bluuebunny/crossref_metadata_2025 huggingface dataset:
Are Higher-Educated Employees More Responsible? A Study about Employee Quality and Corporate Environmental Sustainability
Authors: Fang Fang , Li Kun
Published: May 2024

This paper explores how employee quality affects companies’ actions in terms of environmental protection and sustainable development. We use the proportions of the workforce with three education levels as proxies for employee quality and examine their respective impacts on three dimensions of corporate environmental sustainability: (1) reporting, (2) quality and standardization, and (3) attention and initiative. We investigate over 1300 firms listed in Chinese stock markets from 2006, the year when Chinese firms first released environmental issues and the Chinese regulatory divisions first announced a guideline, to 2021. The results indicate the following: (a) employee quality is positively associated with the reporting of corporate environmental sustainability, (b) companies with more educated employees are more likely to provide environmental and sustainable information with high standards and quality, and (c) companies with more educated employees are more likely to release environmental and sustainable information in solo reports as a reflection of the corporate attention on and initiative in environmental sustainability. Moreover, we find that employees at higher education levels have a stronger impact on corporate environmental sustainability. This paper contributes to the literature on human capital and environmental management.
Determination of Ship Collision Avoidance Timing Using Machine Learning Method
Authors: Zhou Yu , Du Weijie , Liu Jiao , Li Haoqing , Grifoll Manel , Song Weijun , Zheng Pengjun
Published: May 2024

The accurate timing for collision avoidance actions is crucial for preventing maritime collisions. Traditional methods often rely on collision risk assessments, using quantitative indicators like the Distance to the Closest Point of Approach (DCPA) and the Time to the Closest Point of Approach (TCPA). Ship Officers on Watch (OOWs) are required to execute avoidance maneuvers once these indicators reach or exceed preset safety thresholds. However, the effectiveness of these indicators is limited by uncertainties in the maritime environment and the human behaviors of OOWs. To address these limitations, this study introduces a machine learning method to learn collision avoidance behavior from empirical data of ship collision avoidance, particularly in cross-encounter situations. The research utilizes Automatic Identification System (AIS) data from the open waters around Ningbo Zhoushan Port. After data preprocessing and applying spatio-temporal constraints, this study identifies ship trajectory pairs in crossing scenarios and calculates their relative motion parameters. The Douglas–Peucker algorithm is used to identify the timing of ship collision avoidance actions and a collision avoidance decision dataset is constructed. The Random Forest algorithm was then used to analyze the factors affecting the timing of collision avoidance, and six key factors were identified: the distance, relative speed, relative bearing, DCPA, TCPA, and the ratio of the lengths of the giving-way and stand-on ships. These factors serve as inputs for the XGBoost algorithm model, which is enhanced with Particle Swarm Optimization (PSO), and thus constructing a ship collision avoidance decision model. In addition, considering the inherent errors in any model and the dynamic nature of the ship collision avoidance process, an action time window for collision avoidance is introduced, which provides a more flexible time range for ships to make timely collision avoidance responses based on actual conditions and the specific encounter environment. This model provides OOWs with accurate timing for taking collision avoidance decisions. Case studies have validated the practicality and effectiveness of this model, offering new theoretical foundations and practical guidance for maritime collision avoidance.
Exploring Energy Poverty among Off-Grid Households in the Upper Blinkwater Community, South Africa
Authors: Lesala Mahali Elizabeth , Shambira Ngwarai , Makaka Golden , Mukumba Patrick
Published: May 2024

This paper explores energy poverty and its distribution among households in the Upper Blinkwater community, a typical remote South African community. Its selection was based on being the first identified to benefit from the pilot project implementing a decentralized hybrid mini-grid. We utilize the Foster–Greer–Thorbecke technique, which identifies households below the energy poverty line, measures the depth, and identifies those most vulnerable to energy poverty. A total of 53 households were interviewed by means of a questionnaire. The findings indicate a reliance on diverse energy sources such as wood for heating and LPG for cooking, which has enhanced community resilience and control over energy consumption, with greater proportions not affected by energy poverty. However, about 38% still experience energy poverty. The findings show that energy poverty is unevenly distributed within the community. Older individuals tend to have greater energy security, likely due to the stability provided by social grants. In contrast, female-headed households and lower-income families face the most significant challenges. The study concludes that there are substantial gender disparities and that lower-income households are particularly vulnerable to energy poverty. Therefore, we recommend gender-sensitive interventions to reduce the financial burdens on these vulnerable households, thereby improving their energy security.
Evaluating an Innovative ICT System for Monitoring Small-Scale Forest Operations: Preliminary Tests in Mediterranean Oak Coppices
Authors: Picchio Rodolfo , Venanzi Rachele , Bonaudo Aurora , Travisani Lorenzo , Civitarese Vincenzo , Latterini Francesco
Published: May 2024

The application of modern technologies to increase the overall sustainability of forest operations is known as precision forest harvesting. Precision forest harvesting can be a very powerful tool; however, it requires modern forest machinery, which is expensive. Given that most of the forest operators in the Mediterranean area are small-scale businesses, they do not have the resources to purchase costly equipment; thus, the application of precision forest harvesting is affected. Bearing this in mind, in this study, we aimed to test the accuracy of the GNSS receiver on which an innovative Information and Communication Technology (ICT) system developed to monitor small-scale forest operations is based. We tested the GNSS’s accuracy by comparing the extraction routes recorded during coppicing interventions in two forest sites located in Central Italy with those obtained with a more high-performing GNSS receiver. We also used linear mixed-effects models (LMMs) to investigate the effects on the GNSS positioning error of topographic features, such as the slope, elevation, aspect and Topographic Position Index (TPI). We found that the average positioning error was about 2 m, with a maximum error of about 5 m. The LMMs showed that the investigated topographic features did not significantly affect the positioning error and that the GNSS accuracy was strongly related to the specific study area that we used as a random effect in the model (marginal coefficient of determination was about 0.13 and conditional coefficient of determination grew to about 0.59). As a consequence of the negligible canopy cover after coppicing, the tested GNSS receiver achieved satisfactory results. It could therefore be used as a visualising tool for a pre-planned extraction route network, allowing the operator to follow it on the GNSS receiver screen. However, these results are preliminary and should be further tested in more experimental sites and various operational conditions.
Sustainable Pathways: ESG Disclosure Performance and Optimization in China
Authors: Zhou Xuemei , Nian Sifeng
Published: May 2024

Environmental, Social, and Governance (ESG) disclosures are pivotal in steering listed companies toward a balanced trajectory of economic efficiency and environmental/social accountability. Disclosure of ESG information can enhance consumer confidence, create shareholder value, and promote sustainable corporate development. Based on the ESG information disclosure data of Chinese listed companies, this study investigates and empirically analyzes the frequency, content, and quality of ESG information disclosure by Chinese listed companies using a mixed-methodological research approach combining qualitative and quantitative approaches. The findings indicate a low and unreliable frequency of ESG disclosure among Chinese listed companies, with a predominant focus on descriptive content primarily in the “E” and “G” dimensions, while neglecting information disclosure in the “S” dimension. The results of subgroup analyses show that industry classification and the regional economic development level do not increase the disclosure rate. Although the nature of ownership, industry classification, and the level of regional economic development can contribute to improving the overall quality of disclosure, there are differences in the “E”, “S”, and “G” dimensions. In addition, mandatory disclosure requirements can improve disclosure quality, but some differences in the “G” dimension are not significant. The findings provide empirical support for improving the ESG disclosure performance of Chinese listed companies to achieve the “dual-carbon” goal.
Glass Fibre-Reinforced Composite Materials Used in the Aeronautical Transport Sector: A Critical Circular Economy Point of View
Authors: Săftoiu George-Valentin , Constantin Carolina , Nicoară Adrian-Ionuț , Pelin George , Ficai Denisa , Ficai Anton
Published: May 2024

Progress in composite materials has led to their use in applications where improved mechanical and resistance characteristics are required. Most composites are obtained in such a way that they present specific mechanical properties and/or have the role of both a thermal conductor and insulator; these properties are important, specific, specialized, and useful. The advantages of these materials compared to the classic ones are as follows: low weight, high resistance to wear and corrosion, and mechanical characteristics consistent with the subsequent use of the product. The slightly high costs of these materials are justified by their precision, the quality of the products obtained, and the fact that their use leads to increased reliability, maintenance, and, in the cases of the automotive and aeronautical industries, reduced energy consumption. This paper aims to bring to readers’ attention the latest research related to glass fibre-reinforced composite materials in transport-related applications, such as automotive and aeronautic applications, including the manufacturing of unmanned aerial vehicles (UAVs). Considering the long period of use, the recycling and reuse of composite materials used in aeronautical transport is a must considering the environmental aspects and the need of achieving a circular economy. In recent years, considerable efforts have been made to find new alternatives to improve the performance and durability of materials in the aeronautical transport sector.
Evaluation of Calcarenite Degradation by X-ray Photoelectron Spectroscopy Analysis inside the Rupestrian Church of San Pietro Barisano (Matera, Southern Italy)
Authors: Cardellicchio Francesco , Acquavia Maria Assunta , Curcio Mariangela , Salvi Anna Maria
Published: May 2024

We report on the XPS analysis of degraded surfaces inside San Pietro Barisano, the rupestrian church carved into the calcarenite rock of ancient Matera, which has been a UNESCO World Heritage Site since 1993. As reported in previous works, the “Sassi” district and the park of rupestrian churches were available as open laboratories for the National Smart Cities SCN_00520 research project dedicated to the sustainable recovery of this remarkable architectural heritage. In that context, XPS functionality was shown to reside in the possibility of analyzing surfaces by feasible sampling, acquiring spectra without any preliminary sample treatment, and processing data using a well-established curve fitting procedure. The obtained results allowed us to identify the degradation products of the investigated surfaces, thus contributing to defining a diagnostic framework for subsequent actions. Accordingly, the samples here considered, collected from the internal wall surfaces of the church, were all analyzed in comparison with the reference calcarenite, and the XPS results were evaluated as a function of local environmental factors and the historical context of the church itself. The final aim was to provide, for each sample, the most representative indicator(s) of biotic and/or abiotic degradation for reliable use, in a multidisciplinary context, in planning care interventions for building heritage.
Level of Awareness and Attitudes towards Plastic Contamination by Students of an Italian University
Authors: Righi Sara , Bergami Elisa , Simonini Roberto , Prevedelli Daniela
Published: May 2024

Although micro- and nanoplastics (MNPs) represent one of the main environmental emergencies worldwide, citizens are not always aware of their active role in contributing to such contamination. In this study, the perception, level of knowledge, and behaviours towards MNPs were assessed in young citizens in Modena (Italy), represented by science-oriented Bachelor’s students (n = 220) enrolled at the university, through the administration of a voluntary-based questionnaire. No differences in knowledge and in students’ attitudes were observed according to gender and the undergraduate program. Students seem to be aware of MNPs’ global distribution and effects on ecosystems but were less advised about MNP types and their potential effects on human health. A positive correlation between the students’ level of concern and their knowledge or their behaviour was found. Differently, no correlation between students’ knowledge and behaviour towards plastic and MNP contamination was observed. Thus, having a good knowledge of the issue does not always translate into effective actions planned to mitigate the problem. As a first step forward, more environmental education programs should be promoted to increase knowledge and awareness in young citizen as well as pro-environmental behaviours to pursue future mitigation strategies.
Environmental Unsustainability in Cartagena Bay (Colombia): A Sentinel-3B OLCI Satellite Data Analysis and Terrestrial Nanoparticle Quantification
Authors: Neckel Alcindo , Taleb Manal F. Abou , Ibrahim Mohamed M. , Moro Leila Dal , Mores Giana , Schmitz Guilherme Peterle , Bodah Brian William , Maculan Laércio Stolfo , Lermen Richard Thomas , Ramos Claudete Gindri , Oliveira Marcos L. S.
Published: May 2024

Human actions that modify terrestrial and aquatic environments contribute to unsustainability, influencing the economy and human health. Urban environments are responsible for the dispersion of pollution and nanoparticles (NPs), which can potentially harm the health of human populations and contaminate the fauna and flora of aquatic ecosystems on a global scale. The objective of this study is to analyze the dissemination of nanoparticles in Cartagena Bay, Colombia, during the strong winds/low runoff season of January 2020 and the weak winds/high runoff season of October 2021. This was accomplished using images from the Sentinel-3B OLCI (Ocean Land Color Instrument) satellite in conjunction with an analytical chemical analysis of sediments collected in the study area in a laboratory with advanced electron microscopy. It was possible to obtain, on average, a sample of suspended sediments (SSs) every 1000 m in the areas of Bocagrande, Isla de Tierra Bomba, and Playa Blanca, which were analyzed in the laboratory with X-ray diffraction (XRD) and electron transmission and scanning microscopies. Images obtained in the summer of 2020 and winter of 2021 by the Sentinel 3B OLCI satellite were selected at a distance of 1 km from each other and analyzed for the following variables: chlorophyll (CHL_NN), water turbidity (TSM_NN), and suspended pollution potential (ADG443_NN). In addition to of evaluating georeferenced maps, they were subjected to an analysis within the statistical and K-Means clustering model. The laboratory analysis of SSs showed the presence of potentially toxic NPs, responsible for contamination that may harm the health of the local population and marine ecosystems. The K-Means and satellite image analysis corroborated the laboratory analyses, revealing the source of the pollution and contamination of Cartagena Bay as the estuary located close to its center.
Digital Economy Development, Rural Land Certification, and Rural Industrial Integration
Authors: Yan Mingyi , Cao Xizi
Published: May 2024

Rural industrial integration refers to the process of relying on technological innovation and industrial model innovation to promote the optimal allocation of factors such as land, capital, and labor in rural areas, promote the optimization of a rural industrial structure, rural property rights stability, agricultural and rural development, and ultimately achieve the extension of the agricultural industry chain and improvements in farmers’ income levels. In order to grasp the mechanism of digital economy and rural land certification on rural industrial integration, this paper analyzes the impact of digital economy development and rural land certification on rural industrial integration based on the 2011–2021 panel data of the Yangtze River Economic Belt at the municipal level. Research has shown the following. (1) The early development of the digital economy significantly promoted the integration of rural industries. After overcoming the turning point of the digital economy, the digital economy has a restraining effect on the integration of rural industries; in terms of controlling variables, the education level of rural residents, regional economic development level, per capita disposable income of rural residents, and rural power generation all significantly promote the process of rural industrial integration. (2) Rural land certification has played a positive transmission role by confirming, reviewing, and registering land ownership in accordance with the law, clarifying the ownership of land rights, providing a stable property rights foundation for rural industrial integration, and effectively promoting rural industrial integration. (3) The impact of the digital economy on rural industrial integration has a single threshold effect, and after crossing the threshold value of a rural population, the positive impact of the digital economy on industrial integration is more significant. (4) The development of the digital economy has significantly improved the integration level of rural industries in this region and neighboring areas. The above conclusions have important policy implications for further leveraging the digital economy to promote the integration of rural industries and the modernization of agriculture and rural areas.
Anthropression as a Factor Affecting the Content of Heavy Metals in the Flowers of Sambucus nigra L.—A Medicinal Plant Affecting Human Health
Authors: Figas Anna , Kobierski Mirosław , Siwik-Ziomek Anetta , Tomaszewska-Sowa Magdalena , Gruszka Zofia
Published: May 2024

The harvesting of herbs from urban and peri-urban areas requires systematic monitoring of soils and plants, especially of trace element concentrations. The aim of the study was to assess the phytoaccumulation of selected trace elements (Zn, Cu, Fe, and Mn) in elderberry flowers from the Kuyavian-Pomeranian province (Poland). The enzymatic activity of soils was also assessed in the context of the impact of metals on the biological properties of soils at risk of contamination with trace elements. Soil and plant samples were taken from seven locations with different anthropopressures. Flowers from sites with a high frequency of road traffic were characterized by a greater number of elements (location 1, 3–7) than from areas away from busy roads (location 2). The correlation analysis showed that Cu and Zn contents were highly correlated in the flowers of elderberry as compared to the corresponding soils seven locations with different anthropopressures Regarding the Zn content, only flowers from habitats 1, 2, 7 met the conditions specified in the WHO standard for herbs used in herbal medicine (<50 mg·kg−1). Based on the conducted research, it was found that the level of soil enzymatic activity in the tested soils varied within wide limits but clearly depended on their location. The highest enzyme activity in the soil was found in soil from town center 1 (location 3), where high DHA dehydrogenase DHA (114.5 mg TPF·g−1·24 h−1), fluorescein diacetate hydrolysis FDA (51.26 μg F·g−1·h−1), and β-glucosidases GLUC activity (4.833 μg pNP·g−1·h−1) were determined, as well as in soil from residential area 2 (location 3), where high DHA (165.9 mg TPF·g−1·24 h−1) and FDA (48.23 μg F·g−1·h−1) activity were determined. Analyzing the soil properties, it can be concluded that the content of Cut and Znt in the soil and their forms available for plants, as well as DHA activity, correlates most closely with the content of organic matter.
Green Marketing and the Path to Realizing Local Sustainable Development—Joint Dynamic Analysis of Data Envelopment Analysis (DEA) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) Based on China’s Provincial Panel Data
Authors: Li Wen , Zhang Jiaxin , Zhu Hanyu , Hao Ting , Mei Lei , Su Yi
Published: May 2024

Understanding the mechanisms by which the combination of green marketing components fosters local sustainable development is crucial for global regions in achieving the United Nations’ sustainable development goals. Utilizing panel data from China’s provinces from 2011 to 2022, this study employs the DEA model to assess both the static and dynamic efficiencies of sustainable development across China’s 31 provinces. Subsequently, drawing on the 6P theory of marketing element combination, this study selects human input, capital input, energy input, technological output, economic output, and ecological output as causal variables, with the local sustainable development index serving as the outcome variable. By integrating the fsQCA method, the study identifies four distinct configurations: a “single input–multiple output” model, a “multiple input–single output” model, an “input–output” linkage model, and an “input-driven” model. This conclusion can enhance the comprehension of the dynamics through which various combinations of green marketing components contribute to local sustainable development from a regional macroeconomic perspective, offering a theoretical foundation for achieving sustainable development globally.
Optimizing Quality of Life of Vulnerable Students: The Impact of Physical Fitness, Self-Esteem, and Academic Performance: A Case Study of Saudi Arabia Universities
Authors: Zayed Mohamed A. , Moustafa Mohamed A. , Elrayah Musaddag , Elshaer Ibrahim A.
Published: May 2024

This study aims to fill in a gap by examining how physical activities (PAs), feeling good about oneself physically, and academic performance (ACD_PRF) all work together to influence the overall quality of life (QoL) for vulnerable students. We examined data from 400 vulnerable students studying in various universities and major specializations. We employed the Partial Least Squares–Structural Equation Modeling (PLS-SEM) data-analysis technique to test the validity and reliability of the outer model and to test the hypotheses used in the inner model. The research findings indicate that physical activities and physical self-esteem (PHS) can directly and indirectly improve vulnerable students’ QoL. However, among vulnerable students, ACD_PRF can only strengthen their QoL indirectly through improving their PHS. These findings help us to understand how physical activities, feeling good about one’s body, and ACD_PRF all contribute to these students having a better overall QoL. This knowledge can help us to develop better ways to support vulnerable students and to improve their well-being in all aspects of their lives, bodies, and ACD_PRF, which contributes to these students having a better overall QoL. This knowledge can help us to develop better ways to support students with disabilities (SwDs) and to improve their well-being in all aspects of their lives.
Early Identification and Characteristics of Potential Landslides in Xiaojiang Basin, Yunnan Province, China Using Interferometric Synthetic Aperture Radar Technology
Authors: Zhang Xiaolun , Gan Shu , Yuan Xiping , Zong Huilin , Wu Xuequn , Shao Yanyan
Published: May 2024

The Xiaojiang Basin ranks among the global regions with the highest density of geological hazards. Landslides, avalanches, and debris flows represent significant threats to the safety of residents and their properties, impeding sustainable development. This study utilized three InSAR techniques to monitor surface deformations in the basin, using the standard deviation of these measurements as a stability threshold to identify potential landslides. A systematic analysis of landslide development characteristics was then conducted. Key findings include the following: (1) The annual average deformation velocity in the basin from 2018 to 2021 ranged from −25.36 to 24.40 mm/year, identifying 212 potential landslides. (2) Deformation analysis of a typical landslide in Caizishan showed consistent detection of significant surface changes by all three InSAR methods. Seasonal deformation linked to summer rainfall exacerbates the movement in elevated landslides. (3) Landslides predominantly occur in fragile geological formations such as sandstone, mudstone, and kamacite on slopes of 20° to 40°. These landslides, typically covering less than 0.1 km2, are mostly found on barren and grassland terrains adjacent to lower debris gullies, with a relative elevation difference of under 300 m and an aspect range of 90° to 270°. A high kernel density value of 0.3 or higher was noted, with 86.8% influenced by regional tectonic activities, including fault zones. The results demonstrate that natural environmental factors primarily drive landslides in the Xiaojiang Basin, which pose significant threats to the safety of nearby residents. This study’s insights and outcomes provide valuable references for safeguarding local populations, disaster prevention, and promoting regional sustainable development.
Enhancing Understanding through Data Visualization: What Can Available Data Reveal about Access to Energy in Displacement Contexts on the African Continent?
Authors: Britton Tim Ronan , Baslik Philipp , Schmid Lena Anna , Heinz Boris
Published: May 2024

The extent of access to energy of displaced persons in settlements and camps on the African continent is largely unknown. A multitude of contextual factors, such as the location, the characteristics of housing, legal status, socio-cultural background, and the availability of humanitarian and public services, impact the living conditions and needed energy services. Limitations in accessing energy services have direct, multilayered, and far-reaching implications, including impacts on health, nutrition, education, protection, and livelihood. The objective of this article is to contribute to a more comprehensive overview of the current state of energy access in displacement contexts on the African continent by identifying and utilizing existing data. After screening the vast and various available information, setting up a database, consolidating the gathered data as well as assessing quality through a quality assessment method, the currently available information was visualized and discussed. Considerable differences in the access to energy for displaced persons across the countries were found. Access to both electricity and clean cooking ranged from nearly no access at all up to an access rate of 100%, though the averages are 94% of displaced persons without access to electricity and 81% of displaced persons without clean cooking. Overall, the results showed that besides South Africa and countries in the Maghreb region, the access to both clean cooking and electricity for displaced persons is very low. At the same time, the fragmented data availability, the poor data quality, and the inadequate expediency of available data allowed neither solid theoretical conclusions nor the planning of effective practical implementation measures. Novel interdisciplinary research, conceptual frameworks, and indicators are needed for the purpose of comparability and consistency. Future research has the potential to more comprehensively capture the current state of access to energy in displacement contexts and, subsequently, examine how energy is interwoven in the lives of displaced persons to derive a set of more detailed context-sensitive energy indicators. It is essential that displaced persons themselves are included in the research in a meaningful way.
A Spotlight on Environmental Sustainability in View of the European Green Deal
Authors: Stefanis Christos , Stavropoulos Agathangelos , Stavropoulou Elisavet , Tsigalou Christina , Constantinidis Theodoros C. , Bezirtzoglou Eugenia
Published: May 2024

This bibliometric study investigates the scientific landscape of environmental sustainability within the European Green Deal (EGD) framework. Utilizing data from the Scopus and Science Direct databases, the study aims to map research trends and frontiers, providing a comprehensive overview of the evolving discourse on sustainability. The EGD’s ambitious goal to render the European Union climate-neutral by 2050 is highlighted, showcasing its significant impact across multiple sectors. The study reveals the integration of new methods and broadening research scopes by employing modern bibliometric techniques. Key thematic focuses include the transition to a circular economy and the emphasis on sustainable resource management, underpinning the EGD’s comprehensive approach to combining economic growth with environmental protection. The analysis unveils the critical role of technological innovation and policy reforms in advancing toward a sustainable, competitive, and climate-neutral economy. The research demonstrates the pivotal role of empirical studies in guiding policy formulation and implementation, showing how targeted measures in resource and energy productivity, combined with a decisive shift towards renewable energy, are integral to fostering a sustainable, competitive, and climate-neutral economy. This convergence of findings reinforces the argument that a multifaceted approach, encompassing policy, technology, and innovation, is essential for navigating the challenges of environmental sustainability and climate change, aligning closely with the overarching aims of the EGD.
The Identification of Soil Heavy Metal Sources and Environmental Risks in Industrial City Peri-Urban Areas: A Case Study from a Typical Peri-Urban Area in Western Laizhou, Shandong, China
Authors: Cao Binhua , Sun Zhongyu , Bai Dapeng , Kong Linghao , Zhang Xuzhen , Chen Jingwen , Chen Di
Published: May 2024

During the past several decades, soil heavy metal contamination has emerged as an environmental affliction and subject of study. Soil heavy metal contamination in peri-urban areas is more severe and intricate. The western region of Laizhou City, as a typical industrial city exhibiting vigorous factory, agricultural, and extraction activities, possesses substantial research merit and can offer a noteworthy example for the analysis of heavy metal contamination in the peri-urban areas of industrial cities. We procured 271 surface soil samples (0–20 cm) from the western peri-urban areas of Laizhou City. Through statistical scrutiny, it was discerned that the concentrations of As, Cd, Hg, and Pb surpassed the local baseline concentrations, with the ranking of the coefficient of variation being Hg > 1 > Cd > 0.5 > Pb > Cu > As > Ni > Zn > Cr. Subsequently, we investigated the potential origins of heavy metals through correlation analysis, principal component analysis, and geostatistical analysis and elucidated the primary origins of heavy metals based on the existing land-use scenario: PC1 (As, Cd, Cu, Pb, and Zn) predominantly originated from agricultural pursuits, transportation, and industrial production; PC2 (Cr and Ni) was correlated with soil parent materials; and PC3 (Hg) was attributed to industrial production and open-pit mining of minerals. According to the analysis of the Nemero comprehensive index and potential ecological risk index, the soil environmental risk in the study area was within a controllable range. However, the continuous enrichment of heavy metals in the soil should receive sufficient attention, and continuous monitoring of the site is recommended. This study attempts to use a combination of existing land-use scenarios and statistical analysis methods to analyze the heavy metal pollution conditions in peri-urban industrial cities. Although this study has shortcomings, it provides valuable information for the study of heavy metal sources and environmental risks in typical industrial city suburbs.
Can Government Environmental Attention Improve Corporate Carbon Emission Reduction Performance?—Evidence from China A-Share Listed Companies with High-Energy-Consumption
Authors: Li Chuanfei , Qi Luguang
Published: May 2024

Government support for achieving corporate carbon emission reduction is crucial not only for sustainable business development, but it also holds strategic importance for China to achieve its “dual-carbon” goals. This article empirically explores the impact and underlying mechanisms of government environmental attention (GEA) on corporate carbon emission reduction performance (CEP), using a sample of A-share listed companies with high energy consumption from 2009 to 2020. The results show that GEA can improve corporate CEP. A heterogeneity analysis found that this effect is more pronounced in heavily polluting industries, small and medium-sized enterprises (SMEs), and companies located in the eastern regions of the country. A mechanism analysis suggested that GEA can improve corporate CEP by strengthening internal green technological innovation capabilities and attracting attention from external analysts and media. These research conclusions guide corporate carbon emission reduction practices and offer empirical evidence for the government in formulating regulatory policies for carbon reduction.
Ecological Legacies and Ethnotourism: Bridging Science and Community in Ecuador’s Amazonia
Authors: Sarmiento Fausto O. , Bush Mark B. , McMichael Crystal N. H. , Chávez C. Renato , Cruz Jhony F. , Rivas-Torres Gonzalo , Kavoori Anandam , Weatherford John , Hunt Carter A.
Published: May 2024

This paper offers paradigmatic insights from an international workshop on Ecological Legacies: Bridge Between Science and Community, in Ecuador, in the summer of 2023. The conference brought together foreign and local scholars, tour operators, village community, and Indigenous leaders in the upper Amazonia region of Ecuador with the goal of developing a vision for a sustainable and regenerative future of the upper Amazon. The conference offered three epistemological contributions to the existing literature in the emergent field of Montology, including addressing issues of (a) understanding the existing linguistic hegemony in describing tropical environments, (b) the redress of mistaken notions on pristine jungle environments, and (c) the inclusion of traditional knowledge and transdisciplinary approaches to understand the junglescape from different perspectives and scientific traditions. Methodologically, the conference bridged the fields of palaeoecological and ethnobotanical knowledge (as part of a wider conversation between science and local communities). Results show that local knowledge should be incorporated into the study of the junglescape and its conservation, with decolonial approaches for tourism, sharing language, methodology, tradition, and dissemination of the forest’s attributes. Our research helped co-create and formulate the “Coca Declaration” calling for a philosophical turn in research, bridging science and ethnotourism in ways that are local, emancipatory, and transdisciplinary. We conclude that facilitating new vocabulary by decolonial heightening of Indigenous perspectives of the junglescape helps to incorporate the notion of different Amazons, including the mountainscape of the Andean–Amazonian flanks. We also conclude that we can no consider Ecuador the country of “pure nature” since we helped demystify pristine nature for foreign tourists and highlighted local views with ancestral practices. Finally, we conclude that ethnotourism is a viable alternative to manage heritagization of the junglescape as a hybrid territory with the ecological legacies of the past and present inhabitants of upper Amazonia.
Application of Flotation for Removing Barium(II) Ions Using Ionized Acyclic Polyethers in the Context of Sustainable Waste Management
Authors: Sobianowska-Turek Agnieszka , Grudniewska Katarzyna , Fornalczyk Agnieszka , Willner Joanna , Bialik Wojciech , Urbańska Weronika , Janda Anna
Published: May 2024

Energy transition is one of the basic actions taken to counteract and prevent climate change. The basic assumption of energy-related changes is its sustainable use according to the closed-loop model, as well as moving away from fossil fuels, in particular from coal, the combustion of which contributes to excessive harmful carbon dioxide emissions. One of the most popular solutions towards green energy is nuclear energy. Its use allows for a significant reduction in greenhouse gas emissions harmful to the environment and climate, but it also involves the generation of radioactive waste that requires appropriate processing. This paper presents the results of the flotation removal of barium(II) ions from a dilute aqueous solution using ionized acyclic polyethers. The basic factors determining the efficiency and kinetics of the process were defined. It has been shown that as the acidity of the attached polyether molecules increases: the flotation rate constant 1 (0.1667 min−1) < 3 (0.2468 min−1) < 2 (0.3616 min−1) and the separation degree Ba2+: 1 (86.8%) < 3 (99.3%) < 2 (99.4%). The presented results of ion flotation tests may facilitate the collective or selective separation of radioactive isotopes, i.e., Cs-137, Sr-90, Ba-133 and Co-60, from radioactive wastewater in the future. The results of the experimental work described in the article can also be used to develop individual processes for separating mixtures of radioactive isotopes (radioactive wastewater) into individual components (isotopes) and subjecting them to subsequent transformation processes. The obtained results allow us to claim that the tested organic compounds can be used in the future in the selective treatment of hazardous wastewater, which will translate into a reduction in unit costs of industrial processes. The selective recovery of individual pollutants is the basis for the next step in waste management, i.e., designing a cheap method of waste disposal, which also directly affects the economics of the process and its use in industrial conditions.
Exploring Sustainable Planning Strategies for Carbon Emission Reduction in Beijing’s Transportation Sector: A Multi-Scenario Carbon Peak Analysis Using the Extended STIRPAT Model
Authors: Yang Yuhao , Dong Ruixi , Ren Xiaoyan , Fu Mengze
Published: May 2024

The transportation sector plays a pivotal role in China’s efforts to achieve CO2 reduction targets. As the capital of China, Beijing has the responsibility to lead the era’s demand for low-carbon development and provide replicable and scalable low-carbon transportation development experience and knowledge for other cities in China. This study calculates the CO2 emissions of the transportation sector in Beijing from 1999 to 2019, constructs an extended STIRPAT model (population, affluence, technology, and efficiency), employs ridge regression to mitigate the effects of multicollinearity among the eight indicators, reveals the extent and direction of influence exerted by different indicators on CO2 emissions, and predicts the development trends, peak times, and quantities of transportation CO2 emissions in nine scenarios for Beijing from 2021 to 2035. Finally, adaptive low-carbon planning strategies are proposed for Beijing pertaining to population size and structure, industrial layout optimization, urban functional reorganization and adjustment, transportation infrastructure allocation, technological research and promotion, energy transition planning, and regional collaborative development. The results are as follows: (1) The total amount of CO2 emissions from Beijing’s transportation sector exhibits a trend of gradually stabilizing in terms of growth, with a corresponding gradual deceleration in the rate of increase. Kerosene, gasoline, and diesel are the main sources of transportation CO2 emissions in Beijing, with an annual average proportion of 95.78%. (2) The degree of influence of the indicators on transportation CO2 emissions, in descending order, is energy intensity, per capita GDP, population size, GDP by transportation sector, total transportation turnover, public transportation efficiency, possession of private vehicles, and clean energy structure. Among them, the proportion of clean energy structure and public transportation efficiency are negatively correlated with transportation CO2 emissions, while the remaining indicators are positively correlated. (3) In the nine predicted scenarios, all scenarios, except scenario 2 and scenario 4, can achieve CO2 emission peaks by 2030, while scenarios 7 and 9 can reach the peak as early as 2025. (4) The significant advancement and application of green carbon reduction technologies have profound implications, as they can effectively offset the impacts of population, economy, and efficiency indicators under extensive development. Effective population control, sustainable economic development, and transportation efficiency improvement are viable means to help achieve carbon peaking and peak value in the transportation sector.
A Review of Eco-Product Value Realization and Eco-Industry with Enlightenment toward Village Ecosystem Service in the Karst Desertification Control
Authors: Zhao Ziyi , Xiong Kangning , Ying Bin , Zhao Rong , Yan Jiawang , Huang Huiqiong
Published: May 2024

In the context of achieving certain results in rural revitalization and karst desertification control, promoting the realization of eco-product value to promote the rural revitalization strategy has become a hot topic in China. The importance of eco-product value has been raised to an unprecedented level, confirming that the realization of eco-product value is an important way to promote rural revitalization and ecological civilization construction in desertification areas. This study reviewed 489 relevant documents on the realization of eco-product value and conducted a statistical analysis. The analysis results show that (1) the number of published related documents is generally on the rise, indicating that after the policy was proposed, research in this field has received high attention from the academic community; (2) the research content mainly focuses on five aspects: eco-product value accounting, eco-product value realization, eco-industry, and theoretical attributes of eco-products; (3) the research area is concentrated in the demonstration pilot areas of China’s eco-product value realization; and (4) combined with the above results, this paper summarizes the concept and connotation of eco-products, the value accounting of ecological products, the mechanism and path of the value realization of eco-products, the ecological industry, the landmark achievements of home and abroad, and the scientific problems to be solved, so as to better serve the karst area and promote the revitalization of rural areas.
Fostering Directions for Digital Technology Adoption in Sustainable and Circular Fashion: Toward the Circular Fashion-Tech Lab
Authors: Casciani Daria , D’Itria Erminia
Published: May 2024

The fashion sector, recognized for its resource-intensive methods, is currently encountering pressing sustainability issues due to its substantial dependence on natural resources, extensive utilization of chemicals, and exploitation of labor within its supply chain, thus giving rise to notable environmental and ethical apprehensions. In the Industry 4.0 era, which emphasizes the integration of new production technologies to enhance working conditions, productivity, and production facility quality, the fashion sector has discovered opportunities to tackle sustainability challenges by adopting technology for transitioning to circular, greener, and digital systems with reduced environmental impact. Despite promising prospects, the opportunities provided by this paradigm are yet to be fully realized. In this context, design is crucial in enhancing digitally driven production processes for fashion companies within this framework. To explore this, the study suggests an iterative approach to recognizing challenges and opportunities, concentrating on the current alignment with technological advancements. A design-focused strategy aims to devise a comprehensive approach to fashion sustainability and circular economy (CE) principles within the Industry 4.0 framework. The aim is to establish an innovative laboratory model that aids fashion companies in effectively managing the sustainable and digital transition. The study offers insights into potential research opportunities to accelerate the Industry 4.0 transformation in the fashion sector. It envisages a more positive, sustainable, and responsible future by establishing a Circular Fashion-Tech Lab, integrating innovative technologies for sustainable and circular practices in the fashion industry.