首页 > 最新文献

Sustainable Futures最新文献

英文 中文
Explaining the transmission mechanism of social-ecological systems adaptive cycling on path dependency in resource-based cities: Evidence from Shanxi Province, China
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-19 DOI: 10.1016/j.sftr.2025.100449
Min Wang , Kongtao Qin , Jinxuan Li , Shuqi Yang
Path dependence has resulted in industrial structure solidification, social structure convergence, and insufficient power for transformation and innovation in resource-based cities, which is the root cause of these cities falling into a locked state. For a long time, many theoretical insights and concepts have been generated from research on the phenomenon of path dependence in resource-based cities and resolve strategies. However, research on the factors causing the ‘resource curse’ in process and their transmission mechanisms remain incomplete. In particular, the value of the social-ecological systems’ mechanism in enhancing resilience requires further emphasis. In this paper, the adaptive cyclic evolution characteristics of the social-ecological systems in Shanxi Province were examined based on the implementation of industrial green transformation policies from 2006 to 2020, and the limiting factors and transmission mechanisms were identified. The results indicated that industrial transformation policies significantly enhance potential and resilience. In contrast, investment in social and human capital, technological innovation, social infrastructure, urban cultural values, and service capacity promote advancement in the adaptive cycle. Furthermore, based on differences in the timing of these advancements, resource-based cities were categorized into development-stopping, normal development, and leapfrog development. We conclude with some strategies, including improving social infrastructure, raising scientific and technological standards, narrowing the urban-rural divide, and enhancing the value of historical and cultural resources, to break the path dependence and move towards sustainable development.
{"title":"Explaining the transmission mechanism of social-ecological systems adaptive cycling on path dependency in resource-based cities: Evidence from Shanxi Province, China","authors":"Min Wang ,&nbsp;Kongtao Qin ,&nbsp;Jinxuan Li ,&nbsp;Shuqi Yang","doi":"10.1016/j.sftr.2025.100449","DOIUrl":"10.1016/j.sftr.2025.100449","url":null,"abstract":"<div><div>Path dependence has resulted in industrial structure solidification, social structure convergence, and insufficient power for transformation and innovation in resource-based cities, which is the root cause of these cities falling into a locked state. For a long time, many theoretical insights and concepts have been generated from research on the phenomenon of path dependence in resource-based cities and resolve strategies. However, research on the factors causing the ‘resource curse’ in process and their transmission mechanisms remain incomplete. In particular, the value of the social-ecological systems’ mechanism in enhancing resilience requires further emphasis. In this paper, the adaptive cyclic evolution characteristics of the social-ecological systems in Shanxi Province were examined based on the implementation of industrial green transformation policies from 2006 to 2020, and the limiting factors and transmission mechanisms were identified. The results indicated that industrial transformation policies significantly enhance potential and resilience. In contrast, investment in social and human capital, technological innovation, social infrastructure, urban cultural values, and service capacity promote advancement in the adaptive cycle. Furthermore, based on differences in the timing of these advancements, resource-based cities were categorized into development-stopping, normal development, and leapfrog development. We conclude with some strategies, including improving social infrastructure, raising scientific and technological standards, narrowing the urban-rural divide, and enhancing the value of historical and cultural resources, to break the path dependence and move towards sustainable development.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100449"},"PeriodicalIF":3.3,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of cutting-edge hybrid electric vehicle technological innovation on carbon emissions in China
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.sftr.2025.100447
Xiang Zhang , Xiaoyang Cui
This study explores the impact of hybrid electric vehicle technology innovation on China's carbon emissions (CO2e). Using Fully Modified Ordinary Least Squares and Dynamic Ordinary Least Squares, our econometric analysis shows that a 1 % increase in IHEVTs corresponds to a 0.17 % reduction in CO2e. In comparison, a 1 % increase in the green digital economy is associated with a 0.31 % decrease in CO2e. This emphasizes the role of innovation and digitalization in emission control. Expansionary fiscal policies and GDP growth boost CO2e by 0.34 % and 0.31 %, respectively, underscoring the environmental impact of economic expansion. Conversely, contractionary fiscal policies and renewable energy consumption lead to CO2e declines of 0.46 % and 0.31 %, highlighting the importance of prudent policies. These findings demonstrate the synergistic impact of technological innovation and policy on China's emissions, providing essential perspectives for achieving long-term growth.
{"title":"Impact of cutting-edge hybrid electric vehicle technological innovation on carbon emissions in China","authors":"Xiang Zhang ,&nbsp;Xiaoyang Cui","doi":"10.1016/j.sftr.2025.100447","DOIUrl":"10.1016/j.sftr.2025.100447","url":null,"abstract":"<div><div>This study explores the impact of hybrid electric vehicle technology innovation on China's carbon emissions (CO<sub>2</sub>e). Using Fully Modified Ordinary Least Squares and Dynamic Ordinary Least Squares, our econometric analysis shows that a 1 % increase in IHEVTs corresponds to a 0.17 % reduction in CO<sub>2</sub>e. In comparison, a 1 % increase in the green digital economy is associated with a 0.31 % decrease in CO<sub>2</sub>e. This emphasizes the role of innovation and digitalization in emission control. Expansionary fiscal policies and GDP growth boost CO<sub>2</sub>e by 0.34 % and 0.31 %, respectively, underscoring the environmental impact of economic expansion. Conversely, contractionary fiscal policies and renewable energy consumption lead to CO<sub>2</sub>e declines of 0.46 % and 0.31 %, highlighting the importance of prudent policies. These findings demonstrate the synergistic impact of technological innovation and policy on China's emissions, providing essential perspectives for achieving long-term growth.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100447"},"PeriodicalIF":3.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Agricultural waste recycling by farmers: A behavioral study
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.sftr.2025.100443
Pouria Ataei , Hamid Karimi , Zeynab Hallaj , Meysam Menatizadeh
Agricultural waste recycling is one of the principles of environmental sustainability that is directly associated with farmers’ behavior. In other words, if a farmer decides to recycle her farm wastes, she is moving towards sustainable agriculture goals. This research aimed to explore farmers’ behavioral process for agricultural waste recycling based on the Comprehensive Action Determination Model (CADM). This research was done among farmers in Sistan and Baluchistan province, Iran (N = 6000). The study sample included 361 farmers selected by stratified randomization. The measurement instrument was a self-designed questionnaire. The collected data were analyzed in the SPSS26 and AMOS24 software suites. The results of structural equation modeling (SEM) revealed that farmers’ attitude, social norms, control of subjective constraints, control of objective constraints, and personal norms influenced their intention for agricultural waste recycling significantly. It can be concluded that CADM is a robust instrument for predicting farmers’ behavioral process for agricultural waste recycling, and policymakers and officials of the agricultural sector can use it to enhance farmers’ decision process.
{"title":"Agricultural waste recycling by farmers: A behavioral study","authors":"Pouria Ataei ,&nbsp;Hamid Karimi ,&nbsp;Zeynab Hallaj ,&nbsp;Meysam Menatizadeh","doi":"10.1016/j.sftr.2025.100443","DOIUrl":"10.1016/j.sftr.2025.100443","url":null,"abstract":"<div><div>Agricultural waste recycling is one of the principles of environmental sustainability that is directly associated with farmers’ behavior. In other words, if a farmer decides to recycle her farm wastes, she is moving towards sustainable agriculture goals. This research aimed to explore farmers’ behavioral process for agricultural waste recycling based on the Comprehensive Action Determination Model (CADM). This research was done among farmers in Sistan and Baluchistan province, Iran (N = 6000). The study sample included 361 farmers selected by stratified randomization. The measurement instrument was a self-designed questionnaire. The collected data were analyzed in the SPSS<sub>26</sub> and AMOS<sub>24</sub> software suites. The results of structural equation modeling (SEM) revealed that farmers’ attitude, social norms, control of subjective constraints, control of objective constraints, and personal norms influenced their intention for agricultural waste recycling significantly. It can be concluded that CADM is a robust instrument for predicting farmers’ behavioral process for agricultural waste recycling, and policymakers and officials of the agricultural sector can use it to enhance farmers’ decision process.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100443"},"PeriodicalIF":3.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unlocking the metaverse: Determinants of voluntary adoption in e-commerce
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-16 DOI: 10.1016/j.sftr.2025.100436
Radka Bauerová, Michal Halaška
Acceptance hinges on various conditions, influenced by purpose. Different purposes dictate user acceptance factors. Some relate to professional necessity, others to personal tech adoption. This study focusses on voluntary metaverse adoption for product purchase and discerning determinants. The aim of this research is to explore and delineate the determinants that shape the intention to use the metaverse, with a focus on voluntary adoption for product purchase. Using a questionnaire, the study collected primary data from 508 respondents after meticulous data cleaning. Structural equation modelling tested the proposed model, revealing the determinants driving metaverse purchase intent. An artificial neural network probed complex relationships. The results show an indirect impact of Avatar options and virtual economy, with Attitude and Marketing communication and data collection directly influencing. In addition, trust and responsibility, along with security and privacy, emerged as moderating factors in certain relationships. The study emphasises marketing's strong impact on metaverse purchase intention, indicating significant corporate-consumer potential. Additionally, avatar display options emerged as the second strongest determinant, underscoring users' desire for extensive avatar customisation as a channel for self-expression.
{"title":"Unlocking the metaverse: Determinants of voluntary adoption in e-commerce","authors":"Radka Bauerová,&nbsp;Michal Halaška","doi":"10.1016/j.sftr.2025.100436","DOIUrl":"10.1016/j.sftr.2025.100436","url":null,"abstract":"<div><div>Acceptance hinges on various conditions, influenced by purpose. Different purposes dictate user acceptance factors. Some relate to professional necessity, others to personal tech adoption. This study focusses on voluntary metaverse adoption for product purchase and discerning determinants. The aim of this research is to explore and delineate the determinants that shape the intention to use the metaverse, with a focus on voluntary adoption for product purchase. Using a questionnaire, the study collected primary data from 508 respondents after meticulous data cleaning. Structural equation modelling tested the proposed model, revealing the determinants driving metaverse purchase intent. An artificial neural network probed complex relationships. The results show an indirect impact of Avatar options and virtual economy, with Attitude and Marketing communication and data collection directly influencing. In addition, trust and responsibility, along with security and privacy, emerged as moderating factors in certain relationships. The study emphasises marketing's strong impact on metaverse purchase intention, indicating significant corporate-consumer potential. Additionally, avatar display options emerged as the second strongest determinant, underscoring users' desire for extensive avatar customisation as a channel for self-expression.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100436"},"PeriodicalIF":3.3,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Environmental tax reform roles and strategies of local governments: A quasi-natural experiment from China
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-15 DOI: 10.1016/j.sftr.2025.100453
Tianyang Chu
Whether environmental tax reform can drive green economic transformation is closely related to local government behavior. This study examines the impact of environmental tax reform on local governments using panel data for 247 Chinese prefecture-level cities from 2011 to 2021 and the difference-in-differences method. It finds that environmental tax reform leads local governments to increase environmental supervision and fiscal technology expenditure. A mechanism analysis shows that environmental tax reform increases local governments’ motivation to promote green innovation through target adjustments and public environmental demands. Heterogeneity analyses indicate that environmental tax reform has a stronger effect on increasing environmental supervision and fiscal technology expenditure in high-growth- and high-environmental-pressure cities, and northern cities. Expansion analyses show that although environmental tax reform inhibits overall market segmentation, it is more significant in southern cities and insignificant in northern cities. Finally, with active local government cooperation, environmental tax reform could reduce pollution emissions and promote green economic transformation.
{"title":"Environmental tax reform roles and strategies of local governments: A quasi-natural experiment from China","authors":"Tianyang Chu","doi":"10.1016/j.sftr.2025.100453","DOIUrl":"10.1016/j.sftr.2025.100453","url":null,"abstract":"<div><div>Whether environmental tax reform can drive green economic transformation is closely related to local government behavior. This study examines the impact of environmental tax reform on local governments using panel data for 247 Chinese prefecture-level cities from 2011 to 2021 and the difference-in-differences method. It finds that environmental tax reform leads local governments to increase environmental supervision and fiscal technology expenditure. A mechanism analysis shows that environmental tax reform increases local governments’ motivation to promote green innovation through target adjustments and public environmental demands. Heterogeneity analyses indicate that environmental tax reform has a stronger effect on increasing environmental supervision and fiscal technology expenditure in high-growth- and high-environmental-pressure cities, and northern cities. Expansion analyses show that although environmental tax reform inhibits overall market segmentation, it is more significant in southern cities and insignificant in northern cities. Finally, with active local government cooperation, environmental tax reform could reduce pollution emissions and promote green economic transformation.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100453"},"PeriodicalIF":3.3,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Equitable technology development: A framework and methods for scientists and engineers
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-15 DOI: 10.1016/j.sftr.2025.100451
Jonathan Ensor , Steven Johnson , Daniel Vorbach , James Moir
Equity requires a rethinking of the processes and methods that applied scientists and engineers work through as they develop solutions that are simultaneously technical and social. By bridging insights from science and technology studies with critical analysis of participatory development practice, we propose a framework for understanding equitable technology development. We explore this through an illustrative case of water monitoring technology development, undertaken with scientists, engineers and communities in Vanuatu. Analysis suggests a typology of five methodological considerations that are significant for the practice of equitable technology development, locating equitable technology development as both a technical and an ethical challenge.
{"title":"Equitable technology development: A framework and methods for scientists and engineers","authors":"Jonathan Ensor ,&nbsp;Steven Johnson ,&nbsp;Daniel Vorbach ,&nbsp;James Moir","doi":"10.1016/j.sftr.2025.100451","DOIUrl":"10.1016/j.sftr.2025.100451","url":null,"abstract":"<div><div>Equity requires a rethinking of the processes and methods that applied scientists and engineers work through as they develop solutions that are simultaneously technical and social. By bridging insights from science and technology studies with critical analysis of participatory development practice, we propose a framework for understanding equitable technology development. We explore this through an illustrative case of water monitoring technology development, undertaken with scientists, engineers and communities in Vanuatu. Analysis suggests a typology of five methodological considerations that are significant for the practice of equitable technology development, locating equitable technology development as both a technical and an ethical challenge.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100451"},"PeriodicalIF":3.3,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Like snow in the sun: Government's environmental attention and the withdrawal of polluting firms
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-14 DOI: 10.1016/j.sftr.2025.100452
Mengjie Li, Weijian Du
Based on the heterogeneous firm theory, this study uses text analysis and microeconometric methods such as a two-way fixed-effect model, a subsample regression and an interactive term regression to investigate the influence of local government's environmental attention on the withdrawal of polluting firms. Research shows that such attention can accelerate the latter by increasing the severity of environmental regulations, reducing government subsidies and increasing technological innovation. Additionally, the influence of such attention on the exit of polluting firms weakens as market concentration, official corruption and fiscal decentralization increase. This study introduces government's environmental attention and explores its internal mechanisms and external factors, thus improving the framework of environmental governance and helping to understand the “black box” of environmental policy.
{"title":"Like snow in the sun: Government's environmental attention and the withdrawal of polluting firms","authors":"Mengjie Li,&nbsp;Weijian Du","doi":"10.1016/j.sftr.2025.100452","DOIUrl":"10.1016/j.sftr.2025.100452","url":null,"abstract":"<div><div>Based on the heterogeneous firm theory, this study uses text analysis and microeconometric methods such as a two-way fixed-effect model, a subsample regression and an interactive term regression to investigate the influence of local government's environmental attention on the withdrawal of polluting firms. Research shows that such attention can accelerate the latter by increasing the severity of environmental regulations, reducing government subsidies and increasing technological innovation. Additionally, the influence of such attention on the exit of polluting firms weakens as market concentration, official corruption and fiscal decentralization increase. This study introduces government's environmental attention and explores its internal mechanisms and external factors, thus improving the framework of environmental governance and helping to understand the “black box” of environmental policy.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100452"},"PeriodicalIF":3.3,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Farmers’ attitude towards green ammonia produced by upcycling waste nitrogen: Empirical evidence from an Iowa study
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-14 DOI: 10.1016/j.sftr.2025.100450
Yu Wang , Wenzhen Li , Shuang Gu
This study examines farmers' acceptance of green ammonia produced by upcycling waste nitrogen using renewable energy. A mail survey, targeting a random sample of crop growers in Iowa, USA, found moderately high acceptance: about 50 % support green ammonia as a fertilizer and 32 % support green ammonia as a fuel. Support for green hydrogen is only 17 % (24 % opposing), demonstrating a preference of the 2nd-generation over the 1st-generation technologies. Ordinal logistic regression reveals social and psychological factors affecting attitude, including income, ideology, perceived benefit, ammonia usage, trust in science and technology, personal belief in reducing waste nitrogen, and social norm.
{"title":"Farmers’ attitude towards green ammonia produced by upcycling waste nitrogen: Empirical evidence from an Iowa study","authors":"Yu Wang ,&nbsp;Wenzhen Li ,&nbsp;Shuang Gu","doi":"10.1016/j.sftr.2025.100450","DOIUrl":"10.1016/j.sftr.2025.100450","url":null,"abstract":"<div><div>This study examines farmers' acceptance of green ammonia produced by upcycling waste nitrogen using renewable energy. A mail survey, targeting a random sample of crop growers in Iowa, USA, found moderately high acceptance: about 50 % support green ammonia as a fertilizer and 32 % support green ammonia as a fuel. Support for green hydrogen is only 17 % (24 % opposing), demonstrating a preference of the 2nd-generation over the 1st-generation technologies. Ordinal logistic regression reveals social and psychological factors affecting attitude, including income, ideology, perceived benefit, ammonia usage, trust in science and technology, personal belief in reducing waste nitrogen, and social norm.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100450"},"PeriodicalIF":3.3,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-13 DOI: 10.1016/j.sftr.2025.100439
Cosimo Magazzino , Zakaria Zoundi
This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 ("Climate Action"), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. The innovative use of ANNs allows for capturing complex and non-linear interactions among sustainability indicators, surpassing traditional linear models. A key component of the research is the application of Garson's algorithm, which identifies the relative importance of each of the seven indexes in influencing climate outcomes. The study optimizes the ANN's parameters through a grid search, ensuring robust and precise predictions. This research offers valuable insights for policymakers and researchers aiming to improve climate action strategies by providing a more nuanced understanding of the factors driving environmental performance. The findings demonstrate the potential of advanced AI techniques in refining sustainability assessments and guiding more effective environmental policies. Key policy insights drawn from the study include expanding interventions aimed at promoting more sustainable consumption and production policies, given the significant contribution of SDG 12 in driving climate goals; reviewing the methods for measuring economic growth to account for the planetary crises; and increasing the use of AI tools to guide policymaking.
{"title":"Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13","authors":"Cosimo Magazzino ,&nbsp;Zakaria Zoundi","doi":"10.1016/j.sftr.2025.100439","DOIUrl":"10.1016/j.sftr.2025.100439","url":null,"abstract":"<div><div>This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 (\"Climate Action\"), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. The innovative use of ANNs allows for capturing complex and non-linear interactions among sustainability indicators, surpassing traditional linear models. A key component of the research is the application of Garson's algorithm, which identifies the relative importance of each of the seven indexes in influencing climate outcomes. The study optimizes the ANN's parameters through a grid search, ensuring robust and precise predictions. This research offers valuable insights for policymakers and researchers aiming to improve climate action strategies by providing a more nuanced understanding of the factors driving environmental performance. The findings demonstrate the potential of advanced AI techniques in refining sustainability assessments and guiding more effective environmental policies. Key policy insights drawn from the study include expanding interventions aimed at promoting more sustainable consumption and production policies, given the significant contribution of SDG 12 in driving climate goals; reviewing the methods for measuring economic growth to account for the planetary crises; and increasing the use of AI tools to guide policymaking.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100439"},"PeriodicalIF":3.3,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stakeholders and sustainability disclosure: Evidence from an emerging market
IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-13 DOI: 10.1016/j.sftr.2025.100445
Inusah Sulemana , Limei Cheng , Andrew Osei Agyemang , Abednego Osei , Timothy Masuni Nagriwum
This study examines the relationship between stakeholders’ pressure and sustainability disclosure. This study used primary data from 214 participants from Ghana's mining and manufacturing firms. SmartPLS version 4 software was used to run the study's analysis following the Partial Least Square Structural Equation Modeling (PLS-SEM) approach. This study's results revealed that pressures from stakeholders (government, shareholders, and customers) significantly influence green technological innovation and sustainability disclosure. Additionally, green technological innovation mediates the relationships between government, shareholder, and customer pressure and sustainability disclosure. Additionally, corporate culture partially moderates the relationships between stakeholders’ (shareholder and customer) pressure and sustainability disclosure.
{"title":"Stakeholders and sustainability disclosure: Evidence from an emerging market","authors":"Inusah Sulemana ,&nbsp;Limei Cheng ,&nbsp;Andrew Osei Agyemang ,&nbsp;Abednego Osei ,&nbsp;Timothy Masuni Nagriwum","doi":"10.1016/j.sftr.2025.100445","DOIUrl":"10.1016/j.sftr.2025.100445","url":null,"abstract":"<div><div>This study examines the relationship between stakeholders’ pressure and sustainability disclosure. This study used primary data from 214 participants from Ghana's mining and manufacturing firms. SmartPLS version 4 software was used to run the study's analysis following the Partial Least Square Structural Equation Modeling (PLS-SEM) approach. This study's results revealed that pressures from stakeholders (government, shareholders, and customers) significantly influence green technological innovation and sustainability disclosure. Additionally, green technological innovation mediates the relationships between government, shareholder, and customer pressure and sustainability disclosure. Additionally, corporate culture partially moderates the relationships between stakeholders’ (shareholder and customer) pressure and sustainability disclosure.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100445"},"PeriodicalIF":3.3,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Sustainable Futures
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1