Pub Date : 2025-01-23DOI: 10.1016/j.jclepro.2025.144851
Amit Garg, Rakesh D. Raut, Mukesh Kumar, Chi ZHANG, Ravindra S. Gokhale
The circular economy is crucial in promoting environmental justice by reducing the uneven burden of environmental hazards on marginalized communities and low-income individuals. The circular economy transition is increasingly a pivotal strategy for achieving carbon neutrality. Recent shifts in stakeholder focus towards carbon neutrality have made net-zero and environmental social and governance (ESG) hot topics to study, as they can lead to environmental justice. This research delves into the significance of net-zero policies and stakeholder pressure in integrating circular economy concepts into supply chains, aiming to establish a carbon-neutral supply chain within the environmental justice framework. Even though there is a lot of literature about the circular economy, not much is known about how it affects the adoption of the circular economy, the involvement of stakeholders, and net zero policy. Specifically, the role of innovation capability in this context has not been fully explored. This research aims to clarify the role of stakeholders in promoting circular economic practices in supply chains and their impact on carbon neutrality. It also examines how net-zero policies and innovation capabilities affect each other. To achieve this, we used structural equation modeling on data from 217 manufacturing firms from October 2023 to January 2024. Findings highlight a positive relationship between stakeholder pressure and circular economy integration, contributing to carbon-neutral supply chain outcomes. Results show net-zero policies moderate the stakeholder and circular economy relationship, with innovative capabilities acting as a partial mediator. This study adds to the literature by explaining the complex relationships between stakeholder pressures, circular economy practices, and the role of net zero policies and innovation capabilities in advancing carbon-neutral supply chains. This research makes a unique contribution to theory by examining the impact of circular economy practices on social well-being and environmental benefits, particularly regarding environmental justice.
{"title":"Does the Circular Economy Transition Support Carbon Neutrality? Examining Net-Zero Policy and Stakeholder Impact from the Environmental Justice Viewpoint","authors":"Amit Garg, Rakesh D. Raut, Mukesh Kumar, Chi ZHANG, Ravindra S. Gokhale","doi":"10.1016/j.jclepro.2025.144851","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144851","url":null,"abstract":"The circular economy is crucial in promoting environmental justice by reducing the uneven burden of environmental hazards on marginalized communities and low-income individuals. The circular economy transition is increasingly a pivotal strategy for achieving carbon neutrality. Recent shifts in stakeholder focus towards carbon neutrality have made net-zero and environmental social and governance (ESG) hot topics to study, as they can lead to environmental justice. This research delves into the significance of net-zero policies and stakeholder pressure in integrating circular economy concepts into supply chains, aiming to establish a carbon-neutral supply chain within the environmental justice framework. Even though there is a lot of literature about the circular economy, not much is known about how it affects the adoption of the circular economy, the involvement of stakeholders, and net zero policy. Specifically, the role of innovation capability in this context has not been fully explored. This research aims to clarify the role of stakeholders in promoting circular economic practices in supply chains and their impact on carbon neutrality. It also examines how net-zero policies and innovation capabilities affect each other. To achieve this, we used structural equation modeling on data from 217 manufacturing firms from October 2023 to January 2024. Findings highlight a positive relationship between stakeholder pressure and circular economy integration, contributing to carbon-neutral supply chain outcomes. Results show net-zero policies moderate the stakeholder and circular economy relationship, with innovative capabilities acting as a partial mediator. This study adds to the literature by explaining the complex relationships between stakeholder pressures, circular economy practices, and the role of net zero policies and innovation capabilities in advancing carbon-neutral supply chains. This research makes a unique contribution to theory by examining the impact of circular economy practices on social well-being and environmental benefits, particularly regarding environmental justice.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"24 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-23DOI: 10.1016/j.jclepro.2025.144854
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz
The COVID-19 pandemic has exposed critical vulnerabilities in medical supply chains (MSCs), leading to severe and long-lasting disruptions characterized by the ripple effect. Traditional risk mitigation strategies have proven inadequate for ensuring the resilience and long-term viability of MSCs in such volatile environments. This paper aims to design a resilient MSC by developing a hybrid risk management framework that enhances supply chain adaptability and survivability in the post-pandemic era. To address this issue, a risk-averse two-stage stochastic programming model that integrates Conditional Value at Risk (CVaR) and chance constraints (ChanceCon) is proposed to effectively manage the risk of unsatisfied demand. The hybrid CVaR-ChanceCon approach allows for a more comprehensive risk assessment by combining the benefits of both methods. To efficiently solve the complex optimization problem, a novel math-heuristic algorithm is developed that generates high-quality solutions within reasonable computational times. Compared to traditional risk measures and solution methods, the proposed hybrid framework demonstrates significant advantages in balancing cost efficiency and service level requirements. Key findings from extensive computational experiments reveal that the proposed method effectively reduces expected shortages, stabilizes supplier and warehouse utilization decisions, and enhances overall MSC resilience under various disruption scenarios. Policy implications suggest that adopting this hybrid risk management approach can substantially improve the preparedness and responsiveness of MSCs to future disruptions. It is recommended that policymakers and supply chain managers incorporate advanced risk aversion strategies like the CVaR-ChanceCon method to ensure the continuous supply of medical products, thereby safeguarding public health during crises.
{"title":"A hybrid risk management framework for resilient medical supply chain design in the post-pandemic era","authors":"Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz","doi":"10.1016/j.jclepro.2025.144854","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144854","url":null,"abstract":"The COVID-19 pandemic has exposed critical vulnerabilities in medical supply chains (MSCs), leading to severe and long-lasting disruptions characterized by the ripple effect. Traditional risk mitigation strategies have proven inadequate for ensuring the resilience and long-term viability of MSCs in such volatile environments. This paper aims to design a resilient MSC by developing a hybrid risk management framework that enhances supply chain adaptability and survivability in the post-pandemic era. To address this issue, a risk-averse two-stage stochastic programming model that integrates Conditional Value at Risk (CVaR) and chance constraints (ChanceCon) is proposed to effectively manage the risk of unsatisfied demand. The hybrid CVaR-ChanceCon approach allows for a more comprehensive risk assessment by combining the benefits of both methods. To efficiently solve the complex optimization problem, a novel math-heuristic algorithm is developed that generates high-quality solutions within reasonable computational times. Compared to traditional risk measures and solution methods, the proposed hybrid framework demonstrates significant advantages in balancing cost efficiency and service level requirements. Key findings from extensive computational experiments reveal that the proposed method effectively reduces expected shortages, stabilizes supplier and warehouse utilization decisions, and enhances overall MSC resilience under various disruption scenarios. Policy implications suggest that adopting this hybrid risk management approach can substantially improve the preparedness and responsiveness of MSCs to future disruptions. It is recommended that policymakers and supply chain managers incorporate advanced risk aversion strategies like the CVaR-ChanceCon method to ensure the continuous supply of medical products, thereby safeguarding public health during crises.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"34 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Color management and efficient decolorization of waste textiles have become a central focus, driving the need for transformative approaches in cotton textile recycling. There is an urgent need to develop a waste cotton textile closed-loop recycling strategy that is integrated with a new dyeing method to achieve efficient color management. By the method of fiber modification, salt-free dyeing and effective decolorization were simultaneously achieved in this study. The results show that the salt-free dyed cotton fabrics exhibited a significantly improved decolorization rate compared with the conventionally dyed fabrics, with a decolorization rate higher than 95% when using non-reactive dyes and a salt-alkali method, while maintaining mechanical properties comparable to the control cotton fabric. It was revealed that covalent bonding plays a critical role in decolorization efficiency, whereas the decolorization of salt-free dyed fabrics primarily resulted from the disruption of ionic bonds between the dyes and cationized fibers. The recycling feasibility of salt-free dyed cotton fabrics was also confirmed by evaluating the re-dyeing performance of decolorized fabrics by dyes with different colors, and the performance of multiple dyeing-decolorization cycles showed good stability, laid a solid foundation for the closed-loop recycling of cotton fabrics. Notably, compared with the conventional dyeing method, this work not only improves the recycling efficiency of waste cotton fabrics, but also reduces 28.4% in chemical consumption, 67.1% in dyeing costs, and 83.3% in waste disposal per cumulative ton of fabric production, providing an economical and promising new strategy for the industrial application of textile recycling and color management methods for waste textiles.
{"title":"Efficient color management in closed-loop recycling of cotton fabrics by using fiber modification and salt-free dyeing strategy","authors":"Fengxuan Zhang, Hanxing Wang, Qiangqiang Zhao, Jinxin He, Xia Dong","doi":"10.1016/j.jclepro.2025.144865","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144865","url":null,"abstract":"Color management and efficient decolorization of waste textiles have become a central focus, driving the need for transformative approaches in cotton textile recycling. There is an urgent need to develop a waste cotton textile closed-loop recycling strategy that is integrated with a new dyeing method to achieve efficient color management. By the method of fiber modification, salt-free dyeing and effective decolorization were simultaneously achieved in this study. The results show that the salt-free dyed cotton fabrics exhibited a significantly improved decolorization rate compared with the conventionally dyed fabrics, with a decolorization rate higher than 95% when using non-reactive dyes and a salt-alkali method, while maintaining mechanical properties comparable to the control cotton fabric. It was revealed that covalent bonding plays a critical role in decolorization efficiency, whereas the decolorization of salt-free dyed fabrics primarily resulted from the disruption of ionic bonds between the dyes and cationized fibers. The recycling feasibility of salt-free dyed cotton fabrics was also confirmed by evaluating the re-dyeing performance of decolorized fabrics by dyes with different colors, and the performance of multiple dyeing-decolorization cycles showed good stability, laid a solid foundation for the closed-loop recycling of cotton fabrics. Notably, compared with the conventional dyeing method, this work not only improves the recycling efficiency of waste cotton fabrics, but also reduces 28.4% in chemical consumption, 67.1% in dyeing costs, and 83.3% in waste disposal per cumulative ton of fabric production, providing an economical and promising new strategy for the industrial application of textile recycling and color management methods for waste textiles.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"31 16 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-23DOI: 10.1016/j.jclepro.2025.144835
Irina Kolupaieva, Mattias Lindahl
This paper explores the transition to a circular economy (CE) in Ukraine, emphasizing the critical role of circularity for sustainable growth. Leveraging European Green Deal frameworks, Ukraine’s shift towards CE presents potential GDP growth, significant reductions in carbon emissions, and substantial material cost savings. The analysis examines CE strategies to inform policy development and identify enablers and challenges for Ukraine’s integration into European circular models. Key research questions focus on policy frameworks, enablers, and collaboration for CE implementation. The study highlights CE benefits, including resource efficiency, job creation, and environmental protection. It recommends tailored policies on resource efficiency, green finance, and digital transformation, advocating for stronger shareholder networks to drive sustainable circular practices in Ukraine.
{"title":"Policy Recommendations for Building a Circular Ukraine","authors":"Irina Kolupaieva, Mattias Lindahl","doi":"10.1016/j.jclepro.2025.144835","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144835","url":null,"abstract":"This paper explores the transition to a circular economy (CE) in Ukraine, emphasizing the critical role of circularity for sustainable growth. Leveraging European Green Deal frameworks, Ukraine’s shift towards CE presents potential GDP growth, significant reductions in carbon emissions, and substantial material cost savings. The analysis examines CE strategies to inform policy development and identify enablers and challenges for Ukraine’s integration into European circular models. Key research questions focus on policy frameworks, enablers, and collaboration for CE implementation. The study highlights CE benefits, including resource efficiency, job creation, and environmental protection. It recommends tailored policies on resource efficiency, green finance, and digital transformation, advocating for stronger shareholder networks to drive sustainable circular practices in Ukraine.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"1 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-23DOI: 10.1016/j.jclepro.2025.144857
Adrian Lubecki, Jakub Szczurowski, Katarzyna Zarębska
LCA is challenged by uncertainties in both input data and LCA methodology, which must be addressed for reliable comparisons. This study introduces a novel Beta-DQR method, designed to robustly manage LCA uncertainties. The Beta-DQR method integrates the strenghts of the beta distribution and Data Quality Rating. The method starts with a contribution analysis to identify the most influential background data. It then calculates the quality of background data using a DQR rating system. The DQR values are transformed into beta distribution parameters, which are then used in Monte Carlo simulations. By conducting simulation runs, the method generates probabilistic results that account for data quality and variability using discrenibility analysis. An example of a comparative case study of bicycle and electric bicycle production was chosen to validate the Beta-DQR method. The case study topic was justified by the results of conducted social survey. The deterministic analysis indicated that the electric bicycle had a 13.51% higher carbon footprint than the standard bicycle. The Beta-DQR method revealed that the difference was not statistically significant when uncertainties were considered. This method also reduced the number of datasets requiring quality assessment from 22 to 5 for the standard bicycle and from 24 to 7 for the electric bicycle, thereby saving time while maintaining high reliability. The Beta-DQR method provides a better understanding of the LCA results, supporting environmental decision-making. It enhances LCA results reliability, offers a practical, time-efficient approach, and advances uncertainty management, particularly in comparative LCA of any complex systems.
{"title":"Uncertainty management in Life Cycle Assessment using the Beta-DQR method: e-mobility case study on bicycles production","authors":"Adrian Lubecki, Jakub Szczurowski, Katarzyna Zarębska","doi":"10.1016/j.jclepro.2025.144857","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144857","url":null,"abstract":"LCA is challenged by uncertainties in both input data and LCA methodology, which must be addressed for reliable comparisons. This study introduces a novel Beta-DQR method, designed to robustly manage LCA uncertainties. The Beta-DQR method integrates the strenghts of the beta distribution and Data Quality Rating. The method starts with a contribution analysis to identify the most influential background data. It then calculates the quality of background data using a DQR rating system. The DQR values are transformed into beta distribution parameters, which are then used in Monte Carlo simulations. By conducting simulation runs, the method generates probabilistic results that account for data quality and variability using discrenibility analysis. An example of a comparative case study of bicycle and electric bicycle production was chosen to validate the Beta-DQR method. The case study topic was justified by the results of conducted social survey. The deterministic analysis indicated that the electric bicycle had a 13.51% higher carbon footprint than the standard bicycle. The Beta-DQR method revealed that the difference was not statistically significant when uncertainties were considered. This method also reduced the number of datasets requiring quality assessment from 22 to 5 for the standard bicycle and from 24 to 7 for the electric bicycle, thereby saving time while maintaining high reliability. The Beta-DQR method provides a better understanding of the LCA results, supporting environmental decision-making. It enhances LCA results reliability, offers a practical, time-efficient approach, and advances uncertainty management, particularly in comparative LCA of any complex systems.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"13 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-23DOI: 10.1016/j.jclepro.2025.144847
Yue Wang, Yuyan Luo, Bin Lai
Reducing carbon emissions and improving carbon efficiency are crucial for sustainable tourism development. Effective measurement of tourism carbon efficiency and the accuracy of its spatial relationship can considerably pursure this target. Therefore, this study focuses on 271 prefecture-level cities in China and utilizes super-efficiency SBM-DEA to measure their tourism carbon efficiency. Furthermore, exporing the spatial association networks of these cities by using an improved gravity model and social network analysis. Finally, the QAP model was used to investigate network drivers. The results reveal that: (1) China’s tourism carbon efficiency shows an upward trend. However, considerable spatial heterogeneity exists, higher in eastern cities, lower in central and western cities. (2) The spatial association network of tourism carbon efficiency(SANTCE) has a strong overall correlation, the network structure is relatively stable and insignificant hierarchical structure. (3) SANTCE is characterized by a “core–edge” feature, the cities in the developed eastern regions occupy a dominant position and play an important role as controllers and bridges, whereas the central and western citys are the peripheral regions. (4) Different blocks in SANTCE show evident spatial polarization and diffusion effects. As the net inflow block, the Yangtze River Delta, Pearl River Delta, and Beijing can effectively attract and integrate the relevant factors and resources in net spillover blocks. They can also generate spillover effects to drive overall efficiency improvement. (5) Differences in industry structure, economic development, education level, and tourism market size have a positive effect on the formation of TCEAN, whereas differences in government intervention have a reverse effect.
{"title":"Spatial network analysis of tourism carbon efficiency: A study in Chinese prefecture-level cities","authors":"Yue Wang, Yuyan Luo, Bin Lai","doi":"10.1016/j.jclepro.2025.144847","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144847","url":null,"abstract":"Reducing carbon emissions and improving carbon efficiency are crucial for sustainable tourism development. Effective measurement of tourism carbon efficiency and the accuracy of its spatial relationship can considerably pursure this target. Therefore, this study focuses on 271 prefecture-level cities in China and utilizes super-efficiency SBM-DEA to measure their tourism carbon efficiency. Furthermore, exporing the spatial association networks of these cities by using an improved gravity model and social network analysis. Finally, the QAP model was used to investigate network drivers. The results reveal that: (1) China’s tourism carbon efficiency shows an upward trend. However, considerable spatial heterogeneity exists, higher in eastern cities, lower in central and western cities. (2) The spatial association network of tourism carbon efficiency(SANTCE) has a strong overall correlation, the network structure is relatively stable and insignificant hierarchical structure. (3) SANTCE is characterized by a “core–edge” feature, the cities in the developed eastern regions occupy a dominant position and play an important role as controllers and bridges, whereas the central and western citys are the peripheral regions. (4) Different blocks in SANTCE show evident spatial polarization and diffusion effects. As the net inflow block, the Yangtze River Delta, Pearl River Delta, and Beijing can effectively attract and integrate the relevant factors and resources in net spillover blocks. They can also generate spillover effects to drive overall efficiency improvement. (5) Differences in industry structure, economic development, education level, and tourism market size have a positive effect on the formation of TCEAN, whereas differences in government intervention have a reverse effect.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"110 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-22DOI: 10.1016/j.jclepro.2025.144822
Victor Guedes Barbosa, Renato Ribeiro Siman, Luciana Harue Yamane
Considering the lack of studies on the effects of standardizing portable electronic devices (PED) peripherals as a strategy to anticipate the generation of waste electrical and electronic equipment (WEEE) and considering that most of these peripherals are accumulated in drawers or disposed of with household waste, hindering possible WEEE management policies. This article aims to identify, systematize, and analyze the relationship between the main elements influencing the standardization of PED peripherals. In this context, the study seeks to foster a deeper and more assertive reflection on the relevance of this prevention strategy for promoting a more efficient and sustainable circular economy, while encouraging the expansion of academic studies on this topic, which is underexplored in the scientific literature. A total of 23 documents and 235 articles were analyzed, with 19 elements that influenced the standardization of PED chargers being systematized and discussed. As a result, it was found that the standardization of PED components for preventing WEEE generation is a relevant strategy but remains underexplored in the scientific literature. It was also observed that the main reasons for the lack of standardization of mature electrical and electronic equipment (EEE) components include the shortage of technical studies on the life cycle of these devices and the lack of socio-environmental awareness among stakeholders.
{"title":"STANDARDIZATION OF PORTABLE ELECTRONIC DEVICES AS A STRATEGY FOR PREVENTING E-WASTE GENERATION","authors":"Victor Guedes Barbosa, Renato Ribeiro Siman, Luciana Harue Yamane","doi":"10.1016/j.jclepro.2025.144822","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144822","url":null,"abstract":"Considering the lack of studies on the effects of standardizing portable electronic devices (PED) peripherals as a strategy to anticipate the generation of waste electrical and electronic equipment (WEEE) and considering that most of these peripherals are accumulated in drawers or disposed of with household waste, hindering possible WEEE management policies. This article aims to identify, systematize, and analyze the relationship between the main elements influencing the standardization of PED peripherals. In this context, the study seeks to foster a deeper and more assertive reflection on the relevance of this prevention strategy for promoting a more efficient and sustainable circular economy, while encouraging the expansion of academic studies on this topic, which is underexplored in the scientific literature. A total of 23 documents and 235 articles were analyzed, with 19 elements that influenced the standardization of PED chargers being systematized and discussed. As a result, it was found that the standardization of PED components for preventing WEEE generation is a relevant strategy but remains underexplored in the scientific literature. It was also observed that the main reasons for the lack of standardization of mature electrical and electronic equipment (EEE) components include the shortage of technical studies on the life cycle of these devices and the lack of socio-environmental awareness among stakeholders.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-22DOI: 10.1016/j.jclepro.2025.144805
Luyuan Peng, Wen-Jun Cao
The implementation of the circular economy (CE) in the construction industry has become a feasible solution for achieving sustainable development while reducing environmental impact. It is essential to systematically monitor, manage, and evaluate circularity within the construction industry based on the needs and interests of stakeholders, as this can provide evidence for circular practices. However, the integration of CE increases complexities in the stakeholder network of the construction industry. Many stakeholders lack clarity about their roles, requirements, and aspirations in circular projects, leading to ineffective, hesitant, and ambiguous utilization of various circular measurement methods. To address those problems, this paper adopts a systematic literature review approach to conduct a comprehensive and critical review of measuring circularity from a stakeholder perspective. The paper categorizes stakeholders into 7 key groups and identifies their needs and dilemmas at specific stages of the circular project life cycle. Additionally, this study reviews the current development of circularity measurements at different stages of the circular project life cycle and discusses how well they align with stakeholders' needs and dilemmas. Finally, this study finds that there have been various attempts, but several essential prerequisites for comprehensive measurement are missing or incomplete. Several recommendations for measuring circularity that align more closely with stakeholder needs and address their current dilemmas are proposed. These findings are intended to enhance the evaluation, regulation, and oversight of CE in the construction industry, as well as to promote CE implementation.
{"title":"Measuring Circularity in the Construction Industry: A Systematic Literature Review from the Stakeholder Perspective","authors":"Luyuan Peng, Wen-Jun Cao","doi":"10.1016/j.jclepro.2025.144805","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144805","url":null,"abstract":"The implementation of the circular economy (CE) in the construction industry has become a feasible solution for achieving sustainable development while reducing environmental impact. It is essential to systematically monitor, manage, and evaluate circularity within the construction industry based on the needs and interests of stakeholders, as this can provide evidence for circular practices. However, the integration of CE increases complexities in the stakeholder network of the construction industry. Many stakeholders lack clarity about their roles, requirements, and aspirations in circular projects, leading to ineffective, hesitant, and ambiguous utilization of various circular measurement methods. To address those problems, this paper adopts a systematic literature review approach to conduct a comprehensive and critical review of measuring circularity from a stakeholder perspective. The paper categorizes stakeholders into 7 key groups and identifies their needs and dilemmas at specific stages of the circular project life cycle. Additionally, this study reviews the current development of circularity measurements at different stages of the circular project life cycle and discusses how well they align with stakeholders' needs and dilemmas. Finally, this study finds that there have been various attempts, but several essential prerequisites for comprehensive measurement are missing or incomplete. Several recommendations for measuring circularity that align more closely with stakeholder needs and address their current dilemmas are proposed. These findings are intended to enhance the evaluation, regulation, and oversight of CE in the construction industry, as well as to promote CE implementation.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"28 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Air pollution remains a pervasive global threat, with far-reaching implications for both environmental sustainability and public health. While considerable research has examined the relationship between PM2.5 concentrations and their driving factors, the nonlinear contributions of these factors, especially across different urban contexts, remain insufficiently explored. This study seeks to bridge this gap by applying interpretable machine learning (XGBoost) to investigate the nonlinear impacts of meteorological, socio-economic, environmental, and architectural variables on PM10 and PM2.5 levels. Specifically, we aim to understand how these factors' contributions differ across three major urban agglomerations (UAs) in China. Our findings reveal notable spatial heterogeneity, with meteorological variables, such as temperature, AOD, and evapotranspiration playing a predominant role in the BTH region, while architectural factors have a more significant impact in the PRD, contributing more than 60%. In the YRD, increasing standard deviation of building height (SDBH) to 20-40m and average mean building height (MBH) to 15-20m are associated with lower PM10 concentrations. Notably, the impact of socio-economic activities on air pollution was also observed. For example, as NPP_VIIRS increased from 15 to 120, PM2.5 concentrations in the PRD region decreased from 14 μg/m³ to 11.5 μg/m³, a novel finding not previously highlighted in related studies. Furthermore, the relationship between GDP and PM2.5 concentrations follows a nonlinear pattern, initially rising and then declining, a pattern consistently observed across all UAs. Overall, this study underscores the spatial heterogeneity in the relationship between air pollutants and their driving factors, offering insights for region-specific pollution control strategies and broader global environmental management frameworks.
{"title":"Nonlinear effects of urban multidimensional characteristics on air pollution heterogeneity in China's urban agglomerations","authors":"Yikai Yang, Luoman Ouyang, Zhiqiang Wu, Qingrui Minyag Jiang, Renlu Qiao","doi":"10.1016/j.jclepro.2025.144813","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144813","url":null,"abstract":"Air pollution remains a pervasive global threat, with far-reaching implications for both environmental sustainability and public health. While considerable research has examined the relationship between PM<sub>2.5</sub> concentrations and their driving factors, the nonlinear contributions of these factors, especially across different urban contexts, remain insufficiently explored. This study seeks to bridge this gap by applying interpretable machine learning (XGBoost) to investigate the nonlinear impacts of meteorological, socio-economic, environmental, and architectural variables on PM<sub>10</sub> and PM<sub>2.5</sub> levels. Specifically, we aim to understand how these factors' contributions differ across three major urban agglomerations (UAs) in China. Our findings reveal notable spatial heterogeneity, with meteorological variables, such as temperature, AOD, and evapotranspiration playing a predominant role in the BTH region, while architectural factors have a more significant impact in the PRD, contributing more than 60%. In the YRD, increasing standard deviation of building height (SDBH) to 20-40m and average mean building height (MBH) to 15-20m are associated with lower PM<sub>10</sub> concentrations. Notably, the impact of socio-economic activities on air pollution was also observed. For example, as NPP_VIIRS increased from 15 to 120, PM<sub>2.5</sub> concentrations in the PRD region decreased from 14 μg/m³ to 11.5 μg/m³, a novel finding not previously highlighted in related studies. Furthermore, the relationship between GDP and PM<sub>2.5</sub> concentrations follows a nonlinear pattern, initially rising and then declining, a pattern consistently observed across all UAs. Overall, this study underscores the spatial heterogeneity in the relationship between air pollutants and their driving factors, offering insights for region-specific pollution control strategies and broader global environmental management frameworks.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"45 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-22DOI: 10.1016/j.jclepro.2025.144849
Long Xue, Shijie Ai
This paper provides evidence of the role of supply chain finance (hereinafter referred to as SCF) in the development of the manufacturing industry in China. As the world's largest manufacturing country and the second-largest economy, China presents a unique case for this study. Utilizing data from A-share manufacturing companies in Shanghai and Shenzhen from 2008 to 2021, we examine the impact of SCF on carbon emission reduction among manufacturing enterprises in China. The study finds that SCF contributes to reducing carbon emissions in manufacturing companies. After conducting a series of robustness tests and controlling for potential endogeneity issues, this conclusion remains valid. Regarding the transmission mechanism, SCF's contribution to carbon emission reduction in manufacturing firms occurs through the pathways of corporate financial availability and green technology innovation. Further research shows that the promotion effect of SCF on carbon emission reduction of manufacturing enterprises is more obvious in areas with strong environmental regulations and high level of digital economy development, as well as manufacturing enterprises with high supply chain concentration and strong management ability.
{"title":"How supply chain finance promote carbon emission reduction in manufacturing firms—Evidence from Chinese market","authors":"Long Xue, Shijie Ai","doi":"10.1016/j.jclepro.2025.144849","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144849","url":null,"abstract":"This paper provides evidence of the role of supply chain finance (hereinafter referred to as SCF) in the development of the manufacturing industry in China. As the world's largest manufacturing country and the second-largest economy, China presents a unique case for this study. Utilizing data from A-share manufacturing companies in Shanghai and Shenzhen from 2008 to 2021, we examine the impact of SCF on carbon emission reduction among manufacturing enterprises in China. The study finds that SCF contributes to reducing carbon emissions in manufacturing companies. After conducting a series of robustness tests and controlling for potential endogeneity issues, this conclusion remains valid. Regarding the transmission mechanism, SCF's contribution to carbon emission reduction in manufacturing firms occurs through the pathways of corporate financial availability and green technology innovation. Further research shows that the promotion effect of SCF on carbon emission reduction of manufacturing enterprises is more obvious in areas with strong environmental regulations and high level of digital economy development, as well as manufacturing enterprises with high supply chain concentration and strong management ability.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"10 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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