{"title":"Effectiveness of the city cluster development strategy on urban carbon reduction: Evidence from 286 cities in China","authors":"Yuan Liu, Xinyang Dong, Can Wang","doi":"10.1016/j.jclepro.2025.145864","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145864","url":null,"abstract":"As a key focus of the new urbanization plan and regional economic coordination, the city cluster development strategy (CCDS) is regarded as a critical policy for economic development and low-carbon transition. However, existing research mainly focused on the effects of urban agglomeration in economically developed regions, deficient in the holistic understanding of CCDS’s heterogeneities and mechanisms. Based on a panel dataset of 286 cities in China from 2005 to 2022, this study employs a difference-in-differences (DID) model to evaluate the impact of CCDS on city-level carbon reduction. The results indicate that the CCDS has significantly decreased carbon intensity by 5.1% with a gradual strengthening trend over time, but the policy effect on total carbon emission is insignificant. The heterogeneous analysis shows that late-developing regions have received larger policy effects. Western, resource-dependent, low administrative, medium and small cities experienced larger carbon intensity reduction under the CCDS. This study has validated three transmission mechanisms of CCDS, including optimizing industrial structure, fostering green innovation, and enhancing cleaner production. Furthermore, an exploration of policy synergy between CCDS and three pilot low-carbon policies reveals that policy mixes between CCDS and market-oriented low-carbon policies (e.g., the Carbon Emission Trading Pilot and Green Finance Reform Pilot Zones) have larger and more widespread carbon reduction effects than the effect of a single city cluster strategy in most city types. However, the synergistic effects between the CCDS and Low-carbon City Pilots could only be found in late-developing eastern regions in China.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"7 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189014","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}
Jie Chen, Wei Wang, Wenyuan Sun, Jianhan Chen, Qin Wang, Tao Li
{"title":"Oilfield sustainable development: An operation optimization study for the water-flooding pipeline network system based on data fusion","authors":"Jie Chen, Wei Wang, Wenyuan Sun, Jianhan Chen, Qin Wang, Tao Li","doi":"10.1016/j.jclepro.2025.145866","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145866","url":null,"abstract":"Water flooding is a widely employed technique for enhancing oilfield recovery, and the oilfield water-flooding pipeline network system (OWPNS) is a major energy consumer in the oilfield. However, the difficulty in describing the injection-production relationship and the complex network structure present challenges for optimizing the operation of OWPNS in current studies. A multi-objective mixed-integer nonlinear programming model was developed, incorporating the reservoir characteristics described by the injection-production relationship and considering various constraints, such as injection well operation, pressure balance, and wastewater treatment process. Due to the nonlinearity and multi-objective nature of the proposed model, the piecewise linearization method and augmented epsilon-constraint method were employed to convert the optimization model into a mixed-linear programming problem. In addition, the reservoir system was conceptualized as a signal system, and the injection-production relationship was quantitatively evaluated using the Extended Kalman Filter, thereby providing boundary parameters of the injection-production relationship for the optimization model. Numerical experiments demonstrated that Extended Kalman Filter not only effectively quantified the injection-production relationship but also tracked its variations over time. Furthermore, case studies showed that the optimization model exhibited good applicability to complex network structures. For example, stop valves effectively regulated the flow distribution, and storage tanks played a crucial buffering role, enhancing operational flexibility. This study achieved the coupling of the OWPNS with reservoir characteristics and offers valuable insights for developing a digital twin-driven intelligent water-flooding system.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"6 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144183955","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":"How does coupling coordination between industrial structure optimization and ecosystem services dynamically affect carbon emissions in the Yellow River Basin?","authors":"Ruixiang Xue, Runde Gu, Tzesan Ong","doi":"10.1016/j.jclepro.2025.145872","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145872","url":null,"abstract":"In the Yellow River Basin (YRB), the dominance of coal mining and petrochemical industries, coupled with persistent ecosystem degradation, has contributed to increasing carbon emissions (CE). As industrial development has outpaced ecological restoration, aligning industrial structure optimization (ISO) with ecosystem services (ES) has become a strategic priority for emission control. This study examines the dynamic impact of ISO–ES coupling coordination on CE using panel data from 2011 to 2023. The coupling coordination degree model is employed to assess the ISO–ES interaction, while the dynamic spatial Durbin model captures temporal effects, spatial spillovers, and regional heterogeneity of ISO-ES coupling coordination on CE. The findings reveal notable progress in pollution control within the YRB, with steady improvements in ISO-ES coupling coordination; however, carbon emissions continue to grow, albeit slowly. Pronounced spatial spillover effects were also identified, such that ISO-ES coupling coordination impacts not only the YRB’s carbon emissions but also those of adjacent regions. Dynamic analysis further found that while ISO-ES coupling coordination significantly reduces carbon emissions, its effect gradually weakens over time. In terms of heterogeneity, the negative impact of ISO-ES coupling coordination on carbon emissions appears to diminish from upstream to downstream regions, exhibiting a converging trend. This study provides empirical evidence to support the implementation of differentiated incentives, dynamic monitoring mechanisms, and the establishment of a regionally coordinated carbon trading system, thereby contributing to the advancement of national clean production transformation.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"6 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188974","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 Forest Management Through Certification and Wood Products Trade: Analyzing the Role of the FSC Across Diverse Economic and Climatic Contexts","authors":"Inoussa Boubacar, Yaya Sissoko","doi":"10.1016/j.jclepro.2025.145786","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145786","url":null,"abstract":"This study investigates the role of Forest Stewardship Council (FSC) certification in advancing sustainable forest management and influencing forest cover changes across 70 countries from 2000 to 2021. Using dynamic panel data model and Generalized Method of Moments (GMM) estimations, the analysis addresses endogeneity concerns, such as those stemming from lagged dependent variables, providing robust and unbiased estimates. Results indicate that FSC certification significantly enhances forest cover, with the most pronounced effects observed in low- and middle-income countries. Additionally, the study explores how FSC certification interacts with income levels and climatic conditions, revealing region-specific variations in its effects. These findings highlight the importance of market-based conservation tools, such as FSC certification, which align economic incentives with sustainability objectives. The analysis provides practical insights, recommending the integration of FSC certification into responsible trade practices and the development of regionally tailored forest management strategies to maximize conservation outcomes.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"11 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188972","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":"Green Technology Investment in Competitive Supply Chains: Exploring Technology Spillovers and Altruistic Preferences under Carbon Tax Policy","authors":"Dandan Wu, Hao Ding, Yang Cheng","doi":"10.1016/j.jclepro.2025.145871","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145871","url":null,"abstract":"Green technology plays a vital role in reducing carbon emissions, helping firms lower their carbon-related costs while enhancing market competitiveness. However, technology spillovers and manufacturers’ altruistic preferences towards downstream retailers significantly impact green technology investment decisions. This paper explores these decisions within competitive supply chains under carbon tax policy, focusing on the interactions between horizontally competing manufacturers and their altruistic behavior toward retailers. This study models several scenarios: no investment, unilateral investment, and bilateral investment. It is revealed that strong technology spillovers can discourage manufacturers from pursuing green technology investments due to the potential to benefit from competitors’ advancements. In contrast, weaker spillovers encourage greater investment. Furthermore, higher altruistic preferences among manufacturers lead to increased green technology investments, boosting retailer profits. However, manufacturers with limited absorptive capacity may face disadvantages in a bilateral investment setting. These findings offer insights into how the interplay of technology spillovers and altruistic preferences shapes green technology investment strategies, hence contributing to more effective policy and strategic decision-making in competitive supply chains.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"26 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176754","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":"How the correlation between electricity prices and emission intensity affects the economic and ecological potential of industrial demand-side flexibility measures","authors":"Nadine Gabrek, Stefan Seifermann","doi":"10.1016/j.jclepro.2025.145863","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145863","url":null,"abstract":"In the scope of the energy transition, many studies proclaim the high potential of industrial demand-side management for providing flexibility to support the integration of volatile renewable energies into the energy system. By shifting loads from times with high emission intensity of the electricity mix to times with lower emissions, demand-side flexibility further contributes to an indirect reduction in greenhouse gas emissions. Although contributions to climate neutrality are welcome for marketing purposes, corporate decision-making processes are mainly driven by cost-based factors. Consequently, flexibility measures are primarily managed with a view to maximizing cost savings.In order to investigate the relationship between cost savings and the emissions reduction potential of flexibility measures, this study analyses the correlation between price signals of the day-ahead market and the emission intensity of the German electricity mix. In addition, the deviations in the cost and emissions savings of flexibility measures are evaluated by optimizing them with regard to the highest possible cost savings and the maximum reduction in emissions.While there is a strong correlation between the day-ahead price and emission intensity, the two optimization approaches show considerable differences in cost and emissions savings. The results indicate that a purely electricity price-driven management of flexibility measures does not exploit a large part of the potential emissions reduction. This gap can be closed by providing suitable incentives to prioritize emissions reduction more strongly in the management of flexibility measures or by taking better account of the current emission intensity of the electricity mix in electricity pricing.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"3 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176755","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":"Spatial correlation network of China's carbon emissions and its influencing factors: Perspective from social network analysis","authors":"Xuerui Yang, Lianmei Zhu","doi":"10.1016/j.jclepro.2025.145671","DOIUrl":"10.1016/j.jclepro.2025.145671","url":null,"abstract":"<div><div>Illustrating the features of the spatial correlation network and influencing factors of carbon emissions is crucial for achieving “carbon peaking” and “carbon neutrality” goals. This study constructs a spatial correlation network for China's inter-provincial carbon emissions from 2013 to 2022 using a modified gravity model. Social network analysis (SNA) is applied to delineate network features across overall, individual, and clustering dimensions. A nonlinear quadratic assignment procedure (QAP) is employed to investigate the influencing factors. Our findings revealed that: (1) Based on overall and individual network features analysis, our findings revealed significant spatial interdependencies among provincial administrative regions regarding carbon emissions, displaying a “core-periphery” structure within the spatial network. (2) According to spatial cluster analysis, the provincial administrative regions are categorized into four distinct clusters. Most coastal developed regions are grouped into the “isolate” cluster, while the majority of central and western regions are classified within the “sycophant” cluster. The capital city and its vicinity, as well as the mid-lower reaches of the Yangtze River, constitute the “primary” block, and most of the northwest as well as northeast regions fall into the “broker” block. (3) According to QAP analysis, geographical adjacency, economic development levels, opening-up levels, industrial structures, and population density are all correlated with spatial carbon emission correlations. Consequently, in managing carbon emissions, it is imperative to adopt a regional collaborative governance approach, focusing not only on individual province emissions reduction efforts but also on the interconnected carbon emission dynamics among provinces.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"516 ","pages":"Article 145671"},"PeriodicalIF":9.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178255","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":"Integrated Coordination of Production Scheduling, Preventive Maintenance, and Energy Conservation in Flexible Manufacturing Environments","authors":"Yu Wang, Tangbin Xia, Yaping Li, Shuo Gao, Dong Wang, Lifeng Xi","doi":"10.1016/j.jclepro.2025.145856","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145856","url":null,"abstract":"The focus of this study is on the integration and coordination of three critical tasks -production scheduling, preventive maintenance, and energy conservation - within flexible manufacturing environments. Following the investigation, the current research predominantly emphasizes the simplistic joint optimization of only two tasks while neglecting important considerations: 1) potential incompatibilities between production and maintenance activities on the same machine; and 2) the necessity of ensuring that machines are in an off-state before conducting maintenance activities. This study addresses these gaps by comprehensively considering the inherent interdependencies among the three tasks when formulating the mathematical model. The model incorporates factors such as variable job processing times due to machine degradation and maintenance activities, unpredictability in maintenance requirements arising from diverse job assignments, and energy consumption involving machine on/off control strategies. Unlike traditional decomposed approaches, this study proposes a synchronous optimization approach that effectively handles conflicts arising from the concurrent execution of all three tasks on any machine. To optimize the solution, an improved multi-objective optimization algorithm, which integrates discrete particle swarm optimization with simulated annealing (IMDPSSA), is devised to obtain Pareto approximate optimal solutions that efficiently balance economic, reliability, and sustainability objectives. Ultimately, an illustrative example is provided to demonstrate the applicability of the proposed methodology, which thoroughly examines job assignments, maintenance activities, and machine on/off procedures. Extensive experiments are further conducted to showcase the superior performance of the presented methodology and algorithm in terms of solution quality and objective values through rigorous comparisons with existing research.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"57 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176753","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":"Does the new environmental protection law hinder the development of new quality productive forces in industrial enterprises? A quasi-natural experiment in China","authors":"Jiaqi Wang, Zeyu Wang, Haojie Wang, Tingqiang Chen","doi":"10.1016/j.jclepro.2025.145870","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145870","url":null,"abstract":"New Quality Productive Forces (NQPF) refers to a modern form of productivity driven by factors such as informatization, digitalization, and technological advancements. With the implementation of global environmental regulations, such as the European Union's Carbon Border Adjustment Mechanism, Chinese enterprises face an urgent need to transition from traditional production to net-zero product-focused factories. However, the influence of environmental regulations on the development of NQPF within enterprises remains a largely unexplored area. This paper takes A-share listed industrial enterprises in China from 2010 to 2022 as the research object, takes the implementation of the New Environmental Protection Law (NEPL) in 2015 as a quasi-natural experimental scenario, constructs a comprehensive evaluation index system of enterprises' NQPF from the perspective of factor input and output efficiency, and constructs a difference-in-differences model to examine the impact of commanded environmental regulation on the development of enterprises' NQPF. The results show that: 1) The implementation of the NEPL significantly reduces both the factor input and output efficiency of NQPF in heavily polluting enterprises, with a more pronounced effect on input than output. 2) Sub-index analysis reveals that the law significantly inhibits new labor, labor tools, labor objects, technological innovation, and industrial transformation in heavily polluting enterprises, although it has a markedly positive effect on the allocation of production factors. 3) Mechanism analysis suggests that the NEPL suppresses the input and output of NQPF in heavily polluting enterprises through cost, risk, and supervisory effects. The findings of this study offer empirical evidence to inform the design of environmental policies and ecological rule-of-law frameworks guiding the development of enterprises' NQPF.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"37 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176756","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}
Shahzad Alvi, Imtiaz Ahmad, Shahzada Naeem Nawaz, William Cornell, Muhammad Khalid Anser, Mehboob Ul Hassan
{"title":"The Role of Green Finance, Energy Transition, and Digitalization in OECD Green House Gas Emissions","authors":"Shahzad Alvi, Imtiaz Ahmad, Shahzada Naeem Nawaz, William Cornell, Muhammad Khalid Anser, Mehboob Ul Hassan","doi":"10.1016/j.jclepro.2025.145865","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145865","url":null,"abstract":"Sustainable development involves finding a balance between economic growth, environmental protection, and social responsibility. Successful energy transition, green finance and digitalization are important to achieve net-zero carbon emissions by 2050. This study examines the effect of key drivers of environmental sustainability on the greenhouse gas emissions of 31 OECD economies from 2000-2020. This study proposes a policy framework to advance SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action) in OECD economies and to fill a literature gap by providing empirical evidence on the combined effect of technological innovation (environmental patents), energy transition, and green finance in OECD economies. The study employed various empirical estimation techniques, including the Fully Modified Ordinary Least Squares, the Feasible Generalized Least Squares, Method of Moment Quantile Regression (MMQR), Quantile Regression, and Dumitrescu and Hurlin causality test. Our findings revealed that energy transition, digitalization, environmental patents, renewable energy, and green finance, help in reducing greenhouse gas emissions (GHGs) thus promoting environmental sustainability. Whereas economic growth, urbanization, and trade liberalization increase carbon emissions in the OECD economies. Moreover, the study also indicates the presence of bidirectional causality between these drivers. This study contributes to the existing literature by offering new empirical evidence on the interactions between green finance, energy transition, digitalization and GHG emissions in OECD countries.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176758","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}