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This study explores the impact of environmental management standards specifically ISO 14000, green production, and environmental policies on sustainable development within food manufacturing companies in Saudi Arabia. It also investigates the moderating role of environmental management on these relationships. A questionnaire was distributed to 370 participants across various management levels, with data analyzed using structural equation modeling (SEM) via SmartPLS 4. The findings reveal that ISO 14000, green production, environmental policies, and environmental management each have significant positive effects on sustainable development. However, environmental management negatively moderates the relationship between ISO 14000 and sustainable development and does not significantly influence the moderating effects of green production or environmental policies. The study offers practical recommendations to enhance sustainability performance through these standards and highlights opportunities for future research and practical advancements in the sector. [ABSTRACT FROM AUTHOR]

Based on the principle of distributed layout, the community is chosen as the basic unit of the city, and an appropriate community scale is redefined based on the attributes and characteristics of green production. This article first summarizes the existing research models at the community level using bibliometric methods, and on this basis the process of researching the green productive community unit scale is constructed. Subsequently, the data on the scales of agriculture, energy, transport, and commercial facilities from the relevant Chinese national city standards are summarized, classified, and generalized. This is followed by the derivation of appropriate grid scales for green productive community units. Ultimately, a quadratic optimization scale was devised for community units at varying levels based on fractal and management unit theory. This paper presents a new community unit scale constructed for use in large- and medium-sized areas in China, which serves as an illustrative example. The newly developed community scale has the potential to improve the efficiency of resource allocation and support the transition from functional adjustment to structural adjustment in urban areas. Furthermore, the scale definition method and principle can be extended and applied to other large- and medium-sized urban areas globally. [ABSTRACT FROM AUTHOR]

Abstract Nowadays, consumers show more interest towards eco-friendly products. To meet this demand, however, manufacturing processes often generate a lot of hazardous waste, which creates challenges for companies. To tackle these issues, this work develops an optimization model to help companies with managing production, reduce waste, and maintain green product standards. To navigate solution of the profit maximization problem became apparent in the model, a new meta-heuristics called Artificial Hummingbird Algorithm is employed and compared with a wide range of other optimization techniques. The results demonstrate that this algorithm outperforms others on the majority of case studies. Sensitivity analyses are also performed to help managers make informed decisions.

This study is based on environmental sustainability and aims to explore the preparation and evaluation of biodegradable bio-fibre materials using discarded bougainvillaea, loofah, and aloe. After sorting and analyzing the existing literature, it is found that research on bougainvillaea, loofah, and aloe primarily focuses on environmental science, horticulture, biology, light industry, and pharmacy, while research on bio-fabric combining bougainvillaea, loofah, and aloe in two or three combinations remains unexamined. This study adopts both observational and experimental methods to identify candidate varieties suitable for natural dyeing by observing the characteristics of bougainvillaea and by preparing and testing bio-fibre materials through experimentation. Notably, the beet pigment found in bougainvillaea serves as a natural dye, the α-cellulose and hemicellulose in loofah sponge provide strong hydrophilicity, and the caffeic acid and rhamnolipids in aloe exhibit antioxidant and antibacterial properties, thereby improving the fabric’s safety. Experimental results and final bio fibre performance tests indicate that fibres made from these three plants have a stable internal structure, abrasion resistance of over 30,000 cycles, colour fastness concentrated at level 4, and a contact angle of less than 90°, thereby showing good stability, abrasion resistance, colour fastness, and hydrophilicity. Consequently, this study finds that bio-fibres prepared from bougainvillaea, loofah, and aloe demonstrate promising performance and are expected to contribute to the development of sustainable fibres in the future.

It is not uncommon that supply chain partners carry out cooperative advertising in green production involving green and dirty products (i.e., substitute products). Besides the advertising decisions, they need to jointly make many other decisions, such as substitute products' production quantities, wholesale prices, and retail prices. Practice and literature have shown that manufacturers-retailers' joint decision-making is of paramount importance yet challenging. This decision-making difficulty is compounded by governments' carbon tax policies and financial subsidies. To facilitate firms in making decisions, this study examines the joint decision-making mechanism involving local governments' carbon taxes and subsidies. To overcome the limitations of the relevant literature addressing one product and relatively fewer decisions, we include both dirty and green products and consider diverse decisions, including technology selection, production quantities, wholesale prices, and retail prices for both products. Additionally, we consider the retailers' advertising investment decisions for both products and the manufacturers' ratios of advertising investment paid to retailers. Capitalizing on decision interactions, we develop a Stackelberg game-based bilevel optimization model. Caused by the large number of decisions and their interactions, solving the game model analytically is barely possible. Consequently, we propose an algorithm of nested particle swarm optimization (NPSO). We perform numerical examples to show how the game model and the NPSO can help firms make complex joint decisions with many interactions. We also carry out sensitivity analysis based on which managerial insights are drawn. [ABSTRACT FROM AUTHOR]

The pivotal role of greening production methods is indispensable in facilitating the sustainable development of China's agricultural sector and its modernization process. Translating farmers' ecological cognition into environmentally conscious production behavior constitutes a fundamental strategy for advancing the green transformation within China's agriculture. However, a recurrent issue arises from an inconsistency between farmers' green production behavior and their ecological cognition. Meanwhile, the current research has fewer studies on the consistency of farmers' cognition and behavior, and more analysis of the logical hierarchical relationship between their influencing factors needs to be done. Based on a field survey of 399 farmers in Hainan Province, this paper first employs descriptive statistics to assess the consistency of farmers' ecological cognition with their green production behavior. Second, this study uses a Logistic model and Interpretative Structural Model (ISM) to empirically analyze the factors influencing such consistency and the internal logical relationships of these factors. The results reveal that merely 28% of farmers exhibit consistency between their ecological cognition and green production practices. Secondly, education level, health status, political capital, household expenditure, planting scales, risk preference, peer influences, policy cognition, social networks, and information acquisition significantly influence this "consistency." Thirdly, the logical hierarchical relationships established via the ISM indicate that peer influences and risk preference are the surface direct factors; policy cognition, information acquisition, social networks, and planting scales are middle indirect factors; education level, political capital, health status, and household expenditure are deep-rooted factors that underpin the entire framework. Given these insights, this study recommends that the government undertake initiatives to reinforce education and training programs, enhance accessibility to information and technical support, and tailor policies to accommodate small-scale farmers. This study endeavor contributes to an enhanced comprehension of the factors influencing the transformation of farmers' ecological cognition into green production behavior, also presenting pragmatic policy proposals to advance sustainable agriculture in China. [ABSTRACT FROM AUTHOR]

Abstract Based on 491 farmers joining in cooperatives microscopic data in Jiangxi Province,the paper uses Ordinary Least Squares to test the influence mechanism of cooperative green production on green performance, and takes environmental regulation as a regulatory variable to explore the relationship between cooperative green production and cooperative green performance. The results have shown that: (1) The green production cooperatives have a significant positive impact on their green performance, and the impact of green production on economic performance, social performance and ecological performance gradually strengthens from weak to strong; (2) Environmental regulations have a positive regulatory effect on the relationship between cooperative green production and cooperative green performance, among which three types of environmental regulations, namely, incentive, restraint and guided, can strengthen the positive relationship between green production and green performance.

Anion-exchange-membrane electrolysis is positioned to play a key role in the predicted exponential growth of green hydrogen technology with essential R&D advances. We reveal key design parameters essential to commercialization. First, stable alkaline oxygen-evolution reaction catalysts with high electronic conductivity and minimal surface reconstruction during operation must be designed. Alkaline catalyst layers must also be applied to the membrane electrode assembly with scalable, industrially relevant techniques. Second, ionomer oxidation mitigation strategies must be developed. This approach could also target other creative catalyst layer design, such as phase-separation control to protect oxidation-prone organic components or catalyst engineering to direct selectivity for hydroxide over polymer oxidation. If competitive efficiency and durability can be achieved in pure water, AEM electrolysis has the potential to become a dominant electrolyzer technology.

As environmental awareness grows, society emphasizes green business. Thus, semiconductor companies encompass energy-saving processes and innovative product development. This study employs the fuzzy decision-making trial and evaluation laboratory (DEMATEL) analysis method to assess the impact of four key dimensions, externalities, market orientation, green technology, and corporate social responsibility, on semiconductor companies' green production decisions. This study uses the DEMATEL-based analytic network process (DANP) approach to rank the criteria order in green production decision-making. The results from the DEMATEL causality diagram highlight externalities as the most critical dimension influencing other dimensions of green production decisions. This study suggests that regulatory pollution punishment and subsidies emerge as the primary drivers for green production decisions. Companies adopt environmentally friendly production practices to prevent regulatory pollution penalties or reduce carbon trading costs. Additionally, the DANP results reveal that corporate image criteria in the corporate social responsibility dimension hold the utmost priority in semiconductor firms' green production decision-making. This implies that considerations for improving a company's image should take precedence as semiconductor companies seek shareholder support and governmental subsidies to ensure sustainable operations. Externalities arise as the secondary priority dimension in green production decision-making, aligning with the impact of externalities identified in DEMATEL findings. [ABSTRACT FROM AUTHOR]

Based on 491 farmers joining in cooperatives microscopic data in Jiangxi Province,the paper uses Ordinary Least Squares to test the influence mechanism of cooperative green production on green performance, and takes environmental regulation as a regulatory variable to explore the relationship between cooperative green production and cooperative green performance. The results have shown that: (1) The green production cooperatives have a significant positive impact on their green performance, and the impact of green production on economic performance, social performance and ecological performance gradually strengthens from weak to strong; (2) Environmental regulations have a positive regulatory effect on the relationship between cooperative green production and cooperative green performance, among which three types of environmental regulations, namely, incentive, restraint and guided, can strengthen the positive relationship between green production and green performance. [ABSTRACT FROM AUTHOR]

Digital transformation is one of the prominent phenomena of the century, and it has many effects on the economy, society, and environment. Digital transformation means using new technologies that lead to increased efficiency, creativity and innovation and can solve environmental challenges, such as reducing air, water and soil pollution, saving natural resources, protecting biodiversity and solving greenhouse effect reduction. Slow Green performance is an index that measures the degree of adherence of businesses to environmental activities and preserves resources for future generations. Organizations and companies are trying to move their production activities towards green production. Advertising activities are also organized through green marketing and combined green marketing. Given the importance of green performance, this article explains what aspects of the green supply chain are affected by digital transformation. This article is based on articles collected from the reliable hub research site and interviews with several experts in digital and green management. The present article, which is qualitative, cites numerous articles and the qualitative analysis method with MAXQDA software and explains how digital transformation makes the green supply chain more efficient. The results showed that digital transformation has the greatest impact on green production, followed by green materials and green consumption.

Based on the principle of distributed layout, the community is chosen as the basic unit of the city, and an appropriate community scale is redefined based on the attributes and characteristics of green production. This article first summarizes the existing research models at the community level using bibliometric methods, and on this basis the process of researching the green productive community unit scale is constructed. Subsequently, the data on the scales of agriculture, energy, transport, and commercial facilities from the relevant Chinese national city standards are summarized, classified, and generalized. This is followed by the derivation of appropriate grid scales for green productive community units. Ultimately, a quadratic optimization scale was devised for community units at varying levels based on fractal and management unit theory. This paper presents a new community unit scale constructed for use in large- and medium-sized areas in China, which serves as an illustrative example. The newly developed community scale has the potential to improve the efficiency of resource allocation and support the transition from functional adjustment to structural adjustment in urban areas. Furthermore, the scale definition method and principle can be extended and applied to other large- and medium-sized urban areas globally.

The study explores the influence of contextual factors surrounding production planning and green strategic investment decision‐making practices (GSIDMP) in UK companies. We utilize a mixed‐method approach as a research methodology to study the current trend of production planning and GSIDMP. This study's conceptual model is rooted conspicuously in the resource‐based theory (RBT), natural‐resource‐based view, and dynamic capabilities. We empirically examine the nexus among GSIDMP, technological innovation, dynamic capability, and companies' performance. Our study was based on a sample selected from UK‐listed companies, FTSE ALL‐Share Index for the period (2012–2021). Also, the study utilizes data from the UK Innovation Survey (2018–2020) and corporate disclosure through companies' annual reports as a complementary approach for data collection. Findings of this study explore the interdependencies among company dynamic capability, advanced technological innovation and governance mechanisms, and their mediation influence on the nexus between GSIDMP and companies' performance. This study sheds lights on current business innovation strategies. Findings reveal how current practices of production planning and GSIDM in large UK companies shaped by boardrooms absorptive and adaptive capabilities, knowledge‐generating and knowledge‐collaboration capabilities, technological adoption, and corporate governance mechanisms. This study offers insight regarding boardrooms proactive engagement in exploration and exploitation activities to strengthen ambidexterity through various innovation trajectories associated with green production and GSIDMP towards sustainability. We provide managerial implications for decision‐makers, regulators, investors, scholars, and other stakeholders. [ABSTRACT FROM AUTHOR]

In response to the intensifying compression of resources and the environment associated with rapid industrial growth and increasing living standards, green production and sustainable living have developed essential facts for ecologically conscious progress. Despite the potential benefits of synergy, the complex relationship between green production and living organisms presents challenges that have not been thoroughly explored. This paper aims to fill this gap by proposing a comprehensive mechanism model that elucidates the collaboration between green production and life. Using comprehensive interviews and grounded theory procedures, this study, situated within the supply and demand context, precisely undoes the important basics and academic foundations of the synergy association between green production and living. The outcomes of this study disclose prominent insights: Firstly, collaborative perception, collective ability, and a cooperative atmosphere develop as substantial features with a significant effect on the synergy between green production and living, with resource environments having an indirect impact through their stimulus on synergy capacity. Secondly, the synergy efforts in green production and living, propelled by policy, social, and market environments, display characteristic features. Thirdly, the moderate perception of green production and living relationship is divided into the following four visible facets: educating a demand market for green supply, meeting green demand, catalyzing demand through green supply, and pushing supply through green demand. This paper proposes valuable recommendations, providing targeted policy designs and execution pathways for legislative entities looking for operative intercessions to adoptive collective activities in green production and living. [ABSTRACT FROM AUTHOR]

The concept of sustainable development appeared as a response to the attempt to improve the quality of human life, simultaneously with the preservation of the environment. For this reason, two of the 17 Sustainable Development Goals are dedicated to life below water (SDG14) and on land (SDG15). In the course of this research, comprehensive information on the extent of degradation in Romania’s primary ecosystems was furnished, along with an exploration of the key factors precipitating this phenomenon. This investigation delves into the perspectives of 42 counties, scrutinizing the level of degradation in forest ecosystems, grasslands, lakes and rivers. The analysis commences with a presentation of descriptive statistics pertaining to each scrutinized system, followed by an elucidation of the primary causes contributing to its degradation. Subsequently, a cluster analysis is conducted on the counties of the country. One of these causes is the presence of intense industrial activity in certain areas, so it is even more important to accelerate the transition to a green economy in order to help the environment regenerate.

In the current scenario, a green product is designed to have a minimal impact on the environment as it is made from recycled materials. In the highly energy-intensive industry, green production has a significant influence on business sustainability. The intelligent environment around us created an unavoidable problem, because of the uncontrolled growth in waste materials like plastic and electrical trash. Both seriously endanger the environment, wildlife, and human health, trash has an impact on societal structures and financial systems in future generations. Industrial and domestic plastic wastes, which are dumped in landfills or the environment, are mostly made of polyethylene (PE) polymers. These wastes’ polymeric nature makes them difficult for microorganisms to degrade. Incorporating biological and chemical processes together is facilitated by pyrolysis and the biodegradation of alkenes to achieve the maximum biodegradation of PE plastics, as proposed in this study, to reduce plastic waste. This research outcome demonstrates that the Waste plastic recycling plant dataset is taken to show the decomposition of high-density PE plastic to simpler alkene with microbial-assisted degradation of alkene to biomass through bacterial communities. Communities of microbes from three different environments inoculating at three nutrient levels are monitored for their ability to degrade model alkenes (with several carbon atoms) within 5 days. There is Plenty of evidence indicating that the nutritional content significantly influences the rates at which hydrocarbons are broken down. These findings imply that the microorganisms required for alkene breakdown are present in a wide range of ambient microbial communities and are significantly chosen under optimized environments such as nutrient enrichment.

The concept of sustainable development appeared as a response to the attempt to improve the quality of human life, simultaneously with the preservation of the environment. For this reason, two of the 17 Sustainable Development Goals are dedicated to life below water (SDG14) and on land (SDG15). In the course of this research, comprehensive information on the extent of degradation in Romania's primary ecosystems was furnished, along with an exploration of the key factors precipitating this phenomenon. This investigation delves into the perspectives of 42 counties, scrutinizing the level of degradation in forest ecosystems, grasslands, lakes and rivers. The analysis commences with a presentation of descriptive statistics pertaining to each scrutinized system, followed by an elucidation of the primary causes contributing to its degradation. Subsequently, a cluster analysis is conducted on the counties of the country. One of these causes is the presence of intense industrial activity in certain areas, so it is even more important to accelerate the transition to a green economy in order to help the environment regenerate. [ABSTRACT FROM AUTHOR]

Today's businesses face a critical need to balance sustainability, environmental responsibility, and operational excellence. Integrating lean and green methodologies holds promise for achieving this balance but presents challenges in real-sector implementation. Despite extensive research in the scientific community, a universally accepted model for integrated lean and green implementation is lacking. Limited research also explores the impact of lean tools on environmental performance indicators. This study aims to identify key economic and environmental performance indicators and investigate how they are influenced by lean tools. The primary objective is to develop a decision-making model facilitating lean tool implementation based on a company's priorities for economic and environmental performance. The methodology involves a literature review, complemented by questionnaires and interviews with experts from academia and the real sector. The findings show that commonly used lean tools positively influence economic and environmental indicators. The decision-making model, tailored to chosen criteria priorities, was successfully validated using simulated and real company data, which makes it a potentially valuable resource for companies navigating integrated lean and green methodologies. While the obtained results show promise, it is important to highlight the limitations arising from the regional focus on Croatia and the inclusion of a subset of the manufacturing industry. [ABSTRACT FROM AUTHOR]

Since AI Chatbots are increasingly adopted in different industries, the purpose of this paper is to examine the influence of AI Chatbots on pro-environment attitudes and willingness to pay for environmental protection. By employing quantitative methodology, multivariate data analysis was conducted to test the effects of AI Chatbot in terms of its interaction, anonymity, customization, and problem-solving on pro-environmental attitudes and individual willingness to pay for environment protection. This study reveals the critical role of Chatbots in encouraging people to protect the environment. Problem-solving is found to be the highest influence on both pro-environmental attitudes and individual willingness to pay. Meanwhile, interaction, anonymity, and customization were revealed to affect WTP indirectly through pro-environmental attitudes. Therefore, digitalization by exploring new technology like AI Chatbots becomes an important concern to reduce the negative actions of humans on the environment and Carbon emissions and develop agricultural tourism activities toward green production. [ABSTRACT FROM AUTHOR]

Due to growing competition, customer retention has become a big problem in many service companies. Within a conceptual model for consumer switching intention, this article examines the influence of customer experience, customer satisfaction, and switching intention to green products, all of which are controlled by online information. Even though scholars have researched consumer switching intentions and the elements that influence them, the complex structural processes that minimize the chance of switching intentions in higher education institutions have remained unstudied. This paper addresses the role of customer experience and customer satisfaction to switching intentions moderated by online information. Data is collected through a questionnaire survey. This study employs purposive sampling to obtain respondents (n = 135), with the criteria, students at Universitas Negeri Semarang, a Conservatory University, who wish to switch to green products. Empirical findings support the proposed model and hypotheses, demonstrating that (1) customer satisfaction is negatively related to switching intention, and (2) The online information factor further strengthens the relationship between customer satisfaction and switching intention. The findings of this study provide a unified understanding of the structural relationships that contribute to increased green switching intention to the development of disconfirmation theories in the higher-education context. Implementing a green campus within Universitas Negeri Semarang, campus communities are encouraged to switch to environmentally friendly products to support green campus policies.

Waste management is a crucial issue for maintaining the environment and caring for people's health. Since a wide array of people and communities are exposed to dangers from exceeding the production and growth rate of waste, the efficiency of waste management benefits everyone. This measure requires logical and precise planning. The primary aim of this paper is to categorize waste generation management to preserve the well-being of public health, the environment, and environmental resources. Waste management with the cooperation and collective efforts of citizens, businesses, industries, and government, can continue to enhance materials' reuse, recycling the whole solid wastes resources. Reducing the excess production of materials is the primary goal of this project. It has been proved that prevention is better than remedy in most cases, thereby proposing green production as an answer. Green production, alongside cleaner production, is seeking prevention innovations, protecting the environment by analysing the flow of materials and energy throughout the manufacturing process. In this regard, this study reviews and summarizes the related research to identify proper options for minimizing the waste materials, energy, and emissions from industrial processes, through strategies for the optimal utilization and application of resources. The reviewed papers are classified into oversees the prerequisite steps for management strategies before and after waste generation. Finally, research gaps have been reported to identify areas for future study. The obtained results showed that in approaching waste, more studied materials are dedicated to waste management but not to prevention or waste minimization before its inception. Furthermore, the best manners in waste management to protect the environment are prioritized, respectively, at first prevention, secondly waste minimization, thereafter recycling the manufactured wastes to hasten the delivery to the landfills and lessen the amount of transportation. [ABSTRACT FROM AUTHOR]

● Farmer adoption of organic fertilizer and biopesticides was found to be positively correlated. ● The technical environment had a significant positive impact on farmers’ adoption of organic fertilizers and biopesticides. ● Technology training and local accessibility to new agricultural technologies enhanced both the adoption of organic fertilizers and biopesticides. ● Exchanging information about production techniques with others generally increased the likelihood of adopting organic fertilizers by 6%. Excessive application of mineral fertilizers and synthetic pesticides poses a substantial threat to the soil and water environment and food security. Organic fertilizer and biopesticides have gradually become essential technology for reducing mineral fertilizer and pesticide inputs. In the process, the technical environment is critical for promoting farmer behavior related to the adoption of organic fertilizer and biopesticides. This paper analyzes the influence of the technical environment on farmer behavior related to the adoption of organic fertilizer and biopesticides based on a survey of 1282 farmers in Heilongjiang Province, China, using the bivariate probit model. The results indicate that (1) farmer behavior related to the adoption applying organic fertilizer and biopesticides were positively correlated; (2) the technical environment had a significant positive impact on farmer behavior related to the adoption of organic fertilizer and biopesticides; and (3) the technical environment had a heterogeneous effect across different groups of farmers. This research provides insights useful for promoting organic fertilizer and biopesticides to farmers. It can be helpful to bundle relevant environmental technologies, conduct technology training for farmers and strengthen the construction of rural information networks.

The study investigates the relationship between green production, green technology, waste reduction, energy use, and sustainability. A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was used for analysis. The data was collected from a sample of companies in the textile industry. The results suggest that green production and technology positively and significantly affect waste reduction and energy use, which mediates the positive relationship between these two factors and sustainability. This study concludes that green production and technology are critical drivers of sustainability and emphasizes the need to prioritize waste reduction and energy use in sustainable manufacturing practices. The study has practical and managerial implications in all production or manufacturing industries and provides a guideline for managers and policymakers to ensure sustainability.

In this study, electrolyzed water (EW), which is being used for disinfection in various food production applications, is discussed. Today, research on green production has intensified, aiming to preserve food for a longer time, using fewer chemicals or none, in order to preserve the initial nutritional properties of the food and deliver it to the consumer. In this context, it is an undeniable fact that there is a need to improve existing methods and practices and develop new technologies for the long-term storage of foods without quality losses and health concerns. One of the methods developed for this purpose is the use of electrolyzed water in food disinfection. While the use of electrolyzed water in various stages of the food processing industry creates a relatively new field of application, many studies have focused on its antimicrobial and antioxidant activity. However, studies on the use of this method in the fish processing industry are very limited and need to be developed. Previous studies are mainly related to the antimicrobial properties of electrolyzed water and there are limited studies on the effects of seafood products on storage times (shelf life). However, in light of the studies, it is seen that electrolyzed water has potential uses for the seafood processing industry.

The implementation of green production policies (GPPs) is an important guarantee to improve the utilization of agricultural resources and adapt to climate change and plays an important role in supporting and guiding farmers. The overall goal of this study is to explore the mechanisms of the impacts of policy structure and implementation on the satisfaction of farmers with GPPs. Data analysis was based on 1180 observations collected from a field survey in Anhui Province, China, in 2021. The results revealed that the satisfaction of farmers with GPPs is not high. Policy structure affects the satisfaction of farmers with GPPs, and there are differences in the impacts of agricultural service, financial, technical, subsidy, and supervision policies. The results also showed that a positive evaluation of policy implementation by farmers can significantly improve their satisfaction with GPPs, and there are differences in the effectiveness of evaluating the support intensity, degree of promotion, policy sustainability, and implementation effect. Further analysis revealed that the impact of policy structure on the satisfaction of farmers with GPPs is transmitted through policy implementation evaluation. The impacts of policy structure and policy implementation on the satisfaction of farmers with GPPs are heterogeneous in terms of gender, age, and education. Finally, some policy recommendations are proposed to construct GPPs for farmers across the entire industrial chain, increase policy promotion efforts, ensure the sustainability of policy formulation and implementation, and consider farmers' subjective evaluations of policy implementation effects. The results of this study and the related policy recommendations can provide support for the formulation and optimization of agricultural GPPs in China and other countries. [ABSTRACT FROM AUTHOR]

In the context of increasingly severe resource and environmental constraints, accelerating family farms to take the path of green agricultural development is an urgent practical problem to be solved. The bancassurance interaction, an innovative form of financial support policy for agriculture, can effectively alleviate the risks and credit rationing problems faced by family farms in the operation process, provide new opportunities for green production of family farms, and is of great significance to promoting sustainable agricultural development. This study uses data from 564 planting family farms in Shaanxi Province to analyze the impact of the bancassurance interaction on adopting green production technology in family farms and its mechanism, paying particular attention to the heterogeneous effects of the family life cycle and family economic level. The results of this study show that the bancassurance interaction has a significant positive impact on the adoption of green production technology by family farms. Compared with agricultural credit and insurance, the effect of the bancassurance interaction on adopting green production technologies is more evident. The analysis of the impact mechanism shows that the bancassurance interaction can promote the adoption of green production technology in family farms through three channels: increasing investment in agricultural production, expanding the scale of land management, and strengthening exchanges of green technology. Among them, the effect of increasing agrarian production investment is the most pronounced. The heterogeneity analysis shows that the impact of the bancassurance interaction on the green production technology of family farms varies significantly according to the family life cycle and economic level. Family farms at the dependency stage and low-income level were more willing to adopt green production technologies driven by the bancassurance interaction. Therefore, it is necessary to continuously innovate the interaction mode between banks and insurance companies, rationally allocating agricultural production factors and combining the actual situation of each family farm to strengthen the leading role of the bancassurance interaction in adopting green production technologies and promoting high-quality agricultural development. [ABSTRACT FROM AUTHOR]

Shrimp is a vastly strategic aquaculture commodity in Indonesia, most of which is produced for the export market; hence, competitiveness is the main key in the industry. With the increasing productivity of a shrimp farming area, the regulation for establishing a shrimp culture area needs to be strictly managed, including reducing carbon emissions. The management of aquaculture areas needs to pay attention to the principle of sustainability and consider carbon dynamics. This paper contains a descriptive analysis of the literature related to the substance of the study. The carbon dynamics in aquaculture areas consist of potential sources of carbon emitted and potential sinks or carbon that can be absorbed and stored. By structuring the shrimp pond area, aquaculture engineering, the application of good aquaculture practices and use of alternative energy sources, during the shrimp farming process in ponds, the carbon emission can be minimized, and the carbon sink can be increased. Our recommendation suggests that analysis of land suitability, environmental carrying capacity and carbon dynamics in each shrimp pond area are exceptionally required to be conducted to assess land suitability as a low carbon emission shrimp farming area. Furthermore, to increase farmers' understanding and awareness of the sustainability of the practices, pilot areas for low-emission shrimp ponds need to be developed.

Dual control of energy consumption is an effective method proposed in China to launch and deepen the transition in energy use. It has obtained favorable results; however, the resource consumption and pollution emissions per unit of Gross Domestic Product (GDP) remain high. This article quantitatively studies the current policies’ effects to promote the advancement of dual control of energy consumption and develop future policies. Green production and consumption policies promote the development of dual control of energy consumption; therefore, this paper examines these policies through text mining and a quantitative evaluation system. The results suggest strong state demand for developing green production and consumption and the necessity for scientific evaluation; however, the state’s focus on the relevant policy tools is imbalanced. Constraint policy tools have the highest proportion of restricting pollutant emissions but lack comprehensiveness. Incentive and guidance policy tools have the problems of poor targets and low volume. Additionally, by constructing policy modeling consistency (PMC) index models for evaluating green production and consumption policies, six selected policies indicate solid performance, but some still have problems regarding policy timeframe, policy function, and green process. Based on the conclusions, this paper provides some targeted recommendations.

Abstract In view of the technical difficulties in the preparation of graphite intercalation compound (GIC) such as complex processes, the need to use strong acid reagents, and the product containing corrosive elements. A novel, efficient and simple method used sodium bicarbonate as intercalation agent was developed, which combined with mechanical force and chemical method for the green production of GIC. The production parameters were optimized by the single factor experiments, the optimal conditions were the ball mill speed 500 r/min for 4 h (6 mm diameter of the stainless-steel beads as ball milling media), the decomposition temperature 200 ℃ for 4 h, and 1:1 mass ratio of flake graphite to sodium bicarbonate. SEM results revealed that the prepared product appears the lamellar separation, pores, and semi-open morphology characteristic of GIC. FT-IR results indicated that the preparation method does not change the carbon-based structure, and the sodium bicarbonate intercalant has entered the interlayer of graphite flakes to form GIC. XRD results further showed that the GIC products still maintained the structure of carbon atoms or molecules, and the sodium bicarbonate intercalation agent has entered the interlayer of the graphite, and increased the interlayer distance of the layered graphite. The expandability of GIC products was studied, and the results show that it was expandable, and the expandable volume of GIC products prepared under optimal conditions has reached 142 mL/g. The theoretical basis for large-scale production was provided by studied the mechanism of the preparation method and designed the flow chart. The method has the advantages of simple process, products free of impurities, no use of aggressive reagents, process stable, and does not pollute the environment, being favorable to mass production, and provided new preparation method and idea for two-dimensional nanomaterials with preparation technical difficulties.

INTRODUCTION: The field of mechanical engineering technology is an emerging technology field with many research directions, and there are many directions of intersection with other disciplines, among which the field of mechanical engineering has outstanding research advantages. With the continuous development of mechanical engineering technology, the research direction of mechanical engineering applied to the field of mechanical engineering is also continuously enriched and developed. Mechanical engineering research focuses on realizing the monitoring and control of the dynamic performance of mechanical systems, as well as realizing the integration of design and system control. OBJECTIVES: In order to improve the disassembly efficiency, reduce the disassembly cost and disassembly energy consumption, it is optimized using social engineering methods to achieve better results and reduce the disassembly cost and energy consumption. METHODS: Aiming at the drive and anti-skid control strategy of four-wheel hub motor, it was simulated using improved social engineering algorithms, and based on this, three road recognition algorithms were selected for low, medium, and high adhesion road verification. RESULTS: Through the study of automobile anti-skid control system, the basic structure of automobile anti-skid control system is summarized and some solution measures are proposed. A new type of drive anti-skid control system is proposed for the problems of high vibration and noise of automobile brake. The drive anti-slip control system is characterized by simple structure, easy maintenance, simple control and reliable operation, and high operation efficiency. CONCLUSION: This study shows that the system not only has excellent drive anti-slip effect, but also has good control performance. In addition, this drive anti-slip system is able to ensure the safe and reliable operation of mechanical brakes in various harsh environments. This new drive anti-slip control system is a new type of drive device that can be widely used for driving force on various mechanical brakes and drive wheels, and the study of this device is of great significance.

Digital development is changing with each passing day, and the traditional manufacturing industry is gradually shifting from extensive development to intensive development, the most prominent manifestation of which is the digital transformation and development of enterprises. This paper first discusses the internal mechanism of digital transformation promoting the green development of manufacturing enterprises from three aspects: product greening, technology greening and investment greening. Then, based on the panel data of China’s listed manufacturing enterprises from 2011 to 2019, the fixed effect model, two-stage least squares method, mediating effect model and moderating effect model were used to test the relationship between them. The results show that digital transformation can promote the green development of manufacturing enterprises, and this conclusion still holds after a series of robustness tests. The empirical results of the mediating effect model show that digital transformation promotes the green development of manufacturing enterprises through three mediating paths: increasing green product output, technological innovation level and green investment level. Moreover, the promoting effect of digital transformation on the green development of enterprises will be moderated by the heterogeneous effect of environmental uncertainty. Therefore, accelerating the digital development of enterprises and promoting the construction of digital China is conducive to the green development of enterprises, and finally realizing the common development of digitalization and greening.

Under the background of tighter resource and environmental constraints, whether and how land transfer can promote the green development of agriculture has become a realistic question that needs to be answered urgently. This paper analyzes the internal mechanism between land transfer and agricultural green production by using property rights theory and sustainable development theory. Taking the data of the "investigation on household energy consumption and green agricultural development" in Sichuan Province in 2022 as a sample, it empirically analyzes the impact of land transfer on agricultural green production by using OLS and 2SLS models. The results show that: (1) land inflow significantly improves the level of agricultural green production, with a unit impact of 22.3%; (2) whereas land outflow will inhibit agricultural green production, with a unit impact of 5.46%; (3) the family's long-term agricultural labor, social capital, migrant experience, non-agricultural income, and household clean energy use have a promoting effect on agricultural green production; (4) age, education level, health level and agricultural subsidies inhibit agricultural green production; (5) the heterogeneity analysis found that the inflow of land would significantly promote the level of green agricultural production of farmers who have environmental awareness, have been village cadres, have purchased agricultural insurance, and have not suffered from agricultural disasters; (6) agricultural training, farmers' digital literacy, and agricultural related loans have a positive and strengthened regulatory role in the impact of land transfer on agricultural green production. Based on this, this paper gets policy enlightenment from the government, market, and farmers. [ABSTRACT FROM AUTHOR]

Minimal participation in green agricultural development may be achieved via the conventional integration of agriculture and tourism, which has a minimal impact on farmers' green output. New traits have emerged as a result of agro-tourism integration with digital empowerment. It was shown that agro-tourism integration with digital empowerment had a stronger impact on farmers' green output than traditional agro-tourism integration, based on the construction of the dynamic information game model and the case of Xichong, Sichuan. The integration of agriculture and tourism from the perspective of digital empowerment is characterized by "data traceability" and "information diffusion", which restrains opportunistic farmer impersonation. The feature of "knowledge sharing" promotes the progress of agricultural technology, reduces the cost of green production and increases the probability of farmers producing high-quality agricultural products. The "information matching" feature promotes the symmetry of quality information, and production and sales information at both ends of supply and demand, and raises the prices of high-quality agricultural products. The latter two features jointly enhance the willingness of honest farmers to produce green items by reducing the cost of green production and increasing the prices of high-quality agricultural products. From the perspective of digital empowerment, the integration of agriculture and tourism can further promote farmers' green production by effectively suppressing opportunistic farmers' fake behavior and promoting honest farmers' green production to a greater extent. [ABSTRACT FROM AUTHOR]

The quality and safety of agricultural products is very important for farmers' professional cooperatives. This study incorporates the government, farmers' professional cooperatives and farmers into the evolutionary game model to explore the game relationship and evolutionary path of decision-making among the three parties related to the quality and safety of agricultural products. Through the dynamic analysis of decision-making replication, the analysis of strategy evolution stability and the verification of numerical simulation experiments, it is shown that the decision-making behavior of the government, farmers' professional cooperatives and farmers under the conditions of agricultural product quality and safety is the result of the game between three stakeholders; the government, farmers' professional cooperatives and farmers The evolution process of the decision-making behavior to the ideal state is affected by many factors, and the value ranges of different factors have different effects on the convergence speed of the three stakeholders to the ideal state; when certain conditions are met, the government, farmers' professional cooperatives and farmers' three The decision-making behavior of each stakeholder can evolve into an ideal state, and effective government supervision can promote the cooperatives to manage the green production of farmers, and then effectively encourage farmers to take the initiative in green production. In order to provide useful suggestions for the government to make safety supervision decisions, to effectively manage cooperatives, and to stimulate active green production behaviors by farmers.

To meet the increasing consumer demand for green products and services, governments have increased their regulation of enterprise production behaviors so that enterprises may choose "greenwashing" to obtain the premium of green products at the lowest cost under government regulation. The increase of greenwashing hinders green innovation by enterprises. To quantify this problem and seek solutions to promote enterprises cleaner production and sustainable development, we established a tripartite evolutionary game model for enterprises, consumers, and governments. Using the model, we analyzed the stability of their strategy combinations through simulations and explored the impact of some parameters on the strategy selection. We found that (1) the combination of enterprises adopting true green, consumers buying green products, and weak government regulation was the most environmentally friendly and low-cost strategy solution in the tripartite game system. (2) An increase in government penalties or subsidies to enterprises, as well as a reduction of the extra cost of producing green products, can improve the probability that enterprises will adopt cleaner production. Based on the results, the government should define reasonable subsidies and penalties, guide enterprises to assume their social responsibility, and stimulate consumer green demand. Enterprises should improve their moral qualities, actively engage in green innovation, and increase investment in green product research to guide the game system towards the ideal state. [Display omitted] • A tripartite evolutionary game model considering consumers to analyze greenwashing. • Sensitivity analysis of the parameters related to both external and internal factors. • Propose measures of governments and enterprises to discourage greenwashing. [ABSTRACT FROM AUTHOR]

[Display omitted] • Comparative analysis of the emerging cellulose nanocrystal extraction methods. • Eco-friendlier methods use low-acidity, low-toxicity chemicals for enhanced sustainability. • Energy consumption is the most sensitive and uncertain factor. • Heat integration and by-products recovery for energy generation mitigate carbon footprint. Concerted endeavors are presently in progress to discern eco-friendlier methods for cellulose nanocrystals (CNC) production, negating the conventional reliance on hazardous concentrated sulfuric acids. Despite the proliferation of methods purported to be environmentally sound, their assertions often lack rigorous scrutiny, relying on theoretical postulations. This study presents the first prospective glimpse into their environmental performance utilizing a life cycle assessment (LCA) methodology from cradle-to-gate. The results transpired that many of the vaunted environmentally-friendly methods resulted in higher environmental loads compared to the traditional method, due to lower conversion rates and higher reaction energy demand. Notably, only specific methods demonstrate lower endpoint impact scores, including deep eutectic solvent extraction (−48 %), ammonium persulfate-assisted oxidation (−62 %), sulfuric acid hydrolysis in glycerol medium (−56 %), and enzymatic hydrolysis (−40 %). Their primary green attributes associate with the utilization of solvents carrying lower climate impact and toxicity level. The reaction stage carries the heaviest burden due to the increased energy required to counteract modest reactivities of the milder solvents. As mitigation strategies, heat integration and by-product recovery for energy generation were explored, resulting in emission reductions of 11–26 % and 41–68 %, respectively, across the proven eco-friendlier methods. This study comprehensively validated a roster of genuinely green candidates, offering a more sustainable prospect than traditional methods and paving the way for large-scale green CNC production. [ABSTRACT FROM AUTHOR]

• A mathematical inventory model for a supply chain system with stochastic demand. • Two types of production facilities are considered: regular and green. • An algorithm is presented and its application is validated with a numerical example. • By controlling the production rate flexibly, the supply chain can lessen the emissions and maintain the total cost. In this study, a mathematical inventory model for a supply chain system made up of a vendor and a buyer under stochastic demand is formulated. The vendor serves as a manufacturer who produces items, while the buyer serves as a retailer who buys the items from the vendor and sells them to end customers. In addition to utilizing regular production as a production base, the vendor also uses green production. Green production adopts green technology, which comprises environmentally friendly inventions that are used to reduce emissions. Green production is more costly than regular production, but it generates lower emissions. The production rate is adjustable, which enables decision makers to control the emissions and production cost. The objective of this study is to find the optimal production allocation, ordering quantity, shipment frequency, safety factor, and production rate such that the joint total cost is minimized. An algorithm is suggested to solve the mathematical problems and its application is validated with a numerical example. The results show that the changes in the emissions, carbon tax, and production cost parameters exhibit significant effects in determining the optimal production allocation. Furthermore, by controlling the production rate flexibly, the supply chain can lessen the emissions released during production and maintain the total cost. Finally, a sensitivity analysis is carried out to explain the usage of the proposed model. [ABSTRACT FROM AUTHOR]

Cleaner production (CP) has emerged as a new concept to cope with the astronomical environmental degradation associated with the expanding scope of industrialization. We conducted a review of the scientific data on the conceptualization of "cleaner production" using published documents from the 2011–2021 period. Data were extracted from the CNKI and WOS databases—two major databases based in China and the United States, respectively. Citespace software was used to track the developmental process and trend of future research on cleaner production. We report the following findings: (1) While the literature on cleaner production in CNKI is decreasing, the literature in WOS has been increasing annually. (2) Even though clear instances of different research priorities exist between WOS and CNKI, the research problems addressed in the two databases, however, are mostly common. In terms of research collaboration, WOS is more likely to accept papers with cross-institutional authorship. The study further identified that there is no aggregation effect between Chinese research institutions. (3) In WOS, the Journal of Cleaner Production is the most popular journal for researchers, and in CNKI the Chinese Journal of Agricultural Resources and Regional Planning leads in CP publications. (4) Regarding the research hotspots, there are obvious differences between WOS and CNKI. Finally, we put forward the future prospects for cleaner production research. [ABSTRACT FROM AUTHOR]

Significant number of producers and manufacturers are realizing substantial financial and environmental benefits from sustainable/greener business practices. Sustainable production and manufacturing are the creation of manufactured products through economically-sound processes that minimize negative environmental impacts while conserving energy and natural resources. Sustainable manufacturing also enhances employee, community, and product safety. The aim of the paper is to provide the right information about using scheduling tools such as Advanced Planning and Scheduling tools to improve lead times, optimize constraints by this reduce waste time and lower emissions produced by producing the waste. This paper deals with problematic of production optimization and its impact on production efficiency. [ABSTRACT FROM AUTHOR]