Sustainable Production and Consumption最新文献

{"title":"Consensus-based elicitation and analysis of product sustainability requirements for effective strategy formulation in product design","authors":"Rujing Wu ,&nbsp;Jing Tao ,&nbsp;Suiran Yu","doi":"10.1016/j.spc.2025.10.015","DOIUrl":"10.1016/j.spc.2025.10.015","url":null,"abstract":"<div><div>Integrating sustainability into product design, especially in the early stages, is a critical challenge. Manufacturers must translate broad, strategic sustainability objectives into actionable design requirements and effectively prioritize them from a life-cycle perspective to develop high-impact sustainability strategies. This study addresses this challenge by proposing a novel method framework for the elicitation, evaluation, and analysis of sustainability requirements (SRs). The framework begins with a multi-level sustainability requirement model that translates abstract strategic-level sustainability objectives into specific, actionable SRs, thereby integrating sustainability into the early design process. To further enhance decision-making, the framework incorporates Dempster-Shafer Theory (Evidence Theory) to quantify consensus among expert evaluations, resolve conflicts, and ensure decisions are both accurate and widely accepted. Next, the method integrates Decision-Making Trial and Evaluation Laboratory (DEMATEL) to identify SR interrelationships, Analytical Network Process (ANP) to prioritize them, and Total Adversarial Interpretive Structure Model (TAISM) to develop robust sustainability strategies. Rather than focusing solely on SR weight, the method emphasizes the prioritization of SR combinations that yield higher potential based on their mutual impacts. A case study on sustainable machine tools demonstrates the framework's effectiveness, with SRs comprehensively elicited, expert consensus improving from 0.7985 to 0.9260, and sustainability strategy performance improving by up to 37.6 %. An exploratory effort to integrate generative AI into sustainability requirement evaluation is also undertaken, aiming to significantly enhance decision-making efficiency. This work contributes to sustainable production and consumption by providing a systematic, stakeholder-aligned approach to generating sustainability strategies that prioritize the most impactful sustainability requirement combinations, thus driving more effective, long-term sustainable product design.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 118-133"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145475481","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":"Exploring behavioural intentions behind biochar technology adoption in agriculture","authors":"Mariavittoria Perrone ,&nbsp;Giordano Ruggeri ,&nbsp;Alberto Tosca ,&nbsp;Edoardo Verga ,&nbsp;Chiara Mazzocchi","doi":"10.1016/j.spc.2025.10.009","DOIUrl":"10.1016/j.spc.2025.10.009","url":null,"abstract":"<div><div>This study examines Northern Italian farmers' intentions to adopt biochar by applying the Technology Acceptance Model and an extended specification tailored to sustainability contexts. A cross-sectional telephone survey of farmers (<em>n</em> = 131) was analysed using partial least squares structural equation modelling. We estimate a baseline model that includes perceived usefulness, perceived ease of use, subjective norm, image, job relevance, output quality, and result demonstrability, as well as an extended model that adds climate-change awareness, perceived economic value (price–value), and perceived external control/support.</div><div>Across specifications, intention to adopt is positively related to perceived usefulness and perceived ease of use. In the extended model, the economic value proposition emerges as the most salient antecedent of perceived usefulness, with additional contributions from output quality, result demonstrability, and awareness of climate change. By contrast, social-influence pathways (subjective norm, image) are weak or inconsistent.</div><div>The exploratory findings suggest that, in a voluntary setting with generally low prior knowledge, farmers' intentions are most consistent with instrumental, value-for-money judgments and the perceived simplicity of implementation, rather than social endorsement. Interpretations are correlational and are bound to a sample of Northern Italian farmers. Practical implications include demonstrating credible agronomic and economic benefits, reducing perceived complexity, and ensuring visible support for early adopters. Future research should validate these patterns longitudinally and in other countries and awareness stages.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 66-81"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425607","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":"Exploring dietary transition and its environmental mitigation effects in China","authors":"Yiwei Wang ,&nbsp;Yuping Bai ,&nbsp;Xiangzheng Deng ,&nbsp;Gaurav Sikka ,&nbsp;Yecui Hu ,&nbsp;Yangfan Chen ,&nbsp;Guofeng Wang","doi":"10.1016/j.spc.2025.10.006","DOIUrl":"10.1016/j.spc.2025.10.006","url":null,"abstract":"<div><div>The challenge of reversing the vicious cycle between climate change and food systems is attracting considerable attention. However, building a sustainable dietary system in line with China's national conditions remains a challenging endeavor. By developing a multi-regional input-output model at high sector resolution for China encompassing 31 provinces and 163 sectors, we investigate five diet-related environmental footprint indicators, assess the environmental impacts of dietary consumption and design five possible future dietary strategies to explore their potential environmental mitigation effects in China. Our findings revealed significant spatial heterogeneity in the environmental footprints of food consumption adopting different dietary strategies. The comprehensive dietary strategy could reduce environmental pressure by 3 %–15 %. The most significant effect would be a reduction by 146.82 Mt CO₂eq in greenhouse gas (GHG) footprint and 33.71bcm in water use footprint relative to the business-as-usual scenario, equivalent to about 10 % of current agricultural GHG emissions and water use. This environmental benefit is largely due to reduced cereals and red meat consumption. Achieving a sustainable dietary shift would require the concerted efforts of diverse stakeholders.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 37-47"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425603","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":"Status of European food ecolabels based on life cycle assessment: methodological challenges toward convergence","authors":"Huayang Zhen ,&nbsp;Bjørn Aamand Andersen ,&nbsp;Vincent Colomb ,&nbsp;Koen Boone ,&nbsp;Lisbeth Mogensen ,&nbsp;Fatemeh Hashemi ,&nbsp;Marie Trydeman Knudsen","doi":"10.1016/j.spc.2025.10.012","DOIUrl":"10.1016/j.spc.2025.10.012","url":null,"abstract":"<div><div>Ecolabels play a crucial role in achieving responsible production and consumption. Current LCA-based food ecolabels suffer from inconsistent methodologies, leading to significant variability in the estimated sustainability performance for the same product. To address the methodological challenges, we investigated 31 food ecolabels based on LCA from the EU countries, Norway, the UK, and Switzerland. Data were collected through questionnaires and systematically analysed. The analysis revealed significant heterogeneity in the methodologies behind the different food ecolabels, with variations in functional units, system boundaries, impact categories assessed, etc. Ecolabels exhibited a wide range of label formats regarding gradation type, score/value type, and impact category aggregation type, showcasing diverse approaches to communicating sustainability performance. The Product Environmental Footprint (PEF) and some PEF Category Rules (PEFCRs) are available for the LCA methodology used for the calculation, even though they need to be further tailored. However, no standards or guidelines are available for guiding the communication of LCA results with consumers in term of label formats at the EU level. Finally, the identified methodological challenges were discussed, emphasising the need for regulatory standards to address the diversity in ecolabeling practices and to guide the development of a more uniform and transparent framework for food ecolabels.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 94-105"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425604","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":"Evaluating the global warming potential of harvested wood due to the carbon stock changes under different forest management practices","authors":"Hafiz Usman Ghani ,&nbsp;Anniina Lehtilä ,&nbsp;Anna Forssén ,&nbsp;Xing Liu ,&nbsp;Ilkka Leinonen","doi":"10.1016/j.spc.2025.10.010","DOIUrl":"10.1016/j.spc.2025.10.010","url":null,"abstract":"<div><div>The European forests are essential in achieving the land use and land-use change (LULUC) related CO₂ removal targets. Adoption of various harvesting practices significantly influences the overall LULUC emissions and removals of forests. In this study, we used the life cycle assessment (LCA) approach to systematically evaluate the land use and land use change-related emissions and removals (GWP_LULUC) of harvested wood raw material. We applied different case study scenarios with different forest management practices in Finland in comparison to the business as usual scenario (one pre-commercial thinning and two commercial thinnings): i) a scenario with no pre-commercial thinning, ii) a scenario with reduced thinning with longer rotation cycle, and iii) a scenario with collection of logging residues. We also explored the effect of management on land occupation. We modeled various scenarios using the MOTTI stand simulation for birch, spruce, and pine, encompassing different vegetation types across various regions of Finland. This was followed by soil carbon modelling using the Yasso07 model to assess the effect of residue collection for spruce. Our analysis indicated that the management effects on GWP_LULUC emissions and removals vary across regions, vegetation types, and management practices. Especially, reduced thinning with longer rotation cycles results in significant carbon removals and lowest land occupation due to the longest rotation cycle (except for birch). The collection of residues leads to small losses of soil organic carbon, but the effect was a negligible factor in the overall GWP of wood raw material. These findings underscore the intricate interplay between regional, species-specific, and management-related factors in shaping the GWP_LULUC of forest-based products.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 15-24"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425663","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":"Advancing life cycle assessment through data science: A critical review of algorithms, tools, and data challenges","authors":"Sofia Bahmutsky ,&nbsp;Ian Turner ,&nbsp;Vivek Arulnathan ,&nbsp;Nathan Pelletier","doi":"10.1016/j.spc.2025.10.007","DOIUrl":"10.1016/j.spc.2025.10.007","url":null,"abstract":"<div><div>A well-executed life cycle assessment requires thorough data collection across all relevant processes, combined with advanced data analysis. Common data-related issues in life cycle assessment research include the absence of necessary data, low data quality, inconsistencies, uncertainty, and failure to account for variations over time and location. In this context, data science, the discipline of extracting meaningful insights from data, has the potential to address these challenges. While the integration of data science with life cycle assessment holds significant potential, best use cases depend on the goal of the study, as well as the data type and volume required, underscoring the necessity of reviewing the intersection of data science and life cycle assessment. This study used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method to identify literature addressing the use of data science elements to support life cycle assessment. It evaluated which data science techniques are appropriate for specific life cycle assessment stages or problem areas and the strengths and weaknesses of current data science applications in life cycle assessment. Key opportunities identified revolve around solutions for dealing with missing or poor-quality data, expensive/prohibitive data collection, and improving the accuracy of life cycle assessment results. The currently most feasible pathways appear to involve use of machine learning techniques, as these types of studies were the most conducted and generated tangible results. Extreme gradient boosting, random forest, and artificial neural networks were particularly prominent algorithm choices. Data collection and transferability using ontologies and semantic tools were also highlighted as important strategies for improving data flow in life cycle assessment, including the integration of a wide variety of databases and non-life cycle assessment data.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 25-36"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425662","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":"What unlocks public online attention to sustainability issues? Evidence from China","authors":"Rong Hu ,&nbsp;Shuhang Mou ,&nbsp;Guangqin Li","doi":"10.1016/j.spc.2025.11.007","DOIUrl":"10.1016/j.spc.2025.11.007","url":null,"abstract":"<div><div>Public online attention to sustainability issues (POASI) is a key variable driving the social transition toward a sustainable future, acting as an essential link between macro–sustainable development goals and micro-level individual and collective actions. Based on Baidu Index data from 296 cities in China, this study uses the comprehensive weighting method to calculate the level of public online attention. We further employ interpretable machine learning models and the Shapley additive explanation (SHAP) approach to quantify the complex nonlinear associations of various factors with POASI. The results show that POASI in China has generally increased between 2011 and 2023, with the gap between the eastern and western regions gradually narrowing. Average years of education, per capita disposable income, population density, and the industrial upgrading index are identified as the key associated factors. Notably, these factors exhibit significant nonlinear relationships and threshold effects. Based on the thresholds of the major associated factors and the level of public online attention, the cities are classified into four governance categories: high-development zone, development-lagging zone, transformation-imbalance zone, and multi-constrained zone. This research comprehensively investigates the key mechanisms associated with POASI, thereby providing a scientific basis for formulating targeted sustainable development strategies.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 323-337"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693985","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":"LCA methodological choices and environmental impacts performance of an integrated seawater desalination and brine treatment system","authors":"Rodoula Ktori ,&nbsp;John A. Posada ,&nbsp;Mark C.M. van Loosdrecht ,&nbsp;Dimitrios Xevgenos","doi":"10.1016/j.spc.2025.11.001","DOIUrl":"10.1016/j.spc.2025.11.001","url":null,"abstract":"<div><div>As water research and industry shift towards resource recovery plants, comprehensive assessment methods are needed to capture environmental trade-offs. Existing life cycle assessments (LCA) on desalination often neglect key methodological challenges in multi-product zero-liquid-discharge (ZLD) systems, risking misleading conclusions. This study applies LCA to conventional desalination and with three resource recovery scenarios (integrated desalination and brine treatment) in Cyprus: Sc1) maximum water recovery using waste heat (WH), Sc2) integrated desalination plant with brine treatment using WH, Sc3) electricity-based desalination with chemicals recovery, to assess how key methodological decisions influence the results and decisions. Five impact categories were analysed: climate change, human toxicity, marine ecotoxicity, water depletion, and fossil depletion. Without product substitution, multi-product ZLD systems show higher absolute impacts than SWRO due to increased energy and chemical demands. However, when credits for recovered salts and chemicals are considered, Scenarios 2 and 3 achieve large net reductions compared to conventional production, highlighting the sustainability potential of resource recovery. Results proved highly sensitive to methodological choices: functional unit selection (increase up to 59 %), allocation methods (variation from 54 % to 90 %), while excluding WH altered impacts by up to 89 %, emphasizing the need for transparent reporting to support robust decision-making in desalination design. Sensitivity analysis showed that integrating renewable energy could cut climate change and fossil depletion impacts by up to 99 %, though with trade-offs in marine ecotoxicity and water depletion. Rather than proposing new methods, this work provides critical guidance on applying standardized LCA options to complex systems, offering directly relevant insights for practitioners and policy-makers in sustainable desalination design.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 338-355"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693986","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":"Demand-side strategies can mitigate critical material supply bottlenecks in China's solar photovoltaic deployment: A dynamic integrated assessment framework","authors":"Yuning Zhang ,&nbsp;Yanhua Wang ,&nbsp;Yunsong Liang ,&nbsp;Ke Wang ,&nbsp;Hongxia Zhang","doi":"10.1016/j.spc.2025.10.005","DOIUrl":"10.1016/j.spc.2025.10.005","url":null,"abstract":"<div><div>Demand-side strategies are vital for mitigating supply bottlenecks of critical materials in clean energy deployment. However, their potential remains unclear primarily due to the “black box” limitation of conventional material flow analysis (MFA) methods. This study develops a dynamic integrated assessment framework combining a hybrid input-output analysis, an optimized Markov model, a dynamic MFA approach, and Monte Carlo simulation. This framework is applied to quantify the anthropogenic metabolism of eight critical materials in China's solar power system toward 2060 and to assess the material-saving effects of five demand-side strategies, such as grid integration enhancement. Results show that cumulative demand for Tellurium, Selenium, Indium, and Germanium may exceed China's 2022 reserves by 2060 in baseline case. Fortunately, implementing demand-side strategies can reduce primary material inputs by 32.8–36.7 %, with maximum material-saving contributions of 3.5 Mt for Silicon, 10.6 kt for Germanium, 4.8 kt for Copper, 4.4 kt for Indium, 1.1 kt for Gallium, 11.2 kt for Selenium, 3.8 kt for Cadmium, and 4.3 kt for Tellurium. Furthermore, these strategies outperform recycling alone and resolve Selenium and Indium constraints, making CIGS the only materially sustainable thin-film technology in SSP2-CD and SSP5-CD scenarios. The proposed framework provides a systematic basis for China's demand-side policymaking to mitigate critical material supply bottlenecks in solar system, while offering scalable solutions to harmonize sustainable material consumption with low-carbon energy transitions in emerging economies.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 48-65"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425605","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":"The effect of charges, discounts, environmental information, and motivations on consumer preferences for reusable cups: A choice experiment","authors":"Bethan Thompson ,&nbsp;Faical Akaichi ,&nbsp;Luiza Toma","doi":"10.1016/j.spc.2025.10.013","DOIUrl":"10.1016/j.spc.2025.10.013","url":null,"abstract":"<div><div>Single-use disposable cups are a major contributor to plastic waste due to their widespread use and limited recyclability. In response, policymakers are introducing measures to reduce their consumption and promote reusable alternatives. This study employs a discrete choice experiment with a nationally representative sample to evaluate how regulatory incentives (charges, discounts), persuasive strategies (environmental information prompts), and motivational drivers (perceived threat severity and vulnerability, maladaptive response rewards, response efficacy, self-efficacy, and response costs) influence consumer preferences for single-use, refillable, and returnable cups. We find that a mandatory charge of 25–30 pence is required to reduce disposable cup selection by 50 %, whereas achieving a similar reduction through discounts requires incentives of at least 70 pence. Environmental information prompts had limited effect, slightly increasing preference for returnable cups when offered alone, but not when both reusable options were present. Consumers who were more likely to choose reusable options perceived greater environmental threat, believed their actions to be effective, and felt more capable of acting, supporting Protection Motivation Theory as a valuable framework for understanding behavioural drivers in circular consumption. Policy wise, charges are more efficient than discounts for shifting choices. To increase uptake of reusable cups pair a moderate charge with returnable and refillable options, keep deposits modest, and prioritise practical features that make reuse easy (e.g., simple return points, washing provision) over information alone.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"61 ","pages":"Pages 106-117"},"PeriodicalIF":9.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145475480","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}