Resources, conservation & recycling advances最新文献_第6页

Measuring public support towards different clean air targets in China 衡量公众对中国不同清洁空气目标的支持度

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-05-17 DOI: 10.1016/j.rcradv.2025.200260

Yining Huang , Miaomiao Liu , Jianxun Yang , Wen Fang , Zongwei Ma , Jun Bi

Following remarkable achievements in air quality improvement, China has transitioned into a period of relatively low pollution levels, promoting discussions on further upgrading air quality standards. Effective policy-making depends not only on cost-effectiveness but also heavily on the public’s willingness to support such initiatives. Previous studies on willingness-to-pay (WTP) inadequately distinguished between the impacts of objective pollution levels and subjective cognitions, as well as how the cognitive relationships formed by these two factors affect WTP decisions. This study examines public willingness to support two different air quality improvement scenarios and investigates the underlying mechanisms influencing WTP decisions. Utilizing nationwide survey data from 7457 Chinese respondents and employing a two-part regression model, we found the average WTP to reduce PM_2.5 concentrations by 10 % (below 30 µg/m³) and to achieve levels below 5 µg/m³ were 277 and 295 CNY, respectively. Residents demonstrated significantly greater participation willingness and contribute higher amounts when presented with stricter air quality targets (p < 0.05). Subjective cognitions, rather than objective pollution levels, primarily shape WTP through two distinct pathways: external factors (e.g., trust in government) influence initial participation willingness, while internal factors (e.g., perceived risk control) determine payment amounts. Additionally, pessimistic cognitive biases- low acceptance of air quality despite low pollution levels- significantly reduced individuals' likelihood of contributing (p < 0.05). Our findings highlight distinct cognitive mechanisms underlying WTP decisions, suggesting tailored strategies to encourage collective action to further improve air quality and overcome pessimistic biases.

在空气质量改善取得显著成效之后，中国进入了相对低污染时期，推动了进一步提升空气质量标准的讨论。有效的政策制定不仅取决于成本效益，而且在很大程度上取决于公众是否愿意支持这些措施。以往关于支付意愿（WTP）的研究没有充分区分客观污染水平和主观认知的影响，以及这两个因素形成的认知关系如何影响WTP决策。本研究考察公众支持两种不同空气质素改善方案的意愿，并探讨影响WTP决策的潜在机制。利用7457名中国受访者的全国调查数据，并采用两部分回归模型，我们发现将PM2.5浓度降低10%（低于30微克/立方米）和达到低于5微克/立方米的平均WTP分别为277元和295元。当提出更严格的空气质量目标时，居民表现出更大的参与意愿和更高的捐款(p <；0.05)。主观认知，而不是客观污染水平，主要通过两种不同的途径塑造WTP：外部因素（如对政府的信任）影响初始参与意愿，而内部因素（如感知风险控制）决定支付金额。此外，悲观的认知偏见——尽管污染水平较低，但对空气质量的接受度较低——显著降低了个人贡献的可能性(p <；0.05)。我们的研究结果强调了WTP决策背后的独特认知机制，提出了量身定制的策略，以鼓励集体行动，进一步改善空气质量，克服悲观偏见。

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引用次数: 0

Utilization of fish sludge and aquaculture effluent water from Norway for nutrient and energy recovery 利用挪威的鱼泥和水产养殖废水进行养分和能量回收

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-05-13 DOI: 10.1016/j.rcradv.2025.200256

Hanna Böpple , Gregorio Brussino , Anton Engel , Peter Breuhaus , Nicole Dopffel , Biwen Annie An-Stepec , Dorinde M.M. Kleinegris , Petronella Margaretha Slegers

The Norwegian aquaculture industry is experiencing rapid growth. At the same time the demand for suitable aquaculture waste treatment is rising. This study aims to evaluate the environmental impacts of a waste-treatment process through anaerobic digestion and microalgae cultivation in Norway. This circular economy approach aims to recover nutrients and energy from an average land-based recirculating aquaculture system (RAS) with a production of 5000 tonnes of salmon yearly. In comparison, one of today's common solutions, the shipment of 50 % of the RAS fish sludge to Denmark for biogas production, was assessed as a baseline. A life cycle assessment showed that shipping 100 % of the fish sludge to Denmark for anaerobic digestion is more environmentally sustainable than releasing half of the fish sludge into the environment and only shipping 50 % to Denmark. Anaerobic co-digestion of fish sludge in Norway showed a lower environmental impact potential than the anaerobic digestion with fish sludge as the sole substrate (in Norway). The cultivation of microalgae in northern latitudes is highly energy demanding, which is one of the highest impact contributions of the value chain. National differences in the electricity grid composition (hydropower, other renewable energy, fossil energy) that is used for the respective scenarios in either Norway or Denmark, had a major impact on the assessment. A preliminary economic assessment showed that all scenarios had a decrease in operational costs compared to the baseline scenario due to the recycling of nutrients and produced energy from the RAS waste streams.

挪威水产养殖业正在经历快速增长。与此同时，对水产养殖废弃物适当处理的需求也在上升。本研究旨在评估挪威通过厌氧消化和微藻培养的废物处理过程对环境的影响。这种循环经济方法旨在从一个平均每年生产5000吨鲑鱼的陆基循环水产养殖系统（RAS）中回收养分和能源。相比之下，目前常见的解决方案之一，即将50%的RAS鱼污泥运往丹麦用于生产沼气，作为基线进行了评估。一项生命周期评估表明，将100%的鱼污泥运到丹麦进行厌氧消化，比将一半的鱼污泥排放到环境中，只将50%的鱼污泥运到丹麦更具有环境可持续性。挪威鱼类污泥厌氧共消化的环境影响潜力低于以鱼类污泥为唯一底物的厌氧消化（在挪威）。北纬地区微藻养殖能耗高，是价值链中影响贡献最大的环节之一。挪威或丹麦各自情景所使用的电网组成（水电、其他可再生能源、化石能源）的国家差异对评估产生了重大影响。初步经济评估表明，由于从RAS废物流中回收养分和产生的能量，所有方案的运营成本都比基线方案低。

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引用次数: 0

Methodological insights of defining material criticality by assessing different electrolysis and fuel cell stacks 通过评估不同的电解和燃料电池堆来定义材料临界性的方法学见解

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-05-12 DOI: 10.1016/j.rcradv.2025.200257

Andrea Schreiber, Petra Zapp, Lavinia Reitz

Shifting economic sectors to a resource-efficient economy with zero net greenhouse gas emissions by 2050 faces major challenges for the European Union, which is highly dependent on material imports. Critical raw materials play a key role in a wide range of emerging technologies. In times of increasing demand, the assessment of critical raw materials is therefore of utmost importance. This study addresses methodological principles of various materials criticality indicators on product-level. Using the example of manufacturing different electrolysis and fuel cell stacks, these criticality indicators are applied, and the results are discussed. The case study demonstrated that alkaline electrolysis has the lowest criticality among the electrolyzers in seven out of nine criticality indicator evaluations. For fuel cells, the heavier stack concept shows lower criticality compared to the light-weight concept. One reason is the higher demand of rare earth elements and cobalt needed for manufacturing compared to heavier stack. Various rare earths are identified as critical in the manufacture of solid oxide electrolysis and fuel cell stacks. Iridium and nickel contribute most to criticality in the construction of proton exchange membrane electrolysis and alkaline electrolysis stacks, respectively. Five of nine indicators point to the same or similar criticality hotspots and can therefore set priorities for action in materials research for hydrogen and fuel cell systems. Nevertheless, when deciding for or against a material, one has to be aware that the criticality indicators use different sensitive sub-indicators which have an impact on the ranking of materials.

对于高度依赖材料进口的欧盟来说，到2050年将经济部门转变为资源节约型经济，实现零温室气体净排放，将面临重大挑战。关键原材料在广泛的新兴技术中发挥着关键作用。在需求不断增长的时代，对关键原材料的评估是至关重要的。本研究在产品层面探讨各种材料临界性指标的方法学原则。以制造不同的电解堆和燃料电池堆为例，对这些临界指标进行了应用，并对结果进行了讨论。案例研究表明，在9项临界指标评价中，碱性电解在7项指标中临界性最低。对于燃料电池来说，较重的电池组概念比轻的电池组概念具有更低的临界性。其中一个原因是与较重的堆栈相比，制造所需的稀土元素和钴的需求更高。各种稀土被认为是制造固体氧化物电解和燃料电池堆的关键。在质子交换膜电解和碱性电解堆的构建中，铱和镍分别是最关键的元素。9个指标中有5个指向相同或相似的临界热点，因此可以确定氢和燃料电池系统材料研究的优先行动。然而，在决定支持或反对一种材料时，必须意识到临界指标使用了不同的敏感子指标，这些子指标会影响材料的排名。

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引用次数: 0

The role of drivers for sustainable development in the electric vehicle adoption: A two-staged structural equation modelling-artificial neural network technique 驱动因素在电动汽车可持续发展中的作用：一个两阶段结构方程模型-人工神经网络技术

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-04-08 DOI: 10.1016/j.rcradv.2025.200255

Rohit Bansal , Yasmeen Ansari

Automobile technology is improving, enabling the development of electric vehicles, which are expected to replace traditional combustion-powered vehicles. The study explores the role of perceived benefits, policy interventions, public opinions, knowledge, and awareness toward using and buying electric vehicles. 434 random responses were analyzed about their intention. The study uses public opinion and awareness as mediating variables towards adopting electric vehicles with an advanced, “two-staged structural equation modelling-artificial neural network” technique. Findings suggest that the public's opinion, policy interventions, perceived benefits, and perceived risk are significantly related to buying electric vehicles. The sample includes 55.76 % male and 44.24 % female respondents. 30 % are postgraduate, 78 % are single, and 80 % live in urban. The findings will be essential for manufacturers and policymakers to formulate and implement strategies to boost electric vehicle market penetration. Based on the result, the study discussed the practical and managerial implications of adopting electric vehicles in an emerging market and provided suggestions for future directions.

汽车技术的进步使电动汽车的发展成为可能，有望取代传统的内燃机汽车。该研究探讨了对使用和购买电动汽车的感知效益、政策干预、公众舆论、知识和意识的作用。对434份随机回复进行了意向分析。该研究采用先进的“两阶段结构方程建模-人工神经网络”技术，将公众舆论和意识作为采用电动汽车的中介变量。结果表明，公众舆论、政策干预、感知利益和感知风险与购买电动汽车显著相关。样本包括55.76%的男性和44.24%的女性受访者。30%是研究生，78%是单身，80%生活在城市。研究结果对于制造商和政策制定者制定和实施促进电动汽车市场渗透的战略至关重要。基于研究结果，本研究讨论了在新兴市场采用电动汽车的实践和管理意义，并为未来的发展方向提出了建议。

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引用次数: 0

Optimising rainwater harvesting systems under uncertainty: A multi-objective stochastic approach with risk considerations 在不确定情况下优化雨水收集系统：考虑风险的多目标随机方法

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-04-05 DOI: 10.1016/j.rcradv.2025.200254

Alireza Shefaei , Arash Maleki , Jan Peter van der Hoek , Nick van de Giesen , Edo Abraham

Optimising rainwater harvesting (RWH) systems’ design involves sizing the storage and catchment areas to enhance cost-effectiveness, self-sufficiency, and water quality indicators. This paper considers the design of RWH systems under long-term uncertainty in precipitation and demands. In this work, we formulate and solve a multi-objective stochastic optimisation problem that allows explicit trade-offs under uncertainty, maximising system efficiency and minimising deployment cost. We use the yield after spillage (YAS) approach to incorporate the physical and operational constraints and the big-M method to reformulate the nonlinear minmax rules of this approach as a mixed-integer linear programming (MILP) problem. By posing a risk averseness measure on efficiency as a conditional value at risk (CVaR) formulation, we guarantee the designer against the highest demand and driest weather conditions. We then exploit the lexicographic method to effectively solve the multi-objective stochastic problem as a sequence of equivalent single-objective problems. A detailed case study of a botanical garden in Amsterdam demonstrates the framework’s practical application; we show significant improvements in system efficiency of up to 15.5% and 28.9% in the driest scenarios under risk-neutral and risk-averse conditions, respectively, compared to deterministic approaches. The findings highlight the importance of taking into account multiple objectives and uncertainties when designing RWH systems, allowing designers to optimise efficiency and costs based on their specific requirements without extensive parameterisation.

优化雨水收集（RWH）系统的设计包括确定存储和集水区的大小，以提高成本效益、自给自足和水质指标。本文考虑了在降水和需求长期不确定性条件下的水冷供水系统设计问题。在这项工作中，我们制定并解决了一个多目标随机优化问题，该问题允许在不确定性下进行明确的权衡，最大化系统效率和最小化部署成本。我们使用溢出后产量（YAS）方法来结合物理和操作约束，并使用大m方法将该方法的非线性最小最大规则重新表述为混合整数线性规划（MILP）问题。通过将效率的风险规避度量作为条件风险值（CVaR）公式，我们保证设计师不受最高需求和最干燥天气条件的影响。然后，我们利用词典法将多目标随机问题有效地求解为一系列等效的单目标问题。阿姆斯特丹植物园的详细案例研究展示了该框架的实际应用；我们发现，与确定性方法相比，在风险中性和风险厌恶条件下，在最干旱的情况下，系统效率分别提高了15.5%和28.9%。研究结果强调了在设计RWH系统时考虑多个目标和不确定性的重要性，使设计人员能够根据他们的特定要求优化效率和成本，而无需大量参数化。

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引用次数: 0

Unlocking advanced waste management models: Machine learning integration of emerging technologies into regional systems 开启先进的废物管理模式：将新兴技术融入区域系统的机器学习

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-03-16 DOI: 10.1016/j.rcradv.2025.200253

Nicolás Martínez-Ramón , Robert Istrate , Diego Iribarren , Javier Dufour

The waste management sector requires specialized systems analysis tools to facilitate decision-making and make waste management sustainable and efficient. While integrated systemic approaches exist for assessing conventional waste management systems, the integration of emerging technologies such as gasification, pyrolysis, and methane dry reforming remains largely overlooked. In this work, these three technologies have been integrated into a conventional regional waste management model by abstracting rigorous simulation models into machine-learning surrogate models. The resulting technology-rich waste management model incorporates material flow analysis and life-cycle assessment as tools for supporting policy and decision-making. The model was tested by assessing the environmental impacts and landfill rates for three technology implementation scenarios. Overall, the inclusion of these emerging technologies led to an environmental performance improvement compared to a reference system. For example, a 116.5 % reduction of the carbon footprint in the most optimistic scenario. Nevertheless, the mere addition of these technologies was not enough to achieve landfill rates below 10 %, reaching 37.6 % in the most optimistic scenario. Therefore, properly sizing capacity was found to be a key factor in minimizing both environmental impact and landfill rate.

废物管理部门需要专门的系统分析工具来促进决策，并使废物管理具有可持续性和高效性。虽然已有评估传统废物管理系统的综合系统方法，但气化、热解和甲烷干重整等新兴技术的整合在很大程度上仍被忽视。在这项工作中，通过将严格的模拟模型抽象为机器学习代用模型，将这三种技术整合到传统的区域废物管理模型中。由此产生的技术丰富的废物管理模型将物料流分析和生命周期评估作为支持政策和决策的工具。通过评估三种技术实施方案的环境影响和垃圾填埋率，对模型进行了测试。总体而言，与参考系统相比，纳入这些新兴技术可改善环境绩效。例如，在最乐观的情况下，碳足迹减少了 116.5%。然而，仅仅增加这些技术还不足以使垃圾填埋率低于 10%，在最乐观的情况下，填埋率达到 37.6%。因此，适当确定处理能力是将环境影响和填埋率降到最低的关键因素。

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引用次数: 0

Shedding light on decommissioning solar panel streams: A system dynamics model for volume estimation 对退役太阳能电池板流的启示：体积估计的系统动力学模型

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-02-26 DOI: 10.1016/j.rcradv.2025.200252

Beatriz Pérez Horno, Andreas Feldmann, Cali Nuur

The global expansion of solar energy presents a paradox: while it is a key sustainable technology, a comprehensive waste management strategy for decommissioned solar panels remains insufficient. Previous studies have examined this issue, yet waste volume estimations remain incomplete due to the exclusion of early waste streams and the failure to account for temporal fluctuations in key variables. This study addresses these gaps by employing System Dynamics Modelling (SDM) to capture a more nuanced understanding of the heterogeneity of decommissioned panels. The findings reveal significant discrepancies between projections from conventional static models and those generated by the developed model, underscoring the need for more adaptive forecasting methods that account for temporal variations and the evolving characteristics of decommissioned panels. Furthermore, this paper highlights the inefficiencies of uniform waste management approaches, emphasizing the need for differentiated strategies based on panel characteristics. Crucially, the findings challenge the recycling-centric paradigm by exposing the overlooked potential of functional discarded panels, advocating for circular strategies that prioritize reuse and secondary markets.

太阳能的全球扩张呈现出一个悖论：虽然它是一项关键的可持续技术，但对退役太阳能电池板的全面废物管理战略仍然不足。以前的研究已经审查了这一问题，但由于排除了早期废物流和未能考虑关键变量的时间波动，对废物量的估计仍然不完整。本研究通过采用系统动力学建模（SDM）来更细致地了解退役面板的异质性，从而解决了这些差距。研究结果显示，传统静态模式的预估与已开发模式的预估之间存在重大差异，强调需要更有适应性的预测方法，以考虑到时间变化和退役面板的演变特征。此外，本文强调了统一废物管理方法的低效率，强调了基于面板特征的差异化策略的必要性。至关重要的是，研究结果通过揭示功能性废弃面板被忽视的潜力，挑战了以回收为中心的范式，倡导优先考虑再利用和二级市场的循环战略。

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引用次数: 0

Recycling rare earth metals from luminescent fibers by solvent extraction 溶剂萃取法回收发光纤维中的稀土金属

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-02-06 DOI: 10.1016/j.rcradv.2025.200251

Agata Szczeszak , Ayush Agarwal , Laura Torrent , Albert J. Schuler , Tomasz Grzyb , Dominika Przybylska , Christian Ludwig , Ajay B. Patil

Rare earth elements (REEs) are known for their specialized optical and electronic properties that have led to their use in a wide range of applications, such as luminescent fibers employed in security papers (e.g., bank notes). Most of the security documents are disposed at the end of their life, losing the raw materials. Considering REEs are listed as critical raw materials, adoption of sustainable recycling and circular economy practices are imperative for ensuring supply chains in the future and aligning with United Nations sustainable development goals. In this contribution, a recycling method consisting of leaching and solvent extraction-based separation for recovering REEs from luminescent fibers is presented. An optimization of the separation method for extracting the metals of interest (Er, Y, La, Gd, Yb, Ho, Tm, Tb, and Eu) was carried out by assessing selective extractants (di-(2-ethylhexyl) phosphoric acid (HDEHP) and N-methyl-N,N,N-trioctylammonium chloride (Al336)), the ligand concentration and the acid concentration. The former showed high selectivity and extractive performance for most of the heavy REEs (>95 %) by using the HDEHP ligand (1.0 mol/L) and adjusting the acid concentration of the aqueous solution at 0.01 mol/L with hydrochloric acid. The developed extractive metallurgy process was applied to doped REE cellulose fibers after performing a digestion, showing impressive extraction profiles in most cases (>80 %). The solvent separation method presented in this work can be employed for other classes of doped fibers after a proper optimization process and can make security fiber industry circular with its resources use.

稀土元素（ree）以其特殊的光学和电子特性而闻名，这使得它们在广泛的应用中得到了应用，例如用于防伪纸（例如，纸币）的发光纤维。大多数安全文件在其使用寿命结束时被处理掉，失去了原材料。考虑到稀土元素被列为关键原材料，采用可持续回收和循环经济实践对于确保未来的供应链并与联合国可持续发展目标保持一致至关重要。本文提出了一种由浸出和溶剂萃取分离组成的从发光纤维中回收稀土元素的回收方法。通过对选择性萃取剂（二-（2-乙基己基）磷酸（HDEHP）和N-甲基-N，N，N-三辛基氯化铵（Al336））、配体浓度和酸浓度的评价，对提取目的金属（Er， Y, La, Gd, Yb, Ho, Tm， Tb和Eu）的分离方法进行了优化。前者采用HDEHP配体（1.0 mol/L）和盐酸调节水溶液的酸浓度为0.01 mol/L，对大多数重稀土元素（> 95%）具有较高的选择性和萃取性能。在进行消化后，将开发的萃取冶金工艺应用于掺杂稀土纤维素纤维，在大多数情况下显示出令人印象深刻的萃取曲线（> 80%）。本研究提出的溶剂分离方法经过适当的优化处理，可用于其他类型的掺杂纤维，并可使安全纤维工业实现资源循环利用。

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引用次数: 0

Critical materials and manufacturing: Comparing China, the European Union, Japan, and the United States 关键材料和制造业：比较中国、欧盟、日本和美国

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-01-27 DOI: 10.1016/j.rcradv.2025.200250

Sangita Gayatri Kannan , Maxwell Fleming , Jusse Hirwa , Emilio Castillo , Roderick Eggert

Manufacturers worldwide depend on supply chains for raw material inputs and intermediate products, with varying importance and risk levels across countries and supply chain stages. Understanding these variations is essential for developing strategies to mitigate supply chain vulnerabilities. This study adds a geographic dimension to the existing criticality assessment framework by simultaneously comparing material criticality in China, the European Union (EU), Japan, and the United States (US). It assesses supply chain risk (two stages: mining, processing) and economic importance for twelve materials representing infrastructure, battery, specialty, and other materials. Our analysis reveals distinct regional differences: China faces greater supply risk at the mining stage, primarily due to its reliance on imported raw materials for certain minerals, while the United States experiences higher supply risk at the processing stage, stemming from limited domestic processing capabilities. The EU and Japan exhibit higher supply risks overall than both the US and China, largely because of limited domestic production capacities. Japan has the highest number of materials—eight out of twelve—with both high supply risk and economic importance. Materials with the greatest difference in criticality among regions are rare-earths and aluminum at the processing stage, where processing bottlenecks and concentration of processing facilities heighten supply risks, and lithium, nickel, and cobalt at the mining stage, due to geographic concentration of mining activities and rising demand driven by battery production. These findings highlight the necessity for region-specific strategies to address supply chain risks, such as diversifying import sources, investing in mining/processing infrastructure, and stockpiling.

世界各地的制造商依赖于原材料投入和中间产品的供应链，不同国家和供应链阶段的重要性和风险水平各不相同。了解这些变化对于制定减轻供应链脆弱性的战略至关重要。本研究通过同时比较中国、欧盟（EU）、日本和美国的材料临界性，为现有的临界性评估框架增加了地理维度。它评估了12种材料的供应链风险（两个阶段：采矿、加工）和经济重要性，这些材料包括基础设施、电池、特种材料和其他材料。我们的分析显示了明显的区域差异：中国在采矿阶段面临更大的供应风险，主要是由于某些矿物依赖进口原材料，而美国在加工阶段面临更高的供应风险，这是由于国内加工能力有限。总体而言，欧盟和日本的供应风险高于美国和中国，这在很大程度上是因为国内生产能力有限。日本拥有最多的稀土原料——12种中有8种——供应风险和经济重要性都很高。区域间临界差异最大的材料是处于加工阶段的稀土和铝，加工瓶颈和加工设施的集中加剧了供应风险；以及处于采矿阶段的锂、镍和钴，这是由于采矿活动的地理集中和电池生产推动的需求上升。这些研究结果突出表明，有必要制定针对特定区域的战略来应对供应链风险，例如使进口来源多样化、投资于采矿/加工基础设施以及储备。

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引用次数: 0

Exploring a nexus among green behavior and environmental sustainability: A systematic literature review and avenues for future research 探索绿色行为与环境可持续性之间的联系：系统的文献综述和未来研究的途径

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances

Pub Date : 2025-01-18 DOI: 10.1016/j.rcradv.2025.200249

Noor Islam Jasim , Saraswathy Shamini Gunasekaran , Mohammed A. Al-Sharafi , Muhammed Ibrahim , Abba Hassan , Moamin A. Mahmoud , Adnan Bakather

To systematically review and synthesize research on green behavior, examining its theoretical foundations, influencing factors, and broader implications for environmental sustainability, a systematic literature review was conducted following PRISMA guidelines, utilizing Scopus and Web of Science databases. The search yielded 130 studies, with 88 meeting the inclusion criteria based on factors like language, peer-review status, theoretical framework, and relevance. The objective is to encapsulate the diversity of theoretical frameworks, methodologies, and empirical findings that define this vibrant area of research. The review delineates the significant surge in scholarly attention towards green behavior, highlighting its emergent role in promoting sustainable environmental practices across various sectors. It provides a nuanced understanding of the drivers, barriers, and outcomes associated with adopting green behaviors, underscoring the complexity of navigating toward sustainability. The analysis reveals a predominant reliance on quantitative methods to explore the phenomena while pointing out the relative scarcity of studies addressing the socioeconomic dimensions underpinning green behavior. This paper identifies critical gaps by offering a holistic view of the academic landscape. It suggests avenues for future research, particularly the need for an integrated approach encompassing environmental, social, and economic considerations. In doing so, it aims to contribute to a more comprehensive discourse on sustainable practices, encouraging multidisciplinary collaborations to address the multifaceted challenges of environmental sustainability.

为了系统回顾和综合有关绿色行为的研究，考察其理论基础、影响因素及其对环境可持续性的广泛影响，本文根据PRISMA的指导方针，利用Scopus和Web of Science数据库进行了系统的文献综述。搜索产生了130项研究，其中88项符合基于语言、同行评议状态、理论框架和相关性等因素的纳入标准。目的是概括定义这个充满活力的研究领域的理论框架、方法和实证研究结果的多样性。该评论描述了对绿色行为的学术关注的显著激增，强调了其在促进各个部门的可持续环境实践方面的新兴作用。它提供了与采用绿色行为相关的驱动因素、障碍和结果的细致理解，强调了走向可持续发展的复杂性。该分析揭示了主要依赖定量方法来探索这一现象，同时指出解决支撑绿色行为的社会经济维度的研究相对稀缺。本文通过提供学术景观的整体视图来确定关键的差距。它提出了未来研究的途径，特别是需要一种综合的方法，包括环境、社会和经济方面的考虑。在此过程中，它旨在促进对可持续实践的更全面的论述，鼓励多学科合作，以应对环境可持续性的多方面挑战。

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引用次数: 0