Environmental Impact Assessment Review最新文献

{"title":"China's green leadership in international aviation: Spatial patterns, influence factors and future trends of carbon emission under the Belt and Road Initiative","authors":"Rundong Feng ,&nbsp;Yufei Huang ,&nbsp;Fuyuan Wang ,&nbsp;Kaiyong Wang ,&nbsp;Shenghe Liu ,&nbsp;Heather Ho ,&nbsp;Hubin Wei ,&nbsp;Weidong Liu","doi":"10.1016/j.eiar.2025.108206","DOIUrl":"10.1016/j.eiar.2025.108206","url":null,"abstract":"<div><div>Globalization and international cooperation have significantly increased aviation demand and its associated carbon emissions, particularly within the Belt and Road Initiative (BRI), which involves over 150 countries. However, limited attention has been given to assessing the impacts and future projections of the BRI on aviation emissions. This study integrated multisource big data, Geodetector, and cross-classified multilevel modeling to quantify the interaction effects of the BRI and natural–anthropogenic factors on China's international aviation carbon emissions in 2019, and to predicted patterns and trends for 2030. Results showed that total aviation carbon emissions reached 16.36 Mt. in 2019, with emissions mainly concentrated in Southeast Asia, East Asia, and Western Europe. Furthermore, BRI-related trade volume and infrastructure investment, interaction with GDP, population, and airport construction explained 87 % of aviation carbon emissions. Projections indicated that total emissions will increase by 35.8 % from 2019 to 2030 under the BRI, while emissions per unit of GDP and per capita emissions are expected to decline by 68.1 % and 56.6 %, respectively, with Gini indices decreasing by 21 % and 36 %. BRI countries should establish more active green and low-carbon aviation co-operations and optimize flight routes to promote low-carbon development for the 2030 Agenda for Sustainable Development.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108206"},"PeriodicalIF":11.2,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217030","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 clustering of WEF-environment Nexus indicators for irrigation water operational performance: A feature-driven approach","authors":"Dorsa Rahparast ,&nbsp;Seied Mehdy Hashemy Shahdany ,&nbsp;Abbas Roozbahani","doi":"10.1016/j.eiar.2025.108205","DOIUrl":"10.1016/j.eiar.2025.108205","url":null,"abstract":"<div><div>The technical assessment of surface water distribution among water-right holders within an irrigation district under conditions of water supply stress did not yield a comprehensive operational appraisal. The Water–Energy–Food (WEF)–Environment nexus-assessment approach offers a holistic and pragmatic evaluation by incorporating technical assessment alongside considerations of energy and environmental trade-offs. This study presents an innovative clustering-based WEF-Environment spatial assessment methodology that combines hydraulic simulation and data-driven feature selection. An integrated hydraulic-operation model was developed to simulate daily operations under stressed scenarios. From this, nine key indicators were generated—such as Surface Water Delivery (SWD), Energy Consumption (EC), Carbon Emissions (CE), and Energy Productivity (EP). To enhance clustering accuracy, a cross-validated feature selection approach was applied, ranking indicators according to their contribution to clustering quality. The proposed methodology is implemented in Nekouabad Irrigation District, Iran, and the Nexus-based clustering and GIS-based spatial mapping were conducted using the selected features. Cross-validation across operational scenarios confirms the robustness of the feature-driven approach. SWD, CE, and Surface Water-Based Cultivated Area (SWCR) are key indicators that identify performance patterns. Under high stress, low-performing areas grew to cover over 90 % of the district. Environmental costs rose accordingly; in some zones, SWD dropped below 35 %, while carbon emissions exceeded 100,000 kg CO₂, indicating unsustainable operational trade-offs. Only a small portion of the district maintained balanced performance across delivery, efficiency, and emissions metrics. The study demonstrates that integrating feature selection with spatial clustering can identify priority areas for intervention, improve nexus assessments, and provide actionable insights for water managers.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108205"},"PeriodicalIF":11.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217118","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":"Strategic assessment in clean energy transition: Export diversification's impact on renewable energy capacity utilization","authors":"Boqiang Lin ,&nbsp;Yanhua Li","doi":"10.1016/j.eiar.2025.108207","DOIUrl":"10.1016/j.eiar.2025.108207","url":null,"abstract":"<div><div>The development of renewable energy is critical for advancing the global clean energy transition and addressing climate change. Using data from renewable energy export firms in China between 2007 and 2016, this paper assesses the effect of export diversity on capacity utilization. The research shows that: (1) Export diversification exerts a significant positive impact on renewable energy enterprises' capacity utilization. Even when considering the negative feedback from increased investment, the positive effect remains dominant. (2) Mechanism analysis reveals that improving total factor productivity and expanding export scales are key pathways to boost capacity utilization. (3) Furthermore, the rise in capacity utilization benefits more from export diversification within private enterprises and those engaged in processing trade. Additionally, we also compared the relative effectiveness of different types of export diversification strategies across renewable energy sectors: product diversification is more significant for photovoltaic and wind power industries, while market diversification plays a larger role in the hydropower industry. These findings highlight the role of international trade in facilitating cross-border energy resource reallocation, and offer strategic insights for governments to formulate targeted export strategies that support the clean energy transition.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108207"},"PeriodicalIF":11.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217029","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":"Decoding CO₂ futures in representative Green Belt and road countries: Evidence from China, India, and Russia","authors":"Yuqiong Long ,&nbsp;Nanxizi Chen ,&nbsp;Lulu Zuo ,&nbsp;Chen Yang ,&nbsp;Beijia Huang ,&nbsp;Guanhan Zhao","doi":"10.1016/j.eiar.2025.108201","DOIUrl":"10.1016/j.eiar.2025.108201","url":null,"abstract":"<div><div>Rising global temperatures pose a critical challenge for Belt and Road Initiative (BRI) nations, which must sustain economic growth while transitioning to low-carbon development. However, existing models often oversimplify emissions dynamics and their key drivers. The study developed a Bagging GA-BiLSTM framework and evaluated its performance against three machine learning models (LSTM, Extreme Gradient Boosting, Random Forest) and a conventional STIRPAT-OLS model, enabling high-precision projection of sectoral emissions across multiple scenarios (SSP1, SSP2, SSP3) and variables for China, India, and Russia from 2023 to 2060. The Logarithmic Mean Divisia Index (LMDI) method was employed to assess the contribution of driving factors and decoupling patterns. The Bagging GA-BiLSTM achieves higher R² and lower mean squared errors than other models. Under SSP1, China's emissions peak at 12.81 ± 2 Gt in 2027 and decline to <span><math><mn>2.87</mn><mo>±</mo><mn>0.4</mn></math></span> Gt by 2060. Under SSP2 and SSP3, carbon peak emissions are delayed to 2029. India's emissions are projected to peak between 2050 and 2051, with substantial scenario-based variability. Russia exhibits a contraction-recovery-rebound trajectory, with emissions peaking at <span><math><mn>2.38</mn><mo>±</mo><mn>0.3</mn></math></span>Gt in 2058 under SSP1. LMDI decomposition reveals that carbon emission changes in China and India are primarily driven by industrial structure and energy intensity, reflecting the characteristics of rapidly developing economies. In contrast, Russia exhibits a post-industrial emission pattern dominated by economic and urbanization factors. These findings quantitatively reinforce existing policy pathways, proving that differentiated strategies-such as infrastructure investment in low-income countries, efficiency improvements in middle-income economies, and institutional reforms in resource-rich nations-remain essential for effective low-carbon transitions across the BRI. This study provides updated and detailed scenario-based evidence that strengthens and deepens the foundation for these established strategies.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108201"},"PeriodicalIF":11.2,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217117","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":"An integrated framework combining deep learning and multicriteria decision-making for SDG-oriented urban low-carbon transition capacity assessment","authors":"Wentao Wang ,&nbsp;Dezhi Li ,&nbsp;Keyan Liu ,&nbsp;Yongheng Zhao ,&nbsp;Huan Zhou ,&nbsp;Shenghua Zhou","doi":"10.1016/j.eiar.2025.108194","DOIUrl":"10.1016/j.eiar.2025.108194","url":null,"abstract":"<div><div>The Sustainable Development Goals (SDGs) play a critical role in guiding the assessment of Urban Low-Carbon Transition Capacity (ULCTC). However, existing research on ULCTC assessment often overlooks the synergies with the SDGs, as well as spatial-temporal effects and causal relationships among multiple factors within the assessment process. To address these gaps, this study develops an SDG-oriented ULCTC assessment framework and proposes an integrated assessment method that combines deep learning (DL) and multi-criteria decision-making (MCDM) to explicitly incorporate complex attributes into the assessment. Using prefecture-level cities in China as a case study, the results reveal that: (1) the proposed DL model, integrating GCN and LSTM, achieves superior performance in capturing spatial-temporal effects compared to other models; (2) the MCDM approach distinguishes between “cause” and “effect” indicators, and prevents biased assessment outcomes where strong performance in one dimension conceals weaknesses in others, or vice versa; and (3) spatially, ULCTC exhibits strong clustering in regions such as the Beijing-Tianjin-Hebei area, the Yangtze River Delta, and the Pearl River Delta, while temporally, ULCTC shows a steady upward trend, with provincial capitals experiencing the most significant improvements. This study establishes a theoretical bridge between ULCTC and the SDGs, redefines the role of DL in ULCTC assessment, and develops an approach that captures spatio-temporal attributes and causal relationships while balancing synergies and trade-offs, which not only enhances methodological robustness but also generates actionable insights for differentiated policy design, ensuring that low-carbon transition pathways avoid the risks of misjudging short- and long-term priorities or undermining SDG coherence.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108194"},"PeriodicalIF":11.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217116","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":"System dynamics modeling of social sustainability in circular construction transitions: Causal loop analysis of stakeholder engagement mechanisms from selected developing countries' perspective","authors":"Nadar Khan,&nbsp;Khurram Iqbal Ahmad Khan,&nbsp;Hilal Khan","doi":"10.1016/j.eiar.2025.108197","DOIUrl":"10.1016/j.eiar.2025.108197","url":null,"abstract":"<div><div>The construction industry's transition toward circular economy principles in developing countries faces significant implementation challenges, with existing research predominantly focusing on technical and economic dimensions while critically neglecting social impact mechanisms and community-level consequences that determine long-term sustainability outcomes. This study developed a comprehensive system dynamics framework to analyze complex interdependencies between circular construction practices and social outcomes in developing country contexts, employing mixed-methods methodology integrating systematic literature review, expert surveys (<em>N</em> = 134), and dynamic modeling to examine causal relationships governing community well-being, employment generation, and social equity. Through factor prioritization analysis of 61 expert responses and statistical examination of 210 cause-effect relationships, the research identified 20 statistically significant causal connections (mean values 4.0–5.0) and developed validated system dynamics models comprising four reinforcing loops and two balancing loops. Key findings revealed Local Employment as the highest-ranked social factor (normalized score 0.0582), demonstrated accelerating Community Education patterns indicating compounding returns, and established that developing countries exhibit greater dependence on government responsiveness versus market-driven mechanisms documented in European contexts. This research provides essential theoretical foundations for socially inclusive circular construction implementation strategies while offering validated system dynamics methodology for analyzing complex social-technical transitions in resource-constrained environments.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108197"},"PeriodicalIF":11.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217115","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 monitoring systems: Exploring the link between urban planning and environmental assessment","authors":"Ana Maria Pacetti ,&nbsp;Tomás B. Ramos ,&nbsp;Sara Moreno Pires ,&nbsp;Alexandra Polido","doi":"10.1016/j.eiar.2025.108195","DOIUrl":"10.1016/j.eiar.2025.108195","url":null,"abstract":"<div><div>The role of Strategic Environmental Assessment (SEA) in urban planning is becoming increasingly significant, as this tool can be valuable for promoting sustainability in cities, which are increasingly vulnerable to environmental and socio-economic impacts, such as climate change and biodiversity loss. Nevertheless, the practice of monitoring SEA processes and their respective plans remains underdeveloped, and it is primarily focused on narrow thematic approaches or on theoretical frameworks, lacking comprehensive data from real cases. Research that integrates and compares various environmental monitoring instruments across different assessments and plans is limited, with most studies focusing on thematic monitoring of individual SEAs or single plans. This research aims to analyze the relationship between spatial planning monitoring instruments and environmental assessment instruments, with a particular focus on how SEA processes may influence the design and content of spatial monitoring frameworks. Through a comparative analysis of 12 Portuguese municipalities using an analytical framework and content analysis of SEA and spatial planning monitoring reports, the study reveals that monitoring frequency is low, particularly for SEAs, where the practice is almost non-existent. The findings also indicate that the monitoring programs outlined in SEA Environmental Statements directly influence the development of one of the spatial planning monitoring instruments, the Report on State of Spatial Planning, highlighting opportunities to improve integration across environmental management tools. Additionally, this study emphasizes the need for further empirical research to deepen the understanding of challenges in monitoring SEAs within urban planning as in Municipal Master Plan frameworks.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108195"},"PeriodicalIF":11.2,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217114","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":"Assessing the impact of population urbanization on urban resilience: Empirical evidence from rapidly urbanizing China","authors":"Shan Han ,&nbsp;Wei Wu ,&nbsp;Tongtong Shang ,&nbsp;Pan Wu ,&nbsp;Bin Yu","doi":"10.1016/j.eiar.2025.108189","DOIUrl":"10.1016/j.eiar.2025.108189","url":null,"abstract":"<div><div>The accelerated process of population urbanization (PU) highlights the critical need to assess its correlation with urban resilience for contemporary resilient city building. Yet, limited research has systematically examined this relationship. Existing studies often overemphasize the disaster risks linked to PU while overlooking its potential positive contributions to urban resilience. We pioneeringly integrate both PU and urban resilience into the urban sustainable development research system, contributing to provide insights for the current resilient city building by comprehensively considering the development opportunities and disaster risks associated with PU. By extending the two-way FE and the SDM using panel data from 280 Chinese key cities (2011−2022), we empirically examine its direct impacts, spatio-temporal heterogeneity and spatial spillover effects. Results demonstrate that: (1) PU enhances urban resilience, primarily through economic agglomeration and technological innovation, and synergies between the two mechanisms. (2) PU positively influences urban economic and engineering subsystem resilience but moderately reduces urban social and ecological subsystem resilience. (3) The marginal effect of PU on overall and subsystem resilience increases progressively over time. (4) The influence of PU on urban and subsystem resilience is greater in relatively underdeveloped regions. (5) PU exhibits' positive spatial spillover impacts on surrounding cities' resilience within a 300 km radius.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108189"},"PeriodicalIF":11.2,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217113","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":"Extraterritorial political representation in environmental planning: Patterns and practices under the UNECE Espoo Convention on Environmental Impact Assessment in a Transboundary Context","authors":"Matthew Cashmore ,&nbsp;Dmytro Skrylnikov","doi":"10.1016/j.eiar.2025.108186","DOIUrl":"10.1016/j.eiar.2025.108186","url":null,"abstract":"<div><div>The UNECE (United Nations Economic Commission for Europe) Espoo Convention on Environmental Impact Assessment in a Transboundary Context is significant in the context of environmental governance because it was one of the first multilateral environmental agreements to formalise extraterritorial actors’ involvement in the environmental planning of sovereign nation states. In this article, we examine patterns and practices of extraterritorial political representation under the Espoo Convention and consider its strengths and limitations in extending representation beyond national borders. The analysis draws upon data contained in publicly available national reports submitted by Parties to the Convention under compliance procedures. The data covers the latest two compliance reporting periods: 2016–2018 and 2019–2021. We assert that the available data indicate that the Espoo Convention has provided relatively modest – in terms of number and extent – opportunities for extraterritorial political representation amongst Parties to the Convention, but its contribution to regional and international environmental governance is considered important, nonetheless. A number of weak or potentially problematic practices are identified, including concerning the requirement for early notification, limited public involvement in decisions on the response to a notification, and limited use of Article 7 on post-project analysis. A particular area of controversy concerns the lack of specifications for a linguistic and translation regime; inconsistent practices herein potentially restrict equivalence in opportunities for involvement between domestic and supranational actors, a fundamental goal of the Espoo Convention. We conclude by outlining three themes for future research covering implementation practices, environmental justice, and the substantive outcomes of the Convention.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108186"},"PeriodicalIF":11.2,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155232","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":"Developing a decision support system for regulating urban runoff by centralized blue-green infrastructure","authors":"Enguang Li ,&nbsp;Xin Fu ,&nbsp;Jihua Song ,&nbsp;Longhao Jing ,&nbsp;Bei Zhang ,&nbsp;Xinhao Wang","doi":"10.1016/j.eiar.2025.108190","DOIUrl":"10.1016/j.eiar.2025.108190","url":null,"abstract":"<div><div>The expansion of impervious surfaces and climate change have weakened urban drainage systems (UDSs), resulting in frequent urban waterlogging. Compared to decentralized green infrastructure, centralized blue-green infrastructure (CBGI) offers greater storage capacity and better adaptability to future uncertainties. However, the integration of CBGI with gray infrastructure for intelligent runoff assignment and enhanced UDS resilience remains underexplored. This study develops a Smart Stormwater Management ApplicaTion for CBGI (SSMAT-CBGI) to support dynamical and adaptive runoff assignment and storage management for CBGI. By integrating spatial analysis, SWMM, and the NSGA-II algorithm, SSMAT-CBGI can simulate and evaluate different runoff assignment strategies in real time, respond rapidly to rainfall events, and automatically identify optimal control solutions through built-in decision support tools. SSMAT-CBGI was applied to the Central Green Corridor Park in Xixian New Area, Shaanxi Province, China, to evaluate its applicability and control stability under various uncertainty conditions by simulating twelve scenarios. As the return period increased from 5- to 50year, the UDS resilience with CBGI remained above 0.76 (out of 1), and the maximum reduction in peak outflow at the outlet of UDS reached 48.69 %. Even under climate extremes and increased impervious ratio in the future, CBGI can still regulated over 25.93 % of the runoff from drainage units. SSMAT-CBGI with intuitive user interface enables stakeholders to express their concerns and preferences, while also supporting real-time updates and result visualizations.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108190"},"PeriodicalIF":11.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155231","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}