Environmental Impact Assessment Review最新文献

{"title":"Impact of cadmium risk communication on household cadmium reduction technology adoption: Evidence from a randomized controlled trial in China","authors":"Junjie Shao ,&nbsp;Lei Lei ,&nbsp;Li Zhou","doi":"10.1016/j.eiar.2025.107918","DOIUrl":"10.1016/j.eiar.2025.107918","url":null,"abstract":"<div><div>Heavy metal contamination is a significant threat to food safety and human health in China. A stratified randomized controlled trial was conducted in rice-growing areas in China to examine how different communication modes of soil cadmium contamination information affect smallholder household producers' adoption of cadmium reduction technology. The study finds that none of the three information intervention methods (manual, short message service, and combination) have significant effects on adopting cadmium reduction technology of smallholder households. Furthermore, the living environment of households is identified as a key threshold for effective information intervention. The manual intervention is more effective in promoting technology adoption of smallholder households living in cadmium risk areas. In addition, online social media and offline communication with village cadres can help strengthen the positive effects of three information intervention methods in cadmium risk areas. These findings suggest that low-cost information interventions are not always effective; the effectiveness of information interventions is affected by the living environment. Thus, low-cost information campaigns can help facilitate pollution control in cadmium risk areas.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107918"},"PeriodicalIF":9.8,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644695","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 flexible framework for species-based regional cumulative effects assessments to support offshore wind energy planning and management","authors":"Megan C. Ferguson ,&nbsp;Kathryn A. Williams ,&nbsp;M. Wing Goodale ,&nbsp;Evan M. Adams ,&nbsp;Paul Knaga ,&nbsp;Katrien Kingdon ,&nbsp;Stephanie Avery-Gomm","doi":"10.1016/j.eiar.2025.107912","DOIUrl":"10.1016/j.eiar.2025.107912","url":null,"abstract":"<div><div>Offshore wind energy development (OWED) is pivotal for renewable energy transition and climate resiliency. However, OWED activities may negatively affect wildlife, contributing to cumulative effects (CE) from human activities and natural processes. Cumulative effects assessments (CEAs) are vital for informed planning and management of OWED activities during regional assessment, site selection, and site evaluation phases. To reduce impacts on wildlife, OWEDs should be sited in areas that avoid or minimize CE. We present a flexible, species-based framework to assess CE from OWED activities and other pressures, supporting decision-making in early planning phases. The framework uses a species-based approach, applicable to various wildlife receptors (i.e., species or populations), and adapts to available information on ecology, socioeconomics, and pressures. The analytical strategy uses a CE metric to indicate the presence or magnitude of effects from all pressures on receptors. Spatially explicit optimization methods identify OWED site configurations that minimize a CE metric. The framework accommodates alternative pressure scenarios that include foreseeable future human activities and natural processes and can explore the sensitivity of the results to uncertain parameters. Given sufficient spatial information on receptor density, pressure magnitude, and cause-effect pathways, the spatial optimization algorithm can find solutions that minimize species- or population-level impacts from CE. If this ideal standard cannot be achieved due to information gaps, alternative metrics may be used to inform the immediate decision-making process. This framework offers a practical approach for balancing renewable energy goals with wildlife conservation, even when information is incomplete.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107912"},"PeriodicalIF":9.8,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644697","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":"Visual comfort impact assessment for walking spaces of urban historic district in China based on semantic segmentation algorithm","authors":"Xiaoming Gao ,&nbsp;Hang Wang ,&nbsp;Jilong Zhao ,&nbsp;Yuetao Wang ,&nbsp;Chaoxian Li ,&nbsp;Cong Gong","doi":"10.1016/j.eiar.2025.107917","DOIUrl":"10.1016/j.eiar.2025.107917","url":null,"abstract":"<div><div>Urban historic districts (UHDs) are primarily walkable areas in built environments that preserve the traditional and local characteristics of a specific historical period. However, the impacts of the visual perception elements (VPEs) in UHD walking spaces on visual comfort related to the health-benefits have not been studied in depth. In contrast to previous studies, this study develops a comprehensive methodology framework for assessing visual comfort of UHD walking spaces to provide evidence for health-benefits based on Semantic Segmentation (Semseg) algorithm, integrating street view image data mining, Semseg computing, K-means cluster analysis, visual perception analysis and multiple linear regression analysis. A total of 11,633 images from Baidu Maps-Panoramic Static Imagery (BM-PSI) API were collected from 17 typical UHD walking spaces in China, forming 17 datasets of visual sequence images (VSIs). Three types of VPEs (Natural-VPE, Artificial-VPE and Cultural-VPE) were identified and quantified by Semseg Computing to calculate Visual Pixel Ratio (VPR) indicators. 15 representative VSIs were filtered by K-means cluster analysis, which were subsequently evaluated through web-based questionnaires involving 308 respondents with diverse demographic characteristics to derive General Visual Comfort Ratings (G-VCR) and Sub-Visual Comfort Ratings (S-VCR) indicators. Finally, multiple linear regression analysis was conducted to reveal the relationships between VPR and both G-VCR and S-VCR indicators respectively. Overall, the results reveal that Natural-VPE and Cultural-VPE have a significant positive impact on visual comfort, while Artificial-VPE exerts a opposite effect. Furthermore, demographic characteristics affect visual comfort differently: female respondents showed stronger preference for Natural-VPE, while male respondents were more sensitive to Artificial-VPE; middle-aged and elderly respondents favored environments with more Natural-VPE and Cultural-VPE, whereas young respondents were more affected by Artificial-VPE; higher-educated respondents exhibited greater appreciation for Natural-VPE and Cultural-VPE compared to non-higher educated respondents. The findings can provide valuable insights for promoting sustainable renewal of UHD walking spaces aligned with the <em>Healthy City</em> concept.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107917"},"PeriodicalIF":9.8,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620369","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":"Impact assessment of green finance reforms on renewable energy development","authors":"Yitong Zhu ,&nbsp;Boqiang Lin ,&nbsp;Runqing Zhu","doi":"10.1016/j.eiar.2025.107913","DOIUrl":"10.1016/j.eiar.2025.107913","url":null,"abstract":"<div><div>Amidst the formidable challenges posed by global climate change, the demand for energy transition is becoming more prominent. Assessing the impact of green finance policies not only contributes to the enhancement of financing channels for renewable energy, but also represents a vital stride in propelling global sustainable economic and social advancement. Drawing on data from Chinese renewable energy listed firms spanning 2010–2022, this research takes China's 2017 Green Finance Reform and Innovation Pilot (GFP) policy as a quasi - natural experiment. It utilizes a multi - period DID model to assess how the GFP policy affects the total factor productivity (TFP) of renewable energy enterprises. The research indicates that: (1) The GFP policy effectively boosts the TFP of renewable energy enterprises within the pilot zones, with the results remaining robust after a series of sensitivity tests. (2) Mechanism analysis reveals that the GFP policy mainly improves TFP through alleviating the financing constraints and enhancing their green innovation capabilities. (3) Heterogeneity tests show that, due to the limitations of regional resource endowments, the impact of the GFP policy in eastern and western China is significant, but not as expected in central regions. The research provides policy recommendations to foster the development of green finance and promote the growth of renewable energy for the advancement of scientific development.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107913"},"PeriodicalIF":9.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611197","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":"Food security changes in Central Asia during 1992–2019 and potential assessment in different scenarios based on self-sufficiency","authors":"Yongxun Zhang ,&nbsp;Tanglu Li ,&nbsp;Qiyuan Hu ,&nbsp;Lulu He ,&nbsp;Xiande Li","doi":"10.1016/j.eiar.2025.107900","DOIUrl":"10.1016/j.eiar.2025.107900","url":null,"abstract":"<div><div>The global food security continued to deteriorate in recent years due to frequent international events interrupting trade. To rise food self-sufficiency has been regarded widely. Central Asia (CA) as a region with rich land per capita has a certain food production potential to achieve self-sufficiency and promote global food security. However, few studies examine food self-sufficiency ability changes and potential in this area. From the perspective of food self-sufficiency, this study adopted the land carrying capacity (LCC) assessment methods to analyze food security changes in CA and countries in it from 1992 to 2019 and to evaluate the food security level under multiple scenarios covering different agricultural productivity levels and food and nutrition consumption levels based on the FAOSTAT database. The results show that CA, Kazakhstan (KAZ), Kyrgyzstan (KGZ), Turkmenistan (TKM), and Uzbekistan (UZB) realized food self-sufficiency except Tajikistan (TJK). During this period, food self-sufficiency ability of CA and KAZ rapidly declined first and then increased with fluctuation; KGZ and TJK showed a similar rising trend but experienced two big fluctuations; TKM has a similar changing trend to UZB, but the latter's fluctuation range was smaller than the former's. In terms of the LCC pressure index (LCCPI), CA and the five countries were generally above the level of “affluence” from 1992 to 2019 except TJK that 43 % years was below the level of “slack balance”. For CA, the main limiting factor is energy insufficiency before 2009 but fat insufficiency since that year. At the country level, the limiting factor is the fat for KAZ, the energy for TKM and UZB, and the energy in most years and the fat in the last several years for KGZ and TJK. Agricultural productivity and structure changes directly influenced the LCC changes of CA countries, but political factors were the underlying cause for the change. Scenario analyses show that CA countries will face challenges from food insecurity with food nutrition consumption upgrading. But, these challenges can be addressed by improving agricultural productivity and adjusting agricultural structure except KGZ and TJK with limited land resources. This study presents reinforcing international cooperation (joint development of land and water resources, agricultural technology exchanges, intra-regional trades, etc.) and exploring reasonable crop planting structure and sustainable consumption patterns are necessary for improving food sufficiency ability in CA.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107900"},"PeriodicalIF":9.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611156","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 policy support for efficiency improvement of wind power from an environmental perspective: Evidence from wind farms in Qinghai, China","authors":"Li-Qiu Liu ,&nbsp;Yu-Yan Qin ,&nbsp;Xian-Peng Chen ,&nbsp;Xiang-Cheng Zhang ,&nbsp;Zhen-Yu She ,&nbsp;Bai-Chen Xie","doi":"10.1016/j.eiar.2025.107898","DOIUrl":"10.1016/j.eiar.2025.107898","url":null,"abstract":"<div><div>Intermittent renewable energy is characterized by a high degree of randomness and unpredictability with environmental fluctuations. As support policy in China shifted from the feed-in tariff subsidy (FIT) to the renewable portfolio standard (RPS) and the renewable energy credit (REC), environmental heterogeneity has led to complexity and uncertainty in policy implementation. Employing a stochastic data envelopment analysis (DEA) based on a non-radial directional distance function, this paper evaluates the generation efficiency of 47 wind farms in Qinghai Province from 2019 to 2021, to explore the effectiveness of policy support from an environmental perspective. Subsequently, we calculate the dynamic power generation efficiency by the Malmquist productivity index (MPI) method, which is further decomposed into efficiency change (EC) and technological progress (TP). System generalized moment estimation (SGMM) is then used to analyze the influencing factors of wind farm generation efficiency. The results show that during the study period, the generation efficiency initially experienced a decrease followed by an increase, with an overall upward trend. The generation efficiency reaches a trough during the peak electricity consumption period in summer and winter every year. Dynamic generation efficiency is generally on the rise, and its variations mainly come from TP, with a minimal catch-up effect observed. There is a significant negative correlation between FIT policy and generation efficiency, and the influence of REC is limited. In addition, per capita GDP, wind speed variations, temperature variations, and UHV delivery projects all affect wind farm power generation performance.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107898"},"PeriodicalIF":9.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611157","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 and economic life cycle sustainability assessment of reusable versus single-use anaesthetic face masks","authors":"Christina Webb ,&nbsp;Lorna Anguilano ,&nbsp;Gera Troisi ,&nbsp;Ximena Schmidt Rivera","doi":"10.1016/j.eiar.2025.107847","DOIUrl":"10.1016/j.eiar.2025.107847","url":null,"abstract":"<div><div>In the United Kingdom, healthcare products and services contribute 62 % of the National Health Service's greenhouse gas emissions. One proposal to reduce this impact is by replacing single-use devices (SUDs) with reusable devices. This study employs life cycle assessment (LCA) and life cycle costing (LCC) methodologies to assess the environmental and economic sustainability of a reusable anaesthetic mask made primarily of Polychloroprene and Polyisoprene; and two single-use masks one made of polyvinyl chloride (PVC) and one of thermoplastic elastomer and polypropylene (TPE + PP). The reusable mask is shown to be cheaper and have lower environmental impact compared to the PVC single-use mask for nine of the 11 impact categories, including GWP, but has lower environmental impact than the TPE + PP single-use mask for only three categories (HTP, MAETP, and FAETP). The major contributor of the reusable mask's impact is the reprocessing stage, which represents over 70 % of all impact categories. The LCC showed PVC single mask to have the greatest cost (£5.89) compared to TPE + PP mask (£4.99) and the reusable mask (£4.44). Sensitivity and scenario analyses showed that the number of reprocessing cycles greatly influences the sustainability of the reusable mask when the number of reuses was less than 14 and that the energy consumption of the reprocessing machinery had a noticeable influence on the reusable mask's overall environmental impact. In conclusion, to make reusable masks a favourable option, manufacturers and health providers need to optimise the energy and packaging used in the reprocessing stage, together with ensuring that reusing practices i.e. minimum of cycles, are identified and communicated.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107847"},"PeriodicalIF":9.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611158","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 living lab learning framework rooted in learning theories","authors":"Astha Bhatta ,&nbsp;Heleen Vreugdenhil ,&nbsp;Jill Slinger","doi":"10.1016/j.eiar.2025.107894","DOIUrl":"10.1016/j.eiar.2025.107894","url":null,"abstract":"<div><div>Complex issues like sustainable land and water management demand a transdisciplinary and collaborative approach, such as that of living labs, bridging between science, policy, and society. Living labs facilitate active collaboration among diverse actors from public and private sectors, research institutes, and civil society, creating an environment that fosters innovations to address environmental challenges. However, the impact of these labs is often assessed based only on their immediate results, overlooking the potential effects of learning during co-creation activities. Thus, this paper develops a framework that allows to capture learning in a living lab co-creative environment. In response to widespread calls for an epistemological basis for living labs, the study bases the framework on relevant learning theories. First, the literature dealing with learning theories relevant to the characteristics of living labs is reviewed. The relevant theories are identified as: behaviorism, cognitivism, constructivism, experimental, situated, social, organizational, transformative, and connectivism. Next, the insights on learning theories are used in developing a <em>Living Lab Learning Framework</em> with three interacting components: A. Learning types (<em>what</em>), B. Learning process (<em>how</em>), and C. Learning levels (<em>who</em>), contributing to learning outcomes. The framework distinguishes content, capacity, and network as learning types; intentional or incidental as learning processes; and individual, team, and organization as learning levels. Finally, the potential application of the framework during the initiation, implementation, and evaluation project phases of living labs is highlighted. The framework is envisaged to extend the impacts of living labs beyond immediate results by providing a systematic method for assessing learning and its outcomes and generating insights regarding future improvements in the configuration of living lab learning environments.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107894"},"PeriodicalIF":9.8,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600476","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":"Cost and environmental impacts assessment of electric vehicles and power systems synergy: The role of vehicle-to-grid technology","authors":"Shao-Chao Ma ,&nbsp;Ying Fan ,&nbsp;Xing Yao ,&nbsp;Hong Fang ,&nbsp;Chao Xu","doi":"10.1016/j.eiar.2025.107899","DOIUrl":"10.1016/j.eiar.2025.107899","url":null,"abstract":"<div><div>In recent years, both electric vehicles and renewable energy have experienced unexpected and rapid development globally, which provides opportunities for cross-sectoral synergy through Vehicle-to-Grid(V2G) technology during the ongoing carbon-neutral transitions. To reveal the long-term cost and environmental impacts of V2G, a novel power system planning model is established by co-optimizing the power system investment and operational decisions with V2G. Two V2G modes are discussed in this study: 1) the unidirectional V2G functions as a flexible load; and 2) the bidirectional V2G serves as an alternative energy storage option. The case study in China demonstrates that V2G can effectively mitigate the transition cost in the power system and bring about considerable environmental benefits. The transition cost of the power system will decrease by 2.0 % ∼ 3.8 % and the annualized carbon emissions will be reduced by 8.7–26.9 million tons due to V2G integrations during the period of 2021–2060. The cost and environmental impacts mainly arise from altering the generation and capacity mix of the power system. It is found that V2G can improve the utilization rate of existing units, thereby reducing the required capacity of coal-fired power units. Also, V2G can enhance the system flexibility which is most beneficial to solar power integration. To fully realize the intended benefits of V2G, policy guidance holds a pivotal role. Policy recommendations aimed at guiding the V2G practice and enhancing its environmental benefits are offered based on the findings of this study.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107899"},"PeriodicalIF":9.8,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593779","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":"Reducing carbon emission at the corporate level: Does artificial intelligence matter?","authors":"Yanchao Feng ,&nbsp;Yitong Yan ,&nbsp;Ke Shi ,&nbsp;Zhenhua Zhang","doi":"10.1016/j.eiar.2025.107911","DOIUrl":"10.1016/j.eiar.2025.107911","url":null,"abstract":"<div><div>As one of the primary objectives of energy transition, carbon emission (CE) reduction is directly related to the preservation of the ecological system as well as the welfare of humanity. However, most countries still face the dilemma of insufficient driving force for technological innovation and environmental inefficiency, resulting in the failure to achieve the emission reduction target as expected. Artificial Intelligence (AI), as a catalyst to promote a fresh cycle involving advances in technology along with industrial revolution, provides novel solutions for CE reduction and attracts the attention of many scholars. However, the impact of AI adoption on enterprise carbon emissions (CEs) has not been fully studied. This study addresses the existing research void by investigating the correlation between AI adoption and CEs of Chinese A-share listed companies from 2009 to 2021. Using panel fixed-effects regression analysis, it is found that AI adoption has a significant negative impact on CEs, a finding which stays robust after controlling for potential endogeneity issues. Heterogeneity analyses indicate that AI adoption has a more significant CE suppression effect in non-polluting, non-high-tech, and capital-intensive industries. In addition, AI adoption is more effective in suppressing CEs in regions with non-state-owned firms or strict environmental regulations. Mechanism analysis reveal that the increase in CEs is attributed to the increase in R&amp;D expenditures and inputs due to scale expansion and the rebound effect due to efficiency improvement. The decrease in CEs, on the other hand, is attributed to the improvement in managerial and financial capabilities and the facilitation of information sharing.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107911"},"PeriodicalIF":9.8,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593780","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}