policymakers, marketers, and researchers in promoting sustainable consumer behavior, improving environmental label effectiveness, and developing targeted interventions to increase ecolabel adoption rates.
A Study on Teachers’ Willingness to Use Generative AI Technology and Its Influencing Factors: Based on an Integrated Model
Authors: Lu Haili , He Lin , Yu Hao , Pan Tao , Fu Kefeng
Published: August 2024

The development of new artificial intelligence-generated content (AIGC) technology creates new opportunities for the digital transformation of education. Teachers’ willingness to adopt AIGC technology for collaborative teaching is key to its successful implementation. This study employs the TAM and TPB to construct a model analyzing teachers’ acceptance of AIGC technology, focusing on the influencing factors and differences across various educational stages. The study finds that teachers’ behavioral intentions to use AIGC technology are primarily influenced by perceived usefulness, perceived ease of use, behavioral attitudes, and perceived behavioral control. Perceived ease of use affects teachers’ willingness both directly and indirectly across different groups. However, perceived behavioral control and behavioral attitudes only directly influence university teachers’ willingness to use AIGC technology, with the impact of behavioral attitudes being stronger than that of perceived behavioral control. The empirical findings of this study promote the rational use of AIGC technology by teachers, providing guidance for encouraging teachers to actively explore the use of information technology in building new forms of digital education.
The Blockchain Effect on Courier Supply Chains Digitalization and Its Contribution to Industry 4.0 within the Circular Economy
Authors: Masa’deh Ra’ed , Jaber Mustafa , Sharabati Abdel-Aziz Ahmad , Nasereddin Ahmad Yacoub , Marei Ahmad
Published: August 2024

The goal of this research is to investigate blockchain technology’s influence on digitizing courier supply chains and advancing Industry 4.0, which leads the digitization revolution by integrating blockchain to digitize processes that would serve the circular economy. It evaluates how blockchain enhances transparency, traceability, and digital processes in logistics, promoting sustainability through waste reduction and improved reuse. The study aims to identify the benefits and challenges of blockchain integration, develop a conceptual framework, and provide actionable insights to improve supply chain management, operational efficiency, and sustainability. This research uses a qualitative research method including a literature review as well as interviews for case studies to explore both the benefits and challenges when applying blockchain technology in courier organizations in Industry 4.0 within the circular economy. The results show that blockchain technology can enhance the security, traceability, and efficiency of courier supply chains, reduce theft, error risk, and fraud, as well as facilitate specific process automation via smart contracts. Blockchain technology can support the digital transformation of logistics organizations and enhance circular economy networks in Industry 4.0 by enabling automation, transparency, traceability, and maintaining responsibility for the environment. This research is an exploration of the effect of blockchain technology on the courier supply chain in the logistics firms in Industry 4.0 within the circular economy and the development of a conceptual framework for usage. In addition, it capitalizes on both coordination and collaboration among players through decentralization to obtain maximum fruitful benefits.
Ecosystem Services’ Supply–Demand Assessment and Ecological Management Zoning in Northwest China: A Perspective of the Water–Food–Ecology Nexus
Authors: Zhang Jiaxin , Yang Tao , Deng Mingjiang
Published: August 2024

The coordinated development of the water–food–ecology (WFE) nexus is a practical issue that has to be addressed urgently for northwest China’s (WTL) sustainable development. Optimizing the linkage relationship and accomplishing the rational distribution of resources from the perspective of the supply and demand for ecosystem services (ESSD) are imperative. Thus, in this study, a numerical indicator system for ESSD from the perspective of the WFE nexus was constructed with the incorporation of the water and carbon footprint. Based on this premise, the ecological management zoning method was enhanced by integrating supply and demand risks, and optimization suggestions were proposed for various zones. The results showed that (1) carbon sequestration (CS), food production (FP), and water yield (WY) supply and demand significantly increased between 2000 and 2021. High ESSDs were concentrated in the west side of northwest China. Maize, wheat, cotton, vegetables, and garden fruits had a higher demand for ecosystem services (ESs). (2) The three ESSDs were bound in a synergistic relationship. The synergy between supply exhibited significant spatial heterogeneity, while the synergies between demand showed similar distribution patterns. (3) Regarding quantity matching, the supply for FP and CS surpassed demand, while the WY supply could not meet the demand. The three ESs’ supply and demand deficits rose. Ecological supply–demand ratio (ESDR) regional differentiation for the three ESs was apparent. Regarding spatial matching, FP and CS concentrated on low supply–low demand, while WY focused on high supply–high demand. FP risk was concentrated in Qaidam Basin, whereas WY risk was mostly in Hexi inland river basin (HX), the Yellow River Basin area (HH), and both sides of the “Qice line”. (4) The ecological management zones were formed by integrating WTL’s three dominant weak functional zones, four categorized strategy regions, and four governance models. This study can serve as a scientific benchmark for regional ecological management, which is significant in ensuring northwest China’s water, food, and ecological safety.
Flying High: Revealing the Sustainability Potential of Women in Aviation
Authors: Corazza Maria Vittoria
Published: August 2024

This paper explores the predominantly male-dominated aviation sector and highlights the benefits of increasing female representation. The key objectives are to analyze the gender pay gap, assess the current gender imbalance, and explore how addressing these issues could contribute to the sector’s sustainability and operational success. A combined quantitative and qualitative methodology is employed, including scenario-building based on monetary indicators and achievements from other industries where female workforce participation has been enhanced. The results demonstrate that closing the gender pay gap and boosting female participation in air transport operations, in line with supranational recommendations, can lead to significant financial gains and operational improvements. The study concludes that promoting gender equity is not only a social imperative but also a crucial factor for achieving sustainability goals within aviation.
Characterization of Waste Biomass Fuel Prepared from Coffee and Tea Production: Its Properties, Combustion, and Emissions
Authors: Wu Shangrong , Wang Qingyue , Wang Weiqian , Wang Yanyan , Lu Dawei
Published: August 2024

In order to reduce global warming, new energy fuels that use waste biomass to replace traditional coal are rapidly developing. The main purpose of this study is to investigate the feasibility behavior of different biomass materials such as spent coffee grounds (SCGs) and spent tea grounds (STGs) as fuel during combustion and their impact on the environment. This study involves using fuel shaping and co-firing methods to increase the fuel calorific value and reduce the emissions of pollutants, such as NOX and SO2, and greenhouse gas CO2. The produced gas content was analyzed using the HORIBA (PG-250) laboratory combustion apparatus. The results indicate that, among the measured formed particles, SCG:STG = 8:2, 6:4, and 4:6 had the lowest post-combustion pollutant gas emissions. Compared to using only waste coffee grounds as fuel, the NOx emissions were reduced from 166 ppm to 102 ppm, the CO emissions were reduced from 22 ppm to 12 ppm, and the CO2 emissions were reduced from 629 ppm to 323 ppm. In addition, the emission of SO2, the main component of acid rain, was reduced by 20 times compared to the combustion of traditional fuels. The SO2 emission of five different proportions of biomass fuels was 5 ppm, which is much lower than that of traditional coal fuels. Therefore, SCG and STG mixed fuels can replace coal as fuel while reducing harmful gasses.
Measurement and Evaluation of the Modernization Development Level of Higher Education in China: Based on Panel Data Analysis of 31 Provinces from 2012 to 2022
Authors: Liang Qingqing , Yin Fang
Published: August 2024

The scale and quality of higher education are key indicators of a country’s development level and its potential for future growth. This study utilizes literature analysis and the core functions of higher education institutions to construct an evaluation index system for the modernization level of higher education in China, using data from 2012 to 2022. The results reveal the following: (1) From 2012 to 2022, the modernization level of higher education across China’s 31 provinces generally increased, despite some fluctuations. Beijing consistently maintained the highest level of modernization, while Hainan demonstrated the fastest growth rate. (2) The modernization level of higher education exhibited uneven distribution across the provinces: eleven provinces were at a low level, eight at a moderate level, eight at a relatively high level, and four at a high level. (3) The development level of higher education modernization shows a clear correlation with geographic location and economic development, characterized by a distinct ‘high in the east, low in the west’ pattern. (4) There is a urgent need to enhance the internationalization of higher education development in China. (5) The overall index of higher education development in China displayed a slow decline with fluctuations from 2012 to 2022, reflecting ongoing efforts toward balanced development across the 31 provinces and cities. The most significant disparities in higher education development remain between the western and eastern regions.
Environmental, Social, and Governance Performance, Platform Governance, and Value Creation of Platform Enterprises
Authors: Su Ruixin , Li Na
Published: August 2024

Under the concepts of sustainable development and a sharing economy, the ESG performance of platform enterprises has played a significant role in measuring the operating status and responsible investment of platform enterprises. Platform enterprises have different typical characteristics from traditional enterprises. The mechanisms of ESG and financial performance needs to be further explored. The empirical analysis finds that: (1) the ESG performance of platform enterprises and its S index and G index has a positive impact on corporate financial performance. (2) Media attention plays a positive moderating role between the ESG and ROA. (3) Platform data governance and platform reputation governance are two internal and external paths for platform enterprises’ ESG performance to improve financial performance. (4)There is heterogeneity in the relationship between ESG and ROA in terms of platform enterprise scale and platform type. Based on the above conclusions, this paper provides reference experience for the ESG governance and value creation of platform enterprises.
Sustainable Resource Allocation and Base Station Optimization Using Hybrid Deep Learning Models in 6G Wireless Networks
Authors: Suresh Krishnamoorthy , Kannadasan Raju , Joshua Stanley Vinson , Rajasekaran Thangaraj , Alsharif Mohammed H. , Uthansakul Peerapong , Uthansakul Monthippa
Published: August 2024

Researchers are currently exploring the anticipated sixth-generation (6G) wireless communication network, poised to deliver minimal latency, reduced power consumption, extensive coverage, high-level security, cost-effectiveness, and sustainability. Quality of Service (QoS) improvements can be attained through effective resource management facilitated by Artificial Intelligence (AI) and Machine Learning (ML) techniques. This paper proposes two models for enhancing QoS through efficient and sustainable resource allocation and optimization of base stations. The first model, a Hybrid Quantum Deep Learning approach, incorporates Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). CNNs handle resource allocation, network reconfiguration, and slice aggregation tasks, while RNNs are employed for functions like load balancing and error detection. The second model introduces a novel neural network named the Base Station Optimizer net. This network includes various parameters as input and output information about the condition of the base station within the network. Node coverage, number of users, node count and user locations, operating frequency, etc., are different parametric inputs considered for evaluation, providing a binary decision (ON or SLEEP) for each base station. A dynamic allocation strategy aims for network lifetime maximization, ensuring sustainable operations and power consumption are minimized across the network by 2 dB. The QoS performance of the Hybrid Quantum Deep Learning model is evaluated for many devices based on slice characteristics and congestion scenarios to attain an impressive overall accuracy of 98%.
Conceptualization of ESG Management Values of Professional Sports Clubs: From Consumers’ Perspective
Authors: Myung Wangsung
Published: August 2024

Discussions and practices of sustainability are actively underway around the world. In this social context, this study conceptualized ESG management values focused on sports organizations, especially professional sports clubs in Korea. Utilizing Q methodology, which is suitable for research on individuals’ subjectivity, we explored ESG management values accepted by consumers of Korean professional sports. As a result, the ESG management values were confirmed as follows: “Type I: Trust Management Emphasis”, “Type II: Local Community Emphasis”, and “Type III: Safety–Respect Culture Emphasis”. While each of the three types accepted governance, social responsibility, safety, and respect culture as their main values, they tended to deny environment-related values. Accordingly, this study provided two discussions: “professional sports consumers’ low awareness of the environment” and “reinterpretation of environmental values among the ESG management values of professional sports clubs”. In conclusion, the three types are significant in that (1) they reflect well the social and cultural context of Korean professional sports and consumers’ perceptions, and (2) they provide a new perspective on the ESG management value of professional sports teams.
Financing a Capital-Constrained Supply Chain under Risk Regulations: Traditional Finance versus Platform Finance
Authors: Wu Jun , Yue Liyuan , Li Na , Zhang Qianqian
Published: August 2024

Small- and medium-sized enterprises (SMEs) frequently face challenges in obtaining financial assistance from traditional banks. Platform Supply Chain Finance (PSCF) has emerged as a promising solution for financing issues among SMEs, with an added focus on integrating sustainability aspects. This study focused on a two-tier supply chain as its primary research topic to find strategies to enhance supplier financial viability and improve the efficiency and profitability of the main manufacturing enterprise. In this study, we establish three distinct hypotheses corresponding to the three models involving supplier and manufacturer participation, encompassing parameters such as production batch size, pricing, and supply chain profit. First, it examined financing decisions through the lens of core enterprise-led platform finance. Second, it applied the Stackelberg game theory to investigate financing decisions in three distinct modes: traditional finance, platform internal finance, and external platform finance. Suppliers, manufacturers, and banks can be seen as participants in a Stackelberg game. In this game, suppliers act as leaders, making production and procurement decisions first, while manufacturers and banks act as followers, adjusting their behavior based on the suppliers’ decisions. Finally, it performed a comparative analysis of decisions and supply chain efficiency across these modes. When the risk regulation cost coefficient falls below a certain threshold, suppliers are willing to set up their own PSCF and there is an optimal level of risk regulation effort within the interval (0, 1). We compare platform finance with traditional finance and find that the traditional finance model maximizes profits for suppliers, while the external financing model maximizes profits for manufacturers and the overall supply chain profit. Findings provide insights for platforms, suppliers, manufacturers, and banks to implement optimal financing and channel structures to increase their profits and promote the sustainable development of the financial supply chain. In addition, future research on blockchain platform models would be highly meaningful.
Does Parking Type Preference Behavior Differ According to Whether It Is Paid or Free? A Case Study in Istanbul, Türkiye
Authors: Sarısoy Gürcan , Tezcan Hüseyin Onur
Published: August 2024

Parking behavior depends on drivers’ choice of parking type and willingness to pay for parking. Generally, the parking type refers to off-street and on-street parking facilities. The main factors affecting the preference for parking types are driver, vehicle, travel, and parking characteristics. Understanding drivers’ parking type preference behavior and accurately modeling drivers’ tendencies helps develop sustainable parking management policies. This study examines the parking preferences of drivers in Istanbul with binary logit models according to whether they pay for parking. The results of the models show that the number of factors influencing parking type preference is higher for free parking than for paid parking, including driver, vehicle, travel, and parking characteristics. Moreover, some factors in the models affect drivers’ parking type preferences differently for paid and free parking. Namely, low-income individuals tend to use on-street parking when parking is free and off-street parking when it is paid. Conversely, individuals who drive small-size vehicles prefer off-street parking for free parking and on-street parking for paid parking. Individuals who prefer off-street parking for free parking expect shorter walking distances to the final destination and parking duration. On the contrary, individuals who choose on-street parking for paid parking anticipate shorter walking distances to the final destination and parking duration.
Investigation of Novel Transition Metal Loaded Hydrochar Catalyst Synthesized from Waste Biomass (Rice Husk) and Its Application in Biodiesel Production Using Waste Cooking Oil (WCO)
Authors: Khan Laraib Aamir , Liaquat Rabia , Aman Mohammed , Kanan Mohammad , Saleem Muhammad , khoja Asif Hussain , Bahadar Ali , Khan Waqar Ul Habib
Published: August 2024

The decarbonization of transportation plays a crucial role in mitigating climate change, and biodiesel has emerged as a promising solution due to its renewable and eco-friendly nature. However, in order to maintain the momentum of the “green trend” and ensure energy security, an ecologically friendly pathway is important to produce efficient biodiesel. In this work, activated carbon (AC) obtained from rice husk (RH) is hydrothermally prepared and modified through cobalt transition metal for catalyst support for the transesterification process. The physicochemical characteristics of the synthesized catalysts are examined using XRD, FTIR, SEM and EDS, TGA, and BET, while the produced biodiesel is also characterized using Gas Chromatography and Mass Spectroscopy (GC-MS). To optimize the transesterification process, Fatty Acid Methyl Esters (FAME) are produced by the conversion of waste cooking oil. Response Surface Methodology (RSM) is used to validate temperature (75 °C), the methanol-to-oil molar ratio (1:9), catalyst weight percentage (2 wt.%), and retention time (52.5 min). The highest conversion rate of waste cooking oil (WCO) to biodiesel was recorded at 96.3% and tested as per American Society for Testing and Materials (ASTM) standards. Based on the results, it is clear that cobalt-loaded rice husk-based green catalyst (RHAC-Co) enhanced catalytic activity and yield for biodiesel production. Further research should focus on engine performance evaluation and scaling up of the catalyst by optimizing it for the industrial scale.
Innovative Approaches in Hotel Management: Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to Enhance Operational Efficiency and Sustainability
Authors: Gajić Tamara , Petrović Marko D. , Pešić Ana Milanović , Conić Momčilo , Gligorijević Nemanja
Published: August 2024

The integration of artificial intelligence (AI) and the internet of things (IoT) is bringing revolutionary changes to the hospitality industry, enabling the advancement of sustainable practices. This research, conducted using a quantitative methodology through surveys of hotel managers in the Republic of Serbia, examines the perceived contribution of AI and IoT technologies to operational efficiency and business sustainability. Data analysis using structural equation modeling (SEM) has determined that AI and IoT significantly improve operational efficiency, which positively impacts sustainable practices. The results indicate that the integration of these technologies not only optimizes resource management but also contributes to achieving global sustainability goals, including reducing the carbon footprint and preserving the environment. This study provides empirical evidence of the synergistic effects of AI and IoT on hotel sustainability, offering practical recommendations for managers and proposing an innovative framework for enhancing sustainability. It also highlights the need for future research to focus on the long-term impacts of these technologies and address challenges related to data privacy and implementation costs.
Sustainable Human Resource Management and Employees’ Performance: The Impact of National Culture
Authors: Peretz Hilla
Published: August 2024

In an era of rapid globalization and increased environmental consciousness, organizations must align their business practices with sustainable development goals. The main objective of this study is to explore the impact of sustainable human resource management (SHRM) on employees’ performance, focusing on the mediating role of employee engagement and the moderating effect of national culture. To do so, data were collected from 1950 individuals across 26 countries. The results of a multilevel analysis show that SHRM positively affects performance, with employee engagement acting as a mediator. Furthermore, the effectiveness of SHRM practices is moderated by cultural tightness–looseness, indicating that SHRM practices are more effective in flexible and adaptive cultural environments. This study contributes to the literature by integrating institutional theory and the JD-R model, demonstrating that SHRM enhances performance through increased employee engagement and that cultural context significantly influences this relationship. The findings emphasize the need for a culturally sensitive approach to SHRM, suggesting that organizations should tailor their sustainable practices to align with the cultural norms of their operational environments. This research provides valuable theoretical insights into the mechanisms through which SHRM impacts performance and practical implications for HR professionals seeking to implement effective and sustainable HR practices globally.
Behavioral Intention to Purchase Sustainable Food: Generation Z’s Perspective
Authors: Jakubowska Dominika , Dąbrowska Aneta Zofia , Pachołek Bogdan , Sady Sylwia
Published: August 2024

Sustainable food consumption is critical for addressing global environmental challenges and promoting health and ethical practices. Understanding what drives sustainable food choices among younger generations, particularly Generation Z, is essential for developing effective strategies to encourage sustainable consumption patterns. Using the Theory of Planned Behavior as the theoretical framework, this study aims to explore how the variables of the theory (personal attitude, subjective norms, and perceived behavioral control), along with consumer knowledge, trust, and health concerns, affect Generation Z’s intentions to buy sustainable food. The research was carried out in Poland via the online interview method (CAWI), with 438 users ranging between the ages 18 and 27. The results show that attitudes and knowledge are significant predictors of sustainable food consumption among Generation Z, while subjective norms, perceived behavioral control, health consciousness, and trust do not significantly affect purchase intentions. This research underscores the importance of educational campaigns and marketing strategies that enhance consumer knowledge and shape positive attitudes towards sustainable food. These insights offer valuable implications for policymakers, marketers, and educators aiming to encourage sustainable practices. Understanding the drivers of Generation Z’s sustainable food consumption behaviors can provide valuable insights for developing effective strategies to promote sustainable consumption patterns. This study adds to the body of knowledge on sustainable food consumption by highlighting the specific factors that drive Generation Z’s purchasing intentions.
The Impact of Environmental Public Opinion Pressure on Green Innovation in Construction Enterprises: The Mediating Role of Green Corporate Image and the Regulatory Effect of Market Competition
Authors: Wang Huaming , Huang Xing , Wang Bo
Published: August 2024

Due to growing public concern over environmental preservation and the growing development of Internet information communication platforms, media coverage of corporate environmental issues can exert certain environmental public opinion pressure (EPOP) on enterprises and influence their behaviors. However, the current study of EPOP on the influence mechanism of corporate green innovation (CGI) has not yet formed a systematic and comprehensive theoretical analysis framework. Therefore, based on legitimacy theory and stakeholder theory, this paper explores the impact mechanism and role boundary between EPOP and CGI based on the data from 328 valid questionnaires of construction enterprises of the Chengdu–Chongqing Dual City Economic Circle using hierarchical regression analysis. The findings of the research indicate that EPOP can affect construction company green innovations positively, green corporate image (GCI) plays a partial mediating effect in the relationship between EPOP on CGI; market competition (MC) negatively moderates the relationship between EPOP and CGI, in addition, MC negatively regulates the intermediary effect of GCI in the relationship between EPOP and CGI. The findings of the study serve as theoretical support and decision-making reference to promote Chinese construction enterprise’s transition to green innovation and improve environmental governance level.
Analysis of the Characteristics and Driving Mechanisms of Carbon Emission Decoupling in the Hu-Bao-O-Yu City Cluster under the “Double Carbon” Target
Authors: Zhou Mengting , Yang Jingran , Ning Xuanwei , Wu Chengliang , Zhang Yang
Published: August 2024

The Hu-Bao-O-Yu urban area is a major source of carbon emissions in China. It is also a major source of energy exports and high-end chemicals in China. Reaching peak carbon emissions early is especially important for meeting the national peak goal. For urban areas that rely on natural resources, we need to make it clearer how carbon emissions and economic growth affect each other and slowly break the strong link between the two. Therefore, in this paper, based on the data on carbon emissions, the decoupling state and the driving mechanism of carbon emissions in the Hu-Bao-O-Yu City group are researched by using the Tapio decoupling model and GDIM method. A new decoupling index model is constructed by combining GDIM and the traditional decoupling model. The main findings are as follows: (1) The Hu-Bao-O-Yu urban agglomeration, Ordos City, Baotou City and Yulin City have significant growth trends in annual carbon emissions, with Yulin City being the most important carbon source for the Hu-Bao-O-Yu urban agglomeration and its economic contribution to carbon emissions of the whole urban agglomeration is the most efficient. (2) The decoupling of Hu-Bao-O-Yu, Huhhot City, Baotou City, and Ordos City is dominated by expansionary negative decoupling, whereas Yulin City has strong negative decoupling. (3) The Hu-Bao-O-Yu urban cluster mainly affects the carbon intensity of fixed asset investments and output carbon intensity, which is a key part of the carbon separation process. The energy scale and structure also play a part in this process over time. (4) Changes in GDP per capita are a bigger part of changes in carbon emissions in the Hu-Bao-O-Yu urban agglomeration. These changes also determine the direction for changes in carbon emissions in the Hu-Bao-O-Yu urban agglomeration. In the future, the Hu-Bao-O-Yu urban agglomeration needs to coordinate its economic growth. Ordos and Yulin need to speed up the optimisation and transformation of their energy structures. Baotou needs to push for the low-carbon transformation of its industries. Huhhot needs to do more research on carbon sequestration technology and spend more on environmental protection. This will make the Hu-Bao-O-Yu urban agglomeration a resource-saving urban agglomeration and improve its ability to reduce emissions.
Spatiotemporal Changes in Air Pollution within the Studied Road Segment
Authors: Jaroń Agata , Borucka Anna
Published: August 2024

Environmental protection is a pivotal element of sustainable development, both essential and indispensable in the construction of smart, green cities. Road transport contributes significantly to atmospheric pollution, accounting for as much as 25% of annual emissions within the European Union (EU). To combat the adverse effects of road transport, the EU has set targets to reduce greenhouse gas emissions from both passenger and commercial vehicles. Consequently, sustainable air pollution management has become a focal point for numerous researchers. This study continues the investigation into the distribution of air pollutants along a specific highway segment in Poland. The article addresses two primary research questions: first, the temporal and spatial variations in air pollution adjacent to a major highway in Poland, and second, whether emission levels exhibit significant annual differences and if there is a correlation between pollutant concentrations and the distance from the roadway. The findings offer valuable data on one of the principal substances polluting the air along EU transportation routes. Moreover, the analysis provides recommendations for future road infrastructure renovation projects and strategies to protect the public from harmful traffic-related pollutants, thereby supporting the development of green cities in accordance with sustainable development principles.