Environmental Impact Assessment Review最新文献

{"title":"Subsidy or reward-penalty? The effects of government policies on environmental responsibility decisions in the prefabricated construction supply chain","authors":"Qingrui Tan ,&nbsp;Meng Ye ,&nbsp;Kunhui Ye","doi":"10.1016/j.eiar.2025.108089","DOIUrl":"10.1016/j.eiar.2025.108089","url":null,"abstract":"<div><div>Prefabricated construction has shifted environmental responsibilities (ERs) from on-site construction to off-site factories, necessitating both upstream and downstream enterprises in the supply chain assume these responsibilities. Environmental policies are key tools for incentivizing ER behavior in enterprises, but the choice between subsidies and penalties remains an important issue. This study evaluates the impact of subsidy and reward-penalty mechanisms on ER implementation within prefabricated construction supply chains (PCSC). A three-level supply chain model is developed based on the Stackelberg game, involving the government, contractor, and supplier. The paper analyzes optimal decision-making under both mechanisms and compares their environmental outcomes. The result indicates that, under both mechanisms, the contractor and supplier assume the same ERs. The subsidy mechanism encourages both enterprises to generate additional profits through ER adoption, but yield less environmental benefits than the reward-penalty mechanism. Reward-penalty mechanisms demonstrate superior environmental performance yet impose systemic profit loss, as compliance costs exceed governmental incentives. An adaptive policy framework is introduced, prioritizing reward-penalty mechanism for environmentally critical regions and subsidy mechanism for economically vulnerable areas. This dual approach offers actionable guidance for balancing ecological and economic objectives in modular construction governance.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108089"},"PeriodicalIF":9.8,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655745","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":"Towards regional sustainability under adaptive ecological restoration and urbanization in Shanxi Province, China: From priority areas to critical battles","authors":"Yupeng Wang,&nbsp;Jian Peng,&nbsp;Zhiwei Yang,&nbsp;Xuebang Liu,&nbsp;Yanglin Wang","doi":"10.1016/j.eiar.2025.108073","DOIUrl":"10.1016/j.eiar.2025.108073","url":null,"abstract":"<div><div>Humans are facing challenges in maintaining balanced relationships with nature, highlighting the urgent need for ecosystem restoration. While restoration efforts have mainly focused on ecological aspects, integrating the social-ecological approach into these initiatives can be crucial in achieving sustainable development. In this study, we proposed a framework for assessing development, delineating stages, and clarifying impacts. When applied to Shanxi Province, our analysis showed that ecological restoration initiatives resulted in a win-win situation for the social-ecological system in the region, with the social indicator and ecological indicator experiencing average growth rates of 17.22 % and 38.45 %, respectively. We identified two distinct phases in the process: the restoration of the priority areas (2000–2014) and the critical battles in areas under high human pressure (2014–2020). During the latter phase, the increase in the ecological indicator for areas with high social indicators was nearly double that of the earlier phase, indicating an alleviation of regional benefits distribution inequality in Shanxi Province. The positive shift was primarily attributed to ecological constraints and changes in government policies. This study contributed to the understanding of stage division in long-term ecological restoration through a social-ecological approach to achieving adaptive restoration and sustainable development.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108073"},"PeriodicalIF":9.8,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633980","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":"What does it take to stop a mine? Indigenous interventions and project rejection in Nunavut, Canada","authors":"Warren Bernauer ,&nbsp;Emilie Cameron","doi":"10.1016/j.eiar.2025.108071","DOIUrl":"10.1016/j.eiar.2025.108071","url":null,"abstract":"<div><div>Indigenous groups who oppose extractive projects make use of a range of tactics and strategies, including intervening in impact assessment (IA) processes. This article examines four cases where IA authorities recommended against the development of proposed mines in Nunavut, Canada. By comparing these cases to the assessment of projects recommended for approval, we seek to draw broad conclusions about the different types of interventions that can potentially lead to project rejection. Based on an analysis of assessment and media documents, we found that Nunavut's IA Board recommended against project approval when Indigenous groups made technical, procedural, and political interventions within and alongside IA, when Indigenous rights-bearing organizations expressed substantial outstanding concern at the final hearing, and when there was already an operating mine in the region. These findings add nuance to critiques of IA as a tool for legitimizing extraction. In contexts like Nunavut – where IA processes substantially recognize Indigenous rights and mandate Indigenous representation – participation by rights-bearing groups may be more likely to influence IA outcomes.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108071"},"PeriodicalIF":9.8,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633979","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":"Beyond theory of planned behavior: A meta-analysis of psychological and contextual determinants of household waste separation","authors":"Jiarong Hu ,&nbsp;Nkweauseh Reginald Longfor ,&nbsp;Liang Dong ,&nbsp;Xuepeng Qian","doi":"10.1016/j.eiar.2025.108087","DOIUrl":"10.1016/j.eiar.2025.108087","url":null,"abstract":"<div><div>Household waste separation plays a critical role in supporting recycling and sustainability goals, yet the psychological drivers of this behavior across diverse contexts remain insufficiently synthesized. This study presents a comprehensive meta-analysis of 46 studies (50 independent samples, <em>N</em> = 30,250), grounded in the Theory of Planned Behavior (TPB) and its extensions. The results confirm that waste separation behavior is most strongly associated with perceived behavioral control, intention, infrastructure, publicity and education, and attitude. Intention is positively associated with attitude, perceived behavioral control, moral norm, subjective norm, consequence awareness, and past behavior. Significant heterogeneity was detected, with meta-regression identifying age, gender, Human Development Index of the study region, and study quality as key moderators. Building on these findings, we identify a range of influential external factors—such as moral norms, past behavior, consequence awareness, and contextual enablers like infrastructure and education—as well as heterogeneity factors, including socio-demographic and contextual moderators that shape the strength and direction of TPB relationships. To integrate these dimensions systematically, we propose a novel theoretical framework: TPB + E(xternal) + H(eterogeneity), an extended behavioral model that expands the Theory of Planned Behavior by incorporating External influences (E) and Heterogeneity (H). This framework challenges the assumption of universality inherent in traditional TPB applications and underscores the need to account for individual and contextual variation in pro-environmental behavior. These findings thus provide not only theoretical refinement but also clear implications for developing targeted psychological and contextual interventions—such as raising awareness and improving infrastructure—to effectively promote household waste separation worldwide.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108087"},"PeriodicalIF":9.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623557","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":"Environmental impacts ofcotton and polyester textile management strategies: Comparison of separatecollection for reusing and textile waste recycling","authors":"Flaminia Fois,&nbsp;Valentina Terenzi,&nbsp;Patrizio Tratzi,&nbsp;Simone Serrecchia,&nbsp;Daniele Bianconi,&nbsp;Francesco Petracchini,&nbsp;Valerio Paolini","doi":"10.1016/j.eiar.2025.108088","DOIUrl":"10.1016/j.eiar.2025.108088","url":null,"abstract":"<div><div>The textile sector is among the most environmentally impactful, primarily due to waste generation and the large-scale production of low-quality garments designed for short-term use. Management policy efficiency is required to offset the global impact of the industry. In this study, T-shirts are selected as a representative product, and Italy is used as targeted area, being one of the leading countries in the textile production sector: while 50 % of separately collected textile waste is reused, less than 1 % is recycled, with the majority incinerated or landfilled. The present study applies a Life Cycle Assessment (LCA) to evaluate the environmental impact of cotton and polyester T-shirts across production, distribution, use, and end-of-life phases. Four scenarios (Cotton Baseline, Polyester Baseline, Cotton Future, Polyester Future) investigate different waste management strategies, including increased separate collection and the inclusion of recycling. Results show that increasing textile waste separate collection rates from 14 % to 40 % and integrating recycling can significantly reduce environmental impacts, particularly fossil depletion (up to 24 %), climate change, and freshwater ecotoxicity, primarily due to decreased primary material demand. However, polyester recycling increases water depletion, highlighting the need for process efficiency improvements. The study also identifies traceability of data as a key issue due to complex global textile supply chains. Additionally, assessing end-of-life impacts beyond national borders is crucial, as the export of textile waste to regions with inadequate waste management could lead to underestimation of environmental and human health risks.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108088"},"PeriodicalIF":9.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614719","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":"What are the carbon reduction benefits of regenerating ceramsite from solid waste? A new perspective on carbon footprint","authors":"Xiaocong Song ,&nbsp;Shuai Du ,&nbsp;Chenning Deng ,&nbsp;Fang Zhu ,&nbsp;Linzi Li ,&nbsp;Peng Shen ,&nbsp;Minghui Xie","doi":"10.1016/j.eiar.2025.108077","DOIUrl":"10.1016/j.eiar.2025.108077","url":null,"abstract":"<div><div>The ceramsite industry is experiencing the demand for low-carbon transformations; therefore, solid waste is gradually being used for raw materials. However, the carbon footprint of ceramsite products produced from solid waste and the extent of future carbon-reduction benefits remain unclear. Therefore, this study evaluated the carbon footprints of sludge, fly ash, and aluminum ash, common hazardous waste ceramsite products that are difficult to recycle. The carbon reduction potential of the three solid-waste ceramsite products were predicted and evaluated based on scenario analysis. The simultaneous addition of sludge and aluminum ash to produce ceramsite was sustainable and improved its carbon performance. Sludge‑aluminum ash ceramsite from Zhejiang Province, China, achieved carbon reduction benefits of approximately 29 % and 5 % compared to the sludge ceramsite in Zhejiang Province and fly ash ceramsite in Shandong Province, respectively. The three single factor low-carbon scenarios optimized the raw material (RMO), transportation (TO), and power (EO) structures. Under the TO and EO scenarios, a single solid-waste ceramsite product achieved maximum carbon reductions of 0.08 kg, which was lower than that of the RMO scenario (0.40 kg). In the other three collaborative low-carbon optimization scenarios, the carbon reduction potential of scenario RM-TO (simultaneously optimizing raw material and transportation structures, 12–68 %) was higher than that of scenario T-EO (simultaneously optimizing transportation and power structures). The emission reduction potential of simultaneously optimizing the three factors was the highest (∼70 %). Considering economic and time constraints, the joint optimization of transportation and raw material structure is preferred for Chinese ceramsite products.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108077"},"PeriodicalIF":9.8,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611761","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":"The contradiction between bridging the digital divide and reducing carbon emissions:Evidence from households in China","authors":"Kaiyue Zhang,&nbsp;Taihua Yan,&nbsp;Hanyu Zhang","doi":"10.1016/j.eiar.2025.108072","DOIUrl":"10.1016/j.eiar.2025.108072","url":null,"abstract":"<div><div>Bridging the digital divide (BDD) brings economic benefits to households, but it may also generate environmental costs. Based on the 2014–2020 CFPS database and county-level data, this study investigates the impacts of BDD on household carbon emissions (HCEs). To address the potential endogeneity, generalized difference-in-differences and Bartik IV as well as causal mediation effect models are applied in empirical estimates. We find that BDD increases HCEs, confirming a contradiction between reducing digital inequality and carbon reduction goals. Although BDD assists households in escaping relative poverty, it also raises high‑carbon consumption share among households. Further analysis reveals that improving environmental satisfaction, aligning social norms and increasing green space accessibility could mitigate the impact of the high‑carbon consumption share mechanism without affecting residents' well-being. In addition, BDD exerts a greater influence on HCEs when the householder is younger, the household lives in a rural area, and social capital is higher. This study innovatively reveals the contradictions and cracking mechanisms between the two sustainable development goals (SDGs), and emphasizes the importance of government measures to mitigate potential negative environmental impacts while promoting digital development at the household level.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108072"},"PeriodicalIF":9.8,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605332","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":"Consistency and divergence in drivers of soil erosion risk: Insights from heterogeneous watersheds","authors":"Zixuan Qi ,&nbsp;Qinghua Yang ,&nbsp;Yao Zhao ,&nbsp;Chunkang Zhang ,&nbsp;Yulei Xie ,&nbsp;Yanpeng Cai","doi":"10.1016/j.eiar.2025.108068","DOIUrl":"10.1016/j.eiar.2025.108068","url":null,"abstract":"<div><div>Watersheds are shaped by a complex interplay of natural geographic conditions and socioeconomic factors, resulting in marked heterogeneity. However, the drivers and mechanisms underlying specific ecological risks, such as soil erosion (SE), may exhibit greater consistency than expected. Most existing studies focus on isolated risks within individual watersheds, often overlooking comparative insights across heterogeneous regions. To address this gap, we propose a multi-model watershed ecological risk analysis framework that integrates clustering algorithms, geostatistical models, and multivariate statistical methods. The framework is applied to three typical heterogeneous sub-watersheds in the Pearl River Basin, namely the Bei River Basin (BRB), the North and South Pan Basin (NSPB), and the Pearl River Delta (PRD), to analyze the spatiotemporal dynamics, key multidimensional driving factors, and the mechanisms driving SE risk from 2000 to 2020. The findings reveal that high-risk SE hotspots are primarily located in cropland, karst regions, and urbanized areas. Land use change is identified as the dominant driver of SE risk, exerting a stronger influence than climatic factors. Among the key indicators, fractional vegetation cover (FVC), cropland area coverage degree (CACD), and nighttime lights (NLT) consistently show the greatest explanatory power. Dominant pathways include soil–vegetation coupling in karst areas, climate–vegetation regulation in agricultural zones, and human activity–vegetation disturbance in urbanized landscapes. Structural equation modeling (PLS-SEM) reveals consistent latent variable structures across the three sub-watersheds, while highlighting marked differences in the strength and direction of effects. Vegetation emerged as the strongest determinant of SE risk, with total effects of FVC being highest in the BRB (β = −0.685, <em>P</em> &lt; 0.01), followed by the PRD (β = −0.594, P &lt; 0.01), and lowest in the NSPB (β = −0.494, P &lt; 0.01). The relatively weaker vegetation effect in the NSPB may be attributed to its high agricultural intensity and extensive karst coverage, which jointly reduce the stabilizing capacity of vegetation. This heterogeneous watershed analysis framework is transferable and scalable, offering a robust foundation for advancing ecological risk assessments and informing precision watershed management under changing environmental conditions.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108068"},"PeriodicalIF":9.8,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605331","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 wind farm siting framework that integrates vegetation carbon sequestration objectives: A case study in Inner Mongolia, China","authors":"Ning Su ,&nbsp;Xiaobing Li ,&nbsp;Xin Lyu ,&nbsp;Dongliang Dang ,&nbsp;Siyu Liu ,&nbsp;Chenhao Zhang","doi":"10.1016/j.eiar.2025.108086","DOIUrl":"10.1016/j.eiar.2025.108086","url":null,"abstract":"<div><div>Compared with traditional fossil fuels, wind power, as a typical clean energy source, is capable of effectively reducing carbon emissions. However, recent studies have shown that wind farms (WFs) in some regions may suppress vegetation carbon sequestration (VCS), thereby reducing the regional carbon sink capacity and diminishing the associated life-cycle emission reduction benefits. Therefore, WF siting requires a trade-off between development potential and ecological impact to avoid negative consequences while promoting synergistic gains. This study presents a new WF siting framework that uses a random forest model to predict the impact of WF deployment on VCS, and integrates this analysis with a development potential map obtained from multi-criteria evaluation to generate a comprehensive siting map. Using the Inner Mongolia grassland region as a case study, we demonstrate the implementation of this framework. The results reveal that 9169.09 km² of grassland has been identified as priority development areas. These areas, which are located mainly in northeastern Xilingol and western Chifeng, not only possess high development potential but also significantly enhance VCS. The siting framework developed in this study achieves synergistic optimization of wind power development and VCS, which addresses the lack of ecological considerations in previous studies and provides new insights for further emission reductions through renewable energy, demonstrating broad application potential.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108086"},"PeriodicalIF":9.8,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596845","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":"Beyond one-size-fits-all: Differentiated green development assessment integrating a hybrid approach in China's Yangtze River Economic Belt","authors":"Linzi Li,&nbsp;Chenning Deng,&nbsp;Fang Zhu,&nbsp;Xiaocong Song,&nbsp;Erdan Wang,&nbsp;Minghui Xie","doi":"10.1016/j.eiar.2025.108076","DOIUrl":"10.1016/j.eiar.2025.108076","url":null,"abstract":"<div><div>Assessing green development is critical for global sustainability progress, yet existing approaches often use fixed indicators that overlook regional variations and complexities. To address this, we developed a context-specific indicator system integrated with interpretable machine learning (ML) models to balance adaptability and efficiency. Validated using 2016–2020 data from 130 Yangtze River Economic Belt cities. The results reveals notable improvements in the overall green development since 2016, with variations across city types. Random forest models exhibited high prediction accuracy (R² = 0.75–0.91, MSE = 1.91–5.77), with SHapley Additive exPlanations (SHAP) analysis highlighting rural income (|SHAP| = 1.65), tertiary industry ratio (|SHAP| = 1.48), grassland coverage (|SHAP| = 1.38), protection areas (|SHAP| = 0.81), and waste utilization (|SHAP| = 0.80) as pivotal drivers. The policy implications include inclusive development, innovation-driven industrial transformation, circular economy adoption, and ecological conservation. While temporal-spatial limitations exist, this study confirms ML's potential for complex sustainability assessment, offering decision-makers a data-driven toolkit to enhance regional intervention efficiency and effectiveness.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108076"},"PeriodicalIF":9.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596844","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}