Journal of Cleaner Production最新文献

{"title":"Sustainable public green finance under domestic and global policy uncertainties: Does environmental policy stringency matter? Evidence from OECD nations using method of moments quantile-based analysis","authors":"Seyed Alireza Athari","doi":"10.1016/j.jclepro.2025.146704","DOIUrl":"10.1016/j.jclepro.2025.146704","url":null,"abstract":"<div><div>This study fills the gaps by probing how policy uncertainties and the stringency of environmental policies (EPS), as well as their interactions, affect sustainable public green finance (PGF) in a sample of 19 OECD nations. The analysis employs a method of moments quantile-based analysis using fixed effects from 1996 to 2023. To accomplish these objectives, the present study focused on various policy uncertainties, including economic policy (DEPU) and energy-related uncertainties (DEUI) at the national level, alongside climate policy (GCPU) and world uncertainties (WUI) at the international level. Additionally, we utilized the EPS index and its sub-indices, which encompass market-based, non-market-based, and technology support policies, to assess the impact of environmental strategies thoroughly. Remarkably, the findings underscore that a rise in DEPU and WUI leads to an increase in PGF, while DEUI and GCPU have an adverse effect. Particularly, the findings show that the unfavorable impact of DEUI is more significant at higher levels of PGF, whereas GCPU has a more significant effect at lower levels of PGF. Furthermore, the findings reveal that the EPS index and its sub-indices have positive effects, and stricter environmental policies lead to stimulating PGF. Moreover, the interaction results indicate that the favorable impacts of the DEPU and WUI are intensified with increasing EPS, while the adverse effects of DEUI and GCPU are moderated. The findings are robust and have important implications for policymakers and investors.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"528 ","pages":"Article 146704"},"PeriodicalIF":10.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183904","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}

{"title":"Aromatic enriched oil production via microwave-assisted catalytic co-pyrolysis of baked semen abutilon seeds and waste expanded polystyrene","authors":"Faizan Ahmad ,&nbsp;Yaning Zhang ,&nbsp;Zhihong Liu ,&nbsp;Wenke Zhao ,&nbsp;Wei Liu ,&nbsp;Yong Shuai","doi":"10.1016/j.jclepro.2025.146660","DOIUrl":"10.1016/j.jclepro.2025.146660","url":null,"abstract":"<div><div>Co-pyrolysis of biomass and plastic waste presents a promising strategy for waste valorization and fuel upgrading. This study explored microwave-assisted co-pyrolysis of expanded polystyrene (EPS) and Semen Abutilon seeds (SAS) using metal oxides (Al₂O₃, CaO), inorganic salts (Na₂CO₃, Fe(NO₃)₃·9H₂O), and zeolite (ZSM-5) as catalysts. The effects of catalyst type, microwave power (460–860 W), and pyrolysis temperature (400–600 °C) on oil yield and composition were evaluated. Using an EPS:SAS blend ratio of 2:1, optimal conditions were identified as 660 W and 500 °C, with CaO emerging as the most effective catalyst, achieving a maximum oil yield (70.53 wt%), thermal efficiency (47.33 %), and recovery efficiency (98.83 %). Compared to non-catalytic pyrolysis (52.02 wt%), CaO and Al₂O₃ increased oil yield by 35.56 % and 25.94 %, respectively, showing positive synergistic effects of 10.13 % and 2.79 %. The use of Fe(NO₃)₃·9H₂O resulted in oil with a high-calorific value (42.53 MJ/kg), while ZSM-5 reduced water content (from 12.60 to 3.37 wt%). Although SAS-derived oil was rich in oxygenated hydrocarbons (74.92 area%), catalytic co-pyrolysis promoted deoxygenation and aromatization reactions, yielding oil high in aromatic hydrocarbons (87.54–91.77 area%). These results confirm SAS and EPS as synergistic feedstocks capable of producing high-quality oils through microwave-assisted co-pyrolysis.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"528 ","pages":"Article 146660"},"PeriodicalIF":10.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145188852","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}

{"title":"Sustainable multigeneration via hybrid biomass-solar energy: Dynamic modeling, thermochemical storage, and green methane production","authors":"Arman Adouli ,&nbsp;Ayat Gharehghani ,&nbsp;Jabraeil Ahbabi Saray ,&nbsp;Amirali Shirzad ,&nbsp;Amin Mahmoudzadeh Andwari","doi":"10.1016/j.jclepro.2025.146753","DOIUrl":"10.1016/j.jclepro.2025.146753","url":null,"abstract":"<div><div>This paper presents the conceptual design, dynamic modelling, and comprehensive performance analysis of a novel biomass-solar hybrid multigeneration system producing heating, electricity, and green methane. This system integrates advanced thermodynamic components, including a supercritical CO₂ cycle, the S-Graz power cycle, a heliostat field, and a thermochemical energy storage subsystem utilizing the reversible CaCO₃/CaO reaction. To enable continuous 24-h operation, the system is configured in two distinct modes: a solar-driven daytime mode and a nighttime mode powered by stored thermal energy. A PEM electrolyzer and a methanation reactor are incorporated to convert captured CO₂ and produced hydrogen into green methane, promoting carbon circularity. A thorough 4E (energy, exergy, economic, and environmental) analysis is conducted alongside a detailed parametric and dynamic investigation across seasonal and hourly variations. Two different scenarios regarding methane generation are also considered and compared. Economic analysis yields a net present value of $44.83 million, an internal rate of return of 20.53 %, and a levelized cost of electricity of 8.01 cents/kWh, with a simple payback period of 6.03 years. Sensitivity analyses reveal that solar irradiance, biomass feed rate, and thermochemical heat storage ratios significantly impact overall system performance. The proposed hybrid system demonstrates a viable pathway for low-emission, multi-output energy production by integrating renewable resources with innovative carbon reuse technologies.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"528 ","pages":"Article 146753"},"PeriodicalIF":10.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195172","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}

{"title":"Removal of organic pollutants and recovery of crystalline salt from ammonium sulfate waste salt by antisolvent crystallization process","authors":"Xinyu Huang ,&nbsp;Hao Wang ,&nbsp;Saijun Lv ,&nbsp;Haoqing Zhang ,&nbsp;Chuqi Wang ,&nbsp;Xiuxiu Ruan","doi":"10.1016/j.jclepro.2025.146751","DOIUrl":"10.1016/j.jclepro.2025.146751","url":null,"abstract":"<div><div>The main challenge of industrial waste ammonium salt recycling is the efficient removal of organic pollutants. Conventional pyrolysis process cannot be used due to ammonium salts readily decompose at temperatures well below typical pyrolysis ranges, resulting in nitrogen loss and product alteration. To address this, an efficient antisolvent crystallization (ASC) method is developed for simultaneous organic pollutant removal and salt recovery. The results show that ethanol, as an efficient antisolvent, can achieve a total organic carbon (TOC) removal rate of approximately 96.44 % and a salt recovery rate of 85.07 % when used in a 2:1 vol ratio with the waste salt solution. The optimal operating conditions are a temperature range of 0–30 °C, a pH range of 2–8, and a reaction time of 60 min. Ethanol can be effectively recycled and reused for over seven times while maintaining approximately 93.99 % TOC removal efficiency. Elemental mapping of the waste salt after treatment shows a carbon content as low as 0.3 %, indicating efficient removal of organic pollutants. Compared to the maximum TOC removal rates achieved by pyrolysis(87.43 %) and advanced oxidation(86.17 %) processes, the ASC process demonstrates superior performance with a removal efficiency exceeding 95 % under ambient temperature conditions. Mechanism analysis reveals that adding ethanol to the saturated waste salt solution can induce salt ion recrystallization and release organic pollutants into the solution, thereby achieving efficient separation of salt and organic pollutants. This study provides an environmentally and economically feasible solution for the treatment of ammonium sulfate waste salt.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"528 ","pages":"Article 146751"},"PeriodicalIF":10.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195176","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}

{"title":"Integration effects on agricultural cooperative performance: A study case in Java Island, Indonesia","authors":"Abi Pratiwa Siregar ,&nbsp;Cathal O'Donoghue ,&nbsp;Becky Whay","doi":"10.1016/j.jclepro.2025.146737","DOIUrl":"10.1016/j.jclepro.2025.146737","url":null,"abstract":"<div><div>Agricultural cooperative development in Indonesia is closely linked to government intervention. Policymakers have advocated for a federation system that integrates agricultural sector programmes with cooperatives at both national and rural levels. This study aims to assess the effects of such integration on the performance of agricultural cooperatives by analysing data from annual reports of cooperatives for 2022 and 2023. Furthermore, through the use of panel data regression and Data Envelopment Analysis (DEA), framed within Transaction Cost Theory (TCT), Resource Dependence Theory (RDT), and Dynamic Capabilities Theory (DCT), this research explores how federated integration affects cooperative performance. Various types of integrated services were examined to understand how their characteristics and implementation relate to performance outcomes. By linking theoretical frameworks with empirical evidence, this study provides detailed insights into how integration can enhance cooperative performance and underscores the importance of adapting integration strategies to evolving operational environments.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"528 ","pages":"Article 146737"},"PeriodicalIF":10.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145188858","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}

{"title":"Mechanistic insights into acidification-augmented coagulation: optimizing cyanobacterial removal and disinfection by-products control","authors":"Xin Chen ,&nbsp;Yunlu Jia ,&nbsp;Lili Li ,&nbsp;Jun Ma ,&nbsp;Xuezhi Zhang ,&nbsp;Haiyang Zhang","doi":"10.1016/j.jclepro.2025.146722","DOIUrl":"10.1016/j.jclepro.2025.146722","url":null,"abstract":"<div><div>This study develops an acidification-enhanced coagulation (AEC) strategy that selectively modulates algal organic matter (AOM) through pH-controlled interfacial engineering. By implementing mild acid pretreatment (pH 5), the process specifically targets AOM, inducing 54.1 % and 51.7 % reduction of low-polarity proteins and polysaccharides via electrostatic-mediated aggregation, revealed by FT-ICR-MS analysis. The resultant insoluble polymer formation eliminates competitive coagulant-AOM interactions while maintaining cell integrity, contrasting with conventional pre-oxidation that triggers cellular damage. Mechanistic studies reveal the critical role of protonation in modifying AOM's surface charge distribution, thereby enabling effective separation through charge neutralization. At optimal conditions, AEC achieves 60 % coagulant savings and concurrently reduces disinfection by-products (DBPs) formation potential by 30 % (compared with traditional coagulation). The dual mechanism of selective AOM removal and cell integrity maintaining positions this pH-responsive strategy as a sustainable alternative for drinking water treatment plants combating cyanobacterial blooms, particularly in scenarios requiring minimized chemical footprint and enhanced process safety.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"528 ","pages":"Article 146722"},"PeriodicalIF":10.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195173","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}

{"title":"Implementing circular economy principles in micro heat sink development: A techno-economic-sustainability analysis","authors":"Mohammad Harris,&nbsp;Hongwei Wu","doi":"10.1016/j.jclepro.2025.146731","DOIUrl":"10.1016/j.jclepro.2025.146731","url":null,"abstract":"<div><div>Sustainable manufacturing solutions are urgently needed with rising environmental pressures and cost volatility. This paper investigates sustainable product development strategies for micro heat sinks by integrating circular economy principles, emerging technologies, and green manufacturing practices. Analysing a UK–China cross-case hybrid production model, the study compares strategies in terms of energy efficiency, cost savings, and environmental impact. The hybrid approach balances economic, ecological, and resource consumption goals by producing simpler components in-house while outsourcing complex parts. Results show a 19 % reduction in carbon emissions, 29 % energy savings, and 43 % cost reduction. Sustainable design, green manufacturing, and end-of-life management further contribute to environmental benefits. Machine learning models validated the cost-saving outcomes, achieving R² values exceeding 0.98. Finally, the study proposes a Sustainable Hybrid Intelligence Framework (SHIF) to demonstrate the feasibility of hybrid manufacturing as a sustainable solution for future micro heat sink production.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"527 ","pages":"Article 146731"},"PeriodicalIF":10.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227729","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}

{"title":"Sustainable biodiesel synthesis from multi-feedstock systems: Integrating convolutional neural networks with life cycle assessment for energy-climate trade-off analysis","authors":"Xin Jin ,&nbsp;Jiangjing Shi ,&nbsp;Yunyi Liang ,&nbsp;Haoran Ye ,&nbsp;Qin Wang ,&nbsp;Xiumei Zhang ,&nbsp;Yaoli Zhang ,&nbsp;Hui Li ,&nbsp;Changlei Xia","doi":"10.1016/j.jclepro.2025.146723","DOIUrl":"10.1016/j.jclepro.2025.146723","url":null,"abstract":"<div><div>Biodiesel is widely regarded as a viable alternative to fossil fuels and a strategic approach to mitigating climate change. Its production, primarily through the transesterification of plant- or waste-based biomass, is influenced by a variety of experimental factors, including catalyst type, reaction temperature, and feedstock properties. However, conducting the optimization of experimental procedures and comprehensive environmental assessment remains challenging due to the diversity of feedstocks and the variability in reaction conditions, which introduce significant complexity and uncertainty in increasing the production of biodiesel while reducing its environmental impact. To address this challenge, in this work, the integration of machine learning (ML) and life cycle assessment (LCA) in biodiesel production offers a powerful approach to improving both environmental and economic performance. We compared the predictive accuracy of five ML models for biodiesel yield based on transesterification reaction. The results indicated that the Convolutional Neural Network could be a more suitable model for accurate biodiesel yield prediction because of its lowest validation RMSE (5.667) and highest correlation coefficient value (0.9165). In addition, we analyzed the environmental impact of different biomass conversion though LCA. The LCA showed methanol consumption contributed over 90 % of environmental impacts in virgin oils, while waste cooking oil's main burden came from regeneration, contributing 41.0–99.9 % depending on the impact category. This ML-LCA coupling not only improves the accuracy of process optimization but also provides a holistic view of environmental trade-offs across diverse feedstocks, paving the way for smarter and greener biodiesel production strategies.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"527 ","pages":"Article 146723"},"PeriodicalIF":10.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183122","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}

{"title":"Hydrophobic and hydrophilic dissolved organic matter: Mechanistic insights into its influence on sediment phosphorus release revealed through multifaceted characterization","authors":"Jing Liu ,&nbsp;Yuntao Luo ,&nbsp;Yiru Wang ,&nbsp;Lixin Jiao ,&nbsp;Weizhen Zhang ,&nbsp;Liansheng He ,&nbsp;Yunxing Xiao ,&nbsp;Yaping Liu ,&nbsp;Xinxin Huang","doi":"10.1016/j.jclepro.2025.146721","DOIUrl":"10.1016/j.jclepro.2025.146721","url":null,"abstract":"<div><div>The role of dissolved organic matter (DOM) in phosphorus (P) cycling in aquatic ecosystems is essential. To the best of our knowledge, no study has yet examined the impacts of the hydrophilic (HIM) and hydrophobic (HOM) fractions of DOM on P release at the molecular level. In this work, Fourier transform infrared spectroscopy (FTIR), electron paramagnetic resonance (EPR), carbon-13 nuclear magnetic resonance (¹³C NMR), elemental analysis (EA), and Fourier transform ion cyclotron resonance mass spectrometry coupled with electrospray ionization (ESI-FT-ICR-MS) were employed to gain deeper insights into the characterization of two sets of DOM fractions. Incubation experiments were then designed to analyse their impact on soluble phosphorus (SRP) release. Herein, we demonstrated the distinctly different roles of HIM and HOM in P release from sediments. Adding HIM inhibited SRP release from the sediment, whereas HOM promoted it. Mechanism diagrams illustrated that the carboxyl and hydroxyl groups on HIM, along with the superoxide radical ions (•O₂⁻) produced by HIM, play a critical role in suppressing the release of Fe-bound P. Furthermore, the results of the incubation experiments indicated that the maximum release and average flux in the HOM treatment were 2.35 mg/kg and 0.66 mg/(m²·d), respectively, representing a 73.17 % increase in SRP release compared to the control. In contrast, in the HIM treatment, the values were 0.28 mg/kg and 0.10 mg/(m²·d), respectively, indicating a 79.08 % decrease. Therefore, future efforts should focus on leveraging the P removal capacity of HIM while prioritizing the elimination of HOM. Our study uncovers the effects of HIM and HOM on P release at the molecular level, offering a scientific foundation for effective management of P cycling in aquatic ecosystems.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"527 ","pages":"Article 146721"},"PeriodicalIF":10.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183124","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}

{"title":"Smart farming revolution: Leveraging machine learning for sustainable agriculture","authors":"Weiye Wang ,&nbsp;Qing Li","doi":"10.1016/j.jclepro.2025.146434","DOIUrl":"10.1016/j.jclepro.2025.146434","url":null,"abstract":"<div><h3>Problem</h3><div>In today's world, agriculture faces several challenges, including environmental degradation, crop diseases, and ineffective resource utilization. These challenges affect sustainability as well as food security.</div></div><div><h3>Method</h3><div>ology: In order to address the above-mentioned problems, several machine learning (ML) approaches, namely, Convolutional Neural Network (CNN), Random Forest (RF), Long Short Term Memory (LSTM), and other deep neural models, were used. These techniques aid in maximizing resource allocation, improving climate resilience, and enhancing early disease detection in agricultural ecosystems. Data for this study were collected through a questionnaire survey from 847 farmers across three main regions of China and were filtered using random sampling. Moreover, the collected data were analyzed through the Statistical Package for the Social Sciences (SPSS).</div></div><div><h3>Results</h3><div>The ML-based technique improved productivity, reduced operational costs, and enhanced sustainability. It attained a 20 % crop yield increase, minimized water consumption by 15 %, and reduced pesticide costs by $5000 per year in comparison to conventional farming practices.</div></div><div><h3>Impact</h3><div>This study shows the ability of ML technologies to revolutionize traditional agriculture, fostering stronger and sustainable agriculture systems that can sustain contemporary demands without compromising ecological and economic stability.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"527 ","pages":"Article 146434"},"PeriodicalIF":10.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227756","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}