Pub Date : 2026-01-15DOI: 10.1016/j.sftr.2026.101665
Viet Ha Hoang , Van-Chung Dong , Thi Mai Thanh Tran
The transformation to a circular economy is considered an optimal solution for achieving sustainable development. Utilizing panel data from 63 provinces in Vietnam spanning 2016 to 2020, this study explores the motives and obstacles in the transition to a circular economy at the provincial level. The empirical results show that income per capita, education level, and population density are the primary drivers, while multi-dimensional poverty rate and the age of working population hamper the transitional process in the provinces. In addition, there is no empirical evidence to conclude the positive impacts of environmental regulations and information and communications technologies on transforming to a circular economy in Vietnamese provinces. By classifying provinces into six economic regions, we find heterogeneous effects among these regions. Based on the findings, our research proposes several implications for accelerating the transition to a circular economy, thereby contributing to sustainable development.
{"title":"Determinants of transforming to a circular economy: Evidence from a developing country","authors":"Viet Ha Hoang , Van-Chung Dong , Thi Mai Thanh Tran","doi":"10.1016/j.sftr.2026.101665","DOIUrl":"10.1016/j.sftr.2026.101665","url":null,"abstract":"<div><div>The transformation to a circular economy is considered an optimal solution for achieving sustainable development. Utilizing panel data from 63 provinces in Vietnam spanning 2016 to 2020, this study explores the motives and obstacles in the transition to a circular economy at the provincial level. The empirical results show that income per capita, education level, and population density are the primary drivers, while multi-dimensional poverty rate and the age of working population hamper the transitional process in the provinces. In addition, there is no empirical evidence to conclude the positive impacts of environmental regulations and information and communications technologies on transforming to a circular economy in Vietnamese provinces. By classifying provinces into six economic regions, we find heterogeneous effects among these regions. Based on the findings, our research proposes several implications for accelerating the transition to a circular economy, thereby contributing to sustainable development.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101665"},"PeriodicalIF":4.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977448","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}
Pub Date : 2026-01-15DOI: 10.1016/j.sftr.2026.101659
Pulak Sarker Bipu, Shakila Salam, Moumita Deb
A comprehensive assessment of a product's economic viability, along with a value chain analysis, is essential to identify opportunities for improvement, ascertain actual costs and margins, understand the interrelationships between activities, and enhance production efficiency. This study evaluates the economic viability and value chain of summer tomato cultivation, a sector gaining importance due to rising off-season demand and price premiums. A total of 50 summer tomato growers and 45 traders were selected using multi-stage sampling techniques from the Netrokona and Kishoreganj districts in Bangladesh. The results indicates that the adoption levels of ploughing, planting periods, seedling usage, pesticide application, and hormone use were high, whereas the use of urea, gypsum, MoP, boron, and zinc was low. The total cost of summer tomato cultivation was Tk. 2,75,606 per acre, while the average net return per acre was Tk. 3,43,364. The Benefit-Cost Ratio (BCR) of summer tomato cultivation was found to be 2.25, indicating that producing summer tomatoes is economically viable. Seven marketing channels were identified, with retailers contributing 42.58% of the overall value addition, marking the most significant contribution to the gross marketing margin. The summer tomato value chain in Bangladesh is sustainable due to its capacity to create income, encourage efficient resource utilization, enhance food security, and adapt to climatic changes. By maintaining investments in technology, training, and market systems, this value chain has the potential to flourish and contribute to a more resilient and inclusive agricultural economy.
{"title":"Economic viability and value chain analysis of summer tomato production in some selected areas of Bangladesh","authors":"Pulak Sarker Bipu, Shakila Salam, Moumita Deb","doi":"10.1016/j.sftr.2026.101659","DOIUrl":"10.1016/j.sftr.2026.101659","url":null,"abstract":"<div><div>A comprehensive assessment of a product's economic viability, along with a value chain analysis, is essential to identify opportunities for improvement, ascertain actual costs and margins, understand the interrelationships between activities, and enhance production efficiency. This study evaluates the economic viability and value chain of summer tomato cultivation, a sector gaining importance due to rising off-season demand and price premiums. A total of 50 summer tomato growers and 45 traders were selected using multi-stage sampling techniques from the Netrokona and Kishoreganj districts in Bangladesh. The results indicates that the adoption levels of ploughing, planting periods, seedling usage, pesticide application, and hormone use were high, whereas the use of urea, gypsum, MoP, boron, and zinc was low. The total cost of summer tomato cultivation was Tk. 2,75,606 per acre, while the average net return per acre was Tk. 3,43,364. The Benefit-Cost Ratio (BCR) of summer tomato cultivation was found to be 2.25, indicating that producing summer tomatoes is economically viable. Seven marketing channels were identified, with retailers contributing 42.58% of the overall value addition, marking the most significant contribution to the gross marketing margin. The summer tomato value chain in Bangladesh is sustainable due to its capacity to create income, encourage efficient resource utilization, enhance food security, and adapt to climatic changes. By maintaining investments in technology, training, and market systems, this value chain has the potential to flourish and contribute to a more resilient and inclusive agricultural economy.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101659"},"PeriodicalIF":4.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977490","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}
Pub Date : 2026-01-15DOI: 10.1016/j.sftr.2026.101668
Jing Huang , Dongqian Xue , Mei Huang
Exploring the development laws of oasis rural areas from the perspective of multifunctional coordination is conducive to addressing the vulnerability of the human-land system in arid regions. Based on the resource and environmental constraints, socio-economic transformation, and characteristics of leisure demand evolution in oasis rural areas of arid regions, this study constructed a rural multifunctional evaluation system from the perspective of the "production-living-ecology" system, which encompasses six core dimensions, namely agricultural product supply (APS), economic value-added (EVA), social security (SS), cultural and tourism leisure (CTL), ecological conservation (EC), and environmental maintenance (EM). Taking Ganzhou District, a typical oasis in the middle reaches of the Heihe River Basin in Northwest China as an example, the spatio-temporal pattern, synergistic relationship and obstacle factors of rural multifunctionality from 2011 to 2020 were systematically analyzed by applying the entropy weight method, spatial concentration index, coupling coordination degree model and obstacle degree model. The results show that: (1)The multifunctional development presents a law of spatio-temporal differentiation. The production function shows a "core-periphery" structure; the living function has shifted from a "high in the central axis and low in the two wings" pattern to a "high in the east and low in the west" pattern; the ecological function has improved overall, but the shortcomings in sensitive areas are prominent. (2) The overall level of multifunctional coordination is relatively low. Although the coupling coordination degree has continued to rise, it is still dominated by intermediate-level coordination or below. There is a widespread trade-off relationship among functions, with the negative conflict between APS and EC being the most significant. (3) The multifunctional synergy barriers have spatial gradient characteristics, and the order of obstacle degrees is: APS > SS > CTL > EC > EVA > EM. The core area of the oasis is mainly affected by ecological-environmental barriers, while the peripheral areas and transition zones are dominated by production-economic barriers. This study reveals the evolution mechanism of rural multifunctionality in arid oasis areas under resource competition and policy regulation, and proposes a differentiated governance path of "ecological optimization in core areas, industrial promotion in peripheral areas, and conservation priority in transition zones". It not only provides a theoretical reference for understanding the complexity of the human-land system in arid oasis areas, but also offers a replicable practical plan for coordinating ecological protection and rural development in similar regions around the world.
从多功能协调的角度探讨绿洲农村的发展规律,有助于解决干旱区人地系统的脆弱性问题。基于干旱区绿洲农村资源环境约束、社会经济转型和休闲需求演变特征,构建了“生产-生活-生态”系统视角下的乡村多功能评价体系,包括农产品供给(APS)、经济增值(EVA)、社会保障(SS)、文化旅游休闲(CTL)、生态保护(EC)、生态保护(EC)、生态保护(EVA)、生态保护(EVA)、生态保护(EVA)、生态保护(EVA)、生态保护(EVA)、生态保护(EVA)、生态保护(EVA)、生态保护(EVA)等6个核心维度。环境维护(EM)。以黑河流域中游典型绿洲赣州区为例,应用熵权法、空间集中指数、耦合协调度模型和障碍度模型,系统分析了2011 - 2020年农村多功能性的时空格局、协同关系和障碍因素。结果表明:(1)城市多功能发展呈现时空分异规律。生产函数呈现“核心-外围”结构;居住功能由“中轴线高、两翼低”格局转变为“东高西低”格局;生态功能总体改善,但敏感区不足突出。(2)多功能协调整体水平较低。虽然耦合协调度不断上升,但仍以中级及以下协调为主。功能之间存在着广泛的权衡关系,其中APS与EC之间的负向冲突最为显著。(3)多功能协同屏障具有空间梯度特征,障碍程度大小顺序为:APS >; SS > CTL > EC > EVA >; EM。绿洲核心区主要受生态环境屏障的影响,外围区和过渡带主要受生产经济屏障的影响。研究揭示了资源竞争与政策调控下干旱区绿洲农村多功能化演化机制,提出了“核心区生态优化、外围区产业提升、过渡区优先保护”的差异化治理路径。这不仅为认识干旱绿洲地区人地系统的复杂性提供了理论参考,也为世界类似地区协调生态保护与农村发展提供了可复制的实践方案。
{"title":"Spatio-temporal patterns and synergistic obstacles of rural multifunctionality in arid oasis regions: A case study from Ganzhou District in the middle reaches of the Heihe River Basin, Northwest China","authors":"Jing Huang , Dongqian Xue , Mei Huang","doi":"10.1016/j.sftr.2026.101668","DOIUrl":"10.1016/j.sftr.2026.101668","url":null,"abstract":"<div><div>Exploring the development laws of oasis rural areas from the perspective of multifunctional coordination is conducive to addressing the vulnerability of the human-land system in arid regions. Based on the resource and environmental constraints, socio-economic transformation, and characteristics of leisure demand evolution in oasis rural areas of arid regions, this study constructed a rural multifunctional evaluation system from the perspective of the \"production-living-ecology\" system, which encompasses six core dimensions, namely agricultural product supply (APS), economic value-added (EVA), social security (SS), cultural and tourism leisure (CTL), ecological conservation (EC), and environmental maintenance (EM). Taking Ganzhou District, a typical oasis in the middle reaches of the Heihe River Basin in Northwest China as an example, the spatio-temporal pattern, synergistic relationship and obstacle factors of rural multifunctionality from 2011 to 2020 were systematically analyzed by applying the entropy weight method, spatial concentration index, coupling coordination degree model and obstacle degree model. The results show that: (1)The multifunctional development presents a law of spatio-temporal differentiation. The production function shows a \"core-periphery\" structure; the living function has shifted from a \"high in the central axis and low in the two wings\" pattern to a \"high in the east and low in the west\" pattern; the ecological function has improved overall, but the shortcomings in sensitive areas are prominent. (2) The overall level of multifunctional coordination is relatively low. Although the coupling coordination degree has continued to rise, it is still dominated by intermediate-level coordination or below. There is a widespread trade-off relationship among functions, with the negative conflict between APS and EC being the most significant. (3) The multifunctional synergy barriers have spatial gradient characteristics, and the order of obstacle degrees is: APS > SS > CTL > EC > EVA > EM. The core area of the oasis is mainly affected by ecological-environmental barriers, while the peripheral areas and transition zones are dominated by production-economic barriers. This study reveals the evolution mechanism of rural multifunctionality in arid oasis areas under resource competition and policy regulation, and proposes a differentiated governance path of \"ecological optimization in core areas, industrial promotion in peripheral areas, and conservation priority in transition zones\". It not only provides a theoretical reference for understanding the complexity of the human-land system in arid oasis areas, but also offers a replicable practical plan for coordinating ecological protection and rural development in similar regions around the world.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101668"},"PeriodicalIF":4.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977494","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}
Social media-driven electronic Word-of-Mouth (e-WOM) has emerged as a crucial determinant of movie box-office success, particularly in digitally complex markets like China. Yet, the specific influence of China’s unique regulatory environment and distinct social media platforms on Word-of-Mouth dynamics remains underexplored. Addressing this critical gap, our research explores how online Word-Of-Mouth sentiment on Chinese platforms (Weibo, Douyin, Bilibili, and Xiaohongshu) mediates relationships between social media engagement and multifaceted film sustainability outcomes—including box office revenues, cultural value, and resource-efficient marketing practices. Utilizing a robust mixed-method design, we merge longitudinal sentiment data analysis (1.2 m user-generated posts) with Structural Equation Modeling based on survey responses from 925 film industry professionals. Granger causality tests robustly confirm that pre-release Word-Of-Mouth sentiment significantly predicts subsequent revenue trends without evidence of reverse causation, while Structural Equation Modeling analysis establishes online Word-Of-Mouth as an influential mediator that strengthens the linkage between initial social media engagement and sustained film profitability. This study introduces the “Recursive Engagement Economy of Film Success” framework, integrating Diffusion of Innovations and Social Influence theories to illustrate how Word-Of-Mouth triggers an enduring cycle of audience engagement, thereby decreasing marketing resource waste and prolonging revenue streams beyond initial theatrical releases. The research illuminate how China’s unique platform ecosystems prioritize authentic sentiment-driven virality rather than conventional Western influencer-centric strategies, enabling more streamlined, cost-effective promotional activities. This research provides practical guidance for filmmakers, marketers, and policymakers working within China’s competitive digital context, emphasizing transparency and consumer empowerment as key mechanisms for achieving lasting commercial, cultural, and environmental sustainability.
{"title":"The recursive engagement economy of film success: Social media eWOM, box office sustainability, and marketing efficiency in China","authors":"Canaan Tinotenda Madongo , Zhongjun Tang , Takunda Option Chiwaridzo","doi":"10.1016/j.sftr.2026.101654","DOIUrl":"10.1016/j.sftr.2026.101654","url":null,"abstract":"<div><div>Social media-driven electronic Word-of-Mouth (e-WOM) has emerged as a crucial determinant of movie box-office success, particularly in digitally complex markets like China. Yet, the specific influence of China’s unique regulatory environment and distinct social media platforms on Word-of-Mouth dynamics remains underexplored. Addressing this critical gap, our research explores how online Word-Of-Mouth sentiment on Chinese platforms (Weibo, Douyin, Bilibili, and Xiaohongshu) mediates relationships between social media engagement and multifaceted film sustainability outcomes—including box office revenues, cultural value, and resource-efficient marketing practices. Utilizing a robust mixed-method design, we merge longitudinal sentiment data analysis (1.2 m user-generated posts) with Structural Equation Modeling based on survey responses from 925 film industry professionals. Granger causality tests robustly confirm that pre-release Word-Of-Mouth sentiment significantly predicts subsequent revenue trends without evidence of reverse causation, while Structural Equation Modeling analysis establishes online Word-Of-Mouth as an influential mediator that strengthens the linkage between initial social media engagement and sustained film profitability. This study introduces the “Recursive Engagement Economy of Film Success” framework, integrating Diffusion of Innovations and Social Influence theories to illustrate how Word-Of-Mouth triggers an enduring cycle of audience engagement, thereby decreasing marketing resource waste and prolonging revenue streams beyond initial theatrical releases. The research illuminate how China’s unique platform ecosystems prioritize authentic sentiment-driven virality rather than conventional Western influencer-centric strategies, enabling more streamlined, cost-effective promotional activities. This research provides practical guidance for filmmakers, marketers, and policymakers working within China’s competitive digital context, emphasizing transparency and consumer empowerment as key mechanisms for achieving lasting commercial, cultural, and environmental sustainability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101654"},"PeriodicalIF":4.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977486","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}
Pub Date : 2026-01-14DOI: 10.1016/j.sftr.2026.101672
Anita Goyal, Maninder Singh, Anmol Goyal
In today's interconnected world, understanding societal mental health is more crucial than ever. While traditional machine learning methods have attempted to quantify stress from social media data, they often fail to capture the complexity of human emotion. Existing binary classification models, like Naive Bayes and SVM, are fundamentally limited; they can only categorize stress as present or absent, ignoring the nuanced spectrum of human stress levels. Moreover, these methods completely overlook the profound influence of social interactions, a key driver of individual and collective well-being. This research introduces a paradigm shift with its Human Opinion Dynamics Optimization (HODO) method. By integrating insights from social dynamics, the HODO model moves beyond a simple binary classification. It's the first of its kind to not only detect varying stress levels—from reduced to heightened—but also to quantify how interactions between individuals impact their mental state. This nuanced, socially-aware approach provides a more accurate and holistic assessment of societal stress. The implications are significant, offering a powerful tool for policymakers, public health officials, and mental health professionals to better understand and address the mental health challenges posed by a competitive and ever-changing world.
{"title":"Stress detection using a novel human opinion dynamics based machine learning method","authors":"Anita Goyal, Maninder Singh, Anmol Goyal","doi":"10.1016/j.sftr.2026.101672","DOIUrl":"10.1016/j.sftr.2026.101672","url":null,"abstract":"<div><div>In today's interconnected world, understanding societal mental health is more crucial than ever. While traditional machine learning methods have attempted to quantify stress from social media data, they often fail to capture the complexity of human emotion. Existing binary classification models, like Naive Bayes and SVM, are fundamentally limited; they can only categorize stress as present or absent, ignoring the nuanced spectrum of human stress levels. Moreover, these methods completely overlook the profound influence of social interactions, a key driver of individual and collective well-being. This research introduces a paradigm shift with its Human Opinion Dynamics Optimization (HODO) method. By integrating insights from social dynamics, the HODO model moves beyond a simple binary classification. It's the first of its kind to not only detect varying stress levels—from reduced to heightened—but also to quantify how interactions between individuals impact their mental state. This nuanced, socially-aware approach provides a more accurate and holistic assessment of societal stress. The implications are significant, offering a powerful tool for policymakers, public health officials, and mental health professionals to better understand and address the mental health challenges posed by a competitive and ever-changing world.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101672"},"PeriodicalIF":4.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977488","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}
Pub Date : 2026-01-14DOI: 10.1016/j.sftr.2025.101609
Ting Wen, Yuxin Du, Yue Qian, Chongxiang Liu, Mengqi Yang
Against the background of the "dual carbon" goal and the construction of a double cycle pattern, exploring whether the embeddedness of the domestic value chain (NVC) and that of the global value chain (GVC) can help to realize carbon emission reduction is crucial. This study calculated dual value chain embeddedness at the provincial level in China using the input-output table and the value-added decomposition model of regional embeddedness worldwide. Further, an empirical analysis framework for the impacts of NVC and GVC on carbon emission intensity was constructed. The results revealed the following: (1) Baseline regression analysis showed that NVC and GVC embedding have a significant inhibitory effect on carbon emissions intensity. After robustness tests, such as replacing the explanatory variables, excluding samples, and lagging one period, the conclusion still held. (2) The moderating effect analysis demonstrated that the interaction effect of NVC and GVC embedding can significantly enhance the inhibitory effect of both on carbon emissions intensity. We conclude that China should maximize the utilization of available comparative advantages, coordinate the two markets at home and abroad, strengthen benign interactions between GVC and NVC, and unleash their potential for economic development and environmental improvement using the GVC and NVC.
{"title":"Impact of dual value Chain embeddedness on carbon emission intensity","authors":"Ting Wen, Yuxin Du, Yue Qian, Chongxiang Liu, Mengqi Yang","doi":"10.1016/j.sftr.2025.101609","DOIUrl":"10.1016/j.sftr.2025.101609","url":null,"abstract":"<div><div>Against the background of the \"dual carbon\" goal and the construction of a double cycle pattern, exploring whether the embeddedness of the domestic value chain (NVC) and that of the global value chain (GVC) can help to realize carbon emission reduction is crucial. This study calculated dual value chain embeddedness at the provincial level in China using the input-output table and the value-added decomposition model of regional embeddedness worldwide. Further, an empirical analysis framework for the impacts of NVC and GVC on carbon emission intensity was constructed. The results revealed the following: (1) Baseline regression analysis showed that NVC and GVC embedding have a significant inhibitory effect on carbon emissions intensity. After robustness tests, such as replacing the explanatory variables, excluding samples, and lagging one period, the conclusion still held. (2) The moderating effect analysis demonstrated that the interaction effect of NVC and GVC embedding can significantly enhance the inhibitory effect of both on carbon emissions intensity. We conclude that China should maximize the utilization of available comparative advantages, coordinate the two markets at home and abroad, strengthen benign interactions between GVC and NVC, and unleash their potential for economic development and environmental improvement using the GVC and NVC.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101609"},"PeriodicalIF":4.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977489","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}
Pub Date : 2026-01-14DOI: 10.1016/j.sftr.2026.101656
Berj Dekramanjian
Citizen science faces persistent challenges in sustaining engagement, and understanding drivers of volunteer participation, particularly in digital initiatives addressing environmental and public health concerns. The study offers a novel application of Regulatory Focus Theory to examine the impact of dispositional goal orientations among participants of Mosquito Alert, a transnational initiative tracking invasive disease-carrying mosquitoes. Using mixed-method analysis of survey data and in-platform behavioral metrics, a significant skew towards prevention-focused participants was found. A further discrepancy emerged between self-reported motivations and actual behavior. Notably, heightened dispositional regulatory focus correlated with shorter participation spans. The findings revealed critical gaps between perceived motivations and behavioral outcomes, underscored importance of further integrating psychological constructs into platform design to enable and maintain long-term volunteer participation. The study advances theoretical understanding of volunteer psychology in sustainability contexts offering actionable strategies for improving the efficacy of initiatives.
{"title":"Dispositional regulatory focus in citizen science: Implications for engagement in environmental and public health monitoring","authors":"Berj Dekramanjian","doi":"10.1016/j.sftr.2026.101656","DOIUrl":"10.1016/j.sftr.2026.101656","url":null,"abstract":"<div><div>Citizen science faces persistent challenges in sustaining engagement, and understanding drivers of volunteer participation, particularly in digital initiatives addressing environmental and public health concerns. The study offers a novel application of Regulatory Focus Theory to examine the impact of dispositional goal orientations among participants of Mosquito Alert, a transnational initiative tracking invasive disease-carrying mosquitoes. Using mixed-method analysis of survey data and in-platform behavioral metrics, a significant skew towards prevention-focused participants was found. A further discrepancy emerged between self-reported motivations and actual behavior. Notably, heightened dispositional regulatory focus correlated with shorter participation spans. The findings revealed critical gaps between perceived motivations and behavioral outcomes, underscored importance of further integrating psychological constructs into platform design to enable and maintain long-term volunteer participation. The study advances theoretical understanding of volunteer psychology in sustainability contexts offering actionable strategies for improving the efficacy of initiatives.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101656"},"PeriodicalIF":4.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977487","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}
Pub Date : 2026-01-13DOI: 10.1016/j.sftr.2026.101664
Ta Thi Nguyet Trang , Pham Thi Hanh Lan , Phan Quynh Anh , Khanh Bao Nguyen
This study is motivated by the need to align national sustainability goals with real consumer behavior by identifying the barriers that block green purchase follow-through. We conducted a quantitative, cross-sectional, online survey of 684 Vietnamese consumers using multi-item scales for COM-B constructs, Perceived Consumer Effectiveness (PCE), intention, behavior, and greenwashing. Partial Least Squares Structural Equation Modeling tested measurement quality, structural paths, mediation, moderation, and predictive relevance. The model explained 58.9% of intention and 52.5% of behavior. Capability and Opportunity significantly increased intention, whereas motivation did not. PCE increased intention and behavior, and intention predicted behavior. Perceived greenwashing weakens the intention-behavior link. Mediation analyses showed that Capability, Opportunity, and PCE influenced behavior via intention, with PCE also exerting a direct effect. PLSpredict indicated a good predictive relevance. These results indicate that improving consumer capability, access/affordability, and efficacy beliefs can raise green purchasing, but claim credibility is critical to convert intention into action, offering actionable levers for aligning consumer demand with sustainable agri-food business models promoting more sustainable agri-food practices in Vietnam.
{"title":"Sustainability starts with the consumer: How green consumption shapes business model transformation a COM-B analysis of green purchase behavior in Vietnam’s agriculture","authors":"Ta Thi Nguyet Trang , Pham Thi Hanh Lan , Phan Quynh Anh , Khanh Bao Nguyen","doi":"10.1016/j.sftr.2026.101664","DOIUrl":"10.1016/j.sftr.2026.101664","url":null,"abstract":"<div><div>This study is motivated by the need to align national sustainability goals with real consumer behavior by identifying the barriers that block green purchase follow-through. We conducted a quantitative, cross-sectional, online survey of 684 Vietnamese consumers using multi-item scales for COM-B constructs, Perceived Consumer Effectiveness (PCE), intention, behavior, and greenwashing. Partial Least Squares Structural Equation Modeling tested measurement quality, structural paths, mediation, moderation, and predictive relevance. The model explained 58.9% of intention and 52.5% of behavior. Capability and Opportunity significantly increased intention, whereas motivation did not. PCE increased intention and behavior, and intention predicted behavior. Perceived greenwashing weakens the intention-behavior link. Mediation analyses showed that Capability, Opportunity, and PCE influenced behavior via intention, with PCE also exerting a direct effect. PLSpredict indicated a good predictive relevance. These results indicate that improving consumer capability, access/affordability, and efficacy beliefs can raise green purchasing, but claim credibility is critical to convert intention into action, offering actionable levers for aligning consumer demand with sustainable agri-food business models promoting more sustainable agri-food practices in Vietnam.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101664"},"PeriodicalIF":4.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976891","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}
Traffic stops are a common form of driver–police interactions, yet those involving young novice drivers remain understudied. This study examined the sociodemographic patterns in interactions between young novice drivers and police officers in Charlotte, North Carolina, analyzing the reasons for traffic stops and their outcomes. A binary logistic regression (BLR) model and association rule mining (ARM) were applied. The BLR model indicated that, compared to vehicle regulatory reasons, factors such as unsafe movements and speeding are associated with higher odds of stopped drivers being young novices rather than adults aged +18. Stopped non-White drivers are generally less likely to be young novices compared to White drivers, except for Hispanic drivers, who show higher odds. Additionally, stopped drivers who receive a written warning rather than a verbal one or interact with officers with 15–24 years of service, compared to junior officers, are more likely to be young novices. The ARM results revealed that young White novice drivers are frequently stopped for vehicle equipment issues. Interactions between White male officers and non-Hispanic young Black male novice drivers often result in arrests, especially when initiated by searches, involving officers with 1–3 or 4–14 years of service. Traffic stops involving young Asian female drivers mostly stem from stop light/sign violations, typically handled by White male officers. The findings can inform safety education for young novice drivers and raise awareness of traffic stop trends across police departments, fostering responsible driving behaviors and adherence to traffic laws and contributing to socially sustainable mobility.
{"title":"Young novice driver and police officer interactions: A study of sociodemographics, reasons for traffic stops, and outcomes","authors":"Panick Kalambay , Francisca Kasubi , Clement Lippu , Boniphace Kutela , Angela Kitali , Emmanuel Kidando","doi":"10.1016/j.sftr.2026.101660","DOIUrl":"10.1016/j.sftr.2026.101660","url":null,"abstract":"<div><div>Traffic stops are a common form of driver–police interactions, yet those involving young novice drivers remain understudied. This study examined the sociodemographic patterns in interactions between young novice drivers and police officers in Charlotte, North Carolina, analyzing the reasons for traffic stops and their outcomes. A binary logistic regression (BLR) model and association rule mining (ARM) were applied. The BLR model indicated that, compared to vehicle regulatory reasons, factors such as unsafe movements and speeding are associated with higher odds of stopped drivers being young novices rather than adults aged +18. Stopped non-White drivers are generally less likely to be young novices compared to White drivers, except for Hispanic drivers, who show higher odds. Additionally, stopped drivers who receive a written warning rather than a verbal one or interact with officers with 15–24 years of service, compared to junior officers, are more likely to be young novices. The ARM results revealed that young White novice drivers are frequently stopped for vehicle equipment issues. Interactions between White male officers and non-Hispanic young Black male novice drivers often result in arrests, especially when initiated by searches, involving officers with 1–3 or 4–14 years of service. Traffic stops involving young Asian female drivers mostly stem from stop light/sign violations, typically handled by White male officers. The findings can inform safety education for young novice drivers and raise awareness of traffic stop trends across police departments, fostering responsible driving behaviors and adherence to traffic laws and contributing to socially sustainable mobility.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101660"},"PeriodicalIF":4.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977574","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}
Pub Date : 2026-01-10DOI: 10.1016/j.sftr.2025.101582
Kola Ijasan , Bankole Osita Awuzie , Rhonda McEwen , Douglas Aghimien , Thabelo Ramantswana
The environmental impact of corporate activities is under increasing scrutiny from sustainability-focused investors, prompting organizations to prioritize Environmental, Social, and Governance (ESG) targets. Despite the critical role of corporate Real Estate Portfolios (REPs) in achieving these targets, limited research has explored how occupant behaviour influences the contribution of REPs to overall organizational ESG performance. This study addresses this gap by systematically reviewing literature on digital nudging as a strategy to promote Pro-Sustainability Behaviours (PSB) among REP occupants. Drawing insights from 22 peer-reviewed publications, the study identifies key behavioural focus areas, digital nudging elements (DNEs), principles (DNPs), and enabling technologies. These findings inform the development of a practical Input–Mediator–Outcome (IMO) Digital Nudging Framework, which guides the design, implementation, and evaluation of nudging interventions within REPs. The framework offers a structured approach for facility and real estate managers to align REP occupant PSB with ESG goals, integrating contextual analysis, behavioural targeting, technology selection, and performance evaluation. By emphasizing the social and governance dimensions alongside environmental outcomes, this study contributes a comprehensive guideline for enhancing ESG performance through digital nudging in corporate real estate settings.
{"title":"Nudging towards sustainability: A systematic review of digital strategies for achieving ESG goals in corporate real estate","authors":"Kola Ijasan , Bankole Osita Awuzie , Rhonda McEwen , Douglas Aghimien , Thabelo Ramantswana","doi":"10.1016/j.sftr.2025.101582","DOIUrl":"10.1016/j.sftr.2025.101582","url":null,"abstract":"<div><div>The environmental impact of corporate activities is under increasing scrutiny from sustainability-focused investors, prompting organizations to prioritize Environmental, Social, and Governance (ESG) targets. Despite the critical role of corporate Real Estate Portfolios (REPs) in achieving these targets, limited research has explored how occupant behaviour influences the contribution of REPs to overall organizational ESG performance. This study addresses this gap by systematically reviewing literature on digital nudging as a strategy to promote Pro-Sustainability Behaviours (PSB) among REP occupants. Drawing insights from 22 peer-reviewed publications, the study identifies key behavioural focus areas, digital nudging elements (DNEs), principles (DNPs), and enabling technologies. These findings inform the development of a practical Input–Mediator–Outcome (IMO) Digital Nudging Framework, which guides the design, implementation, and evaluation of nudging interventions within REPs. The framework offers a structured approach for facility and real estate managers to align REP occupant PSB with ESG goals, integrating contextual analysis, behavioural targeting, technology selection, and performance evaluation. By emphasizing the social and governance dimensions alongside environmental outcomes, this study contributes a comprehensive guideline for enhancing ESG performance through digital nudging in corporate real estate settings.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101582"},"PeriodicalIF":4.9,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938609","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}