Pub Date : 2025-01-23DOI: 10.1016/j.eiar.2025.107835
Qianya Pian , Ling Zhang , Ou Tang , Shiqi Wang
The spatial structure of urban agglomerations (SSUA) has been shown to substantially influence low-carbon development (LCD). To examine the impact of SSUA on LCD, in this study, SSUA was comprehensively measured using concentration, coupling coordination, and centrality. This was followed by an evaluation of LCD considering multiple related criteria and their interactions. Finally, the impact of SSUA on LCD was analyzed using a two-way fixed effects model and a geographically and temporally weighted regression model. Based on data from 17 urban agglomerations (UAs) in China, the following results were obtained: (1) UAs in southeastern coastal areas typically exhibit superior LCD performance (0.138–0.279) compared to UAs in China's northwest (0.129–0.203). (2) A one-unit increase in concentration is associated with a 0.262-unit increase in LCD, while a one-unit increase in coupling coordination is associated with a 0.007-unit increase in LCD. (3) In most UAs, centrality had a more variable impact, evolving from positive to negative, and then back to positive. These findings inform urban planning strategies for LCD across diverse UAs.
{"title":"Analyzing spatial structure and low-carbon development considering criteria interactions: Evidence from Chinese urban agglomerations","authors":"Qianya Pian , Ling Zhang , Ou Tang , Shiqi Wang","doi":"10.1016/j.eiar.2025.107835","DOIUrl":"10.1016/j.eiar.2025.107835","url":null,"abstract":"<div><div>The spatial structure of urban agglomerations (SSUA) has been shown to substantially influence low-carbon development (LCD). To examine the impact of SSUA on LCD, in this study, SSUA was comprehensively measured using concentration, coupling coordination, and centrality. This was followed by an evaluation of LCD considering multiple related criteria and their interactions. Finally, the impact of SSUA on LCD was analyzed using a two-way fixed effects model and a geographically and temporally weighted regression model. Based on data from 17 urban agglomerations (UAs) in China, the following results were obtained: (1) UAs in southeastern coastal areas typically exhibit superior LCD performance (0.138–0.279) compared to UAs in China's northwest (0.129–0.203). (2) A one-unit increase in concentration is associated with a 0.262-unit increase in LCD, while a one-unit increase in coupling coordination is associated with a 0.007-unit increase in LCD. (3) In most UAs, centrality had a more variable impact, evolving from positive to negative, and then back to positive. These findings inform urban planning strategies for LCD across diverse UAs.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107835"},"PeriodicalIF":9.8,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132554","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}
Pub Date : 2025-01-22DOI: 10.1016/j.eiar.2025.107816
Meixin He , Jie Xu , Yu Xiao , Xintian Gu , Qi Pang , Ying Zhou , Gaodi Xie
Ecological conservation is pivotal for protecting and restoring critical ecosystems, maintaining regional ecological security, and promoting sustainable development. Within the broader context of global ecological governance, it serves as a core strategy for preserving the integrity and health of vital ecosystems. Additionally, ecological conservation significantly influences regional ecological security and sustainable development. In response to the severe challenge of ongoing global environmental degradation, governments worldwide have initiated and implemented numerous major Ecological Protection Projects (EPPs). These projects aim to reverse ecological degradation and re-establish the natural ecological balance. In this context, there is a growing international demand for the comprehensive and timely monitoring and evaluation of the benefits derived from these ecological protection initiatives. Furthermore, analyzing the bottlenecks and challenges encountered during project implementation has become a critical area where scientific research must advance to meet the needs of the global community. Upon reviewing and comparing peer-reviewed articles on comprehensive benefit assessment, it becomes evident that existing research lacks a holistic perspective on the comprehensive benefit assessment of ecological protection. Furthermore, there is an absence of systematic studies examining the interaction between comprehensive benefits and individual benefits. This study adopts a holistic perspective by examining both the universal and specific issues associated with the comprehensive benefit assessment of EPPs. By focusing on China's national-level EPPs as case studies, the study systematically explores several key areas: (1) the connotation and definition of comprehensive benefit assessment; (2) the construction of a comprehensive benefit assessment index system; (3) the selection of appropriate methodologies for comprehensive benefit assessment; and (4) the specific effects of benefit assessments on EPPs. Additionally, the study innovatively examines the interactions among ecological, economic, social, and comprehensive benefits. It delves into two critical questions: (1) What are the intrinsic mechanisms linking individual benefits to comprehensive benefits? (2) What are the key factors influencing the balance of benefits in EPPs? Ultimately, this research aims to guide efforts in promoting ecological civilization and achieving the strategic goal of sustainable development.
{"title":"A systematic review of the progress of research on comprehensive benefit assessment of national-level ecological protection projects in China","authors":"Meixin He , Jie Xu , Yu Xiao , Xintian Gu , Qi Pang , Ying Zhou , Gaodi Xie","doi":"10.1016/j.eiar.2025.107816","DOIUrl":"10.1016/j.eiar.2025.107816","url":null,"abstract":"<div><div>Ecological conservation is pivotal for protecting and restoring critical ecosystems, maintaining regional ecological security, and promoting sustainable development. Within the broader context of global ecological governance, it serves as a core strategy for preserving the integrity and health of vital ecosystems. Additionally, ecological conservation significantly influences regional ecological security and sustainable development. In response to the severe challenge of ongoing global environmental degradation, governments worldwide have initiated and implemented numerous major Ecological Protection Projects (EPPs). These projects aim to reverse ecological degradation and re-establish the natural ecological balance. In this context, there is a growing international demand for the comprehensive and timely monitoring and evaluation of the benefits derived from these ecological protection initiatives. Furthermore, analyzing the bottlenecks and challenges encountered during project implementation has become a critical area where scientific research must advance to meet the needs of the global community. Upon reviewing and comparing peer-reviewed articles on comprehensive benefit assessment, it becomes evident that existing research lacks a holistic perspective on the comprehensive benefit assessment of ecological protection. Furthermore, there is an absence of systematic studies examining the interaction between comprehensive benefits and individual benefits. This study adopts a holistic perspective by examining both the universal and specific issues associated with the comprehensive benefit assessment of EPPs. By focusing on China's national-level EPPs as case studies, the study systematically explores several key areas: (1) the connotation and definition of comprehensive benefit assessment; (2) the construction of a comprehensive benefit assessment index system; (3) the selection of appropriate methodologies for comprehensive benefit assessment; and (4) the specific effects of benefit assessments on EPPs. Additionally, the study innovatively examines the interactions among ecological, economic, social, and comprehensive benefits. It delves into two critical questions: (1) What are the intrinsic mechanisms linking individual benefits to comprehensive benefits? (2) What are the key factors influencing the balance of benefits in EPPs? Ultimately, this research aims to guide efforts in promoting ecological civilization and achieving the strategic goal of sustainable development.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107816"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132550","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}
Pub Date : 2025-01-22DOI: 10.1016/j.eiar.2025.107825
Yuqiong Long , Jiayi Xin , Beijia Huang , Yao Wang , XiaXia He , QingBin Song
As a major contributor to carbon emissions, the building sector harbors immense potential for achieving life-cycle decarbonization. This study focuses on major economies like China, the USA, the UK, and Japan, outlining their paths to building carbon neutrality and examining their progress and challenges in reducing emissions. Changes in energy-related carbon emissions in the building industry were analyzed, and potential emission reductions through key carbon mitigation technologies were identified. This study offers targeted insights for advancing carbon neutrality in the building sectors of these countries. The results highlight electrification as the primary pathway to achieving carbon neutrality in these four countries and a critical strategy for others. It is essential to consider each country's unique climate and resource advantages when planning pathways to carbon neutrality, serving as a reference for other nations. Focusing on optimizing building structures and reducing material and energy consumption is crucial for countries like Japan and the UK, which have limited natural resources. Meanwhile, transitioning to clean energy is necessary for resource-rich countries like the USA and China, facing high demand for materials and energy. Effective implementation of these strategies can substantially advance the attainment of carbon neutrality goals.
{"title":"Status and challenges of building carbon-neutral pathways: Comparative analysis in major world economies","authors":"Yuqiong Long , Jiayi Xin , Beijia Huang , Yao Wang , XiaXia He , QingBin Song","doi":"10.1016/j.eiar.2025.107825","DOIUrl":"10.1016/j.eiar.2025.107825","url":null,"abstract":"<div><div>As a major contributor to carbon emissions, the building sector harbors immense potential for achieving life-cycle decarbonization. This study focuses on major economies like China, the USA, the UK, and Japan, outlining their paths to building carbon neutrality and examining their progress and challenges in reducing emissions. Changes in energy-related carbon emissions in the building industry were analyzed, and potential emission reductions through key carbon mitigation technologies were identified. This study offers targeted insights for advancing carbon neutrality in the building sectors of these countries. The results highlight electrification as the primary pathway to achieving carbon neutrality in these four countries and a critical strategy for others. It is essential to consider each country's unique climate and resource advantages when planning pathways to carbon neutrality, serving as a reference for other nations. Focusing on optimizing building structures and reducing material and energy consumption is crucial for countries like Japan and the UK, which have limited natural resources. Meanwhile, transitioning to clean energy is necessary for resource-rich countries like the USA and China, facing high demand for materials and energy. Effective implementation of these strategies can substantially advance the attainment of carbon neutrality goals.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107825"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132597","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}
Anthropogenic perturbation of the nitrogen cycle poses significant environmental and social challenges, highlighting the need for effective nitrogen management in sustainable food systems. The Nitrogen Footprint (N-Footprint) offers an innovative metric to quantify reactive nitrogen (Nr) emissions and trace their environmental pathways.
This study refines a previous N-Footprint accounting framework to include both direct and indirect Nr emissions throughout the life cycle, providing a comprehensive perspective on Nr dynamics. The methodology is applied to a case study of Italian wine production, covering vineyard cultivation, winemaking, and bottling processes. Results indicate total emissions of 7.67 g Nr per 0.75 L wine bottle, with the vineyard phase accounting for 64.4 % of the overall impact, largely due to intensive fertilizer use. Water is identified as the most affected environmental compartment (55.7 % of emissions), primarily as a result of nitrate leaching.
Additionally, the study quantifies the Virtual Nitrogen Factor (VNF) to evaluate nitrogen use efficiency. Italian wine production demonstrates relatively high efficiency (2.28 g Nr per gram of nitrogen intake) compared to other fruit-based products. However, the lack of a standardized N-Footprint methodology hinders cross-sectoral comparability. This research calls for the development of nitrogen-specific Life Cycle Assessment (LCA) standards to promote sustainable agricultural practices.
{"title":"Nitrogen Footprint accounting and food sustainability: Insights from the Italian wine industry","authors":"Valentina Niccolucci , Michela Marchi , Ilaria Minardi , Nadia Marchettini","doi":"10.1016/j.eiar.2025.107830","DOIUrl":"10.1016/j.eiar.2025.107830","url":null,"abstract":"<div><div>Anthropogenic perturbation of the nitrogen cycle poses significant environmental and social challenges, highlighting the need for effective nitrogen management in sustainable food systems. The Nitrogen Footprint (N-Footprint) offers an innovative metric to quantify reactive nitrogen (Nr) emissions and trace their environmental pathways.</div><div>This study refines a previous N-Footprint accounting framework to include both direct and indirect Nr emissions throughout the life cycle, providing a comprehensive perspective on Nr dynamics. The methodology is applied to a case study of Italian wine production, covering vineyard cultivation, winemaking, and bottling processes. Results indicate total emissions of 7.67 g Nr per 0.75 L wine bottle, with the vineyard phase accounting for 64.4 % of the overall impact, largely due to intensive fertilizer use. Water is identified as the most affected environmental compartment (55.7 % of emissions), primarily as a result of nitrate leaching.</div><div>Additionally, the study quantifies the Virtual Nitrogen Factor (VNF) to evaluate nitrogen use efficiency. Italian wine production demonstrates relatively high efficiency (2.28 g Nr per gram of nitrogen intake) compared to other fruit-based products. However, the lack of a standardized N-Footprint methodology hinders cross-sectoral comparability. This research calls for the development of nitrogen-specific Life Cycle Assessment (LCA) standards to promote sustainable agricultural practices.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107830"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132598","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}
Pub Date : 2025-01-22DOI: 10.1016/j.eiar.2025.107819
Shuhan Yang , Ruyin Long , Hong Chen , Jingwen Na , Qingqing Sun , Ting Yue , Qianwen Li , Xinru Wang , Wanqi Ma , Mark Goh
Multi-stakeholder participation is essential for the sustainable development of plastic packaging waste recycling (PPWR), particularly given the dynamic influence of social media on behavior. This study employed machine learning techniques to analyze emotional orientations toward PPWR. Based on this analysis, a multi-agent model framework was developed to investigate behavioral interactions and evaluate the impacts of environmental communication, image signaling, and regulatory measures. Sentiment analysis indicated that public emotions toward PPWR were predominantly neutral, suggesting a need for enhanced strategies to foster sustainable recycling behavior. Findings from the multi-agent game analysis demonstrated that social media can positively affect the behavior of various stakeholders within the PPWR system. Environmental communication was found to positively influence the actions of implementing agents, while image signaling effects were observed to positively impact their evolutionary trajectories but had minimal effect on the rate of behavior change among residents. Regulatory measures were shown to significantly affect both the evolutionary trajectories and convergence rates of stakeholders. These results offer insights into predicting the integrated steady-state behaviors of multiple stakeholders in PPWR and suggest strategies for promoting sustainable recycling practices.
{"title":"How to promote sustainable recycling of plastic packaging waste? A study combining machine learning with gaming theory","authors":"Shuhan Yang , Ruyin Long , Hong Chen , Jingwen Na , Qingqing Sun , Ting Yue , Qianwen Li , Xinru Wang , Wanqi Ma , Mark Goh","doi":"10.1016/j.eiar.2025.107819","DOIUrl":"10.1016/j.eiar.2025.107819","url":null,"abstract":"<div><div>Multi-stakeholder participation is essential for the sustainable development of plastic packaging waste recycling (PPWR), particularly given the dynamic influence of social media on behavior. This study employed machine learning techniques to analyze emotional orientations toward PPWR. Based on this analysis, a multi-agent model framework was developed to investigate behavioral interactions and evaluate the impacts of environmental communication, image signaling, and regulatory measures. Sentiment analysis indicated that public emotions toward PPWR were predominantly neutral, suggesting a need for enhanced strategies to foster sustainable recycling behavior. Findings from the multi-agent game analysis demonstrated that social media can positively affect the behavior of various stakeholders within the PPWR system. Environmental communication was found to positively influence the actions of implementing agents, while image signaling effects were observed to positively impact their evolutionary trajectories but had minimal effect on the rate of behavior change among residents. Regulatory measures were shown to significantly affect both the evolutionary trajectories and convergence rates of stakeholders. These results offer insights into predicting the integrated steady-state behaviors of multiple stakeholders in PPWR and suggest strategies for promoting sustainable recycling practices.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107819"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132552","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}
Pub Date : 2025-01-22DOI: 10.1016/j.eiar.2025.107832
Shoufu Yang , Yiming Chen , Hao Chen , Bin Ye , Shuai Shao
The digital economy and enterprise agglomeration are vital drivers of modern economic development, and improving green total factor productivity (GTFP) is a key path to sustainable growth. Prior research in this area isolates the effects of the digital economy and economic agglomeration on GTFP, and few studies have explored the agglomeration of digital enterprises. This paper constructs a unique micro-level geographic dataset containing 13,371,283 Chinese digital enterprises and uses a distance-based Duranton and Overman index to measure digital enterprise agglomeration (DEA) in 278 cities from 2007 to 2019. Based on agglomeration externalities and resource allocation theories, we examine the nonlinear and spatial relationship between DEA and GTFP by matching micro-level enterprise data with macro-level city data. We also identify the mechanism using spatial mediating effect models. We find that DEA has a positive “U-shaped” correlation with GTFP, and that DEA has spatial spillover effects on neighbouring GTFP. The heterogeneity analysis indicates that DEA's impact on GTFP varies greatly depending on the city's conditions. In addition, capital misallocation and green technology innovation act as mediators between DEA and GTFP, but labour misallocation does not. Accordingly, we contend that the government should reform the household registration, land, and social security systems to promote the circulation of digital talents across regions, releasing the digital agglomeration and spatial spillover effects of provincial capitals and sub-centre cities. Finally, DEA strategies and green transformation policies should be dynamically adjusted in combination with the local industrial base and digital development conditions.
{"title":"Digital enterprise distribution and green total factor productivity: A spatial agglomeration perspective","authors":"Shoufu Yang , Yiming Chen , Hao Chen , Bin Ye , Shuai Shao","doi":"10.1016/j.eiar.2025.107832","DOIUrl":"10.1016/j.eiar.2025.107832","url":null,"abstract":"<div><div>The digital economy and enterprise agglomeration are vital drivers of modern economic development, and improving green total factor productivity (GTFP) is a key path to sustainable growth. Prior research in this area isolates the effects of the digital economy and economic agglomeration on GTFP, and few studies have explored the agglomeration of digital enterprises. This paper constructs a unique micro-level geographic dataset containing 13,371,283 Chinese digital enterprises and uses a distance-based Duranton and Overman index to measure digital enterprise agglomeration (DEA) in 278 cities from 2007 to 2019. Based on agglomeration externalities and resource allocation theories, we examine the nonlinear and spatial relationship between DEA and GTFP by matching micro-level enterprise data with macro-level city data. We also identify the mechanism using spatial mediating effect models. We find that DEA has a positive “U-shaped” correlation with GTFP, and that DEA has spatial spillover effects on neighbouring GTFP. The heterogeneity analysis indicates that DEA's impact on GTFP varies greatly depending on the city's conditions. In addition, capital misallocation and green technology innovation act as mediators between DEA and GTFP, but labour misallocation does not. Accordingly, we contend that the government should reform the household registration, land, and social security systems to promote the circulation of digital talents across regions, releasing the digital agglomeration and spatial spillover effects of provincial capitals and sub-centre cities. Finally, DEA strategies and green transformation policies should be dynamically adjusted in combination with the local industrial base and digital development conditions.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107832"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132553","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}
Pub Date : 2025-01-22DOI: 10.1016/j.eiar.2025.107837
Shuo Wang , Tianzuo Zhang , Ziheng Li , Kang Wang , Jinglan Hong
Life cycle impact assessment (LCIA) is a crucial tool for sustainable development, cleaner production, and policymaking globally. However, traditional static LCIA methods rely on fixed characterization factors, making it difficult to capture the dynamic changes in environmental impacts over time and space. This study uses an interpretable machine learning method to develop dynamic LCIA for assessing the spatiotemporal carcinogenic impact of coal power generation in China. The results show that the accuracy of the dynamic life cycle carcinogenic assessment (LCCA) outperforms the traditional LCCA. The Pearson correlation coefficient between the dynamic LCCA and cancer cases is 0.676, while that of the traditional LCCA is 0.556. The disease burden caused by pollutants released from coal power generation is spatiotemporal quantified based on dynamic LCCA, and results show that mercury pollutant emissions caused a cumulative disease burden of 661,062 DALYs from 2007 to 2016. Furthermore, the dynamic sensitivity analysis reveals the nonlinear response of disease burden to pollutant emissions. The sensitivity of disease burden to different pollutant emission levels is various, and the response of disease burden is more significant when the pollutant emission level is higher. This study supports the advancement of dynamic LCIA and sustainable environmental health.
{"title":"Interpretable machine learning method empowers dynamic life cycle impact assessment: A case study on the carcinogenic impact of coal power generation","authors":"Shuo Wang , Tianzuo Zhang , Ziheng Li , Kang Wang , Jinglan Hong","doi":"10.1016/j.eiar.2025.107837","DOIUrl":"10.1016/j.eiar.2025.107837","url":null,"abstract":"<div><div>Life cycle impact assessment (LCIA) is a crucial tool for sustainable development, cleaner production, and policymaking globally. However, traditional static LCIA methods rely on fixed characterization factors, making it difficult to capture the dynamic changes in environmental impacts over time and space. This study uses an interpretable machine learning method to develop dynamic LCIA for assessing the spatiotemporal carcinogenic impact of coal power generation in China. The results show that the accuracy of the dynamic life cycle carcinogenic assessment (LCCA) outperforms the traditional LCCA. The Pearson correlation coefficient between the dynamic LCCA and cancer cases is 0.676, while that of the traditional LCCA is 0.556. The disease burden caused by pollutants released from coal power generation is spatiotemporal quantified based on dynamic LCCA, and results show that mercury pollutant emissions caused a cumulative disease burden of 661,062 DALYs from 2007 to 2016. Furthermore, the dynamic sensitivity analysis reveals the nonlinear response of disease burden to pollutant emissions. The sensitivity of disease burden to different pollutant emission levels is various, and the response of disease burden is more significant when the pollutant emission level is higher. This study supports the advancement of dynamic LCIA and sustainable environmental health.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107837"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132551","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}
Pub Date : 2025-01-22DOI: 10.1016/j.eiar.2025.107828
Jing Ning , Bin Liu , Yahui Xu , Lina Yu
Green supply chain management (GSCM)—an important strategic choice for organizations participating in supply chain activities—incorporates environmental issues into how firms manage their supply chains. Firms implement green management in their supply chains, both internally and externally, to enhance their sustainability performance. This study provides an empirical analysis using questionnaire-based data from manufacturing firms in China. The results reveal a strong positive correlation between internal and external GSCM and corporate sustainability performance, with green innovation playing a mediating role in this relationship. Additionally, supply chain collaboration promotes the relationship between internal and external GSCM and green innovation. This study's findings offer managerial guidance for judiciously implementing environmental strategies within supply chain frameworks to enhance firms' sustainability.
{"title":"Does green supply chain management improve corporate sustainability performance? Evidence from China","authors":"Jing Ning , Bin Liu , Yahui Xu , Lina Yu","doi":"10.1016/j.eiar.2025.107828","DOIUrl":"10.1016/j.eiar.2025.107828","url":null,"abstract":"<div><div>Green supply chain management (GSCM)—an important strategic choice for organizations participating in supply chain activities—incorporates environmental issues into how firms manage their supply chains. Firms implement green management in their supply chains, both internally and externally, to enhance their sustainability performance. This study provides an empirical analysis using questionnaire-based data from manufacturing firms in China. The results reveal a strong positive correlation between internal and external GSCM and corporate sustainability performance, with green innovation playing a mediating role in this relationship. Additionally, supply chain collaboration promotes the relationship between internal and external GSCM and green innovation. This study's findings offer managerial guidance for judiciously implementing environmental strategies within supply chain frameworks to enhance firms' sustainability.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107828"},"PeriodicalIF":9.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132596","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}
Pub Date : 2025-01-21DOI: 10.1016/j.eiar.2025.107824
Alexandra Ćulibrk , Panayiotis G. Dimitrakopoulos , Giorgos D. Kokkoris , Maria Eleftheriadou , Ourania Tzoraki
Expanding on visitor carrying capacity estimations, this study developed a tailored approach to determine the maximum daily visitation numbers for twelve beaches within the Natura 2000 network on the western coast of Peloponnese, Greece. The methodology includes spatial delineation of beach sections for seasonal use, integration of environmental and social parameters and compliance with the national legislation for the evaluation of various carrying capacities estimates: Physical, Real, Efficient and Social. Unique to this study is the incorporation of the social dimension and legal constraints for coastal use in protected zones, previously omitted in such methodologies. The loggerhead sea turtle (Caretta caretta) and the sea daffodil (Pancratium maritimum) are key parameters due to the high density of nests and populations correspondingly on the beaches. Additional parameters include beach pathways, parking spaces, susceptibility to erosion and duration of sunlight. A comparison of the physical and efficient carrying capacity related to the seasonal infrastructure reveals the overexploitation by the coastal tourism sector. The social carrying capacity index is used as an additional tool to assess the perceptions of visitors regarding possible changes in visitor numbers at the study beaches. This framework showed that most of the studied beaches are experiencing increased anthropogenic pressure.
{"title":"A holistic approach to assessing visitor numbers on protected Natura 2000 beaches: The case of Western Peloponnese, Greece","authors":"Alexandra Ćulibrk , Panayiotis G. Dimitrakopoulos , Giorgos D. Kokkoris , Maria Eleftheriadou , Ourania Tzoraki","doi":"10.1016/j.eiar.2025.107824","DOIUrl":"10.1016/j.eiar.2025.107824","url":null,"abstract":"<div><div>Expanding on visitor carrying capacity estimations, this study developed a tailored approach to determine the maximum daily visitation numbers for twelve beaches within the Natura 2000 network on the western coast of Peloponnese, Greece. The methodology includes spatial delineation of beach sections for seasonal use, integration of environmental and social parameters and compliance with the national legislation for the evaluation of various carrying capacities estimates: Physical, Real, Efficient and Social. Unique to this study is the incorporation of the social dimension and legal constraints for coastal use in protected zones, previously omitted in such methodologies. The loggerhead sea turtle (<em>Caretta caretta</em>) and the sea daffodil (<em>Pancratium maritimum</em>) are key parameters due to the high density of nests and populations correspondingly on the beaches. Additional parameters include beach pathways, parking spaces, susceptibility to erosion and duration of sunlight. A comparison of the physical and efficient carrying capacity related to the seasonal infrastructure reveals the overexploitation by the coastal tourism sector. The social carrying capacity index is used as an additional tool to assess the perceptions of visitors regarding possible changes in visitor numbers at the study beaches. This framework showed that most of the studied beaches are experiencing increased anthropogenic pressure.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107824"},"PeriodicalIF":9.8,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132593","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}
Pub Date : 2025-01-21DOI: 10.1016/j.eiar.2025.107833
Zheng Liu , Pingyang Liu
The rapid advancement of e-commerce has brought new opportunities and challenges to green consumption transformation, which is of pivotal importance in achieving the goals of carbon peaking and carbon neutrality. Nevertheless, as an emerging platform of consumption, its impacts on green consumption have yet to be fully explored due to its inherent complexity and the lack of available data. This study employs the panel data of 30 Chinese provinces from 2012 to 2023 to explore the impact of e-commerce on green consumption and elucidates the mechanisms from the ‘production-circulation-consumption’ perspectives. The findings indicate that e-commerce promotes green consumption transformation through the improvement of residents' purchasing power, the upgrade of industrial structure and the greening production of enterprises, and the positive effects outweigh its negative impact on the whole. Furthermore, environmental regulations of government exert a significant positive moderating effect. The heterogeneity analysis demonstrates that the positive impact of e-commerce on green consumption is more evident in the eastern and central regions of China, or under the circumstances with higher level of pollution, or among population with lower education and income level. This study extends the theoretical investigation into the nexus between e-commerce and consumption, providing a basis for governmental and entrepreneurial strategic decision-making, thus further contributing to green development of economy.
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