Sustainable Futures最新文献_第3页

The impact of the digital economy on the real economy: promoting or crowding out? Empirical evidence from urban China 数字经济对实体经济的影响：促进还是挤出？来自中国城市的经验证据

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-18 DOI: 10.1016/j.sftr.2025.100882

Yuting Wang , Ya Bu , Xinghui Yu , Yinhui Ma , Hui Li

{"title":"The impact of the digital economy on the real economy: promoting or crowding out? Empirical evidence from urban China","authors":"Yuting Wang , Ya Bu , Xinghui Yu , Yinhui Ma , Hui Li","doi":"10.1016/j.sftr.2025.100882","DOIUrl":"10.1016/j.sftr.2025.100882","url":null,"abstract":"<div><div>Based on the sample data of 285 cities at the prefecture level and above in China, this paper uses the fixed-effect model, mediation effect model, and spatial Durbin model to empirically test the impact of the digital economy on the development of the real economy and its internal mechanisms in multiple dimensions. The study shows that the digital economy has already had a significant crowding-out effect on the development of the real economy. This conclusion is valid after using instrumental variables and introducing \"Broadband China\" policy shocks. The eastern region is more crowded out by the digital economy than the central and western regions, and the negative impact on underdeveloped cities is more significant than on developed cities. The analysis of the mechanism of action shows that industrial restructuring is essential for the digital economy to squeeze the development of the real economy. The digital economy has a negative spillover effect on the development of the real economy in the surrounding areas. This paper concludes that it is enlightening to rationally develop the digital economy and avoid the economic derealization to virtuality.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100882"},"PeriodicalIF":3.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of innovation policy and intellectual property judicial system on manufacturing corporate exploitative and exploratory innovation 创新政策与知识产权司法制度对制造业企业探索性创新的影响

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-18 DOI: 10.1016/j.sftr.2025.100886

Bing Sun , Jian Li , Tao Xia

{"title":"The impact of innovation policy and intellectual property judicial system on manufacturing corporate exploitative and exploratory innovation","authors":"Bing Sun , Jian Li , Tao Xia","doi":"10.1016/j.sftr.2025.100886","DOIUrl":"10.1016/j.sftr.2025.100886","url":null,"abstract":"<div><div>We estimate how innovation policy and intellectual property judicial system adopted by the Chinese government since the 21st century, intellectual property demonstration cities (IP-City) and intellectual property courts (IP-Court), have affected manufacturing corporate exploitative and exploratory innovation. Empirically, we conduct the analysis based on panel data for 853 A-shared listed manufacturing corporations from 2010–2021 of China and difference-in-differences model. The findings indicate that IP-City and IP-Court contributed to increases in corporate exploratory innovation of approximately 14.6 % and 13.1 %, respectively, and that the two policies had complementary effects. However, the two policies do not significantly incentivize exploratory innovation. Alleviating financing constraints is an important mechanism for the IP-City policy. For corporations with better ESG performance, lower management power strength, located in the central and western regions, in high-tech industries, and in nonpolluting industries, the two policies had more pronounced effects.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100886"},"PeriodicalIF":3.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multicriteria decision-making framework for robust energy management AI solutions 强大的能源管理AI解决方案的多标准决策框架

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-17 DOI: 10.1016/j.sftr.2025.100822

Salem Garfan , A.H. Alamoodi , Suliana Sulaiman , O.S. Albahri , A.S. Albahri , Iman Mohamad Sharaf

{"title":"Multicriteria decision-making framework for robust energy management AI solutions","authors":"Salem Garfan , A.H. Alamoodi , Suliana Sulaiman , O.S. Albahri , A.S. Albahri , Iman Mohamad Sharaf","doi":"10.1016/j.sftr.2025.100822","DOIUrl":"10.1016/j.sftr.2025.100822","url":null,"abstract":"<div><div>In recent years, global attention has been shifted toward energy issues, prompting significant support from major countries toward nearly zero-energy structures. However, this transition faces challenges, particularly regarding the financial implications of implementation despite diverse methodologies. The emergence of artificial intelligence (AI) has catalyzed advancements in energy conservation and management, leading to the development of numerous smart energy management systems leveraging the internet of things and AI methodologies. Various machine learning (ML) models have been utilized for energy-saving and consumption prediction solutions, posing challenges in selecting the most effective model. Multicriteria decision-making (MCDM) models offer a solution to this challenge and have been applied across domains, including energy management. This study aims to utilize MCDM approaches, specifically the fuzzy-weighted zero-inconsistency (FWZIC) and combinative distance-based assessment (CODAS) methods, to select the best energy management ML model. The study used data for eight ML alternatives based on the assessments by three field experts with respect to five criteria. The results of the criteria evaluation weights indicate that robustness (<em>C<sub>1</sub></em>) received the highest criterion weight with a value of <em>0.298</em>. The results of the alternative evaluation indicated the hybrid artificial neural network (<em>A<sub>1</sub></em>) as the best model for performance. Additionally, a comparison analysis was performed between FWZIC and various criteria weighting methods, as well as between CODAS and different alternative ranking methods. This framework enables decisionmakers to consider an AI solution that optimizes for accuracy, costs, and resilience in a move towards zero-energy infrastructure.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100822"},"PeriodicalIF":3.3,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing SDGs with IoT: Enhancing thermal comfort and energy efficiency- A bibliometric study 用物联网推进可持续发展目标：提高热舒适和能源效率——一项文献计量学研究

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-16 DOI: 10.1016/j.sftr.2025.100873

Lama Alhaj Husein , Emad S. Mushtaha , Imad Alsyouf , Khaled Obaideen

{"title":"Advancing SDGs with IoT: Enhancing thermal comfort and energy efficiency- A bibliometric study","authors":"Lama Alhaj Husein , Emad S. Mushtaha , Imad Alsyouf , Khaled Obaideen","doi":"10.1016/j.sftr.2025.100873","DOIUrl":"10.1016/j.sftr.2025.100873","url":null,"abstract":"<div><div>There is a large body of research on the Internet of Things (IoT) utilization to achieve Thermal comfort while maintaining Energy efficiency (IoT-TE). This research offers insights to promote the achievement of Sustainable Development Goal 7 (affordable and clean energy) and Sustainable Development Goal 11 (sustainable cities and communities). Based on the proposed hypothesis, IoT-TE research is highly relevant to SDG 7 and SDG 11. Therefore, this paper conducts a bibliometric analysis of publications that support SDGs in IoT-TE. 873 articles from the Scopus database up to December 2023 were analyzed with its significant trends. A substantial portion of the citations focused on research published within the past ten years, reaching a notable peak in 2018 with an estimated 15,000 citations. IoT-TE research predominantly supported target was 7.3 Target (double the improvement in energy efficiency). This is the first comprehensive bibliometric analysis of IoT-TE literature supporting SDGs. The identified research gaps will influence IoT-TE research future directions and encourage cooperative research efforts. Furthermore, the research themes showed that energy efficiency is the forefront keyword of the current bibliometric research about IoT-TE. This study will help decision-makers and practitioners interested in SDGs understand the latest advances in research and achieve sustainability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100873"},"PeriodicalIF":3.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unpacking green growth in SMEs: A framework for dynamic capabilities, value co-creation, and sustainable performance 拆解中小企业的绿色增长：动态能力、价值共同创造和可持续绩效的框架

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-16 DOI: 10.1016/j.sftr.2025.100840

Aghnia Nadhira Aliya Putri , Pri Hermawan , Isti Raafaldini Mirzanti , Maureen Meadows , Rosie Sadraei

{"title":"Unpacking green growth in SMEs: A framework for dynamic capabilities, value co-creation, and sustainable performance","authors":"Aghnia Nadhira Aliya Putri , Pri Hermawan , Isti Raafaldini Mirzanti , Maureen Meadows , Rosie Sadraei","doi":"10.1016/j.sftr.2025.100840","DOIUrl":"10.1016/j.sftr.2025.100840","url":null,"abstract":"<div><div>This study examines how green dynamic capabilities and value co-creation drive sustainability transitions in small and medium-sized enterprises (SMEs), enabling them to integrate sustainability into their business models and improve environmental, economic, and social performance. A systematic literature review using PRISMA guidelines analyzed 108 peer-reviewed articles from the Scopus database. Thematic analysis identified key factors influencing SME sustainability through dynamic capabilities and value co-creation. The findings reveal that green dynamic capabilities—sensing, seizing, and transforming sustainability opportunities—are essential for SMEs to adapt to regulatory, market, and technological shifts. Value co-creation, facilitated by stakeholder collaboration, digital technology adoption, and regulatory engagement, further enhances sustainability outcomes. Mediating factors, including financial accessibility, digital transformation, institutional support, and market pressure, influence how effectively SMEs integrate green practices. The study developed a framework showing that SMEs should enhance green capabilities and stakeholder engagement to overcome resource constraints, while policymakers and industry players must strengthen institutional support, regulatory incentives, and tailored green financing. This study integrates green dynamic capabilities and value co-creation into the structured framework.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100840"},"PeriodicalIF":3.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determinants of air transport CO₂ emissions in OECD countries 经合组织国家航空运输二氧化碳排放的决定因素

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-16 DOI: 10.1016/j.sftr.2025.100877

Kasım Kiracı

{"title":"Determinants of air transport CO₂ emissions in OECD countries","authors":"Kasım Kiracı","doi":"10.1016/j.sftr.2025.100877","DOIUrl":"10.1016/j.sftr.2025.100877","url":null,"abstract":"<div><div>Whether advanced economies can meet their emission reduction targets and effectively address climate change remains a critical global concern. OECD countries account for approximately one-third of global CO₂ emissions, highlighting their pivotal role in achieving sustainable development goals. The air transport industry is one of the fastest-growing sectors globally and aims to achieve net-zero emissions by 2050. Unlike previous studies that primarily focus on total emissions or cross-sectoral comparisons, this study examines the specific determinants of air transport CO₂ emissions in OECD countries. Using panel data from 38 member states over the period 2013–2023, the analysis is conducted in three stages. First, key drivers of air transport CO₂ emissions are assessed at the aggregate level. Second, countries are grouped into two broad geographic regions to investigate regional heterogeneity through separate regressions. Third, a country-specific analysis is conducted for the top emitters to explore national trends. This multi-level approach provides a comprehensive understanding of emission dynamics at macro, regional, and national scales. The findings indicate that GDP growth, GDP per capita, and international tourism significantly increase air transport CO₂ emissions, while international trade appears to have a mitigating effect. These results carry important policy implications for OECD countries as they strive to meet their emission reduction commitments, and the 2050 net-zero target.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100877"},"PeriodicalIF":3.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the impacts of multi-scenario climate and land use change on water-related ecosystem services: the case of the Yangtze River Economic Belt (2000–2030) 多情景气候和土地利用变化对水生态系统服务的影响评估——以长江经济带2000-2030年为例

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-16 DOI: 10.1016/j.sftr.2025.100854

Pengguang Shan , Yuan Wang , Bowei Wu , Hanlu Chen , Qing Zhang , Linxuan Yang , Yixuan Jiang , Zhanfeng Dong

{"title":"Assessing the impacts of multi-scenario climate and land use change on water-related ecosystem services: the case of the Yangtze River Economic Belt (2000–2030)","authors":"Pengguang Shan , Yuan Wang , Bowei Wu , Hanlu Chen , Qing Zhang , Linxuan Yang , Yixuan Jiang , Zhanfeng Dong","doi":"10.1016/j.sftr.2025.100854","DOIUrl":"10.1016/j.sftr.2025.100854","url":null,"abstract":"<div><div>Water-related ecosystem services (WESs) are essential for sustainable development, particularly in regions experiencing rapid land use and cover change (LUCC) and climate change (CC). This study evaluates the spatial and temporal impacts, independent contributions, and trade-offs of LUCC and CC on WESs in the Yangtze River Economic Belt (YREB) from 2000 to 2030. By integrating the BCC-CSM2-MR, InVEST, and PLUS models with dynamic trade-offs analysis, our findings indicate that water yield (WY) could increase by up to 53.65 % under the SSP585 climate with cropland protection scenario (CP585), and the upstream surge is significant. Additionally, water purification (WP) is projected to improve across the region, as evidenced by a 10.31 % reduction in phosphorus (P) export under SSP585 climate with ecological protection scenario (EP585), while upstream degrades in the urban expansion (UE) and CP scenarios. CC exerts a predominant positive influence (over 90 %) on WY, while LUCC significantly affect WP especially in the downstream. Overall dynamic trade-offs reveal lowest upstream and highest downstream trade-offs between WESs. Meanwhile the spatial synergy between WESs is expected to be most extensive under the SSP245 climate and EP scenario (EP245). These findings underscore the importance of integrated land and water management strategies to optimize WESs and support sustainable regional development amid future environmental changes. However, this study is limited by its use of annual average precipitation, which ignores seasonal dynamics, and by focusing on the separate effects of LUCC and CC without considering their combined effects. Future research should address these gaps.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100854"},"PeriodicalIF":3.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Government Influence on AI investment and energy leakage mitigation technology in SCM: Duality modeling and scenario analysis 政府对供应链中人工智能投资和能源泄漏缓解技术的影响：二元模型和情景分析

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-16 DOI: 10.1016/j.sftr.2025.100853

Jafar Hussain , Benjamin Lev , Jifan Ren

{"title":"Government Influence on AI investment and energy leakage mitigation technology in SCM: Duality modeling and scenario analysis","authors":"Jafar Hussain , Benjamin Lev , Jifan Ren","doi":"10.1016/j.sftr.2025.100853","DOIUrl":"10.1016/j.sftr.2025.100853","url":null,"abstract":"<div><div>This study investigates the economic dynamics within a supply chain management (SCM) involving manufacturers, agents, and retailers. It focuses on strategies to mitigate energy leakage (EL) through the integration of artificial intelligence (AI) technology and the imposition of EL taxes. A simulation-based optimization model is used to find different optimal scenarios. Through a series of optimized scenarios, the research examines the impacts of these interventions on SCM efficiency, profitability, and sustainability. The findings reveal that while the introduction of EL taxes initially increases operational costs, it effectively causes an improvement in energy efficiency. At the same time, significant investments in AI technology reduce energy wastage, leading to enhanced profitability and sustainability across the SCM. The research concludes with recommendations for SCM entities to actively invest in AI technology and for governments to impose taxes as a penalty. Additionally, it suggests further exploration of collaborative investments and emerging technologies to enhance SCM sustainability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100853"},"PeriodicalIF":3.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial coordination of electric vehicle adoption within the urban built environment using machine learning 使用机器学习的城市建筑环境中电动汽车采用的空间协调

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-15 DOI: 10.1016/j.sftr.2025.100807

Jing Kang

{"title":"Spatial coordination of electric vehicle adoption within the urban built environment using machine learning","authors":"Jing Kang","doi":"10.1016/j.sftr.2025.100807","DOIUrl":"10.1016/j.sftr.2025.100807","url":null,"abstract":"<div><div>Adopting electric vehicles (EVs) aims to reduce urban carbon emissions from the demand side of transportation. However, there is limited understanding of how the urban built environment influences the process of EV adoption. As EV technology and the policy landscape continue to evolve, comprehending these dynamically developing relationships is crucial for promoting EVs and facilitating their coordination with existing urban infrastructure. This study proposes a data-driven machine learning framework to explore the nonlinear relationships and threshold effects between EV adoption and various urban environmental variables. By integrating GIS spatial analysis, we enhance the interpretability of the model results. Taking Beijing, China, as a case study, the findings confirm several factors previously identified as influencing EV adoption, such as charging infrastructure, population density, and economic development. Additionally, this study reveals regional insights that differ from existing research. Factors such as proximity to urban centers and the distance to, and accessibility of, public charging stations are no longer the most influential variables in the city. Compared to linear assumptions, a comprehensive analysis that includes multiple nonlinear variables enhances our understanding of the coordination of EVs within existing urban systems. The threshold effects from the results suggest a current 1.5-km radius for new charging infrastructure development around residential areas, while it is also important to consider other coordinating thresholds, such as the distance from the city center (10 km or 30 km), land-use mix entropy (around 0.7), and areas with low building coverage and low bus stop density. This study calls for more attention to the continuously evolving dynamic nonlinear relationship between EVs and various built environment variables.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100807"},"PeriodicalIF":3.3,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strategic evaluation of rural-to-urban migration trends and policies in Türkiye 中国农村向城市迁移趋势和政策的战略评价

IF 3.3 2区社会学

Sustainable Futures Pub Date : 2025-06-15 DOI: 10.1016/j.sftr.2025.100875

Sukran Seker , Ertugrul Ayyildiz , Nezir Aydin

引用次数: 0