The integration of artificial intelligence into global diplomacy presents opportunities and challenges that require thorough exploration. This research is crucial for understanding how AI can transform diplomatic practices, enhance decision-making, and address complex international issues. We examined AI models relevant to diplomacy, including predictive models for economic growth and data analytics for trade. Our review highlights recent advancements in AI within diplomatic contexts. Through case studies, we demonstrated AI's application in consular services, crisis management, and public diplomacy, showcasing its benefits and potential risks. We hope this paper contributes valuable insights and supports future research in AI's role in diplomacy.
{"title":"Applications of artificial intelligence in global diplomacy: A review of research and practical models","authors":"Hamidreza Mostafaei , Shirin Kordnoori , Mohammadmohsen Ostadrahimi , Saeed Seyed Agha Banihashemi","doi":"10.1016/j.sftr.2025.100486","DOIUrl":"10.1016/j.sftr.2025.100486","url":null,"abstract":"<div><div>The integration of artificial intelligence into global diplomacy presents opportunities and challenges that require thorough exploration. This research is crucial for understanding how AI can transform diplomatic practices, enhance decision-making, and address complex international issues. We examined AI models relevant to diplomacy, including predictive models for economic growth and data analytics for trade. Our review highlights recent advancements in AI within diplomatic contexts. Through case studies, we demonstrated AI's application in consular services, crisis management, and public diplomacy, showcasing its benefits and potential risks. We hope this paper contributes valuable insights and supports future research in AI's role in diplomacy.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100486"},"PeriodicalIF":3.3,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421388","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}
Pub Date : 2025-02-07DOI: 10.1016/j.sftr.2025.100483
Arifa Jannat , Md. Monirul Islam , Kentaka Aruga
Sustainable tourism is a key driver of economic growth in G-7 countries, contributing significantly to gross domestic product (GDP) and employment. However, its rapid expansion raises concerns about environmental impact, including CO2 emissions and resource consumption, while globalization and green technology offer both challenges and opportunities for sustainable growth. This study explores the dynamic relationship between climate change, economic growth, green technology, globalization, government effectiveness, and tourism growth in G-7 countries from 1996 to 2019, providing new insights into the dynamics of sustainable tourism. Using the cross-sectional autoregressive distributed lag (CS-ARDL) model and panel data techniques, the findings reveal that GDP and green technology innovations positively impact sustainable tourism growth, while CO2 emissions hinder it. Specifically, a 1% increase in GDP and green innovations boost sustainable tourism by 0.83% and 4.71%, respectively, while higher emissions reduce growth by 0.77%. The research emphasizes the importance of economic development and green technology for fostering sustainable tourism in G-7 nations.
{"title":"Revealing the interrelationship of economic, environmental, and social factors with globalization in G-7 countries tourism growth: A CS-ARDL approach","authors":"Arifa Jannat , Md. Monirul Islam , Kentaka Aruga","doi":"10.1016/j.sftr.2025.100483","DOIUrl":"10.1016/j.sftr.2025.100483","url":null,"abstract":"<div><div>Sustainable tourism is a key driver of economic growth in G-7 countries, contributing significantly to gross domestic product (GDP) and employment. However, its rapid expansion raises concerns about environmental impact, including CO<sub>2</sub> emissions and resource consumption, while globalization and green technology offer both challenges and opportunities for sustainable growth. This study explores the dynamic relationship between climate change, economic growth, green technology, globalization, government effectiveness, and tourism growth in G-7 countries from 1996 to 2019, providing new insights into the dynamics of sustainable tourism. Using the cross-sectional autoregressive distributed lag (CS-ARDL) model and panel data techniques, the findings reveal that GDP and green technology innovations positively impact sustainable tourism growth, while CO<sub>2</sub> emissions hinder it. Specifically, a 1% increase in GDP and green innovations boost sustainable tourism by 0.83% and 4.71%, respectively, while higher emissions reduce growth by 0.77%. The research emphasizes the importance of economic development and green technology for fostering sustainable tourism in G-7 nations.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100483"},"PeriodicalIF":3.3,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395808","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}
Pub Date : 2025-02-06DOI: 10.1016/j.sftr.2025.100480
Jaime Santos-Reyes
The paper presents the results of an analysis of the 2024 Global IT Outage (GITO) disruptive event that occurred on 19 July 2024, causing worldwide disruptions to air travel, health, systems, among others. The UK critical infrastructure systems (CIs) have been used as a case study in the present analysis. The employed approach has been the use of a systemic safety management system (SSMS) model. Some key findings: a) Transport (Air travel) and health CIs were fragile to the event, b). Energy, water, and food CIs exhibited robustness. The energy sector's robustness has to do with its inhouse-software system and its no dependency on the CrowdStrike's software; water and food seem not to be having a strong dependence on the software; however, it is unclear whether this could have been maintained had the emergency lasted for more days or months, c). The GITO disruption effects varied within the CI system, e.g., transport, and financing sectors. Some key conclusions: a). Robustness to disruptive events such as the present case study requires CIs in-house technologies or back-up systems; b). Due to interdependencies, a robust subsystem within a CI system is not enough to withstand a disruptive event, i.e., it still will be fragile; c). Decision-makers should plan for unexpected events; d). The employed model has the potential to modelling interdependence among CIs. More research is needed on the analysis of events such as the presented here-in to learn from these and further enhance the existing knowledge on disruptive events on CIs.
{"title":"Planning for the unexpected: Exploring the 2024 Global IT Outage (GITO) impact on critical infrastructures","authors":"Jaime Santos-Reyes","doi":"10.1016/j.sftr.2025.100480","DOIUrl":"10.1016/j.sftr.2025.100480","url":null,"abstract":"<div><div>The paper presents the results of an analysis of the 2024 Global IT Outage (GITO) disruptive event that occurred on 19 July 2024, causing worldwide disruptions to air travel, health, systems, among others. The UK critical infrastructure systems (CIs) have been used as a case study in the present analysis. The employed approach has been the use of a systemic safety management system (SSMS) model. Some key findings: a) Transport (Air travel) and health CIs were fragile to the event, b). Energy, water, and food CIs exhibited robustness. The energy sector's robustness has to do with its inhouse-software system and its no dependency on the CrowdStrike's software; water and food seem not to be having a strong dependence on the software; however, it is unclear whether this could have been maintained had the emergency lasted for more days or months, c). The GITO disruption effects varied within the CI system, e.g., transport, and financing sectors. Some key conclusions: a). Robustness to disruptive events such as the present case study requires CIs in-house technologies or back-up systems; b). Due to interdependencies, a robust subsystem within a CI system is not enough to withstand a disruptive event, i.e., it still will be fragile; c). Decision-makers should plan for unexpected events; d). The employed model has the potential to modelling interdependence among CIs. More research is needed on the analysis of events such as the presented here-in to learn from these and further enhance the existing knowledge on disruptive events on CIs.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100480"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376868","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}
Pub Date : 2025-02-06DOI: 10.1016/j.sftr.2025.100482
Yuxiu Chen , Shiqi Yang , Jian Yu , Xiaoli Zhang , Da Zhang
It is essential for airports to identify potentially significant risks in order to mitigate the impact of climate change. However, the climate change risks encountered by different airports vary based on their geographical contexts. This study focuses on coastal airports, which are particularly vulnerable, and provides an informational tool for assessing risk by developing a comprehensive index framework and introducing a fuzzy matter-element model. Subsequently, Hong Kong International Airport was used as a case study. Among all the evaluated dimensions, the level of exposure risk is the highest, indicating the need to prioritize adaptation actions for risk receptors.
{"title":"Climate change risk assessment of coastal airports from the perspective of adaptation","authors":"Yuxiu Chen , Shiqi Yang , Jian Yu , Xiaoli Zhang , Da Zhang","doi":"10.1016/j.sftr.2025.100482","DOIUrl":"10.1016/j.sftr.2025.100482","url":null,"abstract":"<div><div>It is essential for airports to identify potentially significant risks in order to mitigate the impact of climate change. However, the climate change risks encountered by different airports vary based on their geographical contexts. This study focuses on coastal airports, which are particularly vulnerable, and provides an informational tool for assessing risk by developing a comprehensive index framework and introducing a fuzzy matter-element model. Subsequently, Hong Kong International Airport was used as a case study. Among all the evaluated dimensions, the level of exposure risk is the highest, indicating the need to prioritize adaptation actions for risk receptors.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100482"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387664","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}
Pub Date : 2025-02-04DOI: 10.1016/j.sftr.2025.100476
Gemma Smith , Jonathan Atkins , Amanda Gregory , Michael Elliott
The marine environment is a complex adaptive system, in which natural components interact with pressures from human activities and climate change. Effective marine management must navigate this complexity to protect biodiversity and ensure societal benefits. Increasingly, it is recognised that a functional, integrated approach is essential for sustainable management. This paper presents a comprehensive interrogation of nine existing Social-Ecological System (SES) frameworks, aiming to learn from these and identify the most suitable approach for managing the complex and adaptive nature of marine systems. Through a rigorous SWOT analysis and the application of appropriate characteristics criteria derived from the Ecosystem Approach principles, we evaluate various frameworks potential for operationalising ecosystem-based marine management. Key attributes such as holism, resilience, cross-scale interactions, stakeholder involvement, and adaptive learning emerge as critical to effective marine management. Our analysis reveals that while no single framework is perfect, the Integrated Systems Analysis (ISA) demonstrates the potential due to its holistic approach, explicit learning design, stakeholder inclusion, and proven application in marine and coastal contexts. Nonetheless, recognising ISA's limitations, we propose integrating elements from other frameworks and Systems Thinking tools to create a refined, practical approach termed ‘Simple SES.’ The resulting ‘Simple SES’ aims to provide a tailored, yet manageable approach for practitioners, deciphering the complexity of marine systems and supporting well-informed decision-making. This work advances SES theory and practice, developing an operationalised framework that aligns with the goals of sustainable and successful marine management thereby making ecosystem-based management more achievable and integrative by applying a systems approach.
{"title":"The minimum complexity necessary: The value of a simple Social-Ecological systems analysis in holistic marine environmental management","authors":"Gemma Smith , Jonathan Atkins , Amanda Gregory , Michael Elliott","doi":"10.1016/j.sftr.2025.100476","DOIUrl":"10.1016/j.sftr.2025.100476","url":null,"abstract":"<div><div>The marine environment is a complex adaptive system, in which natural components interact with pressures from human activities and climate change. Effective marine management must navigate this complexity to protect biodiversity and ensure societal benefits. Increasingly, it is recognised that a functional, integrated approach is essential for sustainable management. This paper presents a comprehensive interrogation of nine existing Social-Ecological System (SES) frameworks, aiming to learn from these and identify the most suitable approach for managing the complex and adaptive nature of marine systems. Through a rigorous SWOT analysis and the application of appropriate characteristics criteria derived from the Ecosystem Approach principles, we evaluate various frameworks potential for operationalising ecosystem-based marine management. Key attributes such as holism, resilience, cross-scale interactions, stakeholder involvement, and adaptive learning emerge as critical to effective marine management. Our analysis reveals that while no single framework is perfect, the Integrated Systems Analysis (ISA) demonstrates the potential due to its holistic approach, explicit learning design, stakeholder inclusion, and proven application in marine and coastal contexts. Nonetheless, recognising ISA's limitations, we propose integrating elements from other frameworks and Systems Thinking tools to create a refined, practical approach termed ‘Simple SES.’ The resulting ‘Simple SES’ aims to provide a tailored, yet manageable approach for practitioners, deciphering the complexity of marine systems and supporting well-informed decision-making. This work advances SES theory and practice, developing an operationalised framework that aligns with the goals of sustainable and successful marine management thereby making ecosystem-based management more achievable and integrative by applying a systems approach.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100476"},"PeriodicalIF":3.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421387","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}
Pub Date : 2025-02-04DOI: 10.1016/j.sftr.2025.100478
Jinda Wen, Yi Zhou
A more comprehensive understanding of the impact of trade openness on green innovation can help to advance sustainable development of economic growth and environmental protection simultaneously. Therefore, using panel data from 277 Chinese cities from 2009 to 2022, and based on the dual perspectives of financial agglomeration and human capital accumulation and the moderating role of environmental regulation, this study provides an in depth analysis of the bidirectional impacts of trade openness on the quantity and quality of green innovation in cities from multiple perspectives. The relevant findings are fourfold. (1) Trade openness significantly promotes the quantity and quality of green innovation, and the conclusions remain robust following a series of tests for validity and endogeneity. (2) Heterogeneity analysis demonstrates that the impact of trade openness on overall green innovation is more significant for export-trading cities, inland cities, resource-based cities, and nonenvironmental protection priority cities. (3) Mechanism analysis indicates that trade openness enhances overall urban green innovation by promoting regional financial agglomeration and human capital accumulation. (4) Moderating effect tests demonstrate that environmental regulation positively influences the relationship between trade openness and green innovation. Specifically, the positive impact of trade openness on green innovation is more pronounced in environments with stricter regulations. These results provide valuable insights for promoting China's increased openness to the outside world and advancing global Sustainable Development Goals.
{"title":"Trade openness and urban green innovation: A dual perspective based on financial agglomeration and human capital accumulation","authors":"Jinda Wen, Yi Zhou","doi":"10.1016/j.sftr.2025.100478","DOIUrl":"10.1016/j.sftr.2025.100478","url":null,"abstract":"<div><div>A more comprehensive understanding of the impact of trade openness on green innovation can help to advance sustainable development of economic growth and environmental protection simultaneously. Therefore, using panel data from 277 Chinese cities from 2009 to 2022, and based on the dual perspectives of financial agglomeration and human capital accumulation and the moderating role of environmental regulation, this study provides an in depth analysis of the bidirectional impacts of trade openness on the quantity and quality of green innovation in cities from multiple perspectives. The relevant findings are fourfold. (1) Trade openness significantly promotes the quantity and quality of green innovation, and the conclusions remain robust following a series of tests for validity and endogeneity. (2) Heterogeneity analysis demonstrates that the impact of trade openness on overall green innovation is more significant for export-trading cities, inland cities, resource-based cities, and nonenvironmental protection priority cities. (3) Mechanism analysis indicates that trade openness enhances overall urban green innovation by promoting regional financial agglomeration and human capital accumulation. (4) Moderating effect tests demonstrate that environmental regulation positively influences the relationship between trade openness and green innovation. Specifically, the positive impact of trade openness on green innovation is more pronounced in environments with stricter regulations. These results provide valuable insights for promoting China's increased openness to the outside world and advancing global Sustainable Development Goals.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100478"},"PeriodicalIF":3.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395807","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}
Pub Date : 2025-02-04DOI: 10.1016/j.sftr.2025.100472
Ibrahim Alrashdi , Ahmed M. Ali , Karam M. Sallam , Mohamed Abdel-Basset
The transportation system has the most considerable negative impacts on the environment due to greenhouse gas (GHG) emissions, so various governments seek to reduce GHG emissions by using the best alternative vehicle technologies in the transportation system. This paper presents a framework for selecting the best alternative vehicle technology in Egypt to reduce the emission of GHG toward sustainability. Multi-criteria decision-making (MCDM) is used to deal with various conflicting criteria. This paper uses two MCDM methods: stepwise weight assessment ratio analysis (SWARA) and root assessment method (RAM). This study extends the SWARA and RAM methods under single-valued neutrosophic sets (SVNSs). The SVN-SWARA method is used to compute the criteria weights, and the SVN-RAM method is used to rank the alternatives. This study used seven main criteria, 40 sub-criteria, and 12 alternative vehicle technologies. The results in weights of criteria show that social criterion has the highest importance, and the market criterion has the lowest importance. The results in the rank of alternatives show the Electric vehicles (alternative) are the best choice for GHG emission reduction and for achieving sustainability in the transportation system in Egypt. The sensitivity and comparative analysis showed that the rank of alternatives is stable under different scenarios and that the proposed methodology is effective.
{"title":"Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy","authors":"Ibrahim Alrashdi , Ahmed M. Ali , Karam M. Sallam , Mohamed Abdel-Basset","doi":"10.1016/j.sftr.2025.100472","DOIUrl":"10.1016/j.sftr.2025.100472","url":null,"abstract":"<div><div>The transportation system has the most considerable negative impacts on the environment due to greenhouse gas (GHG) emissions, so various governments seek to reduce GHG emissions by using the best alternative vehicle technologies in the transportation system. This paper presents a framework for selecting the best alternative vehicle technology in Egypt to reduce the emission of GHG toward sustainability. Multi-criteria decision-making (MCDM) is used to deal with various conflicting criteria. This paper uses two MCDM methods: stepwise weight assessment ratio analysis (SWARA) and root assessment method (RAM). This study extends the SWARA and RAM methods under single-valued neutrosophic sets (SVNSs). The SVN-SWARA method is used to compute the criteria weights, and the SVN-RAM method is used to rank the alternatives. This study used seven main criteria, 40 sub-criteria, and 12 alternative vehicle technologies. The results in weights of criteria show that social criterion has the highest importance, and the market criterion has the lowest importance. The results in the rank of alternatives show the Electric vehicles (alternative) are the best choice for GHG emission reduction and for achieving sustainability in the transportation system in Egypt. The sensitivity and comparative analysis showed that the rank of alternatives is stable under different scenarios and that the proposed methodology is effective.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100472"},"PeriodicalIF":3.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378638","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}
Pub Date : 2025-02-03DOI: 10.1016/j.sftr.2025.100479
Matali Mahajan, Dr. Ash Narayan Sah
Global CO₂ emissions and warming remain critical challenges worldwide, with emission reduction central to attaining the UN Sustainable Development Goals. This paper investigates the relationship between WTI prices, Inflation, CO2 emission, and GDP in India and China. Based on annual data spanning 1980–2019 for India and 1990–2019 for China, sourced from the “World Bank and Our World in Data” database, we investigate these interactions via a Structural Vector Autoregression framework, using impulse response functions and forecast error variance decomposition to map the effects. Our empirical analysis reveals positive links between WTI and Inflation in the long run, aligned with cost-push inflation concepts. A single innovative fluctuation in GDP increases CO₂ emissions, corroborating the Environmental Kuznets Curve's tenet. Our results indicate that neither country has reached peak CO₂ levels, suggesting continued challenges in balancing economic growth with sustainability goals. These insights highlight the need for policies that address short-term oil price volatility and support sustainable development.
{"title":"CO2 emissions response to GDP and crude oil price shocks: Evidence from India and China using SVAR Model","authors":"Matali Mahajan, Dr. Ash Narayan Sah","doi":"10.1016/j.sftr.2025.100479","DOIUrl":"10.1016/j.sftr.2025.100479","url":null,"abstract":"<div><div>Global CO₂ emissions and warming remain critical challenges worldwide, with emission reduction central to attaining the UN Sustainable Development Goals. This paper investigates the relationship between WTI prices, Inflation, CO<sub>2</sub> emission, and GDP in India and China. Based on annual data spanning 1980–2019 for India and 1990–2019 for China, sourced from the “World Bank and Our World in Data” database, we investigate these interactions via a Structural Vector Autoregression framework, using impulse response functions and forecast error variance decomposition to map the effects. Our empirical analysis reveals positive links between WTI and Inflation in the long run, aligned with cost-push inflation concepts. A single innovative fluctuation in GDP increases CO₂ emissions, corroborating the Environmental Kuznets Curve's tenet. Our results indicate that neither country has reached peak CO₂ levels, suggesting continued challenges in balancing economic growth with sustainability goals. These insights highlight the need for policies that address short-term oil price volatility and support sustainable development.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100479"},"PeriodicalIF":3.3,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350752","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}
Pub Date : 2025-02-01DOI: 10.1016/j.sftr.2025.100468
Xinyi Wang , Fenzhen Su , Fengqin Yan , Vincent Lyne , Yikun Cui , Bin He , Rong Fan
Land-use changes from rapid coastal urban expansion fragments ecosystems and reduces carbon storage. Current and future national urban policies must therefore enhance carbon sink functions of ecosystems while maintaining spatial ecological structure networks. Here, we assessed current policies against future scenarios using systems thinking and land-use change simulation coupled to carbon-storage accounting. Three future scenarios for Dongguan City across ecological Natural Evolution Scenario, economic Economic Priority Scenario and balanced Harmonious Development Scenario show latter partly controls carbon loss through more robust ecological networks. However, by 2030, all scenarios show construction land expanding sharply across cultivated land and grassland, and carbon storage declines. Future urban expansion therefore seriously challenges effectiveness of current spatial policies which must be enhanced for future low carbon urban developments and protection of associated ecosystem connectivities. This study analyzed the maintenance of habitat connectivity and carbon storage under different development policies during urbanization and discussed the significance of policies in maintaining the stability of urban ecological networks. With this effort, a new perspective on the maintenance of ecological security patterns is provided, serving as a fundamental reference for future urban planning decisions.
{"title":"Balancing on carbon storage and ecological security in urban areas: The case of Dongguan city, China","authors":"Xinyi Wang , Fenzhen Su , Fengqin Yan , Vincent Lyne , Yikun Cui , Bin He , Rong Fan","doi":"10.1016/j.sftr.2025.100468","DOIUrl":"10.1016/j.sftr.2025.100468","url":null,"abstract":"<div><div>Land-use changes from rapid coastal urban expansion fragments ecosystems and reduces carbon storage. Current and future national urban policies must therefore enhance carbon sink functions of ecosystems while maintaining spatial ecological structure networks. Here, we assessed current policies against future scenarios using systems thinking and land-use change simulation coupled to carbon-storage accounting. Three future scenarios for Dongguan City across ecological Natural Evolution Scenario, economic Economic Priority Scenario and balanced Harmonious Development Scenario show latter partly controls carbon loss through more robust ecological networks. However, by 2030, all scenarios show construction land expanding sharply across cultivated land and grassland, and carbon storage declines. Future urban expansion therefore seriously challenges effectiveness of current spatial policies which must be enhanced for future low carbon urban developments and protection of associated ecosystem connectivities. This study analyzed the maintenance of habitat connectivity and carbon storage under different development policies during urbanization and discussed the significance of policies in maintaining the stability of urban ecological networks. With this effort, a new perspective on the maintenance of ecological security patterns is provided, serving as a fundamental reference for future urban planning decisions.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100468"},"PeriodicalIF":3.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143369272","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}
The 2030 Agenda aims to reduce existing disparities, requiring the public sector, especially local governments, to align budgets with these goals. Thus, public spending is seen as a redistributive tool for achieving social equity. In this respect, distributional justice theory aims to ensure equal access to services, rights and protection, which is essential in social sustainability. Therefore, this study examines the impact of municipal public spending and other factors on achieving social Sustainable Development Goals (SDGs). The findings reveal that municipalities excelling in aid and subsidies through current transfers, with strong investment in human capital, broad political competition, a higher-educated population, robust social institutions, and lower debt levels, make the most progress in achieving social SDGs.
{"title":"The role of local public spending in the achievement of the social dimension of sustainable development: An empirical analysis","authors":"Natalia Alonso-Morales, Alejandro Sáez-Martín, Arturo Haro-de-Rosario","doi":"10.1016/j.sftr.2025.100475","DOIUrl":"10.1016/j.sftr.2025.100475","url":null,"abstract":"<div><div>The 2030 Agenda aims to reduce existing disparities, requiring the public sector, especially local governments, to align budgets with these goals. Thus, public spending is seen as a redistributive tool for achieving social equity. In this respect, distributional justice theory aims to ensure equal access to services, rights and protection, which is essential in social sustainability. Therefore, this study examines the impact of municipal public spending and other factors on achieving social Sustainable Development Goals (SDGs). The findings reveal that municipalities excelling in aid and subsidies through current transfers, with strong investment in human capital, broad political competition, a higher-educated population, robust social institutions, and lower debt levels, make the most progress in achieving social SDGs.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100475"},"PeriodicalIF":3.3,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143369271","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}
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