Sustainability

Achieving Sustainable Development Goal 7 (SDG 7) and SDG 13 together requires a holistic and integrated approach to simultaneously address the challenges of clean energy and climate action. In order to find integrated policy strategies, this study offers a comparative analysis using the case of China and the world regarding energy access, energy intensity, clean cooking, renewable energy, global warming gases, and investment in energy by the private sector to advance SDGs 7 and 13, applying a principal component regression (PCR) and forecasting models for the period 1990 to 2021. Overall, these findings indicate that China is making significant progress towards meeting the goals of the Paris Agreement. This progress is evident in the notable variations observed in key variables such as access to clean cooking solutions, private sector investments in energy, renewable energy generation, and enhanced energy efficiency. In contrast, the global landscape exhibits only minimal fluctuations in these aspects within its framework. The PCR proves that all the components are significant regarding China, whereas, for the world, seven components are significant out of eight. Furthermore, the global temperature projection indicates that the world is nearing the 1-degree Celsius threshold, with the current temperature standing at 0.558 degrees Celsius. This suggests that the goal of limiting global warming to 1.5 degrees Celsius by 2030 remains attainable. Notably, China’s projected average temperature for 2030 is 7.2 degrees Celsius, marking a 12% decrease from the 2021 temperature level. This trajectory aligns with China’s commitment to achieving the 1.5-degree Celsius target by 2030. This study makes a valuable contribution to the field of energy transition, offering insights into the path to maintaining global warming at 1.5 degrees Celsius as stipulated by the Paris Agreement by 2030. Full article

Since the ecological protection and high-quality development of the Yellow River basin in China have become a major national strategy, reducing carbon emissions has become pivotal. Therefore, based on the relevant data of 53 cities from 2008 to 2021 in seven urban agglomerations in the Yellow River basin, this paper explores the overall situation and spatio-temporal evolution of environmental governance and carbon emissions in the urban agglomerations in the Yellow River basin using the entropy method, ArcGIS, slacks-based measurement models (SBM models), etc. Additionally, this paper quantitatively analyzes the pathways by which environmental governance affects carbon emissions in the urban agglomerations in the Yellow River basin. The results show that carbon emissions increased year on year from 2008 to 2021, the growth rate slowed down gradually and exhibited a downward trend, and the largest amount of carbon was emitted in 2019, at 3495 million tons. Before 2017, the growth rate of carbon emissions showed a trend of increasing year by year, with the largest increase rate being 11.17% in 2010. After that, the growth rate of carbon emissions continued to decrease and entered a stage of fluctuation. The growth rate of carbon emissions in 2020 was the lowest, reaching −5.66%. The environmental governance effect of urban agglomerations in the Yellow River basin exhibits a large gap; the regional difference is obvious, and the overall trend is rising. Environmental governance has a significant negative effect on carbon emissions in urban agglomerations in the Yellow River basin. The cross-terms of environmental governance, the energy consumption structure, industrial structure upgrading, green technological innovation, and foreign direct investment (FDI) have significant negative impacts on carbon emissions, while the indirect impacts on urban agglomerations have shown regional heterogeneity. The goal of reducing carbon emissions in urban agglomerations in the Yellow River basin is being realized gradually. Based on research conclusions, policy suggestions are put forward, hoping to provide ideas for environmental protection and high-quality development of urban agglomerations in the Yellow River basin. Full article

In recent years, the order evaluation method of a coupled system based on synergetics has been successfully applied in the field of water resources evaluation and management. The evaluation of system order degree needs to comprehensively consider the simple giant system entropy of multiple order parameters. At this stage, the calculation of simple giant system entropy ignores the time series characteristics of order parameters, which makes the evaluation results of system order degree deviate from the actual changes of the system. Therefore, considering the time factor in the entropy calculation of a simple giant system, this paper proposes a synergetic order evaluation method considering the characteristics of time series. Then, taking Jiangxi Province as the research object, an example of a comprehensive evaluation of the order degree of the water resources coupling system is carried out. The relevant experimental results show that: The evaluation results of the synergetic order degree method considering the characteristics of time series presented in this paper are closer to the actual evolution situation of the system than the evaluation results without considering the characteristics of the time series, and maintaining high consistency with the actual evolution situation; the order degree of the water resources subsystem is greatly affected by the changes of water resources; and the entropy change of the water resources coupling system in Jiangxi Province is greatly affected by the entropy change of the water resources subsystem. The research result enhances the universality of the application of the synergetic order evaluation method in the related fields of a comprehensive evaluation of water resources systems and has a certain practical significance. Full article

Road traffic accidents present substantial global challenges, encompassing a wide range of consequences that have implications for the economy, public health, the environment, and society. The present study is focused on the phenomenon of rapid urbanization in Abha and Bisha, two cities located in the Kingdom of Saudi Arabia. These cities have witnessed a substantial growth in urbanization, with a notable increase of 225% over a span of 40 years. The expansion of urban areas has given rise to significant concerns regarding the density of the road infrastructure, which has been further exacerbated by an increase in the volume of vehicles. Consequently, this has led to a notable escalation in traffic-related issues and accidents. Analysis reveals that traffic accidents are concentrated in specific areas, with hotspots primarily located in the western regions of Abha and Bisha, while cold spots are concentrated in the northern areas. Furthermore, a strong positive correlation (r = 0.93) is observed between the number of traffic accidents and road type, with over half of the accidents occurring on highways. Notably, the highways in Abha and Bisha predominantly follow a direction from southwest to northeast at a 71.1° angle. In conclusion, this research offers significant findings regarding the prevalence and determinants of traffic accidents in Abha and Bisha, emphasizing the need for effective traffic management strategies to enhance road safety and mitigate the associated risks. Full article

According to field observation and theoretical analysis, the failure of the 1523103 reserved roadway is mainly affected by the lateral support pressure, rock mass strength, and support mode. With the mining of the 152309 working face, the lateral pressure of coal pillars on both sides of the reserved roadway increases, and since the lithology of the two sides and the floor of the roadway is weak, the reserved roadway experiences spalling and floor heave. Through numerical simulation, the distribution law of surrounding rock stress and the displacement of surrounding rock are obtained after the roof cutting and pressure relief of the reserved roadway with hard roof. According to the cause of surrounding rock failure of a reserved roadway, the combined control technology of roof cutting and pressure relief, grouting anchor cable support, and bolt support is put forward. After cutting the roof and releasing the pressure on the working face, the lateral support pressure of the two sides of the roadway is significantly reduced, the deformation of the two sides of the roadway is small, the maximum shrinkage rate of the section is reduced from 70% to 11%, and the deformation of the surrounding rock of the 1523103 reserved roadway is effectively controlled. The successful control of the surrounding rock in the 1523103 tunnel reduces the number of coal pillars to be installed, improves the coal extraction rate, and is conducive to the sustainable utilization of limited natural resources and the sustainable development of the coal industry. Full article

Municipal solid waste incineration fly ash (MSWI FA) consists predominantly of compounds comprising elements such as calcium, aluminum, silicon, sodium, and others. Additionally, it encompasses a complex mixture of heavy metals, chlorides, sulfates, organic pollutants, and other constituents. The effective and economically viable treatment of MSWI FA poses a formidable challenge for resource cycling at the current stage. In this research report, we adopt a novel low-temperature sintering method called the “Cold Sintering Process” (CSP) as a means to immobilize heavy metals within the fly ash. By utilizing a Taguchi orthogonal array method, we will adjust five control factors in the CSP, including sintering temperature, uniaxial pressure, sintering time, initial water addition, and sodium carbonate dosage. The leaching of cadmium from the fly ash, as measured by the Toxicity Characteristic Leaching Procedure (TCLP), will serve as the quality indicator of products. Through the application of CSP, MSWI FA was transformed into structurally stable ceramic blocks, and the heavy metals within the blocks were effectively immobilized. The results of the experiments showed that MSWI FA under the conditions of a temperature of 300 °C, uniaxial pressure of 312 MPa, sintering time in 60 min, 25 wt% water addition, and 9 wt% Na₂CO₃ addition could effectively reduce the leaching of cadmium by 77.71%, lead by 21.14%, zinc by 42.37%, and chromium by 99.99%, as compared to the original MSWI FA TCLP results. The X-ray Diffraction (XRD) results indicate that during the CSP, fly ash forms phases such as calcium silicate, rankinite, hydrogrossular, anorthite, and marilite. These phase transformations are considered beneficial for preventing the leaching of internal heavy metals. Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy (SEM-EDS) results reveal that CSP is advantageous for compacting the overall structure, and EDS results further demonstrate that some of the Pb and Zn are carried out from the interior of the blocks, with uneven distribution on the surface of fly ash particles. The aforementioned experimental results serve as preliminary indications of CSP’s capability to stabilize detrimental components within high-purity fly ash. Future research endeavors may entail the refinement of material proportions, modification of experimental parameters, and other methodologies, thus facilitating potential scalability to industrial applications. Such developments align with the overarching goal of resource utilization. Full article

The genus Cinchona belongs to the Rubiaceae family and comprises native Peruvian tree species distributed in tropical areas. It is currently endangered due to human disturbance and overexploitation for medicinal, forestry and food uses. To date, the current and future distribution of Cinchona spp. under the climate change scenario is unknown. Here, we modeled the present and future spatial distribution of the genus Cinchona using bioclimatic, edaphic and topographic variables using the maximum entropy algorithm (MaxEnt). The results indicate that 8.08% (103,547.89 km²) and 6.02% (77,163.81 km²) of the surface of Peru possesses areas with high and moderate distribution probabilities, respectively, to host the genus Cinchona, distributed mainly in the departments of Cusco, Amazonas, San Martín and Cajamarca. Furthermore, according to future climate scenarios, the areas of high suitability will increase their extension for the years 2050 and 2070 by 3.65% and 3.9%, respectively. Since Peru seeks to promote the forest sector to be the other force for its development, this study can be considered as a basis for the establishment of priority zones for the conservation, restoration, reforestation and sustainable management of Cinchona spp. species in Peru. Full article

Evolutionary changes in shallow lake shorelines can significantly impact wetland biodiversity transformation. This paper aims to further elucidate the wetland evolution process by investigating the temporal and spatial characteristics and rules governing lake shoreline evolution. Departing from traditional analyses of wetland area and shoreline length changes, this paper presents a comprehensive approach to quantifying typical lake shoreline evolution patterns using the concept of object increments. These evolutionary patterns are classified into four types: “expansion”, “shrinkage”, “appearance”, and “disappearance”. Using Shengjin Lake as a case study, Landsat images from 2001 to 2020 were used to extract the lake shoreline. The temporal series characteristics of different evolution patterns, the laws at the patch scale, and the characteristics of evolution direction were analyzed. The key findings are as follows. (1) The evolution of Shengjin Lake’s shoreline from 2001 to 2020 was primarily characterized by “expansion” or “shrinkage” patterns with a clear negative correlation between them. The “appearance” and “disappearance” of lake shorelines were rare. (2) The evolutionary patterns of “expansion” or “shrinkage” mainly occurred in smaller patches with a large number, while the “appearance” and “disappearance” of lake shorelines occurred mostly in larger patches with a small number, and there were no occurrences in certain years. (3) The “expansion” evolutionary pattern was more dominant in the northeast and east-by-northeast regions, while the “shrinkage” evolutionary pattern varied across the southwest and west-by-southwest regions. In conclusion, the analysis of shoreline evolution’s temporal and spatial characteristics, based on spatiotemporal object increments, can quantitatively elucidate the lake wetland evolution process and offers a novel perspective for future research on lake wetlands. Full article

Food systems are responsible for a large share of anthropogenic impacts. In recent debates, the need to strengthen the link between science and policy has emerged with the proposal to establish a new global science–policy interface for a sustainable food system. While the clash between those who consider necessary and those who do not consider necessary the creation of this panel increases, this paper takes inspiration from this debate to highlight how strengthening the interactions between science and policy should be supported by increasing the informativeness of current sustainability assessments, regardless of the need for such a panel. In particular, we delve into this emerging topic by focusing on some critical aspects of the current sustainability assessments of food systems, which include the need for more comprehensive assessments, based on the joint use of multiple indicators. While sustainability assessments of food systems have been historically focusing on just one–two externalities at a time, the introduction of new multi-faceted indicators make it now possible to look at multiple externalities concurrently and at the trade-offs among them. Dietary contextualization becomes essential too, to avoid the provision of misleading information. An operative framework to improve sustainability assessments of food systems is presented here and discussed with the aim of promoting more informative approaches, which are crucial for transforming scientific knowledge into mitigation policies. Full article

In recent years, ESG (Environmental, Social, and Governance) has become a critical indicator for evaluating sustainable companies. However, the actual logic used for ESG score calculation remains exclusive to rating agencies. Therefore, with the advancement of AI, using machine learning to establish a reliable ESG score prediction model is a topic worth exploring. This study aims to build ESG score prediction models for the non-financial industry in Taiwan using random forest (RF), Extreme Learning Machines (ELM), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost) and investigates whether the COVID-19 pandemic has affected the accuracy of these models. The dependent variable is the Taiwan ESG Sustainable Development Index, while the independent variables are 27 financial metrics and corporate governance indicators with three parts: pre-pandemic, pandemic, and the entire period (2018–2021). RMSE, MAE, MAPE, and r² are conducted to evaluate these models. The results demonstrate the four supervised models perform well during all three periods. ELM, XGBoost, and SVM exhibit excellent performance, while RF demonstrates good accuracy but relatively lower than the others. XGBoost’s r² shows inconsistency with RMSE, MAPE, and MAE. This study concludes the predictive performance of RF and XGBoost is inferior to that of other models. Full article

Communities and businesses continue to experience the effects of climate change as global temperatures rise and extreme weather events become more frequent. In the United States (US), the public sector has traditionally been responsible for mitigating these risks; however, engaging the private sector is crucial, given industrial impacts on and vulnerability to climate change. Private-sector mitigation and adaptation efforts are critical in the Great Lakes Region due to aging infrastructure as well as its economic, environmental, and political importance in the US and Canada. This study explores private-sector resilience efforts in three Great Lakes cities to identify opportunities and trends that could inform climate resilience strategies in the region. Climate-related commitments and actions of nine major firms in Toronto, Chicago, and Cleveland are evaluated in relation to seven climate resilience criteria on a five-level maturity scale from January to May 2022. The results indicate a moderate level of maturity, with efforts mainly at facility and community levels of engagement. Overall, this study suggests that major firms participate in climate resilience efforts, but to a limited extent, and may have varying priorities that affect the initiatives they pursue. This study could contribute to advancing climate resilience efforts in the public and private sectors from regional to global levels. Full article

As urbanization continues to advance globally, the issue of “urban ailments” has become increasingly prominent. To promptly identify problems arising from urban development, it is crucial to investigate not only the quality of human habitats at the city and regional scales but also the micro-level living environments. Indeed, studying residential living conditions enables the specific problems within urban planning to be unearthed, facilitating timely adjustments for the improvement of urban habitation. However, a precise and objective methodology for accurately measuring the quality of residential living environments is still lacking. In recent years, the urban renewal concept has proven to be proactive in enhancing the living environment quality of residential areas. In this study, we focus on residential areas within Hangzhou’s Binjiang District, China, and integrate diverse datasets including real estate websites, digital mapping platforms, remote sensing imagery, points of interest (POIs), and land-use planning data. By examining and analyzing the urban renewal concept, we establish a comprehensive set of evaluation indicators for the living environment quality in residential areas, including five aspects: residential and environmental factors; transportation and communication; education and culture; lifestyle and leisure; and healthcare and well-being. Subsequently, a holistic assessment of the Binjiang District is conducted. Our research findings demonstrate that in the context of urban renewal, the proposed living environment quality evaluation method, based on multi-source data, exhibits significantly higher practicality and effectiveness. The residential environment in Binjiang District exhibits a spatial pattern with higher quality in the northern regions and lower quality in the southern regions. Across different dimensional layers, the residential and environmental quality shows a higher trend along the river areas and a lower trend in the internal areas, as well as higher quality in newly developed sections compared to older ones. The transportation and communication quality exhibits a decreasing trend radiating from multiple core areas. In other dimensions, there is a concentration of high-quality residential areas in the administrative vicinity and surrounding Binjiang University Town. Hotspot analysis further substantiates a significant spatial correlation between the quality of the living environment and the degree of agglomeration, highlighting a positive relationship between the two factors. This study provides a solid basis for the spatial planning of urban public service facilities and holds significant research and practical value. Full article

Fish products are widely consumed in different European countries for their nutritional composition, such as their high protein content, omega-3 fatty acids, minerals, vitamins, and low carbohydrate content. Therefore, fishing provides important income and commercial opportunities in different Mediterranean coastal countries. As the increased consumption of fish products is leading to negative ecological impacts on marine flora and fauna, sustainability labels are increasingly emerging. Furthermore, to increase transparency in the fisheries sector and increase consumer confidence when purchasing, fish traceability is becoming increasingly important. Therefore, this study aimed to analyze the importance of fish traceability and the knowledge of some fish sustainability labels in two European coastal countries, Italy and Spain. The investigation was carried out through an online questionnaire filled out by 1913 consumers in Italy and Spain. The main results show that receiving traceability information was mainly important for the Italian population, while, although fish sustainability is increasingly important, respondents did not demonstrate that they frequently buy fish products with sustainability labels. The study also highlighted how the main characteristics of the respondents may influence their habits and perceptions regarding the issues. Full article

In China, job satisfaction has become a significant concern. Previous research has mainly focused on the impact of working conditions and personal characteristics on job satisfaction, neglecting the influence of commuting. This study utilized the ordered logistic (Ologit) regression model and demonstrated that commuting time negatively affects job satisfaction. Through additional analysis, it was found that increasing the duration of nap time can enhance employees’ job satisfaction. Additionally, providing a monthly commuting allowance of more than CNY 40.00, along with increased nap time, can help alleviate the negative impact of commuting on job satisfaction. Moreover, a heterogeneity analysis was conducted to explore the potential variations in this impact by gender, marital status, the employer’s nature, and region. The outcomes indicated that gender does not significantly affect job satisfaction in relation to commuting. However, individuals who are married or cohabiting, those employed in the private sector, and those residing in the northeast or central regions of China experience a negative impact on job satisfaction due to commuting. Finally, we propose relevant suggestions to improve employees’ job satisfaction and enhance their work efficiency in order to achieve the sustainable development of the company. Full article

Mexico has committed to protecting 30% of its marine territory by 2030 to comply with Target 3 of the Kunming–Montreal Global Biodiversity Framework, adopted during the 15th Conference of the Parties to the Convention on Biological Diversity. In this paper, we demonstrate the feasibility of meeting this commitment by determining the marine extent of conservation measures based on legally established Marine Protected Areas and areas that meet the criteria to be considered as Other Effective area-based Conservation Measures (OECMs) and determining the marine extent of areas proposed in various conservation planning exercises that can be created as any of the area-based instruments that exist in Mexico. The total coverage of existing and proposed areas was calculated by merging the dataset to remove duplicates and dissolving the boundaries between polygons to determine the total area. Spatial analysis was carried out in ArcGIS using geoprocessing tools. Currently, more than 25% of Mexico’s marine area is legally protected or conserved, with federal marine protected areas covering more than 22% of the Exclusive Economic Zone. The legally established areas that can be considered OECMs cover about 3% of the marine territory. We found that more than 9% of Mexico’s Economic Exclusive Zone contains areas of high conservation importance that are not covered by any area-based instrument. This study shows that Mexico has the potential to protect or conserve 32.8% of its marine territory by 2030. Full article

Increasingly, agroforestry is being promoted to smallholders as a method to adapt to and mitigate climate change while addressing socio-economic limitations. Promoting agroforestry practices requires organizations to have competent staff with requisite knowledge, skills, and abilities (KSAs) for their roles. This study examined perceived competency training needs among international workers promoting agroforestry. A Ranked Discrepancy Model (RDM) was used to determine and prioritize the KSA training needs of agroforestry professionals in selected countries in the Global South. This study was conducted with a nonrandom snowball sample of 107 professionals who promote agroforestry to smallholder farmers. As a nonrandom sample, the results represent those who participated, and caution is warranted in generalizing. Agroforestry Extension professionals deemed all items as either average or important, and training gaps existed in all agroforestry KSAs; however, the most notable training gaps were in (a) agribusiness, and (b) pests and disease. The research provides insights into the training needs of agroforestry personnel promoting agroforestry to smallholders in selected areas across the Global South. This study contributes to the theory for both professional development researchers and practitioners with the inclusion of a Ranked Discrepancy Model. Full article

As an emerging model, self-service fitness centers are reshaping the consumer fitness experience globally. Recognizing the pivotal role of customer loyalty in the sustainable operation and management of fitness service enterprises, this study aims to uncover the factors and mechanisms affecting loyalty in these centers. Specifically, it addresses how service quality, convenience, and customer satisfaction influence Word-of-Mouth intentions and repatronage intentions while examining the differences in these relationships under service methods with staff and without staff. Employing PLS-SEM, an empirical analysis of 552 customer questionnaires from four self-service fitness centers in China’s top-tier cities was conducted. The results underscore positive correlations among the constructs in the structural model, emphasizing the significance of enhancing service quality and reducing customer efforts in loyalty management. Notably, service convenience emerged as a crucial driver of service quality. This convenience, mediated by service quality and satisfaction, significantly promotes Word-of-Mouth intentions and repatronage intentions. Additionally, marked differences were observed in these relationships based on the presence or absence of staff. This study investigates customer loyalty in self-service fitness centers for the first time, analyzing the differences in these relationships based on service methods with or without staff offering targeted strategies for fitness centers leveraging self-service technologies. Full article

To accurately identify the land ecological security in the middle and lower reaches of the Yangtze River, we measured the land ecological security based on the PSR model, selected a total of 19 indicators, such as population density, and applied the methods of system evaluation value conversion, comprehensive evaluation value and coordination degree measurement to study the land ecological security in the region. Research findings: The comprehensive evaluation level showed that Jiangxi, Shanghai, and Hunan had comprehensive evaluation values according to the regional forefront. The subsystem evaluation level showed that Shanghai and Hunan had higher pressure subsystem evaluation values relative to other provinces; Shanghai, Zhejiang, and Anhui had higher state subsystem evaluation values relative to other provinces; and Jiangxi was much more responsive to land ecological security issues than were other provinces and cities in the region. The system coordination degree showed that the comprehensive evaluation value of land ecological safety and the coordination degree evaluation value of other provinces except Shanghai and Hunan showed a negative correlation, indicating certain land ecological safety problems in the region. Finally, suggested reflections based on the conclusions are presented. Full article

Valuable trees are frequently taken from their original habitat and introduced to a different location in the pursuit of better economic development. Global climate change imposes a higher probability of warm spells during chilly seasons; these may increase the threat posed by frost to newly introduced, valuable species. In this study, Dalbergia odorifera was cultured as a valuable tree species that was introduced from an original provenance in Sanya (1° N) to the northern mountains in Pingxiang (22° N), Guangzhou (23° N), Zhangpu (24° N), Xianyou (25° N), and up to the northernmost limit in Wenzhou (28° N). Seedlings of these six provenances were tested in a field study conducted in Wenzhou (control) to examine their resistance to local frost stress and to detect the driving forces related to meteorological factors in the winter–spring period of 2015–2016. The leaves sampled over seven days exhibited the typical characteristics of frost impairment. The daily maximum temperature delivered warm spells, increasing by ~7 °C. The daily minimum temperature (−4.3 to −2.0 °C) did not reach freezing point until the early spring of 2016. The controlled seedlings showed lower malondialdehyde content than those from the southern locations, and no mortality occurred. Invisible frost stress was caused by low nitrogen utilization during the earlier stages during warm spells, as well as damage to membrane integrity during the later stage when the minimum temperature suddenly declined. A warm spell was found to impose a negative driving force five days before a sudden chill, which led to frost having an impact on superoxide accumulation and electrical leakage. We conclude that the D. odorifera seedlings that dwell effectively in Wenzhou obtained stronger resistance to local frost stress than those from the southern locations. Low cell membrane integrity and high electrical leakage in leaf cells accounted for the frost damage. Full article