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Combining the travel modes of human activities, fully mining multi-source data, and analyzing the relationship between the urban ecological environment and human activities are important topics in urban ecological environment planning. Human activity indicators were constructed based on the data of POI points, OSM road network, and residential areas. Machine learning models such as support vector regression machine, extreme gradient boosting regression, polynomial regression, and random forest regression were combined with remote sensing images to construct an urban ecological environment indicator system. These models were used to conduct regression analysis of urban ecological environment indicators and human activity indicators in Chengdu, China. The research shows that the three indicators of human activities all show a trend of increasing in the center and gradually decreasing in the surrounding areas, while the sustainable urban ecological environment indicators show the opposite trend. On the relationship between urban ecological environment and human activities, XGB has the best effect; the correlation between the street vitality index and the urban function mixing index and the sustainable urban ecological environment is stronger, and the correlation between the walkability measure index of the residential area and the sustainable urban ecological environment is even worse.

In this study, renewable products with potentially interesting properties and applications were synthesized by functionalizing linseed oil via epoxidation and epoxy ring-opening with carboxylic acids and anhydrides. LDHs (Layered Double Hydroxides), a well-known class of materials used for a wide range of reactions, are the catalysts used in this study, with the overall advantages of facile separation and reusability. In our study, different types of carboxylic acids and anhydrides were employed as reactants with the advantage of leading to sustainable products that can replace petrochemical compounds. Following the optimization of the reaction conditions, including the basicity of the catalyst, at 170 °C a quasi-total conversion of the epoxy groups was achieved for all the ring-opening reagents.

Media discourse surrounding fashion and sustainability tends to be negative, emphasising the problems that exist across the various stages of the lifecycle of a garment. Although consumers are increasingly aware of at least some of the issues surrounding fashion and the environment, research suggests that the scale and complexity of the problem causes them to feel detached and uncertain about how to adapt their own behaviour in response. This research positions Instagram as a digital media platform through which sustainable fashion is communicated and experienced through augmented fashion content. Instagram is recognised for its significant impact on visual culture, particularly within aesthetic sectors such as fashion. Recent research reveals that users have begun engaging in more serious subjects and debates on Instagram, including political, social, and environmental issues. This has brought about opportunities for new voices who are championing sustainable fashion in its variety of manifestations. An open qualitative analysis was carried out using the hashtag #SustainableFashion to uncover themes relating to the types of content, stakeholders, and mechanisms that are being used to augment sustainable fashion on Instagram. The findings reveal a positive community of content creators—including vintage enthusiasts, designers, makers and brands—who are using the hashtag regularly to share proactive content in the form of specific, targeted messages around sustainable fashion solutions. The aim was to uncover the discussions that are taking place right now and provide grounding for future work in this area.

Climate change, the emission of greenhouse gases, and air pollution are some of the most important and challenging environmental issues. One of the main sources of such problems is the field of transportation, which leads to the emission of greenhouse gases. An efficient way to deal with such problems is carrying out sustainable transportation to reduce the amount of air pollution in an efficient way. The evaluation of sustainable vehicles can be considered a multi-criteria decision-making (MCDM) method due to the existence of several criteria. In this paper, we aim to provide an approach based on MCDM methods and the spherical fuzzy set (SFS) concept to evaluate and prioritize sustainable vehicles for a transportation system in Tehran, Iran. Therefore, we have developed a new integrated approach based on the stepwise weight assessment ratio analysis (SWARA) and the measurement of alternatives and ranking according to the compromise solution (MARCOS) methods in SFS to assess the sustainable vehicles based on the criteria identified by experts. The evaluation results show that the main criterion of the environment has a high degree of importance compared to other criteria. Moreover, autonomous vehicles are the best and most sustainable vehicles to reduce greenhouse gas emissions. Finally, by comparing the ranking results with other decision-making methods, it was found that the proposed approach has high validity and efficiency.

The main finding of this paper is presented as a theoretical model of the development of public citizenship in a sustainable environment that has been created for the case of Lithuania. Revealing the relevance of this phenomenon and the level of its research, the authors notice that the studies of other researchers lack a holistic approach and present a clearer systematic assessment, presenting research on public citizenship and modernization in a sustainable environment. Additionally, the interaction between these two components and the corresponding directions was not analyzed at all. By naming the existing scientific problem, the authors of the article aim to fill this conceptual and empirical gap. The stated goal and tasks of the article respond to the scientific problem and the achieved results. The authors studied the variables of public citizenship assessment; performed an analysis of social, economic and environmental aspects and substantiated the interaction between the expression of modernization changes and the formation of civil society, distinguishing the factors promoting and limiting community citizenship. Therefore, the authors emphasize that the new theoretical construct proposed in the presented model will help to fill methodological gaps in the scientific literature and, in making practical decisions, will stimulate scientific debate. First of all, the paper discusses the conceptual issues of the expression of modernization of civil society, highlighting and justifying the interaction of social changes and sustainable environment in economic, social, political, environmental, and cultural aspects, presenting the case of Lithuania (The Case of Lithuania). On the other hand, following the document of the Sustainable Development Strategy of the United Nations, the field of progress and resilience of Lithuanian society in a modern society is discussed, identifying and analyzing various criteria that have been empirically tested. The authors noted that the democratic cube model was used to create a theoretical model of public citizenship development in a harmonious environment, and the HDI model (human development index) was also integrated. The model created by the authors systematically explains the analysis of the relationship between the expression of modernization changes identified in the research and the formation of civil society; second, it substantiates the process of interaction between modernization changes and public citizenship, discussing four fields of expression. Practically, the model will help researchers conceptually analyze and empirically study public citizenship; will help public policymakers and implementers to manage effectively, ensuring quality changes in society and managing new challenges, and it will also contribute to the conceptual formation of the country’s long-term development strategy.

Greenshell mussel (GSM- Perna canaliculus) is the most important aquaculture species in New Zealand and produces one of the most expensive bioactive lipid extracts on the nutraceutical market. There have been numerous studies on the composition of GSM as well as pre-clinical and clinical studies on the efficacy of GSM extracts and foods. With increases in analytical capabilities, lipidomic studies using advanced mass spectral data may provide new insight into the content and activity of the lipidome, the totality of all lipids, of GSM. This study is the first reported characterisation of the GSM lipidome which may disclose important novel information regarding its nutrition, biology, physiology, and epidemiology. This study adds to the traditional lipid analytical outputs with new lipidomic capabilities to interrogate the lipid species differences between tissues rich in oil. We have identified 16 different lipid species in GSM including ceramide aminoethyl phosphonate (CAEP). Many lipid species are differentially expressed between tissues and correlation analysis demonstrates lipid species associated with the digestive gland that may be obtained from food sources, whilst other lipid species are dominant in the mantle or gonad. Linking this new information to the GSM breeding programmes may deliver functional breeding attributes to deliver premium strains for enhanced nutrition and/or extract production.

Sustainable development integrates business, environmental, and social objectives into a unified effort to achieve a common goal. Sustainable customer relationship management (CRM) combines company strategy, customer-focused business processes, and computer technologies. From the consumer’s perspective, it lowers psychological, energy, time, and other costs; from the company’s perspective, it offers a means of engaging with customers to build lasting and reliable relationships. The sustainable CRM program provides advantages to businesses in various industries, particularly online commerce. It alludes to a comprehensive strategy that promotes solid interactions between buyers and sellers of goods and services. Since current customer retention is less costly than new customer attraction in competitive markets, especially online shopping, identifying the factors affecting relationship management with stable customers is essential. This investigation intends to evaluate the effect of the use of management information systems (MIS), as well as insights on employee behavior and knowledge, and customer behavior (satisfaction and loyalty), on the effectiveness of sustainable CRM in online shopping. The model is validated using the PLS–SEM technique, and study sample of 293 employees and managers from private organizations. According to the results, the MIS, employee behavior and knowledge, customer satisfaction, and customer loyalty influence the effectiveness of sustainable CRM in online shopping. Furthermore, employee behavior and knowledge positively moderate the relationship between customer loyalty and the effectiveness of sustainable CRM. However, the moderating role of employee behavior and knowledge on customer satisfaction and the effectiveness of sustainable CRM is not confirmed. Overall, taking these characteristics into account might help organizations to take significant steps toward increasing the efficacy of sustainable CRM.

Realizing the sustainable innovation growth of enterprises is one of the important research directions of management science. Traditional enterprise growth innovation methods cannot effectively estimate the emotional tendency of online public opinion (PO), and they cannot guide the effective growth of enterprises. For this reason, This paper proposes an enterprise growth innovation technology based on the evolutionary game (EG) model of sustainable development and deep learning (DL). Firstly, by obtaining the game payment matrix between network users and enterprises, combined with the deep neural network model, the PO evolution model of the enterprise growth network was constructed and solved. Then, a convolutional neural network (CNN) model was used to extract sequence features from global information, and a gated recurrent unit (GRU) was used to consider the context. A DL network model based on CNN–GRU was proposed. Finally, by introducing the EG model, a stable strategy was generated through the dynamic adjustment of the whole system, which improved the accuracy of online PO judgment. Through simulation experiments, the enterprise growth innovation method proposed in this paper was compared with the other three methods. The results show that the accuracy, precision, recall, and f1 value of this method are 92.21%, 89.33%, 91.86%, and 91.64%, respectively, which are better than the other three methods. This method is of great significance for promoting enterprise innovation technology and sustainable development of enterprises.

As people’s living standards rise, textile waste becomes more significant, and the number of waste textiles grows swiftly, wreaking havoc on the earth’s ecosystem. Simultaneously, the creation of furniture consumes a significant amount of wood. The paint and adhesive used to manufacture it are also unsustainable and harmful to human beings. Therefore, one of the most urgent environmental challenges that needs to be paid attention to at present is the recycling of waste textiles and the sustainable recycling of furniture. Given this situation, this study proposes a solution combining sustainable design with composite material manufacturing. Guided by this solution, this study obtained a waste textile-starch composite material combining waste textiles, starch, and other components using microwave expansion technology. The material is biodegradable, environmentally friendly, and non-polluting. It can be customized to meet different design needs. Then, this research applies the material to sustainable furniture design and obtains a set of design works with sustainable characteristics. This kind of sustainable design scheme can eliminate the pollution and waste of waste textiles. At the same time, waste textile-starch composites can also serve as an economical and environmentally friendly alternative to many synthetic and natural materials used in furniture design and manufacturing. This reform scheme has a tremendous sustainable development promise and can simultaneously handle the problems of waste textile pollution and furniture resources.

Entrepreneurship is an important issue in the economy of a developing nation. However, the development of entrepreneurs in Indonesia is still very low when compared to other countries. Therefore, the purpose of this research is to analyze the determinants of the Sustainable Youth Entrepreneurial Intention for Agricultural start-ups. Analysis was performed using the Structural Equation Model. In addition, an analysis of the main factors of interest for Sustainable Youth Entrepreneurship In Agricultural start-ups uses Smart PLS 3.2.9 on questionnaire data from 738 youth respondents in Indonesia. The results show that attitude, subjective norm, and behavioral control variables have a significant influence on the model of Shapero’s entrepreneurial event (perceived desirability and perceived feasibility) and the sustainable intention of entrepreneurship in agriculture start-ups. Based on the research results, this study can be a reference for practitioners in increasing their sustainable entrepreneurial intention by applying the significance activation method to increase academic behavior and interest. In addition, the government can socialize more projects and training programs or entrepreneurship programs to increase the interest of the younger generation in relation to agricultural start-ups as part of the strategy.

In recent years, green, low carbon and sustainable development has become a common topic of concern. Aiming at solving the drawback of low accuracy of PM2.5 concentration prediction, this paper proposes a method based on deep learning to predict PM2.5 concentration. Firstly, we comprehensively consider various meteorological elements such as temperature, relative humidity, precipitation, wind, visibility, etc., and comprehensively analyze the correlation between meteorological elements and PM2.5 concentration. Secondly, the time series data of PM2.5 concentration monitoring stations are used as the reference sequence and comparison sequence in the gray correlation analysis algorithm to construct the spatial weight matrix, and the spatial relationship of the original data is extracted by using the spatial weight matrix. Finally, we combine the forgetting and input threshold to synthesize the updated threshold, merge the unit state and the hidden state, and use the Gate Recurrent Unit (GRU) as the core network structure of the recurrent neural network. Compared with the traditional LSTM model, the GRU model is simpler. In terms of convergence time and required epoch, GRU is better than the traditional LSTM model. On the basis of ensuring the accuracy of the model, the training time of the model is further reduced. The experimental results show that the root mean square error and the average absolute error of this method can reach 18.32 ug⋅m−3 and 13.54 ug⋅m−3 in the range of 0–80 h, respectively. Therefore, this method can better characterize the time series characteristics of air pollutant changes, so as to make a more accurate prediction of PM2.5 concentration.

The importance of sustainable human resource practices is increasing yearly. During COVID-19, many benefits and compensation strategies became increasingly important for employees. Working environments are described as one of the main factors that affects people’s lives while they are at work. This empirical study explores the impact of sustainable total reward strategies on sustainable talented employee performance, satisfaction, and motivation in the education field, using a quantitative research method. Data were collected from an annual survey developed by the Organization for Economic Co-operation and Development (OECD). The participants of this survey were residents of 47 different countries and economies, and a total of 153,682 teachers participated. The annual survey’s main goal is to generate reliable, valid, and comparable population estimates based on sample data. Data were analyzed using Pearson’s correlation and SPSS version 24. The findings of this research show a positive correlation between total sustainable rewards and sustainable employee performance (B = 0.079, p < 0.01), satisfaction (B = 0.370, p < 0.01), and motivation (B = 0.427, p < 0.01). These results might have social and economic implications, especially in the educational sector.

Public procurement has been recognized as a tool to promote more sustainable production and consumption practices. As such, an increasing body of literature has become available in recent years focusing on the sustainable public procurement of food. This article reviews the literature on the sustainable public procurement of food with the aim to analyze how sustainability is framed. This is done by analyzing what aspects of sustainability are emphasized and what practices are identified as sustainable. A systematic literature review was conducted between the years 2000 and 2020, identifying 103 articles. Results from the literature review indicate that the focus has primarily been on studies to evaluate and explore policy and good practices for procuring sustainable foods. A dominant focus on specific foods types and origins, e.g., those locally sourced and organic foods, is highlighted by a large share of the literature to address all three sustainability pillars. We observed that most articles focus on all three pillars of sustainability (environmental, social, and economic), addressing different aspects and types of foods, although the focus varied depending upon geographic location. Despite many studies identifying opportunities and potential, few articles assess the sustainability or outcomes of procurement processes through quantitative or qualitative methods or how actors in the procurement process can improve procurement toward more sustainable foods. This indicates a need for further case studies and guidelines to measure the development, progress, and performance of public food procurement.

This study examines the relationships between sustainability technologies, auditor transition, and circular economy models. Circular economy (CE) has been visited in recent studies as a matter of necessity to procure answers to pressing issues that befalls our society, aimed at the survival of the human species. While doing so, there has been little emphasis placed on sustainable technologies that will usher auditors into the new era. Data were constructed from a symposium organized by the Institute of Internal Auditors (IIA), where scholars and practitioners addressed the future of auditing technology, regarding, in particular, the International Social and Environmental Accreditation and Labeling (ISEAL) database official website and also interviews with experts dealing day to day with sustainability and circular economy. Discourse analysis assisted in working with these groups of data. Our findings identified 12 different relational types in our analysis, thus signaling upward trends in the preparedness of auditors in boosting sustainable technologies towards a circular economy environment. Additionally, our findings demonstrate the significant uptake of innovative tools implemented for new-generation technologies in order to enhance auditing. The findings of this study have implications for academia and practice which are aimed at technological preparedness for the transition of auditing towards CE. Finally, this paper contributes by summarizing the debate and speculations around the technologies that are driving auditing to CE.

This paper discusses the relationship between green buildings and fire safety from a higher perspective including the traditional fire factors, fire resilience, sustainable building SAFR, social, ecological, and economic fields. There is no need to sacrifice fire safety in the name of sustainability. There is no direct report of fire incidents with green design elements. However, indirectly from the characteristics of residents, green buildings have a high degree of intersection with vulnerable groups, which directly affects the life safety of green building fires. The gray water recycling design of sustainable buildings (green buildings) combined with a simple waterway-connected sprinkler system will be an excellent cooperation example between green (Green Design) and red (Fire Safety). Taiwan’s photovoltaic development plan is expected to reach the 500 MW in 2025, which is equivalent to 2.5% of the government’s promotion target of 20 GW. Whether a PV fire occurs during the day or night, photovoltaic modules will generate lethal electricity, which is a potential hazard to first responders and rescue team.

This study utilizes a recently developed framework for the well-being economy to evaluate the impacts of COVID-19 in the sparsely populated Westfjords region of northwestern Iceland. A total of 42 semi-structured interviews were conducted with a broad spectrum of local community members, nearly all undertaken in October 2021. Local impacts to human and social capital were very evident, whilst economic consequences to individuals and business were largely mitigated through national economic packages. The remoteness of the Westfjords and pre-existing challenges, such as exposure to nature disasters, a harsh climate, and limited infrastructure, provided a bedrock of resilience with which to tackle the pandemic. This underpinned the sustainability of the communities, and flexible approaches to work and education constrained some of the worst potential effects of social distancing and isolation. Nevertheless, some socio-demographic groups remained harder hit than others, including the elderly in nursing homes and non-Icelandic speaking foreigners, who were marginalized via isolation and lack of information provision in the early, most severe outbreaks of COVID-19. The study demonstrated the coping mechanisms and solutions that were adopted to sustain subjective and community well-being, whilst reinforcing the importance of utilizing local community strengths in tackling the many challenges induced by a pandemic crisis.

The 4G network is not sufficient for achieving the high data requirements of smart city users. The 5G network intends to meet these requirements and overcome other application issues, such as fast data transmission, video buffering, and coverage issues, providing excellent mobile data services to smart city users. To allocate a channel or spectrum to a smart city user for error-free transmission with low latency, the accurate information of the spectrum should be detected. In this study, we determined the range of non-cooperative detection techniques, such as matched filter detection with inverse covariance approach (MFDI), cyclostationary feature detection with inverse covariance approach (CFDI), and hybrid filter detection with inverse covariance approach (HFDI); based on the results of these methods, we provided highly accurate spectrum information for smart city users, enabling sustainable development. To evaluate the performance of the proposed detection techniques, the following parameters are used: probability of detection (PD), probability of false alarms (Pfa), probability of miss detection (Pmd), sensing time, and throughput. The simulation results revealed that the HFDI detection method provided sustainable results at low signal-to-noise ratio ranges and improved channel detection and throughput of approximately 17% and 10%, respectively.

Although we have evolved digitally and technologically in the 21st century, disparities still exist in society. The research problem cited for the study is the need to assess the impact of the digital divide in the formation of digital capital, where the already stratified society based on variables such as age, gender, education, and region (rural–urban) will act as moderators to mitigate the digital inequalities for a sustainable world. The research objectives are to explore the underpinning reasons for the digital divide in reinforcing social inequalities, quantify the impact of the digital divide on digital capital statistically, and to evaluate the moderating effect of social strata variables comparatively. The idea of digital capital culminates into five hypotheses for this study as the digital divide impacts digital capital, as well as the assessment of moderating effects of age, education, and region. Statistical tools, specifically frequency, percentage, reliability, ANOVA, correlation, and regression, have been used to test the hypothesis and proposed conceptual model. The social strata dimension in the study revealed a higher variance of opinion. Digital capital is taken as the dependent variable and the digital divide is the independent variable, which shows Beta as 0.591 and B as 0.585, indicating a good relationship of 59.1% and an effect of 58.5%. Finally, the research reveals that there exists a digital divide and, hence, digital inequalities in India need to be addressed for attaining various Sustainable Development Goals. The study has significant implications for the leaders and policymakers to work towards inclusivity by bridging the digital divide and eliminating digital inequalities in India.

Household waste is the most significant contributor to the accumulation of waste in the final processing area. Indonesia produces 65.2 million waste per year. Improper waste management practices in Indonesia require evaluation steps to achieve sustainable waste management. This study aims to formulate an evaluation instrument for the implementation of household waste management using the analysis of the Household Waste Control Index (HWCI) calculation. This study uses quantitative methods by collecting data from a survey of 548 waste bank members spread across 12 districts in Bekasi City and using the analysis of the calculation of the Household Waste Control Index. Based on the study results, it is known that the implementation of household waste management in Bekasi City is in the moderate category (5.86 out of 10), and the governance of household waste management at the community level still needs to be improved. Furthermore, based on the validation results, it is concluded that the household waste control index can be recommended as an instrument to measure, evaluate, and consider recommendations for waste management policies to realize sustainable household waste management in Bekasi City and other areas that have similar conditions to Bekasi City.

Laundry balls are promoted as a sustainable washing option because they do not contain chemical elements, unlike laundry detergent, which causes water pollution. However, little research exists to showcase the impact of laundry balls on microfiber pollution during home laundering. Using a cradle-to-cradle framework, this study aimed to investigate the effect of laundry balls on microfiber shedding during the home laundering process of synthetic clothing with different washing cycles. A factorial experimental design, consisting of 4 (washing options) × 3 (washing cycles) × 2 (repetitions) was used for this study. The ANOVA test was applied using SAS software. The findings revealed that different laundry balls including a ceramic laundry ball, lint remover laundry ball, and scrubbing laundry ball, did not reduce microfiber shedding of synthetic clothing. In fact, the use of the ceramic laundry ball accelerated microfiber shedding. It also presented the effects of different washing cycles on microfiber shedding of synthetic clothing. The study findings point towards the need to educate consumers about choosing the right washing options to minimize microfiber shedding. The findings also have implications for the industry and researchers to develop more sustainable washing options to reduce negative environmental effects by controlling microfiber pollution in home laundering.

Sustainable consumption requires that people, companies, and nations promote correct use of their resources in the interest of environmental protection and ecosystem integrity. Given the relevance of this subject, the main objective of the present study was to provide an overview of the literature on sustainable consumption, going beyond knowledge related to consumer behavior, and addressing questions connected with the role of companies and public policies in the promotion of sustainable consumption. To achieve that, a systematic literature review was carried out by selecting 114 articles published over the past ten years, from Web of Science categories with an environmental focus. The study allowed for showing the state of the art of the subject, as well as suggestions for future studies based on gaps in the literature. It was found that there is a concentration of studies oriented toward surveying and understanding consumer behavior at the expense of those focused on examining companies and their relationship with sustainability and consumption.

Based on current manual restoration methods, a better algorithm for restoring images based on sample blocks is proposed, along with a sustainable restoration technique for digital virtualization, with the aim of preserving and restoring the priceless art of ancient architectural motifs. The paper uses curve fitting to pre-process the restored photos by re-constructing their damaged borders and filling in the structural information that is absent with the aid of an enhancement of the Criminisi method. The repaired photos have improved edges that were previously blurry, fractured, and over-extended. In order to increase the dependability of the priority calculation when restoring photos and make it possible to acquire a more precise restoration order, we rewrote the priority calculation formula for restoration blocks in the Criminisi algorithm. The purpose was to enhance the aesthetics of the photographs and provide a viable and sustainable restoration technique for the restoration of ancient architectural motifs in Fujian. The Criminisi algorithm with deep learning is used in the thesis to fully restore the content, color, and texture of the architectural photographs, bringing the murals as close to their original state as is practical. In order to improve the blurry, broken, and over-extended edges of the restored images, the broken edges of the images are first repaired through image pre-processing. Then, adjustment factors are added to the priority calculation to increase the weight of the data items, resulting in a more accurate priority order while preventing the priority values from degrading quickly in the later stages of restoration. The PSNR values of the restored images were calculated and compared to those of the Criminisi method, demonstrating that the revised algorithm produces better restoration results and can effectively improve restoration efficiency while lowering restoration costs and ensuring pattern restoration sustainability. By retaining as much of the structural information of the original image as possible in the design of the network model and allocating larger weights to the structural part, this process also uses style migration in deep learning to restore the texture and color of the mural. As a result, the final image is as similar to the original image as possible in terms of content and as similar as possible to the style image in terms of color and texture. A better solution is proposed based on the Criminisi algorithm. By comparing the experimental results of the three sets of building images, the PSNR values of the priority improvement algorithm (30.26, 38.06, 39.56) were significantly better than those of the Criminisi algorithm (27.59, 37.06, 37.59), using the peak signal-to-noise ratio (PSNR) values as a reference standard. In order to determine the appropriate restoration sequence and enhance the quality of picture repair, the broken edges of the pattern are strengthened. The algorithm’s matching criteria can be applied in subsequent work to improve sample-matching accuracy and produce better sustainable restoration results for ancient architectural patterns in Fujian. It no longer requires specialized professional knowledge to reproduce the color of faded architectural photos; instead, a style migration approach is employed to recover the color and texture of architectural images. This study proposes the use of a texture synthesis method and a layered processing method through which the PSNR values of the resulting restored images calculated are superior and significantly higher than those of the sample-based method and the variational framework of synthetic images with regular texture components. We achieved the creation of an updated Criminisi algorithm-based solution that improves the quality of image restoration by fortifying the pattern’s frayed edges and determining the optimum repair order. These two techniques can be combined to improve the sustainability of restoration of faded architectural photographs for issues such as pattern breakage, color loss and fading. To achieve better restoration results for the historic architectural patterns in Fujian, the accuracy of sample matching can be increased, starting with the algorithm’s matching criterion.

Municipal solid waste collection system in Anyama is in a critical state and is compounded by high population density. Household residents need about 30 minutes’ walk to the designated waste collection point. Waste is dumped openly along the roadside, which serves as breeding grounds for chronic diseases, malaria, diarrhea, and acute respiratory disease. Could the perception and attitude of residents change if the distance between their homes and the collection points is reduced? This study evaluated the current waste management system in Anyama. Life Cycle Assessment (LCA) and cost–benefit analysis were conducted on four different waste collection scenarios, to propose an alternative, feasible, and integrated solid waste management system. Results showed that the kerbside recycling scenario has the highest benefit (5.8 billion CFA) compared to its cost (1.9 billion CFA), proving to be more economically sustainable. In environmental terms, the kerbside recycling scenario emitted lower emissions such as global warming potential (GWP 4967 tons) and carbon dioxide (CO2eq 550 tons). The kerbside recycling obviously had the highest potential for recycling and thus is more environmentally sustainable. Therefore, the kerbside scenario is the most suitable and recommended policy that should be adopted and implemented in Anyama. We recommend the introduction of waste banks specifically for recyclable waste and the setting up of more kerbside collection points in order to reduce the distance from households to collection points, thus improving residents’ attitude towards effective waste disposal.

Currently, social media is ubiquitous and essential for social networking and content sharing. It is an effective platform for teaching and learning in higher education and provides a novel way to communicate between instructors and pupils. Thus, the purpose of this study was to present a research framework to examine students’ motivation to adopt an e-learning system with social medial platforms. This cross-sectional study used the questionnaire to collect data from the students in Taiwan. A framework has examined students’ motivation to adopt an e-learning system with social medial platforms based on the modified technology acceptance model (TAM) and technology threat avoidance theory (TTAT). The research framework was evaluated by structural equation modeling (SEM) and represented by Smart-PLS. A total of 262 valid responses were used for statistical analysis. The results recommended modified research model explains 77.0% of the variance of motivation to adopt (R2 = 0.77). The findings also supported perceived usefulness, perceived ease of use, perceived cost, perceived effectiveness, and self-efficacy significantly influenced students’ motivation to use. Results also indicated threat appraisal, perceived susceptibility, and perceived severity are not significant factors for predicting students’ motivation to adopt e-learning in higher education.

Anthropogenic activities influence the loss of mangroves, increase natural phenomena such as hurricanes, tropical storms, and El Niño, and consequently increase concentrations of greenhouse gases such as CO2, promoting climate change. There are strategies to reduce emissions from Deforestation and Forest Degradation, the Sustainable Development Goals, and the General Law on Climate Change to counteract these conditions. Therefore, this research aims to generate an integral simulation model of sustainable mangrove development scenarios for 2030 and 2050 through mitigation strategies, using geospatial techniques, multi-criteria evaluation, and generating a future surface demand model. The Marismas Nacionales study area is a mangrove ecosystem and an important carbon sink. The simulation model determined that the mangrove area in 2030 will be 77,555 hectares, with an estimated absorption of 358.95 Gg CO2 e (equivalent). By 2050 there will be 86,476 ha, absorbing 400.24 Gg CO2 e. This increase will be in disturbed mangrove areas and other wetlands. The sustainable simulation model and the surface demand model can be applied in any study area to increase, protect, and conserve mangroves to benefit the social, economic, and environmental sectors.

To observe the effect of recycled sand and nano-clay on the improvement of the early strength of soil-cement (7d), 0%, 10%, 15% and 20% recycled sand were added. While maintaining a fixed moisture content of 30%, the ratios of each material are specified in terms of soil mass percentage. The shear strength of CSR (recycled sand blended soil-cement) was investigated by direct shear test and four groups of specimens (CSR-1, CSR-2, CSR-3 and CSR-4) were obtained. In addition, 8% nano-clay was added to four CSR groups to obtain the four groups of CSRN-1, CSRN-2, CSRN-3 and CSRN-4 (soil-cement mixed with recycled sand and nano-clay), which were also subjected to direct shear tests. A detailed analysis of the modification mechanism of soil-cement by recycled sand and nano-clay was carried out in combination with scanning electron microscopy (SEM) and IPP (ImagePro-Plus) software. The test results showed that: (1) CSR-3 has the highest shear strength due to the “concrete-like” effect of the incorporation of recycled sand. With the addition of 8% nano-clay, the overall shear strength of the cement was improved, with CSRN-2 having the best shear strength, thanks to the filling effect of the nano-clay and its high volcanic ash content. (2) When recycled sand and nano-clay were added to soil-cement, the improvement in shear strength was manifested in a more reasonable macroscopic internal structure distribution of soil-cement. (3) SEM test results showed that the shear strength was negatively correlated with the void ratio of its microstructure. The smaller the void ratio, the greater the shear strength. This shows that the use of reclaimed sand can improve the sustainable development of the environment, and at the same time, the new material of nano-clay has potential application value.

To improve food system sustainability, it is critical to reduce food loss and waste (FLW) and shift away from high-meat diets. We conducted a qualitative content analysis of 238 newspaper articles (2018–2020) to compare media framing and stakeholder involvement. For both issues, newspaper coverage often called for individual-level behavior change. Coverage of how consumers can reduce FLW was more detailed compared to diet change and portrayed numerous organizations and government agencies working in partnerships to reduce FLW. Coverage of diet change efforts portrayed substantial disagreement, including legislative efforts to restrict labeling of alternative meat and dairy products. Journalists covering new evidence on the need to shift diets for sustainability often quoted both the lead researcher and an opponent with ties to the livestock industry. Inclusion of “both sides” was similar to previous media coverage that presented climate change as an open debate for years. Strong scientific evidence shows the need to address both FLW and diet shifts to improve interconnected environmental and human health outcomes, and our analysis of media coverage shows important differences regarding how these two issues are covered in the media and approached by stakeholders in the U.S. These results can inform communication with consumers, journalists, and policymakers to more effectively translate evidence into solutions, especially at the organizational and policy levels.

The COVID-19 pandemic, in addition to the sometimes-dramatic effects in the health sector, presented a wide range of challenges for the various sectors of the national economies. This article refers to the effects of the pandemic in the university field, especially for the period of 2021 until now. The period corresponds to the end of the pandemic overlapping with the post-pandemic return to normal. Although at the beginning of the pandemic the effects seemed terrible, being widespread and long-lasting, some effects were still useful and motivational for the “real world”. The effects in question are those of compulsory online teaching, so on a large scale, of all subjects from all disciplines. The authors modeled and implemented a database system that includes several types of tests to generate representative samples from the university population. In the content of the article, two such tests are exemplified for a single one-semester discipline: “Computer programming and programming languages II”. The experience of the authors revealed, by comparison, practical ways to teach the theory provided in the states of functions in the real world, using exclusively the online or the mixed environment. Finally, we provide a brief conclusion and ideas for future work.

The tourist industry is consistent with the new development paradigm and plays a crucial role in regional economic growth. At the same time, several areas of China have developed tourism as a vital industrial pillar. Analysing and examining the elements that affect the tourist industry in this setting has significant theoretical and practical implications. The dependent variable for this study is the tourist income for Guizhou Province from 2006 to 2019. A total of Eight variables are chosen as independent variables, including the distance travelled by rail and by road, the number of civil flights, the number of travel agencies, the overall number of tourists, the disposable incomes of both urban and rural residents, the number of tertiary industry workers, and the volume of foreign direct investment. The eight independent variables are discovered to favourably impact tourist revenue through the use of factor and regression analysis. Based on the study’s findings, this article suggests that (1) crisis management should be strengthened, and tourist businesses should be advised to become more active rather than passive, (2) infrastructure development should be enhanced for supporting tourism and directing the growth of the rural tourist industry in the area, and (3) the use of digital technologies should be enhanced and the speed of building intelligent tourism should be increased.

The smell of space is inseparable from the sustainable development of the living environment. The research on olfactory perception and smell landscape has a positive effect on landscape design and urban planning and contributes to the formation and design optimization of unique urban memory. This study combines urban smell tracking experiments with Internet social media data analysis to classify smells in the old city center of Guangzhou, China, and analyzes the study within the inner ring and six historic districts. Based on the research results, the smell map was drawn, and the reliability of the smell map was tested through social data and semantic analysis. The emotional score heat map of smell and emotion in six regions was constructed, highlighting the impact of smell in key neighborhoods on the environment. In the conclusion to the study, the thematic routes of green urban design are proposed: sightseeing routes, cultural routes, and food routes, as well as improvement strategies to promote the integration of smell and urban operation activities and the sustainable development of urban regional characteristics.

This paper examines the effect of the land reform program on the production of main agricultural crops, which are maize and soyabean, in a bid to deduce the implications of the possible restoration of land acquired for resettlement in Zimbabwe. The interest of this paper is in response to the new legislation by the Government of Zimbabwe under which former farm holders may apply for restoration of title to the piece of agricultural land that was compulsorily acquired from them for resettlement during the 2000 Fast-Track Land Reform Programme (FTLRP). Contrary to cross-sectional studies done before, this study applied the Ordinary Least Squares estimation technique on time series data covering the period 1980–2019. The results show that the period after the land reform has lower maize and soyabean output per hectare compared to the period before land reform. The findings imply that the FTLRP disrupted production, which has never been restored to prior output levels; this points to the new government’s interest in the restoration of land to former farm holders to sustain agricultural production, particularly maize and soyabean.

Coastal and marine tourism offers a wide variety of activities that can be sustainable due to the characteristics of its natural and cultural attractions. The present study was carried out in Jacó, a sustainable destination with coastal and marine characteristics of Costa Rica, with the objectives (i) of identifying the motivations of tourist demand; (ii) segmenting the tourist demand; (iii) establishing a relationship between the segments and sociodemographic aspects; and (iv) determining the relationship between segments of demand and satisfaction and loyalty. This quantitative study collected a sample of 304 valid questionnaires on-site in June 2021. For data analysis, a factorial analysis and non-hierarchical K-means segmentation were performed. The results show five motivational dimensions: “Learning and coastal experience”; “Nature”; “Rest and safety”; “Water sports”; and “Nightlife”—and three segments of tourists: “Multiple motives”; “Passive tourists”; and “Eco-Coastal”. The “Eco-Coastal” segment was the most satisfied in terms of enjoying the coastal nature of the destination. The “Multiple motives” group showed the highest intentions to return, recommend, and spread positive word of mouth. These findings will serve as management guides for coastal and marine destination managers and will help adapt these tourism sites to the new demand instigated by the global health crisis.

With population growth, the demand for building construction is continuously increasing. This comes at the price of the built environment where the building sector is contributing to large energy consumption and carbon footprint releases. To encourage sustainable construction, contractors need to see the market benefit of “going green”. Previous studies of green building contractors (GBCs) mainly relied on qualitative discussions and lacked studying the market performance which drives contractors’ decisions the most. This paper collects GBC revenue data from the Engineering News-Record magazine for the top 100 GBCs over a 13-year period and performs trend analysis to assess the market performance of GBCs and time series analysis to forecast future revenues. In addition, k-means clustering technique was used to divide the firms into subsets of similar behavior to understand growth trends for different firm sizes. The results show a continuous increase in green building revenues (GBRs), where commercial office buildings contribute the most to it. Furthermore, the firm ranks responsible for most of the growth are identified; mainly the top 9. Predictions show the expected steady increase in GBR in the upcoming years which is anticipated to reach 83 billion USD in 2025. The findings inform contractors considering executing green buildings by understanding the market trends and forecasted revenues. Moreover, contractors who are already in the green building business can use this information to increase their revenues in their respective market subset.

The circular economy (CE) is an essential societal topic of the 21st century. Although various scientific disciplines address it, many research gaps exist. The Delphi is a proven instrument for managerial decisions, which also gained importance in sustainability-oriented innovation research. Likewise, innovation processes using the input of crowds are emerging phenomena. Nevertheless, the Web of Science publication record includes a few articles applying crowdsourcing or the Delphi method to support CE-oriented management decisions only, and their further application has limitations. Addressing these gaps, this article presents an advanced concept integrating both methods to support the development of CE products and software responding to the worldwide need for more sustainable automotive products and CE solutions for tyres specifically. A combination of two-stage crowdsourcing and Delphi approaches was used, involving 509 participants from the EU member state Germany in total. This article provides, in particular, five contributions: First, it identified specific benefits of combining crowdsourcing and the Delphi method. Second, the attractiveness of a CE software system with product configuration tools is shown. Third, the interest in a quality label for sustainable tyres is unveiled. As the fourth contribution, the analyses show the importance of the CE software’s and labels’ consideration of social aspects in the tyre value chain and certain substances influencing appropriate recycling. Fifth, it represents consumers’ suggestions for products made of tyre recyclates and their interest in additional CE automotive products. The article finishes with recommendations for developing a tyre CE and applying the method combination in research and management.

The renovation of buildings involves multidisciplinary issues and multistakeholder involvement, which makes the process complex to manage. The purpose of this paper is to present a transparent, openly accessible, adaptable framework to ensure a sustainable renovation process, covering the technical, environmental, economic, social, and cultural historical aspects to be considered by the various actors during the renovation process. A framework with an associated process was drawn up, focusing on practical usefulness together with the fundamental idea that sustainability cannot be a sub requirement but must be the overall requirement present in all stages of the process. The framework contains an overview, description of activities, links to external tools and documents, and finally a checklist to be completed after each stage. Depending on which stakeholder uses the framework, there are different examples and suggestions for activities and tools. Contrary to many other assessment schemes, the SIRen process focuses on the renovation process itself, and the self-evaluation gives a numerical value that represents to what extent the actors have considered and implemented different aspects of sustainability in the stages of the renovation process. The SIRen process was partially implemented in four renovation projects during the iterative development of the SIRen framework.

Investigating the viability of alternative food networks (AFNs) is more important than before because of the disruptions in global supply chains and evolving resident composition in different regions. In this regard, this paper reports on findings of a project aimed at identifying factors influencing support for local, sustainable food production, and distribution systems. In the first phase, local residents and international students in Cape Breton, Canada, were surveyed prior to the onset of the coronavirus disease 2019 (COVID-19) pandemic to assess their attitudes and values relative to shopping at farmers markets and buying local. In the second phase, mid-pandemic, text mining of Twitter data was used to gauge sentiments related to these same activities. The results of our explanatory analysis suggest that the top two factors influencing decisions to buy local farm products were food attributes and supporting community economic development. In contrast to previous studies, we included an alternate sample group, namely, international students, and explored the relevance of the social aspect of buying local, e.g., meeting the farmer. Among our findings from the application of a logistics regression model to our survey data (N = 125) is the suggestion that the senior non-international student residents of the Cape Breton Island were more probable to be in the category of consumers whose perception of an authentic buy-local experience was limited to distribution channels that allowed for the social aspect of buying local, e.g., meeting the farmer.

Catch-only models (COMs) have been the focus of ongoing research into data-poor stock assessment methods. Two of the most recent models that are especially promising are (i) CMSY+, the latest refined version of CMSY that has progressed from Catch-MSY, and (ii) SRA+ (Stock Reduction Analysis Plus), one of the latest developments in the field. Comparing COMs and evaluating their relative performance is essential for determining the state of regional and global fisheries that may be lacking necessary data that would be required to run traditional assessment models. In this paper we interrogate how performance of COMs can be improved by incorporating additional sources of information. We evaluate the performance of COMs on a dataset of 48 data-rich ICES (International Council for the Exploration of Seas) stock assessments. As one measure of performance, we consider the ability of the model to correctly classify stock status using FAO’s 3-tier classification that is also used for reporting on sustainable development goals to the UN. Both COMs showed notable bias when run with their inbuilt default heuristics, but as the quality of prior information increased, classification rates for the terminal year improved substantially. We conclude that although further COM refinements show some potential, most promising is the ongoing research into developing biomass or fishing effort priors for COMs in order to be able to reliably track stock status for the majority of the world’s fisheries currently lacking stock assessments.

A study was undertaken in Koun Mom district of Ratanakiri province in Cambodia to analyze the perceptions of the current status and constraints to soybean production and identify solutions to improve production and the management practices. Primary data were collected by personal interviews at field level of 130 producers. Most respondents were in the medium age category, Grade 4 education, with an average land holding of 2.96 ha and annual income of KHR 6,195,548 Riels (about 1548 USD). In terms of economic and production constraints, the high cost of fertilizers, severe insect and disease infestation, were identified as most important. Association with independent characteristics and scientific orientation were not significant, but education, land holding, annual income, socioeconomic status, and risk preference were significantly associated with constraints to soybean production. Within the context of sustainable agricultural production practices, it is suggested to improve high-yielding genotypes, ensure timely availability of high-quality seeds, and identify appropriate crop management practices (planting dates, planting density, nutrient and water management practices) and find ways to efficiently and effectively disseminate information to farmers to enhance soybean production in the region. In addition, extension agents and other agencies should provide soybean farmers marketing information, establish viable links between farmers and relevant stakeholders and private sector to improve access to inputs and modern technologies while the local and state governments should establish rural markets with good market infrastructure to enable farmers have high returns from soybean production.

Water scarcity and imbalances in irrigation and drainage are the main factors leading to soil salinization in arid areas. There is a recognized need for effective drainage measures to prevent and improve saline−alkali land. The principal objective of this project was to investigate the effects of drainage measures on soil desalination and farmland drainage in the process of improving saline–alkali soils; these measures included subsurface pipe drainage (SPD) and open ditch drainage (ODD). The results of the tests, conducted over two years, revealed that the soil desalination rate in the SPD test area was between 25.8% and 35.2%, the cotton emergence rate was 36.7%, and a 3.8 t hm−2 seed cotton yield could be obtained. The soil electrolytic conductivity (EC) decreased step by step over time, and the average annual decrease reached 10 dS m−1. The degree of soil salinization was reduced from a moderately saline soil level (8−15 dS m−1) to a weakly saline soil level (4–8 dS m−1). Thus, the phased goal of improving saline–alkali land was achieved. The soil desalination rate in the ODD test area was only 1/10 of the SPD area; high soil EC (9−12 dS m−1) and groundwater level (2–3 m) were the most limiting factors affecting cotton growth in the ODD test area. The current results show that the critical depth of groundwater level affecting farmland secondary salinization is 4 m. In order to improve the salt discharge standard, SPD technology should be used on the basis of ODD. For salt that has accumulated in the soil for a long time, the technical mode of drip irrigation and leaching, followed by SPD drainage, in combination with the current irrigation system can achieve the goal of sustainable agriculture development.

Biomass can be envisaged as a potential solution to mitigate the problems that the extensive exploitation of fossil sources causes on the environment. Transforming biomass into added-value products with better calorific properties is highly desired. Thermochemical liquefaction can convert biomass into a bio-oil. The work herein presented concerns the study of direct liquefaction of Eucalyptus globulus sawdust. The main goal was to optimise the operating conditions of the process to achieve high bio-oil conversion rates. Studies were carried out to understand the impact of the process factors, such as the residence time, catalyst concentration, temperature, and the biomass-to-solvent ratio. The E. globulus sawdust conversion into bio-oil was achieved with a maximum conversion of 96.2%. A higher conversion was reached when the eucalyptus sawdust's thermochemical liquefaction was conducted over 180 minutes in the presence of a &gt, 2.44% catalyst concentration at 160 °C. A lower biomass-to-solvent ratio favours the process leading to a higher conversion of biomass into bio-oil. The afforded bio-oil presented a better higher heating value than that of E. globulus sawdust.

The construction industry faces a challenging situation in attaining sustainable development goals. The carbon footprint of the production and use of construction materials such as the use of ordinary Portland cement in concrete products is still on the rise despite of many alternatives and technologies. In this paper, the local cross-organizational learning approach (COLA) and a systematic review of academic and professional literatures were applied in analyzing the use of fly ash as a geopolymer in the Philippine construction industry. Three primary stakeholders were considered: academe, professional organizations, and industry. Documents from each stakeholder were collected, with keywords including sustainability, fly ash, and geopolymer. These documents included published materials, newsletters, department orders, codes, and policies. Text analytics throughout the documents were applied using the Latent Dirichlet Allocation model, which uses a hierarchal Bayesian-modelling process that groups set of items into topics to determine the maturity level of the organizational learning. An adoption framework is proposed aligning COLA with the awareness, interest, desire, and action (AIDA) funnel model. Results show that the organizational maturity until optimization of academe is sufficient towards interest and desire, while industry is highly encouraged to increase organizational maturity from managed to optimization towards desire and action. Factors such as organizational intelligence (OI) and organizational stupidity (OS) are to be considered in balancing critical thinking across organizations. Further studies are recommended by considering the use of COLA with ASEAN organizations in the development of sustainable construction materials.

Water is life, and clean-water demand is increasing daily as a result of rapid population growth and industrial evolution. Nevertheless, due to the inadequate supply and availability of new water sources, there is a need for effective, sustainable removal of contaminants for wastewater reuse. Several treatment approaches that include chemical, physical, and biological methods have been thoroughly tested, with biological treatment being regarded as the most cost-effective and environmentally friendly method. However, the presence of heavy metals and complicated chemicals that are nonbiodegradable limits the use of this cost-effective approach. In this paper, we review the sustainable application of a cheap, water-stable metal-organic framework, the zeolitic imidazolate framework (ZIF-8), with an easier synthesis approach for heavy-metal removal in aqueous solutions. In this review, we discuss the removal efficiency in terms of adsorption capacity, describe the underlying mechanism behind the adsorption capacity of ZIF-8, present a sustainable synthesis approach, and make vital suggestions to aid in the future application of ZIF-8 for the removal of heavy metals.

Consumers are paying more and more attention to ethical and social criteria during grocery shopping. As a result, Fair Trade products which are certified to address global supply chain issues (e.g., forced labor, working conditions, fair pay), are gaining popularity. However, it is unclear to which extent Fair Trade labels might influence how consumers perceive such labelled food products. The aim of this research was to examine the potential effect of Fair Trade labels on several measurements (overall liking, sensory profiling, emotions, willingness-to-pay and kCal estimations). Furthermore, tests were carried out at a sensory lab and at home to examine if the evaluation context might impact the label effect. In total, 179 consumers participated in this study of which 90 carried out the test in the sensory test facilities (central location test—CLT) and 89 at home (home-use-test—HUT). Participants evaluated three pairs of food products (nuts, juice and chocolate) of which one was labelled as conventional and the other one as Fair Trade. However, participants were each time evaluating the same Fair Trade product. Results showed that the Fair Trade label increased the overall liking. For the juice and chocolate, a higher willingness-to-pay was found when the product was labelled as ‘Fair Trade’ while no effect of the label was established for the nuts. The Fair Trade label did not affect the kcal estimation of the samples. The Fair Trade label had a rather limited influence on the sensory and emotional profiling of the food products. Furthermore, the results of the CLT and HUT were highly similar indicating that the evaluation context has little impact on the labelling effect.

The concept of sustainable development is part of global problems related to human activity, and the functioning of economies and societies in both developed and developing countries. For economic organizations, it means a way of management in which economic, environmental, and social issues related to their functioning are taken into account simultaneously and equally. In organizations following this path of development, a new quality of management should appear. It may concern, among other things, such aspects as the way of including the issue of sustainable development in the organization’s strategy and the way of measuring the achievements in this area. In economic practice, organizations should—to a greater extent than before—focus on products (and/or services), technologies, and resources that contribute not only to obtaining benefits for the organization itself but also for the wider environment. Managing such an organization requires not only the transformation of the attitudes and behaviors of managers and employees but also noticing and taking into account the creative use of tangible and intangible resources, and the creation of innovative concepts and solutions. The purpose of this article is to present green intellectual property as a strategic resource for an organization working towards sustainable economic development. Contemporary organizations that use green intellectual property create a strategy based on the definition of goals and actions to ensure homeostasis between economic, social, and environmental development.

The importance of supporting agricultural mechanization in agri-food supply chains to achieve agricultural and rural development has been comprehensively recognized. There has been a surge in the attention given to Sustainable Agricultural Mechanization (SAM) in the context of developing countries. However, it is important to address the major challenge of studying the important factors and the influencing path of SAM. As a representative province of China’s agricultural development, Hubei has developed significantly in terms of agricultural mechanization in the past 20 years. Therefore, using a literature review, representative field survey data, and statistical analytical approaches, 28 relevant factors related to SAM were extracted, and the main influencing factors of SAM were determined by building an integrative conceptual framework and using the corresponding structural equation model based on partial least squares (PLS-SEM). The relationships and influencing paths between the factors were analyzed, and a confirmatory measurement model and a structural model of the effects on sustainable agricultural mechanization were constructed. The results show that (1) the PLS-SEM model fits the experimental data well and can effectively reflect the relationships among factors in this complex system; (2) within the factors influencing the development level of SAM in Hubei, China, the economic factors have the greatest weight, whereas government policy factors are the core elements promoting development, and environmental factors are the most noteworthy outcome factors; and (3) economic and policy factors play a very obvious role in promoting SAM through the influencing paths of agricultural production and agricultural machinery production and sales. Ultimately, corresponding suggestions have been put forward for decisions regarding the implementation of SAM for similar countries and regions.

Semiarid regions are characterized by prolonged droughts and drought regimes. In Brazil, 57% of the northeast region is considered semiarid, with an average annual rainfall of less than 800 mm. This climatic condition imposes the need to conduct public policies and develop infrastructure in order to mitigate drought effects. In this context, the S&atilde, o Francisco River transposition project is an alternative to problems concerning city water supplying and aiming at decreasing socio-economic impacts resulting from water restrictions in this region. On the one hand, the river transposition has the potential to establish a new development cycle in Northeastern Brazil, while, on the other, electricity demands, estimated at 2533 GWh/year from 320 MW of installed capacity, require technological alternatives that ensure the project&rsquo, s financial sustainability. In this context, this study presents proposals for arrangements concerning electric energy production through photovoltaic systems as an alternative supply for the transposition project. To this end, a study of the region&rsquo, s photovoltaic solar potential was carried out. Based on the performed assessment, three production arrangement proposals that consider the use of (i) the lateral area and (ii) the transposition channel and (iii) part of the area of some reservoirs belonging to the transposition of S&atilde, o Francisco river. The study point out that the use of this potential for all three studied arrangements is favorable to supply, individually or in a combined form, the electrical energy demanded by the pumping stations installed.

The successful ways in which families have conducted their businesses decade after decade have drawn scholars&rsquo, attention to what the mainstream ideas are when it comes to making sustainable decisions. This article focuses on the main drivers behind sustainable decisions made by family businesses with respect to three pillars: economic, environmental, and social. In this context, the authors&rsquo, aim is to present a statistical model for forecasting companies&rsquo, future revenue in the next financial year by analyzing the relationship between the main internal drivers of family businesses and their corresponding financial objectives. Additionally, the analysis of the long-term strategy and the short-term actions indicates an understanding of environmental awareness. Reaction time in investment decisions represents a challenge for the sustainable performance of family companies. Human resources with good operation management in family businesses contribute to the assurance of long-term business stability and high returns on investments. The results will contribute to the literature on economic sustainability of family businesses.

The article describes sustainable transport principles and guides that can lead cities towards a more efficient transportation network. The authors also show good practice used in different urban areas, such as London and Copenhagen. Furthermore, Vilnius was analyzed for its sustainable transport rules and mobility. The authors took into consideration components such as public transport indicators, car use and the number of trips made by bicycle and by pedestrians. Additionally, solutions such as shared space, developing cycle routes and public transportation networks, dividing different transport modes, reducing distance and the need to travel, policy shifts and technological innovation are proposed. Moreover, already taken actions are also verified. The article, additionally, shows guidance for Vilnius, so it could be possible to develop a sustainable traffic network in the city. All analyses and guidance were based on using geographic information system (GIS) tools which allowed the authors to obtain the most reliable results. The artefacts are presented by means of a combination of graph theory algorithms in order to obtain sustainable transport using the example of a part of Vilnius City.

This article provides a scientific production overview of hospitality, leisure, and tourism studies in Chile, including key factors of interest regarding this social science subdiscipline. The fundamental knowledge contributions are examined using a scientometric approach (spatial, productive, of impact, and relational) based on data from records stored in the Web of Science (JCR and ESCI). This approach aims to critically analyze the scientific production on hospitality, leisure, and tourism (HLT) with contributions from authors affiliated with Chile, to respond to the connection between this research, the sectoral education, and sustainable development of the HLT industry. At the results level, an increase in scientific production in the last decade, a breadth revealed in publications&rsquo, quality terms, insertion in worldwide relevance co-authorship networks, an evolution from general issues to those of the discipline itself (cultural tourism, wine tourism, tourism marketing, hospitality industry, and sustainable tourism), a concentration on ecotourism education, and a disconnection between the diverse knowledge-producing centers and those of sectoral training were identified.

In order to contribute to climate neutrality within the EU in 2050, it is necessary for administrations to play a driving role through green public procurement for building renovation (GPPBR). Among the main barriers that slow down the GPPBR, a lack of knowledge of the parties involved can be highlighted. Faced with this scenario, the aim of this article is to provide a compilation, as a preliminary state of the art, of the most important environmental measures to bring to the GPPBR specifications. The methodology used for this compilation and critical analysis consisted of a systematic search for laws, regulations and guides prepared by Spanish public administrations, as well as looking into other international information sources, mainly collected from the EU. Despite the fact that related technical information is abundant, it is scattered and at times impractical. This study can be useful as a basis for both drafting specifications and highlighting the need to develop other specific and advanced technical procedures to assist GPPBR professionals.