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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]

In this study, panel data analysis methods are used to investigate the effects of sustainable development (HDI) and renewable energy consumption (REN) on green production (CO2) in MIST (Mexico, Indonesia, South Korea and Turkey) countries using data from 1990-2021. In the analysis using the CIPS unit root test, all series were found to be stationary at first difference and cointegration relationship was determined by LM Bootstrap cointegration method. The coefficients of the model are estimated with the AMG method and finally, the analysis is completed with Dumitrescu & Hurlin (2012) panel causality test. Statistically significant results are obtained for the whole panel and for each country, where HDI and REN decrease CO2, while GDP and non-renewable energy consumption as control variables increase CO2. The impact of sustainable development on green production is found to be much higher than the impact of renewable energy. In addition, a causality relationship was found from each of the independent variables to the dependent variable (CO2), either directly or indirectly through other variables. [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]

Smart manufacturing has boosted the wide application of mobile robots in robotic cells for automated material delivery. However, the mismatching between machine production process and robot movement process causes extensive energy waste. Nevertheless, most existing robotic job-shop scheduling (RJSP) studies mainly focus on minimising makespan but overlook the low energy efficiency problem faced by robotic cells. Motivated by the importance of green smart manufacturing, in this study, we innovatively propose to achieve robotic cell energy saving through coordinating the machine production process and robot movement process. Specifically, both machines and the mobile robot can flexibly adjust operating speeds with a V-scale speed framework. Two novel energy-efficient RJSP approaches (i.e. the RJSP-E and the RJSP-EM) are thus proposed. The RJSP-E focuses on minimising energy consumption, while the RJSP-EM simultaneously considers makespan (i.e. productivity) and energy consumption. Through computational experiments, the RJSP-E demonstrates superior performances in reducing energy consumption (15% on average), at a loss of productivity (20% on average). On the other hand, the RJSP-EM can select the most suitable energy-saving operating speeds without much sacrifice in productivity. Notably, the RJSP-EM can reduce energy consumption by a mean of 10% even without increasing makespan. The RJSP-EM also demonstrates higher solution efficiency. [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.

Purpose: Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA. Design/methodology/approach: The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research's conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella. Findings: Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC. Originality/value: Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA. [ABSTRACT FROM AUTHOR]

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]

Buffer allocation, which is an important research topic in manufacturing system design, typically focuses on system performance and cost. However, few previous studies have been performed to investigate energy-saving buffer allocation, which can decrease operational energy consumption in green manufacturing. Furthermore, the computational efficiency of solving the buffer allocation problem requires further investigation. This paper proposes a data-driven hybrid algorithm based on multi-evolutionary sampling strategies for solving energy-saving buffer allocation that can maximize the throughput rate and minimize energy consumption. Two evolutionary sampling strategies, that is, global search and surrogate-assisted local search, are integrated to balance exploitation and exploration. In addition, a database containing historical data pertaining to buffer allocation solutions is used to develop surrogate models that can rapidly predict the throughput and energy consumption and improve the evaluation efficiency of the local search strategy. Experimental results demonstrate the efficacy of the proposed algorithm. This study contributes to an efficient buffer allocation and presents a new perspective on energy-saving measures for green manufacturing designs. [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]

Tuning the charge density at the active site to balance the adsorption ability and reactivity of oxygen is extremely significant for driving a two‐electron oxygen reduction reaction (ORR) to produce hydrogen peroxide (H2O2). Herein, we have highlighted the influence of intermolecular polarity in covalent organic frameworks (COFs) on the efficiency and selectivity of electrochemical H2O2 production. Different C3 symmetric building blocks have been utilized to regulate the charge density at the active sites. The benzene‐cored COF, which exhibits reduced polarity than the triazine‐cored COF, displayed enhanced performance in H2O2 production, achieving 93.1 % selectivity for H2O2 at 0.4 V with almost two‐electron transfer and a faradaic efficiency of 90.5 %. In‐situ electrochemical Raman spectroscopy and scanning electrochemical microscopy (SECM) were employed to confirm H2O2 generation and analyze spatial reactivity patterns. These techniques provided detailed insights into localized catalytic behavior, emphasizing the influence of core polarity. [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]

The research examined the effect of top management commitment (TMC) on operational performance and the mediating effect of green production. The study selected 219 manufacturing companies of Iraq. The result analyzed the direct effect of TMC on green production and operational performance. Also, the effect of green production on operational performance is analyzed. In addition, the mediating effect of green production between the association of TMC and operational performance analyzed. So, the direct and also indirect results found in the study were significant. This finding offers crucial understanding for managers in the manufacturing business, indicating that a strong commitment from top management and the use of green production may improve operational performance. Moreover, this study expands on the findings of prior research about the correlation between TMC and GP in enhancing OP. Therefore, this study enhances the existing research in Structural Equation Model (SCM). [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]

The government, enterprises, and consumers play an important role in the realization of the “dual carbon” goal. However, the relationship between consumer behavior and this goal has not received sufficient attention. Based on theories related to green consumption, this paper analyzes the internal psychological factors of consumers and external influencing factors and constructs a tripartite evolutionary game model involving the government, enterprises, and consumers. The findings are as follows: (1) If the consumer’s price sensitivity coefficient is either too high or too low, it does not favor the evolution of consumer behavior towards green consumption, nor does it encourage enterprises to adopt green production practices. In such scenarios, government regulation and the provision of green subsidies to consumers and enterprises might be more effective. (2) The larger the green preference coefficient of consumers, the more likely they are to opt for green consumption, which in turn accelerates the shift of enterprises towards green production. In this situation, a robust supply and demand market for green products can effectively alleviate the pressure of environmental regulation. (3) The government’s “dual carbon” policy publicity prompts consumers to choose green consumption and enterprises to choose green production. (4) Government subsidies to enterprises and to consumers both encourage enterprises to choose green production and consumers to choose green consumption. The results of this study provide enlightenment on the development of the green product market and the achievement of the “dual carbon” goal. [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]

Based on data for 812 Chinese farmers and a conditional mixed process (CMP) approach, this paper investigates the impact of farmers' e-commerce participation on their awareness of green production. Main results include: (1) e-commerce participation increases farmers' overall awareness of green production by 0.771 (i.e. 0.88 standard deviations); meanwhile such impact is more evident for old-generation, low-income and small-scale farmers; (2) risk awareness is most affected among three sub-dimensions; (3) three influencing channels are confirmed, which are improving information acquisition, strengthening connections with the food market, and alleviating information asymmetry. This paper concludes that e-commerce can play a significant role in promoting the green transition of farmers and agricultural production. As for implications, policymakers need to further promote e-commerce in agriculture while building a more solid food system, including green food certification and a full chain traceability system. However, farmers' heterogeneities should be considered when any intervention is proposed. [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]

This paper mainly introduced the principle of mechanical activation, the application of mechanical activation in slow-release fertilizer, effect factors of mechanical activation on the characteristics of fertilizer, and the green evaluation methods of mechanical activation were reviewed.And the future research direction of mechanical activation was prospected, in order to provide reference for the realization of green production and efficient application of mechanical activation in fertilizer. [ABSTRACT FROM AUTHOR]

In recent years, the importance and use of wet-white tanning technology have increased due to the increase in environmental and health concerns. On the other hand, this technology still has problems related with fixation of dyestuff and fatliquoring agents during wet-end processes. In this study, the effect of the use of different commercial amphoteric retanning agents in different ratios on dyestuff consumption was investigated. For this purpose, amphoteric polymers were used at the beginning of dyeing process of syntan tanned leathers and the concentrations of remaining dyestuff after the process have been measured using UV-Vis Spectrophotometer for each trial. From the results it was concluded that the use of amphoteric polymers in retanning of wet-white tanned leathers significantly decreased the remaining dyestuff in the floats. Also, the physical and mechanical properties of the final leather were not adversely affected up to the use of 6 wt% the amphoteric polymer. [ABSTRACT FROM AUTHOR]

Copyright of Cotton Textile Technology is the property of Cotton Textile Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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.

Due to the increasing pressure on environmentally friendly approaches and sustainable production processes, the textile dyeing industry has focused on natural colorants. Thus, the use of bio-mordants, which are biological materials, has become widespread as an alternative to metal salts, most of which are non-ecological, used in the application processes of natural colorants. In natural dyeing, dyers want to use mordant substances in the dyeing processes in order to both expand the color spectrum and improve the fastness properties. Conventional metal salts used in natural dyeing are made up of metallic ions, which, when released into the environment as wastewater effluent at the end of the dyeing process, cause major damage to the ecosystem. Many researchers have thought about using mordants derived from natural sources to address the environmental problem. This article is a review of the investigation of natural mordants used instead of metallic mordants in the process of coloring various textile materials with natural dyestuff sources. It has been determined that many substances, most of them herbal materials, are used as mordants. In this review, mordants, except for conventional metal salts, are examined under three main groups for a better understanding. These groups are as follows: (i) natural or bio-mordants, (ii) oil mordants, and (iii) new-generation and non-vegetable-based mordants. Here, researchers will find an overview of the most recent developments in green mordants as well as application techniques for a variety of mordants. [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. [ABSTRACT FROM AUTHOR]

Guiding facility vegetable growers to realize green transformation is the key to ensuring the safety of the 4 vegetable basket' of a country. Nevertheless, the scattered production of vegetables in facilities in China is not easy to supervise by the government and consumers, and the illegal use of chemical fertilizers and pesticides by farmers prevails. It is difficult to achieve the above goals only from the production side. To this end, starting from the sales side and based on the micro-survey data of five cities and 11 counties in Shandong Province, this study used propensity score matching and an intermediary model to examine the impact of e-commerce participation on the green production behavior of vegetable growers in facilities. The results showed that:① The probability of green production behavior adopted by vegetable growers participating in e-commerce was 23.7% higher than that of farmers not participating in e-commerce. The conclusion was still valid after the endogeneity was controlled by the instrumental variable method. From the perspective of participation intensity, high-intensity participation could better improve the green production level of facility vegetable growers than low-intensity participation could. From the perspective of participation mode, platform e-commerce had a stronger effect on the green production behavior of facility vegetable growers than social media-based e-commerce.② The heterogeneity analysis found that crop category, operation scale, and risk preference would lead to the differentiation of impact effects, and participation in e-commerce had a particularly significant impact on the green production behavior of medium-scale, risk-preference, and root and tuber facility vegetable growers.③ Mechanism analysis found that price expectation incentive, transaction cost saving, information access convenience, and quality reputation evaluation were the intermediary channels for participating in e-commerce to affect the green production behavior of vegetable growers, and the intermediary effect accounted for 20.48%, 16.60%, 8.28%, and 10.63%, respectively. Therefore, it is proposed that selling facility vegetables through e-commerce channels should be encouraged, and participating in e-commerce in a diversified manner should be increased. In the process of e-commerce promotion, it is necessary to comprehensively consider crop category, operation scale, risk preference, and other group heterogeneity characteristics to develop differentiation strategies. The improvement of the price incentive mechanism and transaction cost-saving mechanism of green facility vegetables should be highlighted. Measures should be taken to broaden the information access channel of farmers, and close attention should be paid to the feedback of consumers quality evaluation. [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]

Copyright of China Rubber Industry is the property of Editorial Office of China Rubber Industry and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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]