Environment, Development and Sustainability最新文献

{"title":"Financing the green transition: how green finance, green innovation, green growth, and environmental taxes can drive carbon neutrality","authors":"Zhang Wei,&nbsp;Amir Iqbal,&nbsp;Sayeda Jahangir,&nbsp;Muhammad Sibt e Ali,&nbsp;Muttahir Hussain","doi":"10.1007/s10668-024-05933-3","DOIUrl":"10.1007/s10668-024-05933-3","url":null,"abstract":"<div><p>Motivated by growing environmental concerns and recent policy reforms, this study examines whether green finance, green innovation, green growth, and environmental taxes can curb CO₂ emissions in 25 environmentally friendly countries. While existing research has explored these factors individually, a comprehensive analysis of their combined impact remains lacking in conjunction with urbanization, internet users, and trade openness. To address this gap, we employ the Method of Movement Quantile Regression and Quantile Regression (QR) to analyze data from 2000 to 2021 for these EPI countries. Our findings reveal that green finance, green innovation, green growth, environmental taxes, urbanization, and trade openness significantly negatively impact CO₂ emissions across lower, middle, and upper quantiles. However, internet users revealed a positive impact on CO₂ emissions. Similarly, utilizing the Dumitrescu-Hurlin test to establish causality, we identify bidirectional relationships between most variables and CO₂ emissions. These results emphasize importance of green policies in nurturing sustainable development. Consequently, the study put forward a valuable policy recommendations to assist these 25 countries in achieving environmental sustainability.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27289 - 27321"},"PeriodicalIF":4.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring hotspots of traffic accidents in Chiniot-Sargodha Road, Punjab, Pakistan","authors":"Taimoor Ashraf,&nbsp;Muhammad Irfan Ahamad,&nbsp;Shakeel Mahmood,&nbsp;Jiangtao Fu,&nbsp;Muhammad Sajid Mehmood,&nbsp;Adnanul Rehman,&nbsp;Sohail Abbas,&nbsp;Syed Ali Asad Naqvi,&nbsp;Rana Muhammad Zulqarnain","doi":"10.1007/s10668-025-05996-w","DOIUrl":"10.1007/s10668-025-05996-w","url":null,"abstract":"<div><p>Road Traffic Accidents (RTAs) are a leading cause of fatalities and injuries worldwide, particularly in developing countries where infrastructure and traffic management are often inadequate. This study examines the spatial patterns and determinants of RTAs along the Chiniot-Sargodha Road, Pakistan, by integrating multiple spatial analysis methods to identify accident hotspots and their correlation with demographic, infrastructural, and environmental factors, addressing gaps in the existing literature. The study uses spatial and statistical techniques, including Kernel Density Estimation (KDE), Standard Deviational Ellipse (SDE), and Average Nearest Neighbor (ANN), to analyze RTA clustering patterns from 2012 to 2021. Data from traffic records and geographical databases were integrated with GIS tools to visualize hotspots and assess their association with demographic, infrastructural, and environmental factors. The findings show that RTA hotspots concentrated in central urban areas of Chiniot-Sargodha Road mainly affect younger males (21–30). 2012 stands out due to infrastructure changes, traffic volume, and poor weather. Poor road conditions, inadequate management, and human errors are vital contributors, with a multi-method approach offering a comprehensive understanding of RTA dynamics. This study’s novelty lies in its multi-method approach, combining spatial and statistical analyses to understand RTA dynamics in semi-urban areas comprehensively. The study highlights the need for a multifaceted approach to road safety, combining engineering, traffic management, and education. It provides a framework with practical insights for policymakers and planners, suggesting future research use real-time data and machine learning for improved accident prediction and prevention strategies.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27323 - 27343"},"PeriodicalIF":4.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are low-carbon city pilot policies conducive to carbon reduction?: An analysis of experiences from China","authors":"Xiongying Li,&nbsp;Jie Hu,&nbsp;Xuemeng Lyu,&nbsp;Miraj Ahmed Bhuiyan","doi":"10.1007/s10668-024-05776-y","DOIUrl":"10.1007/s10668-024-05776-y","url":null,"abstract":"<div><p>The low-carbon city pilot policies constitute a pivotal initiative in realizing the objectives of \"carbon peak\" and \"carbon neutrality.\" This study utilizes panel data spanning 260 cities in China from 2001 to 2019 to investigate the influence of low-carbon city pilot policies on carbon emission reduction by using the difference-in-difference method and the dynamic spatial Durbin model. Our findings yield the following insights: (1) In the short term, the implementation of the low-carbon city pilot policies results in a promotion of urban CO₂ emissions, exerting an initial inhibitory effect on the attainment of carbon emission reduction targets. In the long term, the low-carbon city pilot policies exhibit a robust capacity to significantly curtail urban CO₂ emissions, thereby advancing the realization of carbon emission reduction objectives. (2) Low-carbon city pilot policies can effectively contribute to carbon emission reduction by fostering green technology innovation. (3) Evident heterogeneity exists in the impact of different waves of low-carbon city pilot policies on carbon emission reduction, and a significant dynamic effect is observed in the carbon emission reduction among cities during each period. The research presented in this paper furnishes empirical validation for the advancement of policy planning aimed at nationwide low-carbon city development. This study not only enhances the empirical analysis of carbon emissions statistics but also offers crucial empirical backing for consolidating early successes in low-carbon city construction, broadening future development horizons, and delving deeper into the pathway for advancing the \"dual carbon\" goal with distinct Chinese characteristics.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27091 - 27115"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of artificial intelligence empowering green innovation: a case study of the Yangtze River Economic Belt","authors":"Xingxing He,&nbsp;Junjie Ruan,&nbsp;Caixing Bian","doi":"10.1007/s10668-025-06019-4","DOIUrl":"10.1007/s10668-025-06019-4","url":null,"abstract":"<div><p>Artificial intelligence (AI), as the core engine of the Fourth Industrial Revolution, has revitalized the drive for green innovation. This study investigates the complex impacts of artificial intelligence on innovative green technologies using panel data from 100 cities in the Yangtze River Economic Belt between 2011 and 2020. According to the study, AI considerably raises the degree of innovation that is environmentally friendly in the Yangtze River Economic Belt, with regional and city size having an impact. Industrial agglomeration is a key mechanism through which AI improves green innovation levels. Further analysis reveals significant threshold effects of digital inclusive finance and information in AI-driven green innovation. Furthermore, a more thorough investigation shows that AI significantly boosts green innovation through favorable spatial spillover effects. These findings enhance the understanding of AI's role in green innovation and provide empirical evidence for regional green innovation development.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27259 - 27287"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the differential effects of environmental, social, and governance and controversies on metafrontier efficiencies for sustainable development goals","authors":"Qian Long Kweh,&nbsp;Wen-Min Lu,&nbsp;Irene Wei Kiong Ting,&nbsp;Ren Chunya","doi":"10.1007/s10668-025-05999-7","DOIUrl":"10.1007/s10668-025-05999-7","url":null,"abstract":"<div><p>Environmental, social, and governance (ESG) investments have their rewards and risks. As the world focuses on ESG investments, the media shed light on ESG controversies or concerns, such as tax frauds and harmful products. These controversies place companies at risk and consequently harm their sustainable development. Using a unique supply chain dataset from McDonald’s Corporation, this study (i) develops a two-stage efficiency evaluation framework with a metafrontier range directional model in data envelopment analysis (DEA) and (ii) examines the relationship between DEA efficiency scores and ESG and ESG controversy scores through regression analysis. Results show that research and development efficiency (0.910) contributes more to overall efficiency than to profitability efficiency (0.700). While ESG scores positively impact efficiency, ESG controversies exert a negative effect, except for companies with ISO14000 environmental management certification. This study not only reinforces stakeholder theory by highlighting the critical role of ESG practices in enhancing company efficiency and stakeholder engagement but also provides actionable insights for policymakers and management teams to foster sustainable development through strategic ESG investments and partnerships. Overall, this study underscores the importance of examining stakeholder engagement in achieving sustainable development goals by managing financial and R&amp;D resources, investing in ESG, and addressing ESG controversies among supply chains.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27201 - 27224"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eco-intelligent production: intelligent manufacturing and industrial green transition","authors":"Xiaoli Hao,&nbsp;Yuhong Li,&nbsp;Kun Wang,&nbsp;Qingyu Sun,&nbsp;Haitao Wu","doi":"10.1007/s10668-024-05935-1","DOIUrl":"10.1007/s10668-024-05935-1","url":null,"abstract":"<div><p>Intelligent manufacturing drives the transition of traditional manufacturing toward a low-carbon model, improving efficiency while reducing pollution and thereby achieving a synergy between economic growth and environmental sustainability. This research establishes an evaluation index system designed to measure the degree of green transformation in the industry and investigates both the direct effects and underlying mechanisms by which intelligent manufacturing influences this transformation. The study demonstrates the following: (1) a significant U-shaped relationship exists between intelligent manufacturing and industrial green transition, particularly pronounced in eastern and non-resource-based regions; (2) intelligent manufacturing displays a U-shaped relationship with R&amp;D expenditure, human capital quality, and patent output, which are the primary mechanisms facilitating industrial green transformation; and (3) industrial policy plays a supportive moderating role in enhancing the effectiveness of intelligent manufacturing in driving industrial green transformation. As the intensity of industrial policy support increases, the mediating roles of human capital and patent output in the relationship between intelligent manufacturing and industrial green transformation are significantly strengthened, indicating a moderated mediation effect.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27117 - 27147"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward eco-friendly mining: forging an understanding of artisanal small scale gold mining firms’ mercury-free mining behavior: a serial mediation-moderation analysis with evidence from Ghana","authors":"Nurudeen Abdul-Rahaman,&nbsp;Vincent Ekow Arkorful,&nbsp;Issah Iddrisu,&nbsp;Jeremiah Vincent Arkorful","doi":"10.1007/s10668-025-05972-4","DOIUrl":"10.1007/s10668-025-05972-4","url":null,"abstract":"<div><p>The increasing use of mercury in small scale mining and its implications has sparked an intensive mercury-free mining advocacy in Ghana. Despite the attention that this has drawn, existing studies tend to have explored the individual-level behavior antecedents, neglecting the salient firm-level dynamics to forging behavior. Therefore, this research develops a heuristic framework anchored on the norm activation and the institutional theory to probe mining firms’ mercury-free mining behavior. It draws data (<i>n</i> = 570) from mining firms and analyze them using the structural equation modeling (S<i>EM</i>) approach. The results of data analysis revealed the positive relationship between awareness of consequences and ascription of responsibility, which together related positively with firms’ norms. Also, firms’ norms related positively to mercury-free mining behavior. While the linkage between regulatory quality and mercury-free mining behavior received affirmation, the moderating effect of proactive environmental strategy on the relationship between firm norms and mercury-free mining behavior on one breadth, and regulatory quality and mercury-free mining behavior on the other, was confirmed. In addition to confirming the imperativeness of integrated theories (which contributed 43% in explained variance) to studying pro-social mining behavior, this research reiterates the effects of behavior and institutional factors to firm-level pro-social actions, a subject which has received little research attention. The research therefore recommends stakeholder synergy and multilevel governance as the pathway to promoting sustainable pro-social behavior.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27149 - 27175"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of land consolidation on moisture and surface temperature regime of agricultural soil blocks using remote sensing data in the Czech Republic","authors":"Furkan Yilgan,&nbsp;Şinasi Kaya,&nbsp;Markéta Miháliková,&nbsp;Svatopluk Matula,&nbsp;Jan Vopravil,&nbsp;Recep Serdar Kara","doi":"10.1007/s10668-025-05990-2","DOIUrl":"10.1007/s10668-025-05990-2","url":null,"abstract":"<div><p>The Czech Republic has experienced collectivization, transforming individual land ownership into state ownership through agricultural land consolidation after World War II. Land consolidation has led to the expansion of agricultural soil blocks as well as the disappearance of vital landscape features such as shrubs, hedges, lone trees, and wetlands, all of which serve a variety of ecological functions. The disappearance of the landscape elements causes some important problems, such as soil degradation and erosion. The Czech Ministry of Agriculture has enforced a regulation that was developed by the European Union to improve agriculture by enforcing cross-compliance requirements, which encompass the observance of Good Agricultural and Environmental Condition (GAEC) standards. The regulation disincentivizes single-crop cultivation on areas larger than 30 hectares since 2020 to reduce the negative effects of land consolidations on agriculture and soil quality. In this context, the study examines the relationship between land surface temperature (LST) and moisture of agricultural plants and soil blocks in the South Bohemia, Czech Republic, using Landsat-8 remote sensing data from 2018 to 2021. The mono-window algorithm (MWA) was used to obtain LST, and the precision of Landsat LST data was evaluated using MODIS daily LST data. The NRMSE ≤ 0.15 and RMSE ≤ 3.5 C were found with a strong positive relationship <i>r</i> ≥ 0.65 between datasets. Additionally, the density of vegetation and the moisture index of soil and plants were calculated using spectral remote sensing indices such as the normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), and soil moisture index (SMI). The statistical relationships among those spectral indices with LST were examined. The analyzes showed that the implementation of GAEC 7d improved the relationship between NDVI and NDMI, with the correlation increasing from <i>r</i> = 0.80 in 2019 to 0.92 in 2021. Meanwhile, the inverse relationship between NDMI and LST changed from − 0.71 to -0.67. These changes in correlation suggest that plant water retention in the region increased following the regulation, and the soil structure may have also improved.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27177 - 27199"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10668-025-05990-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid machine learning-based decision-making model for viable supplier selection problem considering circular economy dimensions","authors":"AmirReza Tajally,&nbsp;Mahla Zhian Vamarzani,&nbsp;Mohssen Ghanavati-Nejad,&nbsp;Fardin Rezaei Zeynali,&nbsp;Mahyar Abbasian,&nbsp;Amiratabak Bahengam","doi":"10.1007/s10668-025-06014-9","DOIUrl":"10.1007/s10668-025-06014-9","url":null,"abstract":"<div><p>In today’s competitive and global marketplace, the suppliers play a crucial role in enhancing the efficiency and competitiveness of each company. In this regard, since the traditional view of evaluating suppliers that only relied on financial aspects is not acceptable in today’s modern business environment, the current research aims to investigate the Supplier Selection Problem (SSP) by considering three crucial concepts named the sustainability, circular economy, and viability. To this end, this work proposes a novel hybrid Machine Learning-Based Model (MLBM) by combining the machine learning and decision-making methods. In this regard, by considering a case study in the automotive industry, the alternatives and dimensions are specified. Then, a novel method called the Lexicographic Goal Programming-based Stochastic Best–Worst Method (LGPSBWM) is proposed to measure the dimensions’ importance. Afterwards, to assess the performance of the potential raw material providers, a new machine learning method named the stochastic Weighted Support Vector Machine (SWSVM) is developed. In general, the main contribution of this research is to develop an efficient and novel machine-learning based decision framework to investigate the SSP by considering viability and circular economy dimensions. Moreover, the obtained results can be summarized in three major points as follows: (i) “Responsiveness”, “Reliability”, “Cost”, “Quality”, “Waste management”, “Robustness”, “Information systems usage”, and “GHG emissions” have been determined as the most significant indicators, (ii) suppliers Omani#01 and Iranian #07 are selected as the best ones, (iii) the developed hybrid method has shown efficient and reliable performance. Finally, the managerial and theoretical implications are presented.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27225 - 27257"},"PeriodicalIF":4.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of ESG performance on corporate digital transformation","authors":"Yu Cheng,&nbsp;Hao Li","doi":"10.1007/s10668-025-06012-x","DOIUrl":"10.1007/s10668-025-06012-x","url":null,"abstract":"<div><p>The rapid development of digital technologies has profoundly transformed corporate practices, making digital transformation a central focus of modern governance. In parallel, environmental, social, and governance (ESG) principles have gained increasing prominence as drivers of sustainable corporate strategies. This study explores the relationship between ESG performance and corporate digital transformation using a panel dataset of A-share listed companies in China from 2009 to 2022. Employing robust empirical methods, including endogeneity and robustness tests, the results reveal that ESG performance significantly enhances digital transformation. Specifically, a one-standard-deviation increase in ESG performance is associated with a 3.47% increase in the degree of digital transformation relative to the sample average. Mechanism analysis demonstrates that ESG performance facilitates digital transformation by optimizing corporate governance and alleviating financing constraints. Moreover, this effect is amplified in firms with higher technological capabilities, industries with intense competition, and regions with advanced digital infrastructure. These findings provide novel insights into the role of ESG initiatives in promoting digital transformation, offering valuable implications for policymakers and corporate leaders seeking to align sustainability and innovation objectives.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27063 - 27090"},"PeriodicalIF":4.9,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}