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Wetlands are of global importance in providing essential ecosystem services but are also sensitive to climate change and human activities. Monitoring and assessing wetland vulnerability are crucial for ecological conservation and management strategies. However, the framework of wetland vulnerability assessment and the underlying mechanisms have not been well studied. In this study, the spatiotemporal variations in wetland vulnerability on the Qinghai‒Tibet Plateau (QTP) between 1990 and 2020 were investigated based on the ecosystem pattern-process-function framework. The key driving factors were identified by partial least squares structural equation modelling (PLS-SEM) and multiscale geographically weighted regression (MGWR) models. Our results showed that the wetland ecosystem pattern index (EPI), ecosystem process index (EPOI), ecosystem function index (EFI), and wetland vulnerability index (WVI) all demonstrated an increasing pattern from northwest to southeast. Between 1990 and 2020, the mean WVI values gradually decreased from 0.616 to 0.588, indicating a steady improvement in the wetland ecosystem on the QTP. Rapid urbanization increased the EPOI, while rugged topography increased both the EPI and EPOI, and the increase in hydrological abundance enhanced the EFI, which in turn contributed to an increase in the WVI. Conversely, climatic conditions led to a reduction in the EPI, which in turn resulted in a significant decrease in the WVI. Therefore, although urbanization and topographical and hydrological factors have somewhat exacerbated the WVI on the QTP, variable climatic conditions have driven the decline in wetland vulnerability in the last three decades. Furthermore, our results indicated that the proposed framework could provide a comprehensive approach for wetland vulnerability assessment and useful implications for wetland conservation and management. [Display omitted] • An ecosystem pattern-process-function framework was proposed to evaluate wetland vulnerability. • Wetland vulnerability index (WVI) decreased from 1990 to 2020 on the Qinghai-Tibet Plateau (QTP). • Urbanization, topographic and hydrological factors have exacerbated the WVI on the QTP. • Variable climatic conditions dominated the decreased WVI during the last three decades. [ABSTRACT FROM AUTHOR]

Many factors affect the adoption of the mandatory technology of effluent treatment plants for pollution management in Bangladesh. Some of these factors could also affect the adoption of voluntary environmental standards. Therefore, it is important to identify and analyze the importance of these key factors, considering their role in enhancing environmental performance in crucial industries for the country's economy. In this study, a literature review preceded an analysis of factors through structural equation modelling to investigate how attributes of the regulatory agency combine with market aspects to influence environmental practices such as the adoption of mandatory ETP and voluntary certifications. Using official quarterly data, the results of this study show that access to green finance and the number of employees of the regulatory agency significantly affect the adoption of additional ETPs. On the other hand, the size of fines for pollution does not significantly affect the adoption of ETPs. It was also found that green finance and additional ETP adoption also increased the adoption of green factory buildings, which is a voluntary exercise. This study sheds light on the underlying relationships that can guide ongoing multilateral interventions to enhance capacity of regulatory agencies to implement environmental regulations. It also provides new evidence to formulate relevant strategies for enhancing environmental performance by scaling up green finance. • Regulatory fines were found to have no significant effect on technology adoption. • Green finance affects adoption of treatment plants and voluntary certifications. • Constructing new effluent treatment plants does not significantly affect exports. • However, possessing voluntary certifications significantly increased exports. [ABSTRACT FROM AUTHOR]

Attribution of groundwater recharge (GR) change is important for understanding subsurface hydrological processes and managing regional groundwater resources. Despite vegetation change directly influencing GR, its indirect effects are mostly incorporated into other effects because of multicollinearity in environmental factors. Taking the 59 hydrological stations from 13 basins in the Loess Plateau of China as an example, GR was estimated with daily streamflow data and recession-curve-displacement method for 1961–2019. Geographical detector was employed to qualitatively attribute the spatial variability of GR, while structural equation modeling and elasticity coefficient method were utilized for qualitative and quantitative analysis of the direct and indirect impacts of environmental factors on the temporal variation of GR. The annual mean GR in 13 basins ranged from 11 to 53 mm/year, and the spatial heterogeneity of GR can be well explained by loess thickness. GR significantly decreased in 68% of hydrological stations by 38% ± 15%. Averaged over the 13 basins, the direct and indirect effects of NDVI change respectively accounted for 10% and 48% of GR reduction, which greatly exceeded other factors. The indirect effects of vegetation change dominated GR change, but they were getting smaller with increasing latitude. This study highlights the importance in considering indirect effects of vegetation change in hydrological variability, and the results can improve the understanding of hydrological variability. [ABSTRACT FROM AUTHOR]

The global market for innovative food technologies is expanding. 3D-printed food is one such technology, presenting benefits such as personalized nutrition and optimized use of food resources, which can reduce waste. This study explores the factors that influence consumer acceptance of 3D-printed food in Japan, offering essential insights for developing market strategies. We conducted a survey among Japanese residents and developed a consumer acceptance model using structural equation modeling. This model emphasizes the significant influence of social media usage, environmental consciousness, perceived benefits, and interest in innovative foods on the intention to purchase 3D-printed food. Our results indicate that a strong affinity for information through social media can heighten environmental awareness and perceived benefits, leading to increased purchase intent. Furthermore, an interest in new foods can boost the intention to buy 3D-printed food. Notably, environmental consciousness can indirectly affect acceptance through perceived benefits. The potential to reduce food loss may appeal to environmentally conscious consumers. Based on these findings, we recommend that future marketing strategies for 3D-printed food in Japan underscore its environmental advantages and utilize digital media to improve consumer acceptance. [ABSTRACT FROM AUTHOR]

The implementation of the circular economy in companies undoubtedly requires a transition of their business systems towards more environmentally oriented ones. However, there is a lack of empirical research on the topic in the micro-level. Based on a sample of 404 managers with positions of responsibility in SMEs that are in transition towards a circular economy, this paper analyses at the micro level, through the use of structural equation modelling, how internal and external drivers contribute to this transition process and, at the same time, how the process itself impacts the resilience of the company and, consequently, its transformation process. The obtained results contribute to the literature by observing that internal factors carry more weight than external factors when implementing the CE transition. They illustrate how resilience derived from the CE transition can foster transformative change and demonstrate the CE's impact beyond environmental sustainability, extending its influence into strategic management and organizational fields. [ABSTRACT FROM AUTHOR]

The circular economy serves as a dynamic force for sustainability, emphasizing energy conservation, enduring design, and recycling, all while prioritizing value creation. Aligned with the comprehensive triple bottom line framework, encompassing environmental, social, and financial dimensions, circular economy initiatives hold the promise of substantial organizational benefits. This research, deeply rooted in systems thinking, investigates the pivotal role of social value in achieving organizational objectives. Employing structural equation modeling, a serial mediation model is meticulously crafted based on a cross-sectional online survey conducted among small and medium-sized enterprises in Turkey. The findings bring to light mutually reinforcing relationships among triple bottom line dimensions, accentuating the positive mediating mechanisms between social value initiatives and organizational performance. This study significantly advances our understanding of social value, circular economy practices, and sustainability within the context of Turkish SMEs. The practical implications of this research provide valuable guidance for organizations navigating the realms of social and environmental responsibility. Through the implementation of diverse strategies, organizations can adeptly integrate and manage the multifaceted aspects of the triple bottom line, culminating in favorable outcomes and the cultivation of triumvirate elements that augment organizational performance. • Demonstrates how circular economy enhances value creation in Turkish SMEs. • Emphasizes SME transformation through circular economy and digital integration. • Explores environmental impact on triple bottom line performance metrics. • Advocates for place-based circular economy integration in SMEs' strategic objectives. [ABSTRACT FROM AUTHOR]

The study assessed the direct effect of organisational sustainability on firm performance. The moderating role of control environment in the nexus amidst organisational sustainability and performance was also examined. Survey and cross-sectional research designs were adopted. SMEs in all the regions in Ghana formed the population. Structured questionnaire was used to collect data. 384 SMEs formed the sample size. Data was analyzed using structural equation modeling in Amos (v.23). The three dimensions of sustainability were found to influence SMEs performance. Moreover, control environment was found to moderate the nexus between the three dimensions of sustainability and performance. It is recommended that management of SMEs should improve organisations' control environment. It is recommended that although there are no specific and detailed governance principles for SMEs in Ghana, managers of SMEs should apply governance principles such as upholding integrity and honesty, and understanding and accepting their responsibilities. • SMEs are generally undercapitalized and resource-constraint to adopt practices outside their core objective. • Social sustainability has significant negative effect on SMEs performance. • Social sustainability directs resources meant for shareholders to the society. • The presence of control environment will reduce the negative effect of social sustainability on firm performance. [ABSTRACT FROM AUTHOR]

Identifying the level of household resource efficiency and its determinants is paramount, given its significant implications for resource governance and national-scale domestic resource planning. This study assesses household resource efficiency in China from 2016 to 2020, employing a super-SBM model alongside three waves of nationally representative longitudinal data. The investigation further delves into the intricate dynamics connecting household income, consumption propensity, and resource efficiency, utilizing maximum likelihood and structural equation modeling (ML-SEM) with dynamic panel data. Findings reveal an overall decrease in household resource efficiency levels, accompanied by diminished variation among surveyed households. Notably, a noteworthy non-monotonic relationship between household income and resource efficiency emerges, confirming a U-shaped pattern. Additionally, consumption propensity exhibits a negative influence, a trend that is further accentuated by increasing income, on household resource efficiency. These insights shed light on the complex interplay between household income, consumption, and resource efficiency, advocating for targeted policies to enhance resource management within households and on a national scale. • A measurement of household resource efficiency with light data requirement was proposed. • A dynamic panel model with three waves longitudinal survey data was applied. • The household resource efficiency has concentrated at a lower level. • The household resource efficiency is strongly persistent year over year. • A U-shaped relationship between household income and resource efficiency was confirmed. [ABSTRACT FROM AUTHOR]

The serious contamination of cadmium (Cd) in sediments has become an urgent environmental problem. Quinones mediated dissimilatory iron and manganese reduction widely occurs in sediments, this process may enhance Cd immobilization by promoting production of secondary minerals. Nevertheless, the enhancing effect of Cd immobilization is still poorly understood. Here, 9,10-anthraquinone-2,6-disulfonic acid (AQDS) was used to facilitate the microbial reduction of iron and manganese oxides by Geobacter metallireducens GS-15, and its effects on Cd species was investigated. Compared to goethite (FeOOH), microorganisms preferentially reduced birnessite (MnO 2) due to more dramatic interfacial electron transfer between birnessite and AQDS. AQDS thus significantly enhanced microbial reduction of iron and manganese coexisted minerals as well as Cd2+ immobilization. After 80 days, an impressive 83% of reducible-Cd appeared in the FeOOH–MnO 2 -AQDS group, demonstrating the most effective Cd immobilization. Furthermore, XANES results suggested that AQDS promoted the increase of vivianite-Cd in secondary minerals in MnO 2 -AQDS and FeOOH–MnO 2 -AQDS groups. Based on the structural equation model, HCl-extracted Fe(II) indirectly affected the increase of reducible-Cd mainly through vivianite-Cd. The AQDS enhancement on microbial reduction of iron and manganese oxides promotes the recrystallization of secondary minerals and the immobilization of Cd, offering a promising strategy for the remediation of Cd-contaminated sediments. [Display omitted] • AQDS enhanced microbial reduction of coexisted Fe and Mn oxides and Cd2+ immobilization. • The increase of vivianite-Cd promoted the immobilization of dissolved Cd2+. • Reducible-Cd increased through formation of vivianite-Cd due to HCl-extracted Fe(II). [ABSTRACT FROM AUTHOR]

The promotion of safe production practices among family farms is of significant importance for ensuring food security, protecting the ecological environment, and achieving the "dual-carbon" goals. This article selected micro-survey data from family farms in Jiangxi Province and, based on the SOR theory, utilized a structural equation model to empirically investigate the impact of different types of government regulations on the safe production behaviors of family farms. It also explored the mechanisms of personal benefit perceptions and social benefit perceptions in this process. The results indicated that: (1) Apart from government punitive regulations, government normative, incentive, and service regulations not only directly influence the safe production behaviors of family farms but also indirectly promote the adoption of safe production behavior through benefit perceptions. (2) In terms of overall impact, the order of influence of various government regulations on the safe production behaviors of family farms is as follows: normative regulations > service regulations > incentive regulations. (3) In terms of direct impact, normative regulations have the greatest promoting effect on safe production behaviors, while service regulations have the smallest promoting effect. (4) In terms of indirect impact, social benefit perceptions have a stronger mediating effect in the influence of government regulations on safe production behaviors. To comprehensively promote the adoption of safe production behaviors by family farms, it is necessary to increase the intensity of government regulations and focus on enhancing the benefit perceptions of family farm operators. [ABSTRACT FROM AUTHOR]

The study's primary purpose has been to examine the association between Green Digital Transformational Leadership, Green Digital Mindset, and Green Digital Transformation Under Varying Permutations of Organizational Green Digital Culture. Using the Stimuli-Organism-Response theory and the transformational leadership theory as the underpinning theoretical frameworks, the direct, indirect, and moderated roles of in effectuating have been investigated. After performing PLS-based structural equation modeling on the data collected from 240 respondents approached via LinkedIn, a direct as well as indirect positive linkage between Green Digital Transformational Leadership, Green Digital Mindset, and Green Digital Transformation has been empirically substantiated, emphasizing the importance of Green Digital Transformational Leadership in enabling Green Digital Transformation through the cultivation of an ecologically aware mindset among their followers. The significant positive moderation effect of Organizational Green Digital Culture on the Green Digital Transformational Leadership - Green Digital Mindset relationship reveals that the nurturing of an effective Organizational Green Digital Culture could amplify the instrumentality of Green Digital Transformational Leadership in maturing Green Digital Mindset among the followers, which has been regarded as an essential precursor for Green Digital Transformation. Besides expanding the body of knowledge by offering rare insights into the interplay among Green Digital Transformational Leadership, Green Digital Mindset, and Green Digital Transformation, the newfangled model provides significant implications for the organizations'', teams', and/or leaders' pursuits of capacitating green digital transformation through the culmination of green digital mindset among the followers, and the cultivation of an enabling green digital culture. [ABSTRACT FROM AUTHOR]

The relationship between Lean Manufacturing (LM) practices and their impact on Social Sustainability (SOS) remains an area that warrants further investigation, especially in developing countries and industrial sectors with a high level of manual work in which there are many occupational diseases, where well-being is required by labor laws, such as Mexican maquiladora (MM) companies. Recognizing this research gap, this study explores and assesses the influence of LM practices on MM's SOS. The study proposed and evaluated a structural equation model (SEM) with eight hypotheses tested statistically using information obtained from 411 responses to a questionnaire distributed across the MM. WarpPLS software (version 8.0) was employed to validate the SEM and STELLA ARCHITECT V3.0.1, to evaluate a system dynamics model to simulate the longitudinal behavior of LM practices on SOS. The findings underscore the critical role of the 5 S methodology in facilitating the adoption of practices, such as Total Productive Maintenance, Quick changeover, and One-piece Flow, exhibiting positive repercussions on SOS. Notably, the study's estimates suggest a timeline of approximately 6.5 years to attain 100% implementation of these tools, while achieving complete SOS may extend to approximately 11.75 years. It is imperative to approach these projections cautiously, because of the dynamic nature of business environments, wherein unforeseen alterations may significantly influence these timelines. These estimates offer valuable insights into the potential temporal dynamics of LM practices and SOS implementations in industrial contexts. • One piece flow has a high impact on social sustainability. • 5 S is a precursor for total productive maintenance. • TPM facilitates the quick changes and one-piece flow implementation. • Social sustainability must be a long-term project investment. • 5 S is the tool that reaches optimal levels the fastest. • Companies need to determine the optimal acceptable level for social sustainability. [ABSTRACT FROM AUTHOR]

The global agenda to move societies towards a more sustainable course of development also affects the lives of older people in our ageing populations. Therefore, it is important to understand the drivers, intentions and behaviours concerning sustainability among older adults. The aim of this study is to translate and cross-culturally validate an existing instrument (SustainABLE-16 Questionnaire), developed in the Netherlands, which measures how older people view the theme of environmental sustainability in their daily lives, for use in Romania, Poland, North Macedonia and Israel. The SustainABLE-16 covers three domains: 1) Pro-environmental behaviours; 2) Financial position; and 3) Beliefs. The scale was translated in Romanian, Polish, Macedonian, Albanian and Hebrew. Its 16 items were appraised for relevance by older people and experts in the field. A total of 2299 older people, including the original Dutch respondents, were included for the assessment of the level of measurement invariance across six languages, spoken in five countries. As the initial validation of the SustainABLE-16 did not meet internationally-recognised fit requirements, the shorter SustainABLE-8 was validated instead. This instrument proved valid for use in all participating countries (configural validity). Subsequently, increasingly constrained structural equation models were applied to test their fit with the data, ensuring that the fit did not deteriorate. The test results of measurement invariance across the countries indicated that items were stable, achieving partial scalar invariance, with five items demonstrating full scalar invariance. The shorter SustainABLE-8 functions uniformly across all language groups and can, therefore, be used to evaluate sustainable practices among older people. A better understanding of the drivers and practices among older citizens across Europe could, in turn, feed into more fitting public policies on sustainability in the built environment. [ABSTRACT FROM AUTHOR]

The escalating magnitude of electronic garbage (e-waste) poses significant challenges for individuals, communities, and businesses within the economy. The global accumulation of electronic waste (e-waste) is increasing, accompanied by a lack of sustainable disposal methods due to the limited implementation of Circular Economy (CE) principles such as recycling and responsible resource exploitation. While there has been an observed increase in environmental awareness among individuals over the past decade, particularly among the demographic known as "Millennials," there is a dearth of study pertaining to their electronic trash disposal practises. Furthermore, there is a need to investigate the influence of external factors such as Electronic word of mouth (eWOM) and perceived Usage of Online collection portal. Consequently, the present study has put forth a theoretical framework in order to investigate the perceived behavior of millennials towards the disposal of electronic trash (E-waste). The purpose of the theory of planned behavior (TPB) is to anticipate the perceived e-waste disposal behavior of millennials. This objective was empirically tested using a sample size of 305 respondents using structural equation modelling. The results indicate a positive correlation between millennials' intentions to dispose of e-waste and their attitude, subjective norms, and perceived behavioral control. The emergence of electronic eWOM has been recognized as an important factor in earlier research. In this study, we have examined the moderating influence of eWOM on E-waste disposal behavior. However, our findings suggest that eWOM has a major impact solely on the attitudes of millennials. Moreover, the influence of the online collecting site exhibits a substantial moderating impact on all the variables of the Theory of Planned Behavior (TPB). The current study proposes the implementation of a take-back plan through e-commerce websites, tailored to the behavioural intents of millennials. This solution carries significant theoretical and practical implications. [Display omitted] [ABSTRACT FROM AUTHOR]

Due to climate change threats, governments worldwide are taking measures to move towards cleaner technologies. One such alternative in the energy sector is Renewable Energy Technologies (RET). Due to its merit over conventional technology, RET is being promoted in the industry and households. However, residential consumers switching from incumbent technologies to RET is still low. To fill this gap, this study builds on the Push-Pull-Mooring (PPM) framework to uncover the key factors affecting the switching intention of residential consumers toward RET. We adopted a sequential explanatory mixed-methods approach that involved a quantitative investigation followed by a qualitative study. In the quantitative phase, we used structural equation modeling techniques to analyze survey data from 291 participants to test our conceptual model. Subsequently, in the qualitative phase, in-depth interviews with 25 participants were conducted to gain deeper insights and validate the relationships identified in the quantitative analysis. The results indicate that environmental concern (push factor), economic benefit, and independence benefit (pull factor) have a positive association with switching intention. However, switching cost (mooring factor) was found to have a negative association with switching intention. Further, switching cost was also found to moderate the association between economic benefit and switching intention. The qualitative study provided further insights into the results of the quantitative investigation. It was clarified from the qualitative study that neighbor experiences and societal preferences of the causes may mitigate the influence of subjective norms on switching intention. Lastly, implications were drawn for academicians, marketers, and public policymakers. Marketers can utilize these findings to develop appropriate marketing strategies for this untapped market, which has huge potential. [ABSTRACT FROM AUTHOR]

Bio-remediation are low-cost and environmentally friendly, but microbial enzymes tend to lose their activity when treated antibiotic contaminants due to its high toxicity. In this study, Bacillus megaterium Y-4 was demonstrated to in situ synthesize Pd0@cells, and detoxify oxytetracycline (OTC) through enhancing electron transport chain via Pd0-dependent F O F 1 -ATPase (proton pumps). Toxicity analyses showed that increasing Pd0 loading significantly reduced acute and chronic bio-toxicity as well as ecological risk of OTC effluent, as evidenced by the promoting cellular response to oxidative stress with increasing enzymes GSH-Px and IDH activities (4.24 and 1.20-fold). Electrochemical (I-t, LSV, DPV and EDC) showed that the incorporated bio-Pd0 mainly promoted FDH/Hase-based short chain (gradually took precedence over CoQ-based long chain), diverting OTC extracellular degradation to markedly detoxify OTC to cell. Inhibition (DCCD and TBA) assays and structural equation modelling indicated that bio-Pd0 upregulated ATP and NADH synthesis. It also acted as transmembrane F O F 1 -ATPase proton pump, which enabled the backward of protons out of the restriction of PMF, eventually maximizing the energy utilization. This study sheds new insights into the detoxification of antibiotics by bio-nanoparticles through proton transmembrane transfer/redistribution. [Display omitted] • OTC was extracellularly detoxified mainly through Pd0-mediated FDH/Hase-S chain. • Pd0 optimized cellular energy utilization through electron redistribution. • Pd0-dependent F O F 1 -ATPase acted as proton pump to enhance electron transfer. • Proton transfer was freed from PMF restriction. [ABSTRACT FROM AUTHOR]

This study contributes to the theory and practice of public procurement by examining the role of structural alignment in the implementation of public procurement of green innovations. Structural alignment is defined as the coherence and harmonization between strategic aspects of an organization. The organizational aspects examined in this study are strategic goals, structural and control mechanism, and adequacy of resources. The study draws on secondary survey data collected from 379 public-sector organizations in Norway. The analysis was conducted using a novel approach that combines partial least squares structural equation modeling and necessary condition analysis. There is a positive and significant relationship between strategic goals and structural and control mechanism; between structural and control mechanism and adequacy of resources; and between the adequacy of resources and the attainment of public procurement of green innovations. The findings support the structural alignment hypothesis in that the presence of strategic goals results in the implementation of the public procurement of green innovations if structure, control, and adequate resources are in place. Finally, the results show that strategic goals are a necessary condition for enacting a corresponding structural and control design and that structural and control design are a necessary condition for allocating resources, which are themselves a necessary condition for the increased implementation of the public procurement of green innovations. • Structural alignment's role in procurement of green innovations is verified. • Strategic goals are necessary for enacting structural and control design. • Structural and control design are a necessary condition for allocating resources. • Resource allocation is necessary for the procurement of green innovations. [ABSTRACT FROM AUTHOR]

This research explores the factors influencing green energy consumer behaviour in Australia by examining Australian consumers' attitudes towards green energy from the Green Perceived Value (GPV) perspective, which integrates functional, emotional, conditional, and social dimensions. The data was collected through a survey of 380 participants on Amazon Mechanical Turk. This study employs factor analysis and structural equation modelling to report positive attitudes towards green energy. The positive perception is notably centred on its practical benefits, superior quality, and environmental advantages. These findings suggest that marketing strategies should highlight green energy's functional and environmental benefits to encourage consumer adoption. The study underscores the necessity of targeted educational campaigns aimed at younger demographics through digital media and the importance of emphasising green energy's economic and environmental benefits. Also, it recommends leveraging social and emotional value messaging and fostering community engagement to enhance the attractiveness of green energy solutions. Contributing to the discourse on green energy adoption in Australia, this research advocates for inclusive policies that ensure the accessibility and affordability of green energy for a diverse demographic spectrum. It calls for expanded research to further explore the GPV dimensions and include potential consumers in different cultural contexts. It offers a comprehensive framework to support strategies for increasing green energy adoption that are aligned with sustainability objectives. [ABSTRACT FROM AUTHOR]

In the current dynamic and technologically innovative world, operating a green-conscious firm is no longer a realistic choice for the sustainable and long-term financial viability of small-to medium-sized enterprises (SMEs) across all industries. In this study, we evaluated the link between digitization and sustainable corporate performance for small and medium Vietnamese organisations in the food and beverage sector. The current research body illustrates that different methodologies have been used to investigate how digitalisation (DI) affects business results. We investigated the link between the DI and sustainable corporate performance (SCP) of SMEs in an emerging economy environment via the lens of green innovation (GI) and green supply chain management (GSCM). As the aforesaid coupled linkage and its influence on sustainability had hitherto not been discussed in the literature, we focused on the mediating role played by GI and GSCM in the relationship between DI and SCP. We employed a quantitative methodology and gathered data through a carefully designed questionnaire administered to senior and medium managers. This yielded 405 valid replies. We then analysed the data by using Partial Least Square Structural Equation Modelling (PLS-SEM). The results were found to indicate a positive relationship between DI, GI, GSCM, and SCP. Additionally, they were found to illustrate the mediating role played by GI and GSCM in the relationship between DI and SCP. Therefore, we would encourage managers to engage in DI, GI, and GSCM in order to enable their organisations to achieve sustainability. • Investigates the link between digitalisation (DI) and sustainable corporate performance (SCP) of SMEs via the lens of green innovation (GI) and green supply chain management (GSCM). • Concentrates more on the mediating role of GI and GSCM in the link of DI and SCP. • Providing empirically proven integrated research frameworks that the current literature has insufficiently explored. [ABSTRACT FROM AUTHOR]

Distributed generation (DG) plays a strategic role in transitioning from a fossil to a renewable energy matrix, encouraging the reduction of energy poverty and access to green energy in traditional communities. This paper proposes a statistical model based on structural equations to analyze the influence of DG on Well-Being (CWB), and to estimate the causal relationships between the latent variables: economic (ECO), environmental (ENV), social (SOC), distributed generation system (DGS) and well-being (CWB) in a rural area in Brazil. The research is carried out in a Quilombola Community located in the south of Brazil. In the data collection process, a questionnaire was used in a Likert scale format, applied in loco to the residents of the Quilombola community. This database was imported into the SmartPLS software for analysis using a partial least squares approach. Structural equation-based modelling (SEM) results confirmed 66% of the hypotheses. The latent variables SOC and DGS directly and positively affected CWB with (β = 0.573) and (β = 0.433), respectively. The Economic variable with (β = 0.396) had a direct and positive effect on the DGS variable, and the DGS variable with (β = 0.404) had an immediate and positive impact on the CWB. The variables observed with the highest participation in the latent variables were: belonging (62%), social capital (31%), greenhouse gases (56%) and incentive policies (45%). The proposed model demonstrates that socioeconomic changes, carried out from specific public policies around the installation of DG, should contribute to the well-being of traditional communities and the reduction of energy poverty. • An analysis of the well-being development of a rural community was done. • For data collection process was used a Likert scale. • Only the social dimension had a direct effect on the well-being of the community. • The designed model demonstrated that the variables are susceptible to changes, influencing on public policies. • DG promotes well-being beyond technical issues and should encourage its installation in rural communities. [ABSTRACT FROM AUTHOR]

While prior research has primarily focused on corporate and governmental aspects of Circular Economy (CE) adoption, this study examines a less-explored area: people's awareness of CE principles. We employ the theory of behavioral choice (TBC) as a theoretical framework, shedding light on the psychological causes of inaction that hinder CE awareness. Our survey gathered responses from 2070 participants using non-probability sampling and applied composite-based structural equation modeling (CSEM) to analyse the data collected. Our findings reveal that these psychological barriers, such as the perception of sunk costs and limited cognition, impede individuals from embracing CE principles. However, social influence, encompassing the persuasive influence of peers, family, and celebrities, emerges as a promising factor in overcoming these barriers and boosting CE awareness. This study breaks new ground by examining the connection between psychological barriers and CE awareness across five distinct CE strategies, offering fresh insights into how CE awareness influences decision-making for a more regenerative economy. The practical implications of our research underscore the importance of fostering societal engagement in CE and promoting strategies to mitigate psychological barriers through education, incentives, and communication programs. [Display omitted] • Investigates how psychological barriers influence people's awareness of the circular economy. • Explores the moderating impact of social influence. • Converses about behavioral decisions stemming from individuals' circular economy awareness. [ABSTRACT FROM AUTHOR]

As the world struggles to cope with the pressing matters of global warming, rising temperature, and environmental degradation, the need for sustainable practices has become more urgent than ever for individuals and other establishments. Organizations across industries recognize the importance of adopting sustainable practices, not only to meet societal expectations but also to achieve long-term success. This research paper studies the influence of sustainable marketing on customer loyalty, focusing on the consumer electronics sector in India. A mixed-methods approach incorporating descriptive and causal research methods was used; with data collected from 302 participants from India's capital, Delhi and its nearby regions. Structural equation modeling was employed to establish multivariate relationships and Smart PLS 4 was used to analyze the data. The results suggest that sustainable marketing practices positively influence brand image and loyalty. Additionally, brand image acts as an intermediary between sustainable marketing and customer loyalty. These results provide valuable insights for managers aimed at fostering customer loyalty through sustainable practices, particularly in the consumer electronics sector. [ABSTRACT FROM AUTHOR]

Innovative agricultural practices represent the future of the world in the sustainable improvement of agricultural productivity. Sustainable farming practices have been recognized and accepted by agricultural development stakeholders, to provide a wide range of social, economic, financial, and environmental benefits. Despite this recognition, the application of these practices in the literature has focused on socio-economic and technical aspects while the psychosocial elements of the application have received limited attention. To contribute to a broad understanding of the concept, this study aims at analyzing the psychosociological motivations of cotton farmers to use biochar as a sustainable land management strategy. Adopting a survey research design, a sample of 528 farmers in Benin (West Africa) was interviewed on the pillars of the Theory of Planned Behavior (TPB) (Attitude, Subjective norms, Behavioral Control) and three other aspects (Climate change perception, Past behavior and Productivity risk perception) for an extension of TPB. The data collected were analyzed using the structural equation model of the SmartPLS 4 program. The results of this study confirmed all TPB relationships except for the construction of the "Attitude" pillar where Perceived ease of use had no significant influence. Apart from the classical TPB factors, perception of climate change and past behavior in adopting new agricultural practices positively affect the application of biochar. However, possible yield decreases at the beginning of biochar use demotivate farmers to take initiatives in this direction. The study notes that the role of a good perception and knowledge of the effects of climate change and the benefits of biochar action are elements to be considered in promoting sustainable cotton farming and agricultural practices. [ABSTRACT FROM AUTHOR]

Despite acknowledging employees' significance in implementing CSR strategies, a common deficiency lies in comprehending the fundamental incentives driving their participation in CSR initiatives. Drawing from cognitive consistency theory, this research strives to construct a moderated mediation framework elucidating the mechanisms and circumstances through which employees' perceptions of CSR as either substantial or symbolic can shape their involvement in CSR endeavors. To empirically validate the study framework, the research collects primary data, gathered through two time-lagged surveys from 820 employees to assess employee-level variables. This data was analyzed using Structural Equation Modeling (SEM) in AMOS. The study's intriguing findings revealed that how CSR is perceived plays a pivotal role: when seen as substantive, it remarkably enhances CSR engagement, whereas a symbolic interpretation has an adverse effect and even triggers employee cynicism which further entailing a counterproductive connection with CSR engagement. More interesting findings came to light – CSR attribution, when combined with employees' communal values, remarkably predicts CSR engagement, either substantive or symbolic. Our study has important implications for organizations seeking to enhance their CSR engagement efforts. • Employees' CSR views affect their engagement; substantive CSR boosts, while symbolic CSR reduces it. • Research shows cynicism mediates CSR perception and engagement; symbolic CSR increases cynicism and reduces engagement. • Communal values influence CSR impact on cynicism and engagement, varying with CSR's perceived nature. • Research adds to micro-CSR literature, examining psychological and contextual factors in CSR engagement. • Effective CSR engagement requires genuine, transparent activities, aligning strategies with real contributions. [ABSTRACT FROM AUTHOR]

Sustainable development operations in the business sector are continuously growing. Motivation for sustainability issues and stakeholder identification have been explored for strategy development and prioritization. However, the understanding of the relationship between stakeholder groups and sustainability practices is limited. This study focuses on primary and secondary stakeholders from stakeholder theory and examines sustainability issues in the business context. Through a questionnaire survey, the research aims to validate the direct impact of stakeholder groups on each dimension of sustainable business. The survey was conducted among employees of Japanese companies from both the industrial and service sectors, and confirmatory analysis was performed using structural equation modeling. Our results demonstrate that both primary and secondary stakeholders are involved in all aspects of sustainable practices. We observed that primary stakeholder groups primarily influenced sustainable practices in the industrial sector, whereas secondary stakeholder groups predominantly affected the service sector. An examination of specific actors revealed that suppliers and the media played a significant role in all dimensions of business sustainability. Finally, this study supports the assertion that normative pressure may be the primary factor that convinces companies to adapt successfully and achieve their sustainable development goals. • The important sustainability issue in the Japanese business is energy consumption. • Primary stakeholders drive sustainability in the industrial sector. • Secondary stakeholders play a crucial role in the service sector. • The supplier and media contribute to all dimensions of business sustainability. • Normative pressure is a driver for companies to achieve their sustainable target. [ABSTRACT FROM AUTHOR]

Extensive studies have been conducted on the impacts of plastic film residue on crop productivity in dryland agriculture. However, the relevant results were inconsistent or even opposite, which was most probably affected by both the size and concentration of residual films. To clarify this issue, a three-year (2019–2021) field experiment was conducted to examine plastic residue landfill effects on maize productivity using three sizes (0.4 × 0.4 cm2 (small), 4 × 4 cm2 (medium), and 10 × 10 cm2 (large)) under the low and high addition concentrations in an irrigated maize field. The data indicated that medium-sized residues significantly reduced maize yield by 7.3% and 13.8% in low and high addition levels respectively, relative to non-landfill group (CK) (p < 0.05). Large and small-sized residues under low level had no significant impact on yield (p > 0.05), while high amounts of small residues turned to positively influence yield. This trend was closely correlated with soil temperature, soil moisture, key enzyme activities, macroaggregate proportion, soil organic carbon and total nitrogen contents. Structural equation modelling and relative importance analyses demonstrated soil hydrothermal (27.4%), soil nitrogen (22.0%), and physical properties (21.1%) as primary drivers. A general trend was that the sizes of residues showed evidently greater impacts than their addition levels. Moreover, medium residues showed negative effects, while large and small ones had neutral or positive effects. For the first time, our findings confirmed the size- and concentration-dependent effects of plastic residues on crop productivity and provided a novel insight into plastic film pollution assessment & management in agricultural ecosystems. • Medium plastic residues evidently reduced maize yield across the concentrations. • Large and small plastic ones turned to neutrally and positively affect maize yield. • Soil hydrothermal and nutrient status were affected by residue size & concentration. • Residue size showed greater impacts on maize productivity than its concentration. • This study filled knowledge gap in understanding plastic residue production effect. [ABSTRACT FROM AUTHOR]

Increasing consumer demand has increased environmental pressure. Altering consumer behavior may be one strategy to achieve emission reduction targets. China's carbon labeling system is still in its infancy, and consumers' response to carbon labeling products is still uncertain. This study investigates consumers' willingness to pay (WTP) for carbon-labeled agricultural products (CAP) in different regions, the factors influencing them, and the strategies to implement carbon labeling. The results suggest that 77.60% of respondents are willing to pay more for CAP. The premium WTP for carbon-labeled milk, corn, bananas, tomatoes, and eggs is 25.66%, 31.96%, 24.08%, 23.62%, and 20.64%. Low-carbon awareness and the peer effect greatly and favorably impact people's reception of carbon labeling. Respondents' WTP for carbon labeling is considerably and favorably influenced by their acceptance of carbon labeling. We also put forward some suggestions on the promotion strategy of CAP from the perspective of government, enterprises, and consumers. • This study investigates consumers' WTP for carbon-labeled agricultural products (CAP). • 77.60% of respondents are willing to pay more for CAP. • People's reception of CLP is impacted by low-carbon awareness and peer effect. • Respondents' WTP for carbon labels is influenced by their acceptance of CAP. • We offer some advice on promoting CAP from multiple perspectives. [ABSTRACT FROM AUTHOR]

As companies in the manufacturing and construction industries strive to meet the EU circular economy (CE) targets, they need to develop new capabilities to implement CE activities that can positively influence their product/service innovations. However, companies in both industries, and beyond, still struggle to develop internal capabilities to innovate products and services that would help them in implementing CE principles and move towards the CE. The objective of this research is to analyze the types of innovation capabilities that are needed to enable CE implementation and achieve product/service innovations in two different industrial sectors. Prior research has focused on innovating and implementing circular business models and elaborated less on the innovation capability types. We collected survey data in December 2021–January 2022 that consists of responses from companies operating in Germany (n = 177), including employees in manufacturing (n = 87) and construction companies (n = 90). The results from the partial least squares structural equation modeling (PLS-SEM) based on measurement models from the literature indicate that employees in both sectors overall perceive higher levels of CE implementation capability as important for the company's product/service innovations. Furthermore, the results reveal differences in the way CE innovation capability and IT resource orchestration capability influence CE implementation and product/service innovations in the two sectors. Our study offers theoretical implications on how dynamic capabilities are associated with CE innovations and how they influence companies' product/service innovations based on empirical evidence from two industrial sectors. Those capabilities that are crucial for circular product/service innovations need to be associated with CE implementation capabilities. The results further advise practitioners in the development of CE innovation and CE implementation capabilities and how they are linked to IT resource orchestration capability and provide evidence on their relevance to creating product/service innovations. [ABSTRACT FROM AUTHOR]

This study aims to fill a significant research gap by examining the relationship between resource bricolage, dynamic capabilities (DC), stakeholder engagement, and carbon neutrality (CN) commitment in organizations facing resource constraints. While previous studies have explored various factors influencing CN commitment, limited attention has been given to the role of bricolage and the mediating role of DC in this relationship. Additionally, the boundary conditions of environmental justice orientation (EJO) and stakeholder responsiveness toward environmental uncertainty (SREU) in achieving CN commitments have yet to be extensively investigated. We developed a comprehensive conceptual model based on the resource-based view (RBV), DC theory, and stakeholder theory to address these gaps. Collecting data from 342 Chinese small and medium-sized enterprises (SMEs) firms using a time-lag approach, we empirically tested the proposed associations using structural equation modeling (SEM). Our findings reveal several noteworthy insights. First, contrary to expectations and prior studies, we found no direct association between bricolage and CN commitment. However, DC mediates the indirect effect of bricolage on firm CN commitment. Second, we identified a significant interaction effect, indicating that a proactive EJO enhances a firm's ability to navigate a changing environment and strengthens its CN commitment. Third, we discovered that SREU negatively moderates the relationship between DC and CN commitment. Overall, this study contributes to the existing literature by shedding light on the multifaceted nature of achieving CN commitments and the importance of DC, stakeholder engagement, and EJO. The practical implications of our findings highlight the need for organizations operating under resource constraints to integrate bricolage and DC while considering stakeholder concerns and fostering environmental justice principles. [ABSTRACT FROM AUTHOR]

Young adults play a pivotal role in environmental preservation and the future of the planet, but little is known about the predictors of their attitudes and intentions to purchase more sustainable products. Building on the theory of trying (TT) and the theory of planned behavior (TPB), this study addresses the research gap and examines how young consumers seek to conserve the environment by purchasing more sustainable products. The present study tests the conceptual model using multi-group structural equation modeling on samples of young adults from Western, Eastern, and Southeastern Europe with different levels of economic development, sustainable policies, and consumer attitudes toward sustainability. The results show that the predictors proposed by the TT explain the attitudes and intentions to buy eco-labeled products better than the predictors from the TPB and that past behavior plays an important role in this process. This study has both theoretical and practical implications for various stakeholders, including managers, policy makers, consumers, and stakeholder representatives. • Examination of predictors of young consumer intentions to buy eco labeled products across multi-country sample. • Integration of theory of planned behavior and theory of trying. • Theory of trying predicts young consumer intentions better than theory of planned behavior. • If young consumers successfully try to buy eco labeled products, it enhances their future intention to buy such products. • The effect on the attitude if young consumers try and fail to buy eco labeled products is yet to be determined. [ABSTRACT FROM AUTHOR]

Microbial necromass carbon (MNC) is one of the primary sources of stable soil organic carbon (SOC), playing a crucial role in global carbon cycling. Despite its significance, the impact of tunnel construction, a commonly adopted human activity in railway development, on MNC and its underlying mechanisms remains underexplored. To address this gap, a field survey was conducted in shrubland ecosystems on the eastern edge of the Qinghai-Tibet Plateau. Our study aimed to investigate the influence of tunnel construction on MNC and its contribution to SOC along an altitudinal gradient (3240 m, 3420 m, and 3600 m) and at two soil depths (0–10 cm and 10–30 cm). Results indicated that tunnel construction did not exert a significant impact on SOC and MNC. However, it led to a substantial decrease in the contribution of MNC to SOC (15.6%–19.9% in tunnel-affected areas) compared to the control areas (19.04%–30.97%). This outcome was likely attributed to the decreased bacterial necromass carbon (BNC) and the increased input of underground plant-derived carbon. MNC at 10–30 cm was significantly lower than that at 0–10 cm, and it exhibited a notable decrease at 3420 m compared to both 3240 m and 3600 m. These observations were closely related to reduced carbon input and microbial necromass stability. Principal component structural equation modeling revealed that soil microbial activities were the most important for MNC and SOC accumulation. Consequently, tunnel construction influenced SOC formation by altering the relative contributions from plant and microbial sources. This study provides valuable evidence for assessing the impacts of engineering construction on SOC and its sources in the context of climate change. Moreover, it offers scientific support for ecosystem conservation and sustainable development in the Qinghai-Tibet Plateau region during engineering construction. • Tunnel construction reduced bacterial necromass carbon. • Tunnel construction had no impact on fungal necromass carbon. • Contribution of microbial necromass to SOC was reduced after tunnel construction. [ABSTRACT FROM AUTHOR]

The paper achieves three specific objectives. First, it examines the effect of sustainability knowledge on sustainability reporting. Second, the mediating role of perceived benefit in the nexus between sustainability knowledge and sustainability reporting is assessed. Finally, it examines the moderating role of stakeholder pressure in the relationship between perceived benefit and sustainability reporting. The study adopted the cross sectional research design and survey approach. The data was collected using a structured questionnaire. The population was the Small and Medium Enterprises in Ghana and the target respondents were key decision-makers of firms. 258 respondents formed the sample size. Structural Equation Modeling (SEM) was used to analyze the data. The study found statistically insignificant positive effect of sustainability knowledge on sustainability reporting. Moreover, perceived benefit was found to fully mediate the nexus between sustainability knowledge and sustainability reporting. Finally, stakeholder pressure was found to positively moderate the relationship between perceived benefit and sustainability reporting. In light of the study's findings, SMEs management should disclose environmental, social, and economic information in financial statements and similar reports. Moreover, managers of firms should enhance stakeholder relationship management by considering stakeholders' environmental, social, and economic concerns in strategy formulation. Governments' should motivate SMEs to make environmental, social and economic disclosures which are beyond their primary objective. [ABSTRACT FROM AUTHOR]

Expansion of urban scale, including the growth of population, gross regional product and city area, have led to an increase in the city's air pollution. Previous research has often emphasized the adverse effect of urban scale on air pollution levels through the expansion of residents' activities. However, the expansion of urban scale can also induce the green technological innovation and change in the industry structure via the effect of agglomeration, thus leading to reduction of air pollution to some extent. Association mechanisms between urban scale and air pollution are complex and poorly understood. In this context, this study aims to identify the combined effects of urban scale on air pollution through residents' activities, industry structure and technique impact in 292 selected Chinese cities from 2015 to 2020, using the structural equation modeling. Results suggested that the expansion of urban scale had a positive impact on air pollution levels through residents' activities (average impact coefficient: 0.509). But urban scale promoted the impact of green technological innovation and optimization in the industry structure, causing a decrease in air pollution levels. The average impact coefficients of urban scale on air pollution levels through technique impact and industry structure were −0.202 and −0.018, respectively. Furthermore, the multiple-group analysis found that with the growth of urban population, there was an increase in the association strength of urban scale on air pollution via technique impact, while there was a great deal of difference for the industry structure. Findings from this study can contribute to a more comprehensive understanding of the impact of urban scale on air pollution, which will provide a theoretical basis for air pollution prevention and control policies. [ABSTRACT FROM AUTHOR]

Despite the growing body of literature on the determinants of public behavioral changes with respect to climate change issues, little (and often controversial) research has explored the mechanism of how publicly available information about climate change issues influences public behavior. Drawing upon prior research on this topic, we propose a model to examine the influence of the amount of publicly available information on public behavior towards climate change risks. Theoretical foundations were drawn from the marketing and the social-psychological literature on behavior. Data was collected via an online survey from a large sample of 1126 French individuals, right before, during and after the 2015 United Nations Climate Change Conference in Paris. Results of structural equations modeling indicate that an increase in publicly available information about causes and consequences of climate change, as well as about actions to be taken to mitigate it, has an important positive influence on public problem awareness. This in turn positively influences both personal efficacy and public behavioral intentions to fight climate change, two key mediators that spur positive changes in desired climate-friendly public behaviors. • Public information on climate change causes, consequences, and actions fosters sustainable behavior intentions. • Climate problem awareness positively influences both personal efficacy and intentions to fight climate change. • The effect of informedness on climate-friendly behavior is mediated by awareness, personal efficacy and intention. • Decrease in mass media information risks being interpreted by the public that climate change is no longer a threat. [ABSTRACT FROM AUTHOR]

Sustainability practices are expected to yield positive outcomes for both firms and the community. The literature reviewing the relationship between sustainability practices and performance has mainly been concerned with environmental issues and financial outcomes. However, there are few empirical studies that deal with the social dimension of sustainability. This article seeks to address these gaps and contribute to social sustainability studies by suggesting a positive correlation between firms' social sustainability practices – towards employees and community - and social performance, highlighting the role of social and long-term orientation as mediators. Social identity theory and practice-based view are employed to explain these relational mechanisms. Data were collected through a survey of Italian firms in the manufacturing and trade sectors. A two-stage structural equation modeling approach was followed to test the proposed mediation model. The results reveal that when practices are supported by a strong orientation, it triggers the process of social identification, thereby enhancing the firm's social outcomes. From a practice-based view, orientation can explain the performance differences among firms. To succeed in enhancing social impacts, managers and policymakers should prioritise promoting the cultural aspects of sustainability. [ABSTRACT FROM AUTHOR]

The yield of rice straw is increasing year by year, and composting is a common and effective treatment. The genus Bacillus has been widely used in rice straw composting because of its good ability to degrade lignocellulose. In addition, inoculation with Bacillus had an effect on the composting humification degree. However, the route, object, and extent of influence of different Bacillus sp. on the humification degree have not been clarified. In this study, four treatments were carried out for a 75-day experiment, including inoculated with Bacillus siamensis (H1) composting, inoculated with Bacillus halophilus (H2) composting, inoculated with Bacillus parahemolyticus (S1) composting, and composting without inoculation (CK) as a control. The effects of inoculation on precursors and humification indexes were investigated by chemical methods. Also, microbial changes were investigated by high-throughput sequencing. Finally, structural equation models (SEMs) were used to reveal the influence route of Bacillus sp. The humic acid (HA) concentration of CK compost, H1 compost, H2 compost and S1 compost increased by 39.88%, 43.39%, 57.42% and 51.83%, respectively. Network analysis showed differences in core microorganisms and microorganisms related to Bacillus among treatments. The SEMs indicated that H2 and S1 could not only directly affect humification ratio (HR), but also promote humification through their effects on bacterial communities. And H1 could only further affect HR by affecting the microorganisms involved. Collectively, inoculation with Bacillus could increase the HA content. Moreover, the influence routes of H2 and S1 are different from those of H1, with the former having two and the latter only one. Therefore, this study provided a theoretical basis for revealing the influence routes of different Bacillus sp. in the humification process. Meanwhile, it also alleviates the environmental pollution caused by the burning of straw waste, which is of great significance to environmental protection. [Display omitted] • Humic acid content of inoculation with Bacillus halophilus (H2) increased most. • Bacillus parahaemolyticus (S1) was the most functional of the three strains. • Bacillus siamese (H1) had only an indirect effect on humification ratio. • The direct effects of H2 and S1 contributed more to humification. [ABSTRACT FROM AUTHOR]

Bio-based fertilisers, derived from diverse biological waste and processing technologies, have shown promising efficiency. However, the successful introduction of newly developed bio-based products in the market remains a challenge due to insufficient information on optimal marketing strategies. In this study, we examine farmers' perceptions regarding the acceptance of bio-based fertilisers in the EU. This research utilizes the Theory of Planned Behaviour (TPB) and an extended version with Perceived Utility as a mediating variable, using two distinct Structural Equation Models (SEMs) for analysis. Data were collected via an online questionnaire distributed across the EU 27 (n=332). Our findings reveal that farmers make rational decisions about fertiliser use, striving to maximize utility. Intentions to adopt bio-based fertilisers are strongly linked to attitudes, subjective norms, and perceptions of utility. Social networks and expert acceptance play a crucial role in shaping farmers' intentions. To enhance utility perception and encourage adoption, targeted marketing strategies should address key social groups, providing comprehensive information on the benefits and costs of implementation. Moreover, ensuring price stability through effective regulatory tools and mechanisms is vital for successful integration into the market. These insights offer valuable guidance to policymakers and the fertiliser industry, facilitating the introduction of bio-based fertilisers into the EU market. • Individual judgment and social influences significantly shape farmers' intentions to use bio-based fertilisers. • Social circles have a significant indirect effect on intentions to use bio-based fertilisers, which should not be overlooked when designing marketing strategies. • The linkage of psychological and economic dimensions highlights that farmers approach decisions from a rational-economic standpoint. [ABSTRACT FROM AUTHOR]

Eco-labels are one of the most effective tools of environmental information policy. Several studies have been carried out in order to explore the determinants of consumers' seafood eco-labels choice emphasizing that awareness, altruism and information demand play a key role. However, it is unclear whether these three aspects are independent of each other or have important interrelationships that deserve to be studied. To fill this gap, this study aims to explore the interaction between altruism, awareness, information demand and seafoods eco-label choice in three Mediterranean countries (Greece, Italy and Spain). Partial Least Squares Structural Equation Modelling has been used in order to identify the key determinants and the relationship between selected variable, while we used PLS multigroup analysis (PLS-MGA) to perform a cross-country analysis. The results, based on 781 respondents, found that altruism is the key factor that leads consumers to choose eco-labelled seafood acts as a significant mediator between awareness and information demand and the choice of eco-labelled seafood products. This conclusion highlights the need to spread altruistic values among consumers by encouraging pro-social and pro-environmental behaviours, reducing inhibiting factors such as pluralistic ignorance, and then increasing consumer knowledge, skills and confidence. • The study explores the interaction between altruism, awareness, and information demand. • 781 consumers from three Mediterranean countries have been surveyed. • Altruism is sthe key factor that leads consumers to choose eco-labelled seafood. • Altruism is a significant mediator between awareness and information demand. • Altruism affects the intention to choose eco-labelled seafood. [ABSTRACT FROM AUTHOR]

With the increased concern about social and environmental impacts, managing sustainability in supply chains has become a focus of interest. In consequence, companies are adopting supply chain sustainability practices also due to pressures from various stakeholders. Questions arise about how certain types of pressures can influence the adoption of behavioral and technical practices related to sustainability and how these relationships vary along supply chains. The research utilizes data from Brazilian companies and employs structural equation modelling to investigate the adoption of sustainability practices in supply chains. Normative and mimetic pressures positively affect behavioral and technical practices. On the other hand, coercive pressures have no influence on the adoption of sustainability practices, whether technical or behavioral. The findings enhance the understanding of how institutional pressures shape the adoption of sustainability practices, benefiting companies and policymakers aiming to promote sustainable supply chains. [ABSTRACT FROM AUTHOR]

Among the existing modes of "Internet plus tree-planting" in China, the government-led mode is represented by "Internet plus national voluntary tree planting", and the enterprise-led mode is represented by "Ant Forest". Now, the public enthusiasm for participating in both modes has declined. We investigated the factors influencing public participation in "Internet plus tree-planting" activities of the two modes, with a view to providing better suggestions for solving the dilemma of public participation. This paper examines the factors that influence public participation in "Internet plus tree-planting" of these two different modes. We combine the theory of planned behavior (TPB) with Knowledge-Attitude-Practice (KAP). Structural Equation Modeling (SEM) is used to explore the formation of public intention and behavior practice for the two modes and compares the differences between them. Results show that subjective norm has the greatest effect on public participation in national voluntary tree planting but has no effect on public participation in Ant Forest. On the contrary, the total effect of outcome efficacy on public participation behavior has the least weight in national voluntary tree planting, while the conclusion is the opposite for Ant Forest. This paper contributes to researchers' understanding of the two participation behaviors. In addition, suggestions on promoting integrated forms of the two modes were proposed for policymakers: (1) Keep channels of communication open and attract emerging forces. (2) Popularize environmental knowledge and improve environmental protection literacy. (3) Enrich interactive content and improve incentive policies. (4) Create an integration platform and foster two-way linkage between government and enterprises. • Combined KAP and TPB to construct the conceptual model of two "Internet plus tree-planting" modes. • Explored the different influencing factors of public participation between two modes. • In the government-led mode, subjective norm and outcome efficacy both had mediating effect on intention, and the total effect of subjective norm was greatest. • In the enterprise-led mode, outcome efficacy had a mediating effect on intention, while subjective norm had neither any direct nor indirect effect. [ABSTRACT FROM AUTHOR]

COVID-19 threatens human life and health, and affects travel frequency and travel mode choice. Clarifying the main drivers of the purchase intention of new energy vehicles (NEVs) under the epidemic is important for formulating phasing policy regarding the promotion of green mobility and the construction of smart cities. Based on this, this study introduces variables such as perceived risk and trust under the epidemic, aiming to investigate the main drivers of the purchase intention of NEVs in China under epidemic through an extended technology acceptance model. The data covered the public in urban, suburban, and rural areas of China (n = 884) and were analyzed using structural equation model. Specifically, trust had a significant positive effect after the epidemic. Perceived risk did not directly affect the public's intention to purchase new energy vehicles, but had an indirect effect through attitude and perceived utility, attitude and trust, and social interaction and trust. In addition, the significant positive impacts of subsidy and non-subsidy incentive are further validated, which reinforces the current view. Considering the limited literature related to the purchase intention of NEVs under the epidemic in developing countries, it is hoped that these findings will provide new perspectives for future research, and provide guidance for phasing policy formulation. [ABSTRACT FROM AUTHOR]

This study examines how risk communication and risk perception related to the pandemic affect tourists' intention to engage in pro-environmental travel behavior. An online survey was conducted, yielding 449 valid responses. The data was analysed using Partial Lease Square – Structural Equation Modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The results indicate that risk communication and cognitive risk perception significantly impact pro-environmental travel behavioral intention (PETBI). Although the output of PLS-SEM does not support the positive effect of affective risk perception on PETBI, the results of fsQCA support this relationship. Additionally, this study confirms the mediating role of cognitive risk perception between risk communication and PETBI. Environmental responsibility is found as a significant mediator between affective and cognitive risk perception and environmental moral obligation, while environmental concern is established as a significant mediator between cognitive risk perception and environmental moral obligation. Although social influence did not moderate the relationship between environmental moral obligation and PETBI, based on the results of the fsQCA, it can positively influence PETBI. These findings provide valuable insights for the tourism industry in China and other countries, enabling them to develop effective strategies to address risk communication and perception of the pandemic and promote pro-environmental travel behavior. Furthermore, the study offers theoretical and managerial implications for scholars and practitioners alike. [Display omitted] • This study has developed and tested a conceptual model of tourists' PETBI based on : Attribution Theory, Terror Management Theory, and the Norm Activation model. • This study conceptualized risk perception in terms of affective and cognitive risks and analysed their combined effect. • This study developed and tested new relationships. • This study employed fsQCA analysis alongside PLS-SEM methodology to gain a comprehensive understanding. [ABSTRACT FROM AUTHOR]

This paper aims to study the determinants that affect sustainability performance in manufacturing companies and the impact of business intelligence and big data analytics capability on performance considering the moderating role of green knowledge management. An online questionnaire survey was conducted with 488 ISO14001-certified manufacturing companies in Malaysia to test the framework developed in this study. Nonprobability sampling was used in this study. A total of 283 responses were received, whereby the data was then analyzed using structural equation modeling via SmartPLS 4 software. The results indicated that the significant factor determining big data analytics capability is business intelligence, and the positive outcome of big data analytics capability is sustainability performance. Big data analytics capability also plays a mediating role in the positive relationship between business intelligence and sustainability performance, whereby green knowledge management does not moderate the relationship between big data analytics capability and sustainability performance. Even though business intelligence has a substantial impact on sustainability performance, the relationship is not stronger when the level of green knowledge management changes. This research provides awareness to manufacturing companies on the critical factors contributing to big data analytics capability and its outcomes on corporate sustainability performance. [ABSTRACT FROM AUTHOR]

This study investigated the mediating role between corporate social responsibility (CSR) and sustainability performance. This is the first study which has focused specifically on mediating role of green human resource management (HRM) between CSR and sustainability performance dimensions which is remained unanswered in the literature. Survey data from the 139 hotels in Pakistan was collected and SmartPLS was applied for structural equation modeling. Findings reveal that CSR is positively and significantly related with green HRM practices. In addition, green HRM practices mediate the relationship between CSR and environmental and social dimensions of sustainability performance. Contradictory to the expectation, green HRM was found insignificant mediator between CSR and economic sustainability performance. The findings demonstrate various theoretical and managerial implications. The study offers novelty by unfolding the unobserved mediating relationship of green HRM between CSR and dimensions of sustainability performance. The study also contributes to the literature of resource-based view (RBV) theory which depicts that CSR and green HRM are the intangible resources for the hotels in achieving sustainable performance and competitive advantage. The study will help the policy makers and managers by adopting theoretical framework for their cleaner production capabilities. • Previous study on CSR and green HRM did not examine the sustainability performance as outcome. • The gap to green HRM literature by providing evidence on the link between CSR and sustainability performance. • The study provides evidence of green HRM as a mediator between CSR and environmental and social sustainability performance. • The study evidenced significant contribution in cleaner production and sustainability performance in the hotel industry. [ABSTRACT FROM AUTHOR]

Understanding the drivers of low-carbon practices in green supply chain management in the construction industry is essential because it largely addresses the major problem of global warming due to carbon dioxide emissions. The purpose of this study is to investigate key drivers of low-carbon practices in green supply chain management in construction industry. Based on institutional theory, relational view theory, and self-determination theory, three drivers for low-carbon practices were identified, namely, environmental regulation, supply chain relationship, and organizational culture. Then a questionnaire was administered and data were collected from the owners, contractors, designers, and other relevant parties of the construction project. Partial least squares structural equation modeling was used to analyze data. The results show that supply chain relationship and organizational culture are positively and directly correlated with the low-carbon practices level of green supply chain management. In addition, this study also found that organizational culture partially mediates the relationship between supply chain relationship and low-carbon practices. Contrary to expectations, environmental regulation has no direct effect on practices, while supply chain relationship and organizational culture fully mediate the relationship between environmental regulation and practices. As limited research has been conducted to examine the drivers for green supply chain management low-carbon practices in the construction industry, this study bridges the knowledge gap and contributes to the current knowledge system of green supply chain management. Additionally, the findings of this study can provide authorities and practitioners with a deeper understanding of low-carbon practices in green supply chain management, and helping to propose more feasible measures to reduce carbon dioxide emissions and improve environmental performance. [ABSTRACT FROM AUTHOR]

Although demand response (DR) is an important means for solving the stability and reliability challenges of renewable energy (RE) power systems, it remains unclear how DR can be widely applied in industrial enterprises, particularly in areas with a high proportional RE system and industrial energy consumption that do not apply any DR programs. The objective of this study is to understand the influencing factors of industrial enterprises' willingness to participate (WTP) in DR in these areas, including one economic factor and three noneconomic factors. This study performs a questionnaire survey in Qinghai, and a total of 556 industrial enterprises completed valid questionnaires, these data are empirically analyzed through Structural Equation Model. The results demonstrate enterprises' DR awareness degree is the most significant predictors of the WTP in DR. Meanwhile, enterprises' electricity consumption level also had a significant impact on the WTP in DR rather than enterprises' potential DR capabilities and the expected minimum compensation. Finally, the study suggests feasible recommendations, such as increasing enterprises' ability of analyzing potential DR, directly encouraging enterprises to participate in DR, designing compensation standards and adopting differentiated DR according to enterprises' actual DR potential. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate organizational drivers of green innovation and green development in China's manufacturing industry. The study presents a theoretical framework that consists of technology compatibility, institutional pressure, and green transformation. These factors impact organizations' green innovation adoption behavior, improving enterprise green development. Analysis of 321 executives and non-executives' data using Partial Least Squares Structural Equation Modeling. Technology compatibility aligns enterprises with new systems and mitigates integration challenges, institutional pressures (mimetic, coercive, and normative) motivate adherence to green development strategies, and green transformation promotes sustainability across production, ecology, and carbon neutrality. This shifts organizational behavior toward green innovation adoption for greater development. The study also finds partial mediation effects between exogenous and endogenous components, supporting theory and practice. • Demonstrates how diverse institutional pressures spur organizations to adopt green development strategies. • Empirical evidence supports enterprise green development drivers. • Green transformation is vital for green innovation adoption behavior. • Suggests green innovation and development strategies for Chinese manufacturing. [ABSTRACT FROM AUTHOR]

In the pursuit of advancing urban sustainability within the unique backdrop of Nigeria's built environment and its environmental challenges, this study presents the significance of information and communication technology (ICT). Undertaking this research holds immense importance in illuminating the possibilities inherent in leveraging ICT to foster urban sustainability. The study's objectives encompass a comprehensive investigation into the multifaceted contributions of ICT to urban sustainability, while also delving into its impact on stakeholder engagement and participation in these sustainability endeavors. Addressing an identified gap, the study sheds light on the critical nexus between stakeholders' active involvement and the resulting impact on urban sustainability. This connection serves as a crucial yet under-explored avenue within the broader discourse on leveraging ICT for sustainable urban development. The study employs structural equation modeling (SEM) to evaluate a proposed model and analyze empirical data. The results of the study highlight the critical role of ICTs in urban sustainability (β = 0.614, R2 = 0.85), demonstrating its capacity to enhance efficiency; which promotes sustainability practices, and improves the quality of life for urban residents. The findings of this study have significant implications, as they suggest the potential for optimizing the impact of ICT-based urban environments to meet the diverse needs and priorities of society as a whole. By leveraging ICT effectively, countries can create a robust smart environment that contributes to sustainable development and addresses environmental concerns. To leverage the benefits of ICT, however, appropriate attention should be committed to the execution of smart urban sustainability through stakeholder participation and involvement. The implication of the study enables the possibility to optimize the impact of an ICT-based urban environment, thereby creating sustainable and resilient communities that meet the needs and priorities of all members of society. • There exists a noteworthy influence of Information and Communication Technology (ICT) on Urban Sustainability in Nigeria. • There are potential benefits and challenges to implementing smart city technologies in Nigeria's urban areas, with a specific focus on sustainability. • The adoption of ICTs within the framework of smart urban environments holds the potential to address urbanization issues. • A Smart Urban Environment could have positive impacts on the residents' quality of life. • The policymakers, urban planners, and stakeholders in Nigeria should be aware of the significance of incorporating ICT into urban development strategies for achieving sustainable outcomes. [ABSTRACT FROM AUTHOR]

This study employs structural equation modelling to investigate performance drivers and resource dynamics in social enterprises (SEs) operating in a nascent ecology (i.e., Malaysia) during the COVID-19 pandemic. The findings shed light on the relationships between various factors. Notably, entrepreneurial orientation and network connections positively influence SEs' financial performance, while traditional business planning unexpectedly demonstrates a negative impact during the crisis, highlighting the need for adaptive approaches in dynamic environments. Additionally, the study confirms a significant correlation between financial and social performance, emphasising the crucial role of financial feasibility in generating sustainable social value. Consistent with the standard regression analysis, the importance-performance matrix emphasises that entrepreneurial orientation is the focal area for driving financial success and ensuring the sustainable growth of SEs. These insights contribute to the existing knowledge on SEs and offer practical implications for practitioners, policymakers, and stakeholders seeking to enhance social entrepreneurship's performance despite challenging circumstances. • A study in Malaysia explores social enterprises during COVID-19. • Entrepreneurial orientation and networks boost financial performance. • Traditional planning has a negative impact; adaptability is crucial. • Financial success is tied to social achievement. [ABSTRACT FROM AUTHOR]

Revealing the spatio-temporal heterogeneity of cropland ecosystem services and identifying its main driving factors is a prerequisite for managing cropland and ensuring sustainable agriculture. The cropland ecosystem services are impacted by both cultivation practices and the natural environment, which lead to high heterogeneity. Therefore, making clear the cropland ecosystem service value (CESV) dynamic and its driving factors are still a great challenge in agricultural production areas. Jiangxi Province is located in eastern China and it is one of the main grain production regions in China but face great pressure of cropland degradation due to rapid industrialization and urbanization in the past two decades. However, the knowledge on the spatio-temporal variation of CESV and related dominators is largely retain unclear in Jiangxi Province. To fill this gap, we integrated different biophysical models and value estimation methods to map the CESV in Jiangxi Province. The CESV from 2001 to 2020 was mapped with a spatial resolution of 1 km, and the temporal trend was explored using Theil-Sen and Mann-Kendall test method. Subsequently, the influencing pathways of both natural and anthropogenic driving factors on CESV were contrasted utilizing partial least squares structural equation modeling. The spatial correlation and heterogeneity between CESV and its driving factors was also revealed by the bivariate Moran's I method. Finally, the geographically weighted regression was adopted to identify spatially-varying primary driving factors which dominate the variation of CESV across the study area. Our results revealed that: (1) the CESV in Jiangxi province increased from 257.84 billion yuan to 312.37 billion yuan from 2001 to 2020; (2) the CESV in most of the study area (97.47%) was featured by an increasing trend; (3) vegetation and terrain factors have the highest contribution to the variation of CESV, followed by soil properties; (4) the CESV was positively correlated with saturated soil hydraulic conductivity, clay, elevation, slope, leaf area index, vegetation cover fraction in the study area, while significantly negatively correlated with population density and nighttime light index; (5) the proportion of areas where CESV was dominated by vegetation cover fraction was the largest, followed by saturated soil hydraulic conductivity, elevation, and slope. Based on our findings, we put forward several suggestions to underpin sustainable cropland ecosystem management and development. Our research offers an insightful understanding of spatio-temporal heterogeneity of CESV and can provide important implications and useful guidance for enhancing the ecosystem functions of cropland. [Display omitted] • The total CESV of Jiangxi Province increased from 257.84 billion yuan in 2001 to 312.37 billion yuan in 2020. • The CESV across Jiangxi Province was mapped from 2001 to 2020 with a spatial resolution of 1 km. • The temporal trend of CESV was explored using Theil-Sen and Mann-Kendall test. • The CESV in Jiangxi Province was promoted directly by terrain and vegetation. • Spatial varying primary drivers of spatio-temporal variation of CESV were mapped. [ABSTRACT FROM AUTHOR]