Environmental Impact Assessment Review最新文献

{"title":"A multifaceted assessment and response framework for land use-based carbon metabolism: From Intra-City to Inter-City dynamics","authors":"Shiyi Wang,&nbsp;Yan Li,&nbsp;Xinhui Feng,&nbsp;Er Yu,&nbsp;Jiayu Yang","doi":"10.1016/j.eiar.2025.107861","DOIUrl":"10.1016/j.eiar.2025.107861","url":null,"abstract":"<div><div>Carbon metabolism, a fundamental process in regulating the Earth's climate, is profoundly influenced by land use changes and is essential for developing strategies to mitigate global warming. This study formulates a three-pronged theoretical framework for assessing and responding to land use-based carbon metabolism. To address the limitations of existing research confined by jurisdictional boundaries, this framework designs a dual-node carbon metabolism network based on land uses and cities, thereby transitioning the research paradigm from intra-city analysis to regional integration. This approach reveals the intertwined impacts of land use changes and inter-city interactions on carbon metabolism while offering insights into how urban ecological relationships shape regional carbon environments. Moreover, it expands the temporal span of carbon metabolism assessment, incorporating both the retrospective evaluation for 1995–2020 and simulations of carbon evolution across different nodes in 2030. Concentrating on the Hangzhou metropolitan area in China, the study indicates that carbon metabolism exhibits uneven patterns across various dimensions. For carbon exchange between terrestrial and atmospheric systems, carbon emissions reached 49.79 × 10⁸ t in 2020, while carbon sequestration was only 218.88 × 10⁴ t. For terrestrial carbon exchanges, carbon flows are more responsive to inter-city interactions than to land use changes. The dominant Control/Exploitation ecological relationship elucidates that the environmental benefits of land use changes and inter-city linkages have yet to be maximized. From a long-term perspective, intervening in and balancing inter-jurisdictional land use patterns during the transition of decarbonization is necessary. Through developing this practical and replicable framework, this study identifies pivotal strategies for low-carbon development at the city-regional scale, aiding in a deeper and multi-dimensional understanding of urban carbon assessment.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107861"},"PeriodicalIF":9.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387208","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":"Extreme precipitation, energy poverty and the moderating effects of digital inclusive finance: Evidence from China's householders","authors":"Yuanshuang Zhao ,&nbsp;Liang Dong ,&nbsp;Yuhang Sun ,&nbsp;Ning Zhang","doi":"10.1016/j.eiar.2025.107849","DOIUrl":"10.1016/j.eiar.2025.107849","url":null,"abstract":"<div><div>We present the first empirical study investigating the aggravation of household energy poverty due to extreme precipitation, utilizing household survey data in China spanning 2016 to 2020. Furthermore, we evaluate the moderating role of digital inclusive finance as a policy tool in mitigating this association. On days with extreme precipitation, compared to sunny days, households are 2 % more likely to experience energy poverty, with their energy consumption ratio rising by 0.44 %. Chinese households incur an additional 33 % in energy costs on days with extreme precipitation. After considering the households' adaptation to climate change, the conclusion remains robust. Additionally, we demonstrate seasonal effects, highlighting that unusually severe summer precipitation exerts the most significant impact. Socially disadvantaged groups are disproportionately vulnerable to energy poverty caused by extreme precipitation. For influence mechanisms, extreme precipitation exacerbates energy poverty by incrementing energy expenditure and decreasing household income. Families may cope with the effects of extreme precipitation by repairing their houses as a kind of defensive behaviour. Finally, we find that the development of digital inclusive finance significantly reduces households' probability of falling into energy poverty because of extreme precipitation. The moderating impact of digital inclusive finance is primarily influenced by the depth of development and the escalating level of digitization. Merely expanding the coverage of digital financial inclusion is insufficient to effectively exert its moderating impact. These findings are crucial for understanding the adverse effects of extreme precipitation on SDGs and the role of inclusive finance as a policy tool in poverty alleviation.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107849"},"PeriodicalIF":9.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378102","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":"Toward a low-carbon economy: Insights from low- carbon complexity index","authors":"Lulu Zhang ,&nbsp;Gang Diao ,&nbsp;Kairui You","doi":"10.1016/j.eiar.2025.107856","DOIUrl":"10.1016/j.eiar.2025.107856","url":null,"abstract":"<div><div>Low-carbon production capability is crucial for national low-carbon development. However, mainstream metrics used to assess national low-carbon development levels, such as carbon emission intensity, carbon productivity and composite environmental indices, fail to quantify this capability. These metrics offer limited utility in forecasting and directing low-carbon development. Therefore, using a sample of 43 countries from the EXIOBASE database, this study develops the low-carbon complexity index (LCCI) and analyzes its effectiveness in evaluating, predicting and guiding national low-carbon development. The results show that the LCCI value range has narrowed from [0.087, 2.031] in 1997 to [0.068, 1.891] in 2022. The LCCI rankings among the top 10 and bottom 10 countries have remained relatively stable over the past 20 years, revealing a carbon lock-in effect. Furthermore, low-carbon complexity significantly influences carbon emission intensity and its decline rate, demonstrating that the LCCI is an effective tool in depicting and forecasting national carbon emission performance. Countries with higher LCCI exhibit lower carbon emission intensity and tend to achieve greater reductions in carbon emission intensity. Based on the relatedness-complexity diagram, industrial support targets and investment prioritization to promote low-carbon transition can be identified.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107856"},"PeriodicalIF":9.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387207","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":"Exploring influencing factors of health resilience for urban buildings by integrated CHATGPT-empowered BERTopic model: A case study of Hong Kong","authors":"Tianlong Shan ,&nbsp;Fan Zhang ,&nbsp;Albert P.C. Chan ,&nbsp;Shiyao Zhu ,&nbsp;Kaijian Li ,&nbsp;Linyan Chen ,&nbsp;Yifan Wu","doi":"10.1016/j.eiar.2025.107852","DOIUrl":"10.1016/j.eiar.2025.107852","url":null,"abstract":"<div><div>Enhancing building health resilience (BHR) is a crucial pathway to mitigate people's health loss under natural or manmade disturbances. However, as BHR is quite a new concept, previous research lacks a comprehensive investigation and deep understanding of BHR influencing factors. Topic modeling method is innovative to extract topics from multi-source data, including literature, news, reports and other unstructured online data, which could fill the gap of lacking sufficient literatures and other sources support. This study aims to explore BHR influencing factors by integrating and literature review-based identification and topic modeling method. Due to ChatGPT's exceptional ability to extract information from unstructured text data, an integrated ChatGPT-empowered BERTopic (BERTGPT) model is proposed for multi-source exploration, exploring BHR influencing factors by twice ChatGPT empowerment in BERTopic, which can act as a supplementary of literature-based identification. Results show that BHR influencing factors comes from four dimensions: building attributes, building environment, building demographics, and human behavior. Furthermore, this model was validated by classification accuracy and summarization precision, demonstrating the model's effectiveness in extracting representative topics from multi-source unstructured data. This study integrated the factors identified from the literature and multi-source data, providing a clear direction for BHR enhancement. This study also develops a novel AI-enabled approach for exploring potential factors influencing BHR and other emerging concepts lacking sufficient literature support, utilizing multi-source unstructured data.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107852"},"PeriodicalIF":9.8,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351268","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":"Imperfect detection of terrestrial mammals in environmental impact assessment (EIA) baseline surveys may compromise decision-making and mitigation measures","authors":"Amanda M.S. Dias ,&nbsp;Carly Cook ,&nbsp;Adriano Pereira Paglia ,&nbsp;Rodrigo Lima Massara","doi":"10.1016/j.eiar.2025.107850","DOIUrl":"10.1016/j.eiar.2025.107850","url":null,"abstract":"<div><div>The Environmental Impact Assessment (EIA) is critical for managing human impacts on biodiversity. Reliable baseline data is essential to assess potential development effects, while inaccurate information about species presence or absence can lead to poor decisions. We examined how methodological choices, such as sampling methods (i.e., camera traps, census, indirect sign surveys, interviews with locals), affect species detection in baseline biodiversity surveys for EIA in mining projects and scientific inventories, focusing on the Iron Quadrangle region of Minas Gerais, Brazil. We employed occupancy models, which consider imperfect detections, to assess how study type and methodological attributes influence false-positive and true detections of medium to large-sized terrestrial mammals. Our analysis revealed that study type strongly predicted false positives, with a potential additive effect with sampling method. In EIA baseline surveys, sign surveys registered 2.1 % false positives, rising to 4.4 % for interviews, while scientific studies had nearly zero false positives. For true detections, we found an interaction between study type and sampling method, where species census, camera traps, and sign surveys were up to three times less likely to detect species in EIA surveys compared to scientific studies. This suggests that EIA characteristics may reduce correct species detection. Both false-positive and true detections may be influenced by the inadequate quality of EIA baseline surveys. This underscores the need to incorporate detection estimates into biodiversity surveys. If studies fail to account for detection probability they can lead to biased and misleading results, which in the case of baseline surveys, could result in unfounded decisions within the EIA process.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107850"},"PeriodicalIF":9.8,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351266","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":"Pricing eco-products using happiness data: The case of China","authors":"Bangzhu Zhu ,&nbsp;Xiaozhen Fan ,&nbsp;Ping Wang","doi":"10.1016/j.eiar.2025.107853","DOIUrl":"10.1016/j.eiar.2025.107853","url":null,"abstract":"<div><div>Linkages between eco-products and residents' happiness play a crucial role in global sustainable development. However, few studies have adopted happiness data to price eco-products and focused on the potential impact of eco-products on residents' happiness. In this paper, we match the 2010–2021 China General Social Survey (CGSS) microdata with interprovincial eco-product value and construct an eco-product pricing model based on the life satisfaction approach by measuring the marginal substitution effects of eco-product value and residents' incomes. The results of our study show that eco-product value realization significantly enhances the residents' happiness, which remains valid after a series of endogeneity and robustness tests. Eco-product value realization enhances residents' happiness by improving their perceptions of social fairness and promoting the development of green finance. Environmental regulation positively moderates eco-product value realization and residents' happiness. Based on the eco-product pricing model, the price of eco-products is ¥576.27, implying residents on average are willing to pay ¥576.27 for eco-products. The pricing results exhibit heterogeneity across various factors, including income, age, gender, education, marital status, number of children, workplace, and urban-rural differences. Specifically, residents with middle and high income, youth, male, high education, a high number of children, working in state-owned enterprises, and rural areas exhibit a higher willingness to pay for eco-products. Our study provides new insights into pricing the economic value of eco-products.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107853"},"PeriodicalIF":9.8,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351267","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":"Modelling impacts of infrastructure and climatic factors on reindeer forage availability in winter","authors":"Ilona Kater ,&nbsp;Robert Baxter","doi":"10.1016/j.eiar.2025.107857","DOIUrl":"10.1016/j.eiar.2025.107857","url":null,"abstract":"<div><div>The cumulative impacts of climate change and human activities on species are often studied in isolation, limiting understanding of their combined effects. The present research addresses this limitation by proposing a novel conceptual model to assess the cumulative impacts of various anthropogenic developments and environmental conditions on ungulates. The conceptual model is applied to semi-domesticated reindeer, specifically in the context of winter grazing in northern Fennoscandia, as this species is facing an increasing range and intensity of stressors detrimental to its health and survival.</div><div>The conceptual framework for the model is described, measuring forage loss due to physical, behavioural and climatic factors. Using data from previous studies, this framework is applied to assess loss of reindeer forage in winter pastures due to construction of roads, mines, hydropower stations and population centres. Results of this case study show that excluding behavioural impacts would lead to an 86 % underestimation of forage loss, while ignoring access limitations caused by snow conditions would result in an 11 % underestimation. Additionally, synergistic effects from multiple infrastructures impact 22 % of the area.</div><div>Although the model does not yet account for factors like habitat connectivity or inter-annual weather variability, it provides a multi-faceted framework for evaluating cumulative impacts, offering a more holistic approach than existing models. Its adaptability also allows for application to other regions, species, or land-use scenarios. These findings emphasise the necessity of considering cumulative impacts within environmental impact assessments used to inform sustainable land-use and conservation strategies.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107857"},"PeriodicalIF":9.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143241651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating environmental impact of rooftop photovoltaic from the perspective of thermal power transmission","authors":"Mei Shan ,&nbsp;Hongyu Zhang ,&nbsp;Yuan Wang ,&nbsp;Zhi Qiao ,&nbsp;Jian Zuo ,&nbsp;Yue Xu","doi":"10.1016/j.eiar.2025.107848","DOIUrl":"10.1016/j.eiar.2025.107848","url":null,"abstract":"<div><div>The development of rooftop PV (RPV) plays a significant role in addressing the dual challenges of environmental air pollution and climate change, as RPV-generated electricity is an important substitute of traditional coal-fired power and can promote energy transition. Besides, RPV power generation, due to its self-consumption nature by the users, will not only reduce the local supply of coal-fired power, but also reduce the coal-fired power transmitted from other regions, ultimately leading to the spatial spillover effect of RPV environmental impact. Therefore, this study aims to examine the inter-provincial transmission of RPV environmental mitigation potential and economic benefits in China. Based on the revised rooftop vector data, we estimate that RPV deployment in the built-up and densely populated eastern region will reduce the emission of 45–161, 0.01–0.03 and 0.01–0.03 million tons (MT) yr⁻¹ for carbon, SO₂ and NOx in the western China, representing up to 15 %, 14 %, and 11 % of the western provinces' emission from the power and heat sector in 2020, respectively. Correspondingly, the environmental benefits of emission reduction in eastern region show obvious spillover effect (16 %), which lead to additional net benefits of 667–996 billion yuan for the western provinces. Integrating the environmental benefits as a subsidy into power benefits reveals that this type of subsidy yields higher benefits than current policies. Therefore, we provide valuable insights into targeted RPV deployment, promoting environmental efficiency and economic benefits. This new perspective on the spatial spillover effects of renewable energy can also be applied to other countries.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107848"},"PeriodicalIF":9.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143241687","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":"Understanding fly-tipping in urban areas: A social-economic-spatial combinatorial approach enabled by geographically weighted random forest","authors":"Weisheng Lu,&nbsp;Bing Yang,&nbsp;Liang Yuan,&nbsp;Ziyu Peng","doi":"10.1016/j.eiar.2025.107858","DOIUrl":"10.1016/j.eiar.2025.107858","url":null,"abstract":"<div><div>This study addresses the ongoing challenge of illegal dumping (‘fly-tipping’) in urban environments, specifically focusing on Hong Kong. Utilizing a substantial dataset of 1384 Fixed Penalty Notices issued from 2014 to 2021, the research presents a novel methodological approach that integrates Space Syntax Analysis (SSA) and Geographically Weighted Random Forest (GW-RF). The integration demonstrates robust predictive performance (R² = 0.809), significantly outperforming traditional models. Our findings reveal three fundamental patterns: social-economic pressures serve as consistent underlying drivers, urban spatial configuration creates distinct opportunity patterns, and waste disposal infrastructure acts as a local modifier of dumping behavior. These insights challenge conventional assumptions about illegal dumping locations and effectiveness of uniform solutions. The study provides an evidence-based foundation for developing targeted interventions, suggesting that effective policies must consider both stable social-economic pressures and variable spatial-infrastructural conditions. This research not only deepens the understanding of fly-tipping in Hong Kong but also proposes a robust, adaptable analytical framework for other urban contexts, contributing to both urban theory and practice in environmental management.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107858"},"PeriodicalIF":9.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on carbon intensity of global seaborne metallurgical coal exports and implications","authors":"Liwei Qu ,&nbsp;Yang Li ,&nbsp;Juan Guo ,&nbsp;Lianghui Li ,&nbsp;Bochao An","doi":"10.1016/j.eiar.2025.107854","DOIUrl":"10.1016/j.eiar.2025.107854","url":null,"abstract":"<div><div>Despite escalating environmental regulations and intensifying decarbonization demand within the steel industry, comprehensive frameworks for emission disclosure remain under development. The sector is gradually incorporating requirements to report upstream emissions that are tied to raw material supply chains. This study presented a detailed carbon footprint assessment of seaborne metallurgical (met) coal trading by creating a global database of seaborne met coal export mines and optimizing both the trade matrix and mine-to-destination transportation network. Employing a bottom-up approach coupled with life cycle assessment (LCA) methodology, this study calculated carbon intensity (CI) of global seaborne met coal mines. The analysis reveals significant variability in CI, ranging from 63.4 to 665.5 kg CO₂eq/t, with a global volume-weighted average of 217.6 kg CO₂eq/t. The variability is influenced by factors including mine extraction methods, raw coal quality, transportation mode, and destination distance. The heterogeneity of CIs highlights substantial decarbonization potential. Forecasts of seaborne met coal demand through 2050 suggest that prioritizing low-carbon supply chain pathways alone could yield CO₂eq reduction by an average of up to 230Mt, even in the absence of additional emission mitigation strategies</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107854"},"PeriodicalIF":9.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143241686","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}