Environmental Impact Assessment Review最新文献

{"title":"Assessing the impact of tiered water pricing policy on residential water consumption in China: A national evaluation and spatial heterogeneity analysis","authors":"Boxiao Zhang ,&nbsp;Mengjie Yang ,&nbsp;Mengting Li ,&nbsp;Yuji Ji ,&nbsp;Qijia Zhu ,&nbsp;Yong Zhang ,&nbsp;Kai Yang","doi":"10.1016/j.eiar.2026.108395","DOIUrl":"10.1016/j.eiar.2026.108395","url":null,"abstract":"<div><div>Tiered water pricing is a key policy instrument for managing urban residential water demand, with its effectiveness critically depends on how pricing structures are designed. However, existing evidence remains limited in providing a nationally consistent and spatially explicit assessment of how the core design parameters of volumetric thresholds, price levels, and gradients jointly influence residential water consumption. In this study, the implementation of tiered water pricing across 284 municipal cities in China is systematically evaluated, and double-log regression and geographically weighted regression methods are employed to assess how the core parameters of tiered water pricing influence urban residential water consumption. The results reveal pronounced north–south differentiation in pricing structures, with higher price levels prevailing in water-scarce northern regions and more generous volumetric thresholds concentrated in southern regions characterized by higher precipitation. At the national scale, residential water consumption responds significantly to threshold volumes, price levels, and price gradients, underscoring the importance of coordinated policy design. The estimated effects display pronounced spatial heterogeneity across cities, which is consistent with regional differences in economic development, water resource endowments, and climatic conditions. These findings provide empirical support for context-specific pricing reforms aimed at improving urban water conservation outcomes.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108395"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Formulating effective environmental policies for accelerated replacement of high-emission construction equipment","authors":"Yiyi Zhu,&nbsp;Hongqin Fan","doi":"10.1016/j.eiar.2026.108389","DOIUrl":"10.1016/j.eiar.2026.108389","url":null,"abstract":"<div><div>Environmental charges are an effective policy instrument for mitigating emissions from highly polluting sectors. However, few studies or effective programs have focused on implementing environmental charges specifically targeting high-emission construction equipment to incentivize early replacement and mitigate associated environmental and health impacts. This study develops a method to investigate how environmental charges influence the replacement decisions of in-use construction equipment, combining a defender-challenger replacement model with a health impact assessment of PM_2.5 and NO₂ emissions for site workers and affected neighborhoods. The monetized health impact of retaining old equipment is treated as an economic cost to be recovered through environmental charges imposed on equipment owners. The Economic Replacement Year (ERY) is defined as the decision point at which the annual cost of retaining the old equipment (defender) exceeds that of replacing it with a new model (challenger) available on the market. Applied to a building project deploying selected excavators operating in Hong Kong, the model demonstrates that imposing 100% of environmental costs on contractors can advance the ERY by up to 5 years. Findings further indicate that owners of higher-horsepower equipment should bear a dominant share (e.g., 80%) of the environmental costs to achieve the intended acceleration of replacement, while a lower portion (e.g., 40%) is sufficient for smaller equipment. This suggests that contractors operating larger, high-emission equipment should assume a greater share of the environmental costs to achieve the intended acceleration of equipment replacement, given the greater health damage caused. Research into determining an appropriate allocation of environmental recovery costs to contractors is essential for designing effective policies that accelerate the replacement of equipment. The results provide policymakers with references for designing targeted economic instruments to phase out high-emission construction equipment, striking a balance between pollution reduction objectives and the financial burden on contractors.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108389"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region","authors":"Linpeng Yang ,&nbsp;Yansui Liu ,&nbsp;Qiang Wang ,&nbsp;Cong Ou ,&nbsp;Qianxi Zhang","doi":"10.1016/j.eiar.2026.108383","DOIUrl":"10.1016/j.eiar.2026.108383","url":null,"abstract":"<div><div>Balancing food security with environmental sustainability represents a fundamental challenge for global agriculture, necessitating a comprehensive assessment of cropland use sustainability to inform science-based decision-making. Current methodologies present two main limitations: while integrated indicator frameworks are effective for diagnosing agricultural development patterns, their analytical perspectives tend to be static, and they are often constrained by data limitations in capturing key parameters of agroecosystem processes. Conversely, process-based models excel at simulating detailed agroecosystem dynamics but seldom translate these simulations into spatially differentiated management strategies. To address this gap, this study developed an integrated framework coupling process-based simulation with diagnostic assessment, centered on a dynamic, multidimensional Ecological Cropland Use Index (ECUI) that synthesizes productivity, environmental impact, and resource use efficiency into a composite sustainability metric. We applied this framework to China's Huang-Huai-Hai region, a critical grain-producing area facing acute sustainability pressures, using outputs from a regionally calibrated PEST-DNDC model. Our analysis from 2001 to 2020 indicates that regional grain output increased by 128.1%, yet this gain coincided with a fundamental shift from a net carbon sink to a persistent net source, with croplands incurring an annual SOC loss of 79.88 Tg C in 2020, alongside rising greenhouse gas emissions. Spatially, over 70% of croplands experienced ECUI degradation, with high-sustainability zones shifting from traditional agricultural cores to the Bohai Rim. Key systemic constraints include low nitrogen-use efficiency, soil carbon decline, and suboptimal yields. Based on diagnostic analyses, we propose targeted optimization strategies for identified constraint zones. This study demonstrates how linking mechanistic modeling with diagnostic indices can elucidate sustainability trade-offs and generate actionable management insights. The framework offers a transferable pathway for guiding the sustainable intensification of agricultural systems worldwide.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108383"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A lifecycle-integrated GHG management framework: Long-term allocation mechanism to prevent abatement misreporting","authors":"Hyungsu Kang ,&nbsp;Hyunmin Daniel Zoh ,&nbsp;Sumin Jeon","doi":"10.1016/j.eiar.2026.108354","DOIUrl":"10.1016/j.eiar.2026.108354","url":null,"abstract":"<div><div>While emission trading schemes (ETSs) have contributed to greenhouse gas (GHG) emission abatement achievement in some countries, current free allocation systems still contain baseline problems caused by measuring differences between baseline settings and actual emissions. Notably, existing grandparenting and benchmarking methodologies for the baseline setting would induce market participants to inflate their project baselines to overestimate emission reduction allowances. To mitigate overreporting risks above, this study introduces a GHG allocation model (GMD) applying the Macaulay duration (MD) financial concept. It addresses to incentivize honest GHG disclosure and promote carbon neutrality approaches, by avoiding limitations of traditional baseline setting. Suggested GMD model focuses on the GHG emission lifecycle similar to issuance and redemption of bonds. Mathematical derivation of the model is designed gradual emission reductions throughout project lifecycles. And honest disclosure of actual emissions represents the optimal strategy for agents. This model has two key novelties compared with other mechanisms: preventing baseline overestimation and ensuring continuous progress toward carbon neutrality. And additional simulation using initial realistic emission data shows how GMD model induces accurate emission reporting while naturally decreasing allowances over time. The simulation suggest that GMD model is more effective to avoid misreporting while maintaining flexibility by each project characteristic. Furthermore, policymakers can adjust project GHG emissions by setting simple GMD values according to operational periods. This presents a pathway enabling economic subjects to establish emission plans autonomously while achieving long-term abatement. GMD framework and modeling provides lifecycle-integrated GHG management for accurate report and net zero action.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108354"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Over-agglomeration and eco-efficiency trade-offs in China's textile industry: An environmental pressure - based assessment","authors":"Siyuan Zhang ,&nbsp;Rentao Zhang ,&nbsp;Ye Liang ,&nbsp;Cheng Xie ,&nbsp;Chenye Xu ,&nbsp;Chensi Shen ,&nbsp;Fang Li","doi":"10.1016/j.eiar.2026.108386","DOIUrl":"10.1016/j.eiar.2026.108386","url":null,"abstract":"<div><div>The agglomeration of the textile industry has exerted severe environmental pressures, yet its eco-efficiency remains insufficiently understood, raising concerns about its long-term sustainability. To address this, this study developed a comprehensive province-level environmental pressure inventory and integrated it into a systematic impact assessment framework to evaluate total factor eco-efficiency (TFEE) from 2000 to 2022 in China. By integrating the Super-SBM model, the Malmquist-Luenberger (ML) index, Dagum Gini coefficient, spatial analysis, and threshold regression, this framework provides a comprehensive assessment of temporal dynamic, spatial disparities, and the role of industrial agglomeration. The results indicated that total environmental pressure of greenhouse gas (GHG) and water pollutants in 2022 reached 232.62 Mt CO₂ eq. and 51.88 Gg, respectively. Although TFEE demonstrated an overall upward trajectory, rising from 0.2266 in 2000 to 0.3344 in 2022, significant spatial disparities persisted. The western provinces exhibited higher TFEE due to lower environmental pressures, highlighting a spatial trade-off between industrial scale and environmental burden. Furthermore, a nonlinear threshold effect was identified between industrial agglomeration and TFEE in the textile sector: industrial agglomeration improves TFEE below a critical level (location quotient = 0.636) but hinders it once agglomeration exceeds this threshold. These findings highlight the dual role of agglomeration and underscore the need for differentiated regional strategies, such as synergistic, pollution reduction, and industrial relocation strategies, to reconcile economic growth with environmental sustainability.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108386"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Living in harmony with nature: From concept to an index revealing gaps in nature wellbeing and human contributions","authors":"Fangyi Wang ,&nbsp;Rui Yang ,&nbsp;Joshua D. Fisher","doi":"10.1016/j.eiar.2026.108357","DOIUrl":"10.1016/j.eiar.2026.108357","url":null,"abstract":"<div><div>Global conservation goals call for transformative change to address escalating ecological crises. However, current targets, including sustainable development, remain insufficient for enabling effective actions and changes. In this context, <em>living in harmony with nature</em> has emerged as a global vision, yet the goal still lacks an operational definition and sound methods for assessment and tracking. Existing indices often reflect human-centric values and fail to distinguish between measures of outcomes and inputs, limiting their ability to support tailored policy design. In response, this study clarifies the cross-cultural foundations of <em>living in harmony with nature</em> to uncover avenues for cross-cultural integration of the global goal, and introduces the novel Harmony Index as a method for evaluating system states and processes toward this goal. The concept of <em>living in harmony with nature</em> emphasizes the integrity of nature-human systems, acknowledges the intrinsic rights of nature, and recognizes human responsibilities in shaping this relationship. The Harmony Index consists of two complementary sub-indices: the State Index, evaluating the wellbeing of nature and humans, and the Process Index, measuring positive and negative human contributions to nature. An innovative distance-based calculation method, inspired by the Barometer of Sustainability, ensures balanced index integration. Applied to China's mainland (31 provinces), the Harmony Index yields a national score of 71.49. The State Index reveals that nature wellbeing lags behind human wellbeing by 13.49 points nationally and 9.54 provincially. The Process Index highlights limited positive contributions to nature, with a score of 51.82 nationally, and reveals major gaps in ecosystem conservation and climate action. The study further develops province categorization and indicator prioritization methods to demonstrate a strategy for tailored policies. Overall, this study offers a culturally grounded, scalable framework to bridge cultures, science, and policy, enabling governments to track progress and inform effective actions toward <em>living in harmony with nature</em>.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108357"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large language model-driven analysis of supply risk dynamics in global electric vehicle supply chain","authors":"Lanxin Zhang ,&nbsp;Xin Sun ,&nbsp;Mao Xu ,&nbsp;Yuyao Yang ,&nbsp;Tingting Zhang ,&nbsp;Zongguo Wen","doi":"10.1016/j.eiar.2026.108378","DOIUrl":"10.1016/j.eiar.2026.108378","url":null,"abstract":"<div><div>Driven by ambitious climate targets, the rapid growth of electric vehicles (EV) is creating complex global supply chains that are increasingly exposed to disruptions. While supply risks, such as political instability and resource scarcity, are widely recognized, systematic assessments of disruption events across the entire EV supply chain remain limited. This study employs a Large language model (LLM) with prompt engineering to identify disruption events from unstructured textual data and further analyze risk dynamics. Applying this approach to 3125 news articles from 2006 to 2025, we extract 2843 documented events and further categorize them into 50 disruption event types and 8 supply risk types, spanning 49 supply chain stages and 78 countries and regions. We find that geopolitical risks have emerged as the dominant concern in recent years. Vehicle assembly, battery manufacturing, and lithium ore extraction emerged as the most vulnerable stages. Geographic heterogeneity in risk distribution reveals the distinct roles countries play in the global EV supply chain. This proposed LLM-based framework provides actionable insights for enhancing supply chain resilience during the accelerating EV transition.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108378"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating spatial patterns of ecosystem service scarcity into territorial spatial governance with multiethnic perception perspective","authors":"Chang You ,&nbsp;Wenshu Liu ,&nbsp;Lanhui Zhou ,&nbsp;Chen-Chieh Feng ,&nbsp;Luo Guo","doi":"10.1016/j.eiar.2026.108358","DOIUrl":"10.1016/j.eiar.2026.108358","url":null,"abstract":"<div><div>Against the backdrop of increasing global environmental pressures, clarifying the feature contribution factors influencing the ecosystem service scarcity value (ESSV) under human activities is essential for promoting ecological conservation and sustainable economic development. This study revolutionizes ESSV assessment by embedding supply-demand sensitivity and population elasticity into a reconstructed scarcity framework, combined with the interpretability of Transformer and SHAP to decode nonlinear, spatiotemporal human-ecosystem interactions in China (1990–2020). It is the first to integrate a nationwide multi-ethnic perception survey, revealing long-overlooked sociocultural drivers in ecosystem service research and expanding the analytical frontier beyond the biophysical and economic realms. The main findings include: (1) Over the past 30 years, the supply and demand side values have increased significantly, mainly influenced by demand-side factors such as population growth and consumption upgrades. Meanwhile, environmental quality indicators such as NDVI and PM_2.5, along with demand-side measures of human activity intensity such as the human footprint and transportation accessibility, also play pivotal roles in shaping ESSV. These factors essentially reflect the ecological pressures stemming from growing demand and their subsequent feedback effects; the spatial pattern highlights the fluctuations and increased pressure on the economically active eastern coastal city clusters; (2) Among ecological indicators, NDVI becomes a positive core driving factor, while PM2.5 levels and human footprint index continue to inhibit ecosystem functions, and transportation accessibility shows a complex two-way impact; (3) Traditional agricultural cultural dependence, ecological knowledge dissemination, pressure perception, and conservation intentions enhance public recognition of ESSV and encourage pro-ecological behaviors (e.g., environmental protection, rational resource use), thereby indirectly shaping the supply-demand balance of ecosystem services. The obvious differences in perception among different ethnic groups highlight the key role of sociocultural dimensions in ecological management. The high-precision and interpretable deep learning spatiotemporal analysis framework proposed in this paper not only enriches the theoretical understanding of ESSV but also provides important insights for formulating spatially differentiated conservation policies and effectively catalyzing public ecological participation, thereby supporting the sustainable management and development of ecosystem services.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108358"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupling physical and social resilience in disaster risk governance: Insights from landslide-prone mountain regions of the eastern Tibetan plateau","authors":"Mingyang Li ,&nbsp;Yibin Ao ,&nbsp;Panyu Peng ,&nbsp;Yingying Wang ,&nbsp;Jun Liao ,&nbsp;Zhongli Zhou ,&nbsp;Igor Martek","doi":"10.1016/j.eiar.2026.108351","DOIUrl":"10.1016/j.eiar.2026.108351","url":null,"abstract":"<div><div>Despite the widespread application of regional resilience assessments in urban areas, limited attention has been given to the assessment and analysis of rural resilience, particularly regarding the integration of physical exposure risk and social recovery capacity at the county scale. The southeastern margin of the Tibetan Plateau, which is frequently affected by landslides and characterized by fragmented terrain and vulnerable social systems, represents a typical compound risk scenario in mountainous regions. These conditions place higher demands on the adaptive capacity and resilience governance of rural systems. In response, this study developed a dual-dimensional landslide resilience assessment model tailored to mountainous rural areas and conducted an empirical analysis of 40 counties in western Sichuan. Physical resilience was modeled using an integrated approach combining information value modeling, spy sample optimization, and ensemble learning algorithms. Social resilience was assessed through a robustness–resistance–recovery framework, employing a combined entropy–CRITIC weighting method and a grey relational analysis model. Results revealed a southeast-to-northwest decreasing pattern of regional resilience, with some counties showing a concurrence of high physical exposure and low social recovery capacity. Four resilience typologies were further identified, and differentiated governance recommendations were proposed based on the identified driving mechanisms of physical and social resilience. This study provides a scalable and transferable framework for quantifying resilience in high-risk mountainous areas and offers theoretical support for enhancing spatial risk governance and disaster adaptation under complex geomorphic conditions.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108351"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A nexus of barriers and strategies for circular economy implementation in the construction industry: A structural equation modeling approach","authors":"Sulemana Fatoama Abdulai ,&nbsp;Gabriel Nani ,&nbsp;Ridwan Taiwo ,&nbsp;Tarek Zayed ,&nbsp;Azeez Arisekola Jimoh ,&nbsp;Akinlo Olorunju Mogbojuri","doi":"10.1016/j.eiar.2026.108397","DOIUrl":"10.1016/j.eiar.2026.108397","url":null,"abstract":"<div><div>The construction industry's significant environmental footprint, consuming 40% of global raw materials and generating 33% of greenhouse gas emissions, necessitates an urgent transition from linear to circular economy (CE) models. While previous research has identified individual barriers and strategies for CE implementation, the quantitative relationship between these constructs remains unexplored. This study addresses this gap by developing and validating a framework linking CE barriers to implementation strategies in Ghana's construction industry using Partial Least Squares Structural Equation Modeling (PLS-SEM). Through a systematic literature review, 21 barriers were categorized into four constructs: market policy and technology-related, legal and institutional, supply chain-related, and product design and waste management barriers. A structured questionnaire survey of construction professionals in Ghana validated the measurement model and tested the hypothesized barrier-strategy relationship. Results demonstrate a strong positive relationship (β = 0.731, <em>p</em> &lt; 0.05) between CE barriers and strategies, with barriers explaining 53.5% of variance in strategy adoption. Market policy and technology-related barriers emerged as most influential (β = 0.482), followed by legal and institutional barriers (β = 0.352). Eight critical strategies were identified for CE implementation, including enhanced building waste management regulations, stakeholder education, and national action plan development. The validated framework provides evidence-based insights for policymakers and practitioners in Ghana to develop targeted interventions that address CE barriers while promoting effective CE strategies in the building sector.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108397"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}