Sustainable Futures最新文献_第5页

Climate concern, wood’s perceived climate benefits, and attitudes as predictors of intention to live in multi-storey wooden buildings 气候问题，木材的感知气候效益，以及作为多层木结构建筑居住意向预测因素的态度

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101617

Anders Roos , Ritva Toivonen , Florencia Franzini , Cecilia Mark-Herbert , Anne M K Toppinen , Camilla Widmark , Anders Qvale Nyrud , Hans Fredrik Hoen

The built environment is a major contributor to global emissions, making the transition to low-carbon construction materials critical for climate mitigation. Multi-storey wooden buildings (MSWBs) have emerged as a sustainable alternative due to their carbon storage capacity and lower embodied emissions compared to conventional multi-storey buildings. However, consumer acceptability for MSWBs remains uncertain. This study draws on cognitive-motivational consumer models, expectancy-value theory, and Signalling Theory to examine the effect of climate beliefs and concern, belief on climate impact of wood construction, and MSWB attitudes on the intention to live in MSWBs. The relationships are tested using structural equation modelling applying survey data from 7053 respondents across seven European countries. The study finds that stronger climate beliefs and concern enhance perceptions of wood’s climate benefits, which in turn influence both attitudes and housing intentions. However, attitudes toward multi-storey wooden buildings—particularly regarding comfort, health, and functionality—are stronger predictors of intention than beliefs alone, indicating a mediating role of attitudes. Cross-country differences highlight the role of cultural and regulatory contexts. The results suggest that policymakers and industry should emphasize and develop the climate benefits of MSWBs alongside improvements in perceived comfort and functionality. This study advances sustainable housing research by integrating environmental psychology and consumer behaviour perspectives.

建筑环境是全球排放的主要来源，因此向低碳建筑材料过渡对减缓气候变化至关重要。与传统的多层建筑相比，多层木结构建筑（MSWBs）由于其碳储存能力和较低的隐含排放量而成为一种可持续的替代方案。然而，消费者对mswb的接受程度仍然不确定。本研究利用认知动机消费者模型、期望价值理论和信号理论来研究气候信念和关注、木结构建筑对气候影响的信念以及城市生活态度对城市生活意愿的影响。使用结构方程模型对这些关系进行了测试，该模型应用了来自七个欧洲国家的7053名受访者的调查数据。研究发现，更强烈的气候信念和关注增强了对木材气候效益的认识，这反过来又影响了态度和住房意向。然而，对多层木结构建筑的态度——特别是关于舒适度、健康和功能的态度——比信念本身更能预测意图，这表明态度在其中起着中介作用。跨国差异突出了文化和监管背景的作用。研究结果表明，政策制定者和行业应强调和发展mswb的气候效益，同时提高感知舒适度和功能。本研究通过整合环境心理学和消费者行为的视角来推进可持续住房的研究。

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引用次数: 0

Effect of livelihood diversification on households’ food security: A propensity score analysis 生计多样化对农户粮食安全的影响：倾向得分分析

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101632

Ayele Diriba , Dereje Derso , Hakim Hashim

In Ethiopia, agriculture is crucial for reducing poverty and improving food security among rural households. However, the country continues to face significant food insecurity and vulnerability to famine. Livelihood diversification beyond agriculture is often neglected, contributing less than 17 % to the economy, despite its potential benefits for food security. This research analyzes the impact of livelihood diversification on household food security using a mixed-methods approach. A cross-sectional survey was conducted with 384 households across four rural kebeles in the Agarfa district, utilizing semi-structured questionnaires, dietary diversity scores, focus group discussions, key informant interviews, and field observations. Descriptive statistics and inferential methods, including t-tests and Chi-square tests, were applied alongside an econometric model using Propensity Score Matching. The findings show that while households engage in various off-farm and non-farm livelihood strategies, Farm only still constitutes over 83 % of their income. The average Shannon Entropy Index of 0.77 indicates low diversification, with 14.84 % of households experiencing low food security. PSM results demonstrate that, livelihood diversification positively impacts dietary diversity, increasing up to 14.05 % for diversified households. These findings highlight the need for policies that promote livelihood diversification to enhance food security in rural Ethiopia.

在埃塞俄比亚，农业对于减少贫困和改善农村家庭的粮食安全至关重要。然而，该国继续面临严重的粮食不安全和饥荒。农业以外的生计多样化往往被忽视，对经济的贡献不到17%，尽管它对粮食安全有潜在的好处。本研究采用混合方法分析生计多样化对家庭粮食安全的影响。采用半结构化问卷、饮食多样性评分、焦点小组讨论、关键信息提供者访谈和实地观察等方法，对阿加法地区4个农村地区的384户家庭进行了横断面调查。描述性统计和推理方法，包括t检验和卡方检验，与使用倾向得分匹配的计量经济模型一起应用。研究结果表明，虽然家庭从事各种非农业和非农业生计策略，但农业仍然只占其收入的83%以上。平均香农熵指数为0.77，表明多样化程度较低，14.84%的家庭粮食安全水平较低。PSM结果表明，生计多样化正向影响膳食多样性，多样化家庭的膳食多样性增加了14.05%。这些发现突出表明，需要制定促进生计多样化的政策，以加强埃塞俄比亚农村的粮食安全。

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引用次数: 0

Transferring and scaling innovation in urban green-blue Infrastructure: beyond one-size-fits-all solutions and preconceptions 城市绿蓝基础设施的创新转移和规模化：超越一刀切的解决方案和先入为主的观念

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101619

Anton Shkaruba , Hanna Skryhan , Marcin Spyra , Justyna Rubaszek , Tereza Rumanová , Mária Bihuňová , Nadiya Maksymenko , Eva Semančíková , Jóna László , Viktar Kireyeŭ , Kalev Sepp

Green and Blue Infrastructure (GBI) innovations are increasingly promoted in Europe, yet their transfer to new socio-political contexts remains poorly understood. This study applies the Strategic Niche Management (SNM) framework to analyse the conditions under which GBI innovations can be replicated and scaled beyond their original settings. We examine six GBI projects from five EU Member States and assess their perceived transferability through three expert workshops in Belarus, Russia and Ukraine. Using a comparative qualitative design, workshop transcripts were analysed to identify how actors interpret innovation, allocate responsibilities, and negotiate risks within their socio-technical regimes.

Across cases, successful transfer depended on leadership by municipal actors, a supportive knowledge base, flexible regulatory arrangements, and targeted communication that strengthens public acceptance. Major constraints included entrenched “business-as-usual’’ routines in administrative and epistemic communities, misconceptions about the costs and maintenance of GBI, weak participatory traditions, and corruption risks. The findings demonstrate that GBI diffusion is highly context-dependent: local actors may be unexpectedly supportive of nature-based solutions, while bottom-up initiatives can serve as viable entry points even within hierarchical governance systems. The study contributes empirical insights from an under-researched region and illustrates how SNM can be operationalised to guide GBI innovation transfer and regime change.

绿色和蓝色基础设施（GBI）创新在欧洲得到越来越多的推广，但人们对它们在新的社会政治背景下的转移仍然知之甚少。本研究应用战略生态位管理（SNM）框架来分析GBI创新可以在其原始设置之外复制和扩展的条件。我们研究了来自五个欧盟成员国的六个GBI项目，并通过在白俄罗斯、俄罗斯和乌克兰举办的三个专家研讨会评估了它们的可转移性。采用比较定性设计，对研讨会记录进行了分析，以确定参与者如何在其社会技术制度中解释创新、分配责任和谈判风险。在各种情况下，成功的转移取决于市政行为者的领导、支持性知识基础、灵活的监管安排以及加强公众接受的有针对性的沟通。主要制约因素包括行政和知识界根深蒂固的“一切照旧”惯例、对GBI的成本和维护的误解、参与性传统薄弱以及腐败风险。研究结果表明，GBI的扩散是高度依赖于环境的：地方行动者可能出乎意料地支持基于自然的解决方案，而自下而上的倡议甚至可以在分层治理系统中作为可行的切入点。该研究提供了来自研究不足地区的经验见解，并说明了如何将SNM用于指导GBI创新转移和制度变革。

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引用次数: 0

The impact of intelligent technology progress on skill matching in labor market—evidence from China 智能技术进步对劳动力市场技能匹配的影响——来自中国的证据

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101635

Yue Han

Through mathematical deduction, this paper reveals the impact of intelligent technology progress on skill matching in labor market. This paper constructs a provincial-level comprehensive index of industrial intelligence from three dimensions: infrastructure, production application, competitiveness and efficiency. This paper combines it with the China Family Panel Studies (CFPS) data from 2014 to 2020, and uses the Poisson model for empirical test. The regression results show that for every 1 unit increase in the level of industrial intelligence, the gap between the actual education years of workers and the education years required for work will be narrowed by 2.19 years, that is, the progress of intelligent technology has significantly improved the skill matching. Heterogeneity analysis shows that the effect is more obvious in Eastern China, labor-intensive and technology-intensive areas, and areas with higher degree of marketization, and is more obvious in the tertiary industry. The improvement effect of intelligent technology progress on skill matching is more evident among females, as well as middle-aged and elderly workers. This paper conducts robustness tests by replacing the measurement of skill matching and intelligent technology progress, replacing the parameter estimation method, and adjusting the settings of the econometric model, which verifies the reliability of the conclusion. Mechanism analysis indicates that intelligent technology progress contributes to the upgrading of employment skill structure, thereby promoting the improvement of skill matching in labor market. Based on the research findings, we propose relevant policy recommendations in terms of accelerating the development of industrial intelligence, deepening the reform of labor market, and so on.

通过数学推导，揭示了智能技术进步对劳动力市场技能匹配的影响。本文从基础设施、生产应用、竞争力和效率三个维度构建了省级工业智能综合指数。本文结合2014 - 2020年中国家庭面板研究（CFPS）数据，采用泊松模型进行实证检验。回归结果表明，工业智能化水平每提高1个单位，劳动者实际受教育年限与工作所需受教育年限的差距将缩小2.19年，即智能化技术的进步显著提高了技能匹配度。异质性分析表明，东部地区、劳动密集型和技术密集型地区以及市场化程度较高的地区的影响更为明显，第三产业的影响更为明显。智能技术进步对技能匹配的改善作用在女性和中老年工人中更为明显。本文通过替换技能匹配度量和智能技术进步度量、替换参数估计方法、调整计量模型设置等方法进行稳健性检验，验证了结论的可靠性。机制分析表明，智能技术进步有助于就业技能结构升级，从而促进劳动力市场技能匹配的改善。根据研究结果，我们从加快发展工业智能化、深化劳动力市场改革等方面提出相关政策建议。

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引用次数: 0

Artificial intelligence in agriculture across south Asia: Technology adoption, improvements, and sustainability outcomes 南亚农业中的人工智能：技术采用、改进和可持续性成果

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101620

SSM Sadrul Huda , Afsana Akhtar , Ellin Ahmed , Kazi Md. Samiul Hoq , Md. Nahid Islam

Agriculture remains the backbone of South Asia’s economy, yet persistent challenges such as climate variability, low productivity, and fragmented supply chains hinder its sustainable growth. Motivated by the region’s increasing digitalization and the potential of Artificial Intelligence (AI) to address these constraints, this study investigates how AI is being adopted in agriculture across six South Asian countries—Bangladesh, India, Pakistan, Sri Lanka, Nepal, and Afghanistan. Using a qualitative comparative case study approach, the research integrates the Technology Acceptance Model (TAM) and the Diffusion of Innovation (DOI) framework to analyze over 30 AI-enabled firms operating in areas such as farm finance, crop monitoring, pest and disease management, logistics, and post-harvest quality control. The findings reveal significant cross-country variation in AI adoption patterns: India and Sri Lanka exhibit DOI-driven, institution-led diffusion supported by strong public–private partnerships, while Bangladesh and Nepal rely on TAM-based, individual-level acceptance influenced by digital literacy and perceived ease of use. Pakistan demonstrates a hybrid adoption path, whereas Afghanistan remains at an early diffusion stage. These results highlight that infrastructure readiness, digital capability, and institutional coordination are decisive factors for scaling AI in agriculture. The study concludes with actionable policy recommendations, emphasizing the need for region-wide investment in rural digital infrastructure, AI literacy programs, inclusive financing mechanisms, and cross-border public–private collaborations to accelerate sustainable, data-driven agricultural transformation across South Asia.

农业仍然是南亚经济的支柱，但气候变化、低生产率和供应链碎片化等持续存在的挑战阻碍了其可持续增长。受该地区日益增长的数字化和人工智能（AI）解决这些制约因素的潜力的推动，本研究调查了六个南亚国家（孟加拉国、印度、巴基斯坦、斯里兰卡、尼泊尔和阿富汗）如何在农业中采用人工智能。该研究采用定性比较案例研究方法，将技术接受模型（TAM）和创新扩散（DOI）框架整合在一起，分析了30多家在农业金融、作物监测、病虫害管理、物流和收获后质量控制等领域运营的人工智能公司。研究结果显示，人工智能的采用模式存在显著的跨国差异：印度和斯里兰卡表现出由强有力的公私伙伴关系支持的、由部门驱动的、由机构主导的传播，而孟加拉国和尼泊尔则依赖于基于tam的、受数字素养和易用性影响的个人层面的接受。巴基斯坦展示了混合采用路径，而阿富汗仍处于早期扩散阶段。这些结果突出表明，基础设施就绪、数字化能力和机构协调是在农业中扩大人工智能规模的决定性因素。该研究最后提出了可行的政策建议，强调需要在整个地区投资农村数字基础设施、人工智能扫盲计划、包容性融资机制和跨境公私合作，以加速整个南亚地区可持续的、数据驱动的农业转型。

{"title":"Artificial intelligence in agriculture across south Asia: Technology adoption, improvements, and sustainability outcomes","authors":"SSM Sadrul Huda , Afsana Akhtar , Ellin Ahmed , Kazi Md. Samiul Hoq , Md. Nahid Islam","doi":"10.1016/j.sftr.2025.101620","DOIUrl":"10.1016/j.sftr.2025.101620","url":null,"abstract":"<div><div>Agriculture remains the backbone of South Asia’s economy, yet persistent challenges such as climate variability, low productivity, and fragmented supply chains hinder its sustainable growth. Motivated by the region’s increasing digitalization and the potential of Artificial Intelligence (AI) to address these constraints, this study investigates how AI is being adopted in agriculture across six South Asian countries—Bangladesh, India, Pakistan, Sri Lanka, Nepal, and Afghanistan. Using a qualitative comparative case study approach, the research integrates the Technology Acceptance Model (TAM) and the Diffusion of Innovation (DOI) framework to analyze over 30 AI-enabled firms operating in areas such as farm finance, crop monitoring, pest and disease management, logistics, and post-harvest quality control. The findings reveal significant cross-country variation in AI adoption patterns: India and Sri Lanka exhibit DOI-driven, institution-led diffusion supported by strong public–private partnerships, while Bangladesh and Nepal rely on TAM-based, individual-level acceptance influenced by digital literacy and perceived ease of use. Pakistan demonstrates a hybrid adoption path, whereas Afghanistan remains at an early diffusion stage. These results highlight that infrastructure readiness, digital capability, and institutional coordination are decisive factors for scaling AI in agriculture. The study concludes with actionable policy recommendations, emphasizing the need for region-wide investment in rural digital infrastructure, AI literacy programs, inclusive financing mechanisms, and cross-border public–private collaborations to accelerate sustainable, data-driven agricultural transformation across South Asia.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101620"},"PeriodicalIF":4.9,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unraveling the tourism-urbanization-ES nexus within a human-environment system: spatiotemporal coordination and barrier diagnosis in the Yangtze River Delta, China 人-环境系统中的旅游-城市化- es关系：长江三角洲时空协调与障碍诊断

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101608

Lingling Chen, Yingying Zhang, Shu Tang

The ternary coupling of tourism, urbanization, and ecosystem services (ES) within a tourism-urbanization-based coupled human–environment system (TU–CHES) is critical for sustainability but remains insufficiently examined. This study develops an integrated framework combining Ecosystem Service Value (ESV) quantification, Coupling Coordination Degree (CCD) model, and Obstacle Degree (OD) model to diagnose the spatiotemporal dynamics of coordination and underlying barriers within the TU–CHES in China’s Yangtze River Delta from 2000 to 2020. The results reveal pronounced asynchronous development, where the rapid growth of tourism and urbanization contrasts sharply with the stagnation of ES. Although the overall system coordination improved (mean CCD increasing from 0.389 to 0.436), the progress is highly spatially uneven. Shanghai demonstrates an ecological overload, while Jiangsu experiences coordination regression, underscoring persistent spatial mismatches. Further analysis identifies three deep-seated institutional barriers: the scale–status paradox of tourism, dual deficits in cultural and environmental governance during urbanization, and the tension between landscape commodification and ecological regeneration. To address these challenges, this study proposes transboundary ecological compensation, recalibrating tourism development strategies, and differentiated landscape management. The integrated ESV–CCD–OD framework provides a transferable diagnostic tool for analyzing sustainability constraints in tourism-driven urban agglomerations.

以旅游-城市化为基础的人-环境耦合系统（TU-CHES）中，旅游、城市化和生态系统服务（ES）的三元耦合对可持续发展至关重要，但仍未得到充分研究。基于生态系统服务价值（ESV）量化、耦合协调度（CCD）模型和障碍度（OD）模型，构建了2000 - 2020年长江三角洲流域生态系统协调与障碍时空动态分析框架。结果显示出明显的非同步发展，其中旅游业和城市化的快速增长与ES的停滞形成鲜明对比。虽然整体系统协调性有所提高（平均CCD从0.389增加到0.436），但在空间上的差异很大。上海呈现生态超载，江苏呈现协调回归，空间失配持续。进一步分析发现了三个深层次的制度障碍：旅游业的规模-地位悖论、城市化过程中文化和环境治理的双重赤字、景观商品化与生态再生之间的紧张关系。为了应对这些挑战，本研究提出了跨界生态补偿、旅游发展战略调整和差别化景观管理的建议。综合ESV-CCD-OD框架为分析旅游驱动的城市群的可持续性限制提供了一种可转移的诊断工具。

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引用次数: 0

What's the fair share? A systematic approach to assessing educational resource allocation in Henan, China 公平的份额是多少？河南省教育资源配置评估的系统方法

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101629

Yifei Meng , Xiao Huang , Eugene Kennedy , Yan Liu , Yanqing Xu

Educational equity remains a critical concern for scholars worldwide. This study develops a systematic evaluation framework that balances equity and efficiency in educational resource allocation. Using data from compulsory education across cities in Henan Province from 2015 to 2021, and employing the Dagum Gini coefficient and Malmquist index models, we examine regional disparities, spatial patterns, and evolutionary trends in the allocation of compulsory education resources from both efficiency and equity perspectives. We analyze the current state, issues, and underlying causes of educational resource distribution and propose policy recommendations. Our results reveal significant variations in the capacity for educational resource allocation at both primary and middle school levels in Henan Province, with middle school education exhibiting greater instability and regional disparities. A coupling effect between equity and efficiency is observed in the allocation process. These findings suggest that the government should focus on adjusting the structure of middle school education resources by promoting technological innovation, enhancing management practices, and rationally allocating resources. Furthermore, effective resource allocation strategies and supervisory measures must be implemented based on regional changes in educational resource outputs. The method proposed in this study for assessing regional differences in educational resource allocation provides a valuable reference for achieving educational equity and sustainable development.

教育公平仍然是全世界学者关注的一个重要问题。本研究建立了一个平衡教育资源分配公平与效率的系统评估框架。基于2015 - 2021年河南省各市义务教育数据，运用达格姆基尼系数和马尔姆奎斯特指数模型，从效率和公平两个视角分析了河南省义务教育资源配置的区域差异、空间格局和演化趋势。本文分析了我国教育资源分配的现状、问题及其原因，并提出了政策建议。研究结果表明，河南省中小学教育资源配置能力存在显著差异，其中初中教育表现出较大的不稳定性和区域差异。在分配过程中，公平与效率之间存在耦合效应。研究结果表明，政府应通过推动技术创新、加强管理实践、合理配置中学教育资源，着力调整中学教育资源结构。此外，必须根据教育资源产出的区域变化实施有效的资源配置策略和监督措施。本研究提出的区域教育资源配置差异评估方法为实现教育公平和可持续发展提供了有价值的参考。

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引用次数: 0

Sustainability design approaches: From material/component-level innovation to socio-technological-ecological sustainability transitions 可持续性设计方法：从材料/组件级创新到社会-技术-生态可持续性过渡

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101618

Dharmendra Hariyani , Poonam Hariyani , Sanjeev Mishra

Rapid industrialization, economic expansion, and resource scarcity have intensified the demand for sustainability in manufacturing. While organizations are under increasing pressure from policymakers, stakeholders, and global partners to integrate sustainability into their value chains, the design of sustainable manufacturing systems remains insufficiently understood. This study addresses this gap by developing a hierarchical framework for sustainability design approaches. Using the PRISMA guidelines, a systematic review of 873 studies published between 1987 and 2025 in the Scopus database was conducted to synthesize insights across multiple levels of sustainability innovation. Findings reveal that transitioning from product-focused interventions to socio-technological-ecological (STE) approaches offers a more holistic pathway to achieving sustainability. Such transitions enhance resource efficiency, reduce environmental impacts, and promote social equity while aligning organizational strategies with long-term sustainability goals. The framework maps sustainability design approaches across technological and systemic dimensions, conceptualizing transitions as dynamic, interdependent processes shaped by innovation, institutional change, behavioral adaptation, and ecological restoration. Unlike linear models, the proposed structure adopts a layered, feedback-driven perspective, fostering greater systemic resilience.

The study further outlines the benefits, challenges, and strategic guidelines at each innovation level, supported by illustrative global case studies. Digital transformation is emphasized as a critical enabler, integrating tools that accelerate the development of co-evolutionary socio-technological-ecological systems. Designed for adaptability, the framework applies across industries and economic contexts, supporting both policy-driven initiatives and community-led transitions. Overall, the study contributes a prescriptive and practical model that equips organizations, policymakers, and researchers with strategies to advance systemic innovation, environmental resilience, and social equity.

快速工业化、经济扩张和资源稀缺加剧了对制造业可持续性的需求。虽然组织面临着来自政策制定者、利益相关者和全球合作伙伴越来越大的压力，要求将可持续性融入其价值链，但可持续制造系统的设计仍然没有得到充分的理解。本研究通过开发可持续性设计方法的分层框架来解决这一差距。利用PRISMA指南，对Scopus数据库中1987年至2025年间发表的873项研究进行了系统回顾，以综合跨多个层面的可持续性创新见解。研究结果表明，从以产品为中心的干预措施向社会技术生态（STE）方法的转变为实现可持续性提供了更全面的途径。这种转变提高了资源效率，减少了环境影响，促进了社会公平，同时使组织战略与长期可持续性目标保持一致。该框架将可持续性设计方法映射到技术和系统维度上，将过渡概念化为由创新、制度变革、行为适应和生态恢复形成的动态、相互依存的过程。与线性模型不同，拟议的结构采用了分层的、反馈驱动的视角，促进了更大的系统弹性。该研究进一步概述了在每个创新水平上的好处、挑战和战略指导方针，并辅以说明性的全球案例研究。强调数字化转型是一个关键的推动因素，整合了加速共同进化的社会技术生态系统发展的工具。该框架为适应性而设计，适用于各个行业和经济背景，既支持政策驱动的举措，也支持社区主导的转型。总体而言，该研究提供了一个规范性和实用的模型，为组织、政策制定者和研究人员提供了促进系统创新、环境恢复力和社会公平的战略。

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引用次数: 0

Carbon emission trading policy, information disclosure, and effects of pollution reduction and carbon mitigation: Empirical evidence from China 碳排放权交易政策、信息披露与污染减排效果：来自中国的经验证据

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101637

Yixin Zhao, Yizhen Xu

Synergistically advancing pollution control and decarbonization represents an essential pathway for accelerating sustainable progress. Leveraging a quasi-natural experiment framework centered on China’s carbon emission trading policy (CETP), this investigation employs conventional and spatial difference-in-differences (DID) analytical model to systematically assess the coordinated impacts and spatial spillover effects of CETP on environmental improvement and climate objectives. The study further explores the underlying mechanisms through the lens of corporate carbon information disclosure. Empirical findings reveal that CETP generates substantial coordinated benefits in both air pollutant and carbon emissions. Furthermore, the combined outcomes of pollution mitigation and carbon emission abatement predominantly manifest through the channel of CETP to stimulate corporate environmental information disclosure, particularly strengthening the focus on disclosing low-carbon management, emission metrics, and decarbonization outcomes. Regarding spatial influences, CETP has led to notable decreases in regional PM_2.5 concentrations and CO₂ emissions while generating beneficial spillover effects on neighboring regions. This study presents both theoretical frameworks and empirical evidence to assess the policy effectiveness, thereby supporting the sustainable development of carbon trading mechanisms.

协同推进污染治理和脱碳是加快可持续发展的必由之路。本文以中国碳排放交易政策为研究对象，利用准自然实验框架，采用常规模型和空间差中差（DID）分析模型，系统评估了碳排放交易政策对环境改善和气候目标的协同效应和空间溢出效应。本研究以企业碳信息披露为视角，进一步探讨了企业碳信息披露的内在机制。实证结果表明，CETP在大气污染物和碳排放方面都产生了可观的协调效益。此外，污染缓解和碳减排的联合成果主要通过CETP渠道体现出来，以刺激企业环境信息披露，特别是加强对低碳管理、排放指标和脱碳成果的披露。在空间影响方面，CETP导致区域PM2.5浓度和CO2排放量显著下降，并对邻近区域产生有益的溢出效应。本研究提供了评估政策有效性的理论框架和实证证据，从而为碳交易机制的可持续发展提供支持。

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引用次数: 0

Evolution and impact of green finance: A comprehensive bibliometric analysis 绿色金融的演变与影响：综合文献计量分析

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-01-06 DOI: 10.1016/j.sftr.2025.101623

Sarath Chandran MC , Renju Chandran

Environmental concerns have significantly amplified the demand for sustainable financial mechanisms, positioning green finance as a critical area of scholarly inquiry. This study conducts a comprehensive bibliometric analysis of 1887 peer-reviewed articles published in 302 Scopus-indexed journals from 1996 to May 2025. Using advanced tools, such as Biblioshiny and VOSviewer, the study identifies key publication trends, institutional collaborations, and thematic evolutions in the green finance literature. Findings highlight China's dominance in scholarly output and significant collaborations with South Asian nations. Thematically, the field centers on carbon emission mitigation, green technological innovation, and renewable energy finance, with emerging interest in ESG frameworks, digital green finance, and green credit instruments. This study's innovation lies in its integration of multi-method bibliometric mapping, co-citation networks, and thematic evolution overlays, which together reveal previously unmapped intersections such as the convergence of green finance with digital sustainability, institutional policy, and transnational governance. By offering a theory-informed and data-driven synthesis, this study provides a foundation for future research agendas and targeted policy interventions to advance sustainable finance globally.

环境问题大大增加了对可持续金融机制的需求，将绿色金融定位为学术研究的关键领域。本研究对1996年至2025年5月在302种scopus索引期刊上发表的1887篇同行评议文章进行了全面的文献计量分析。利用先进的工具，如Biblioshiny和VOSviewer，该研究确定了绿色金融文献的主要出版趋势、机构合作和专题演变。研究结果强调了中国在学术产出和与南亚国家的重要合作方面的主导地位。从主题上讲，该领域以碳减排、绿色技术创新和可再生能源金融为中心，对ESG框架、数字绿色金融和绿色信贷工具的兴趣日益浓厚。本研究的创新之处在于它将多方法文献计量制图、共被引网络和主题演化叠加相结合，共同揭示了以前未被绘制的交叉点，如绿色金融与数字可持续性、制度政策和跨国治理的融合。通过提供理论依据和数据驱动的综合研究，本研究为未来的研究议程和有针对性的政策干预奠定了基础，以促进全球可持续金融。

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