Pub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.sftr.2025.101628
Derson da S. Lopes-Jr , Marco Antonio Figueiredo Milani Filho , Anne Kathleen Lopes Rocha
Social entrepreneurship has arisen as an alternative to address societal challenges, combining business objectives with social goals. This study investigates the relationships between volunteering, entrepreneurial self-efficacy, and social entrepreneurship intentions using Partial Least Square - Structural Equation Modeling (PLS-SEM). Data was collected from 1,052 participants across 27 countries, with 47 % of respondents being Brazilian. The results suggest that volunteering practice has a significant positive impact on social entrepreneurship intentions, with a strong coefficient of 0.455. However, the study reveals a complex relationship between these variables. While volunteering positively influences entrepreneurial self-efficacy, the direct effect of entrepreneurial self-efficacy on social entrepreneurship intentions was found to be minimal. These findings suggest that while volunteering plays a crucial role in fostering social entrepreneurship intentions, the relationship between self-efficacy and social entrepreneurial intentions may be mediated by other factors. The study contributes to the literature by providing empirical evidence on these intricate relationships and highlights the need for future research to explore potential mediating variables that could explain the unexpected weak link between entrepreneurial self-efficacy and social entrepreneurship intentions
{"title":"Volunteering as a catalyst to social entrepreneurship","authors":"Derson da S. Lopes-Jr , Marco Antonio Figueiredo Milani Filho , Anne Kathleen Lopes Rocha","doi":"10.1016/j.sftr.2025.101628","DOIUrl":"10.1016/j.sftr.2025.101628","url":null,"abstract":"<div><div>Social entrepreneurship has arisen as an alternative to address societal challenges, combining business objectives with social goals. This study investigates the relationships between volunteering, entrepreneurial self-efficacy, and social entrepreneurship intentions using Partial Least Square - Structural Equation Modeling (PLS-SEM). Data was collected from 1,052 participants across 27 countries, with 47 % of respondents being Brazilian. The results suggest that volunteering practice has a significant positive impact on social entrepreneurship intentions, with a strong coefficient of 0.455. However, the study reveals a complex relationship between these variables. While volunteering positively influences entrepreneurial self-efficacy, the direct effect of entrepreneurial self-efficacy on social entrepreneurship intentions was found to be minimal. These findings suggest that while volunteering plays a crucial role in fostering social entrepreneurship intentions, the relationship between self-efficacy and social entrepreneurial intentions may be mediated by other factors. The study contributes to the literature by providing empirical evidence on these intricate relationships and highlights the need for future research to explore potential mediating variables that could explain the unexpected weak link between entrepreneurial self-efficacy and social entrepreneurship intentions</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101628"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938528","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 : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.sftr.2025.101630
Saeed Dehnavi, Hadi Mokhtari
The construction industry is a major global consumer of energy and a leading source of greenhouse gas emissions, underscoring the need for transparent, data-driven, and energy-efficient supply chain strategies. This study develops an integrated mixed-integer linear programming (MILP) model for a multi-echelon, multi-product construction supply chain that explicitly incorporates differentiated building energy efficiency levels (A+, A++, A+++) as exogenous determinants of material requirements, production processes, and logistics flows. By embedding blockchain-enabled smart contracts, the model automates supplier governance and ensures compliance with delivery reliability, quality standards, and CO2 performance through predefined incentives and penalties, thereby enhancing transparency and accountability. The framework jointly optimizes facility location, material and product flows, supplier selection, and reverse logistics operations under a CO₂ emission cap, while simultaneously capturing the implications of greenfield and brownfield project conditions. A real-scale numerical case study demonstrates the model’s ability to evaluate the economic–environmental trade-offs arising from increasingly stringent sustainability requirements. The results reveal that although higher energy efficiency levels incur greater initial supply chain costs due to advanced materials and more complex logistics, they lead to substantial reductions in long-term operational energy consumption, rendering the A+++ option the most economically favorable from a lifecycle perspective. Furthermore, the integration of blockchain-enabled smart contracts partially offsets cost escalations by penalizing non-compliant suppliers and rewarding high-performing ones. Overall, the proposed model provides a rigorous and transparent decision-support framework that enables contractors to align supply chain design with energy-efficiency targets, CO2-reduction policies, and circular-economy objectives while preserving operational feasibility and supply reliability.
{"title":"Sustainable energy-efficient optimization of construction supply chains with smart contracts","authors":"Saeed Dehnavi, Hadi Mokhtari","doi":"10.1016/j.sftr.2025.101630","DOIUrl":"10.1016/j.sftr.2025.101630","url":null,"abstract":"<div><div>The construction industry is a major global consumer of energy and a leading source of greenhouse gas emissions, underscoring the need for transparent, data-driven, and energy-efficient supply chain strategies. This study develops an integrated mixed-integer linear programming <del>(MILP)</del> model for a multi-echelon, multi-product construction supply chain that explicitly incorporates differentiated building energy efficiency levels (<em>A</em>+, <em>A</em>++, <em>A</em>+++) as exogenous determinants of material requirements, production processes, and logistics flows. By embedding blockchain-enabled smart contracts, the model automates supplier governance and ensures compliance with delivery reliability, quality standards, and CO<sub>2</sub> performance through predefined incentives and penalties, thereby enhancing transparency and accountability. The framework jointly optimizes facility location, material and product flows, supplier selection, and reverse logistics operations under a CO₂ emission cap, while simultaneously capturing the implications of greenfield and brownfield project conditions. A real-scale numerical case study demonstrates the model’s ability to evaluate the economic–environmental trade-offs arising from increasingly stringent sustainability requirements. The results reveal that although higher energy efficiency levels incur greater initial supply chain costs due to advanced materials and more complex logistics, they lead to substantial reductions in long-term operational energy consumption, rendering the <em>A</em>+++ option the most economically favorable from a lifecycle perspective. Furthermore, the integration of blockchain-enabled smart contracts partially offsets cost escalations by penalizing non-compliant suppliers and rewarding high-performing ones. Overall, the proposed model provides a rigorous and transparent decision-support framework that enables contractors to align supply chain design with energy-efficiency targets, CO<sub>2</sub>-reduction policies, and circular-economy objectives while preserving operational feasibility and supply reliability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101630"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938612","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 : 2026-06-01Epub Date: 2026-01-08DOI: 10.1016/j.sftr.2025.101640
Carlos M. Jardon , Elena Rapoport , Xose L. Pastoriza-Rozas , Xavier Martinez-Cobas
Considering evolving economic and social conditions, there is an increasing need for entrepreneurial concepts that align with changing demands. While subsistence entrepreneurship has been recognized for its potential to alleviate poverty in developing countries, this paper proposes a theoretical framework that integrates existing ideas and incorporates sustainable development objectives from a personalist viewpoint. This novel theoretical grounding is derived from a comprehensive review of the interdisciplinary literature on subsistence entrepreneurship and includes diverse entrepreneurial approaches: Simon's satisfaction theory, and sustainable development objectives. The paper concludes by presenting practical guidance and potential avenues for future research.
{"title":"Breaking ground: A new theoretical proposition for subsistence entrepreneurship through a personalist lens","authors":"Carlos M. Jardon , Elena Rapoport , Xose L. Pastoriza-Rozas , Xavier Martinez-Cobas","doi":"10.1016/j.sftr.2025.101640","DOIUrl":"10.1016/j.sftr.2025.101640","url":null,"abstract":"<div><div>Considering evolving economic and social conditions, there is an increasing need for entrepreneurial concepts that align with changing demands. While subsistence entrepreneurship has been recognized for its potential to alleviate poverty in developing countries, this paper proposes a theoretical framework that integrates existing ideas and incorporates sustainable development objectives from a personalist viewpoint. This novel theoretical grounding is derived from a comprehensive review of the interdisciplinary literature on subsistence entrepreneurship and includes diverse entrepreneurial approaches: Simon's satisfaction theory, and sustainable development objectives. The paper concludes by presenting practical guidance and potential avenues for future research.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101640"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938705","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}
This study investigates the persistent practice of fuel stacking—using both clean and traditional fuels—in Harirampura, a rural village in Rajasthan, despite widespread access to liquefied petroleum gas (LPG) through government initiatives such as the Pradhan Mantri Ujjwala Yojana (PMUY). Using a participatory rural appraisal (PRA) approach, this research explores the complex socioeconomic, cultural, and gendered dimensions influencing household energy choices. Tools such as resource mapping, seasonal calendars, focus group discussions, and problem tree analysis were employed to capture community voices and contextual realities. The findings reveal that economic vulnerability, seasonal income fluctuations, cultural food preferences, and institutional shortcomings contribute to continued reliance on biomass alongside LPG. Women, as primary cooks and fuel gatherers, bear disproportionate health and time burdens because of this dual fuel use. The study emphasizes the limitations of access-focused policies and calls for localized, gender-sensitive, and community-informed strategies to achieve a meaningful transition to clean cooking. These insights contribute to India’s broader efforts to fulfill Sustainable Development Goals 3, 5, and 7.
{"title":"Participatory rural insights into fuel stacking behavior: A case from rural Rajasthan","authors":"Amardeep Yadav , Viswanathan PK , Renjith Mohan , Manoj P , Raghu Raman","doi":"10.1016/j.sftr.2026.101670","DOIUrl":"10.1016/j.sftr.2026.101670","url":null,"abstract":"<div><div>This study investigates the persistent practice of fuel stacking—using both clean and traditional fuels—in Harirampura, a rural village in Rajasthan, despite widespread access to liquefied petroleum gas (LPG) through government initiatives such as the Pradhan Mantri Ujjwala Yojana (PMUY). Using a participatory rural appraisal (PRA) approach, this research explores the complex socioeconomic, cultural, and gendered dimensions influencing household energy choices. Tools such as resource mapping, seasonal calendars, focus group discussions, and problem tree analysis were employed to capture community voices and contextual realities. The findings reveal that economic vulnerability, seasonal income fluctuations, cultural food preferences, and institutional shortcomings contribute to continued reliance on biomass alongside LPG. Women, as primary cooks and fuel gatherers, bear disproportionate health and time burdens because of this dual fuel use. The study emphasizes the limitations of access-focused policies and calls for localized, gender-sensitive, and community-informed strategies to achieve a meaningful transition to clean cooking. These insights contribute to India’s broader efforts to fulfill Sustainable Development Goals 3, 5, and 7.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101670"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976890","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 : 2026-06-01Epub Date: 2026-01-15DOI: 10.1016/j.sftr.2026.101678
Boonlert Jitmaneeroj
Achieving environmental sustainability requires balancing policy trade-offs while leveraging synergies to enhance governance effectiveness. This study examines environmental policy interactions in emerging and advanced economies using the 2024 Environmental Performance Index. Applying a 3C analytical framework—clustering (expectation–maximization), classification (Bayesian network with tree-augmented naïve Bayes), and causal analysis (Bayesian structural equation modeling)—the analysis identifies distinct environmental performance profiles and quantifies structural interdependencies among environmental performance categories. Findings reveal that emerging economies exhibit strong environmental synergies: sanitation improvements enhance heavy metal management, water resource availability supports forest ecosystems, forest conservation strengthens water quality, and climate mitigation efforts improve air pollution outcomes. In contrast, advanced economies display a mix of synergies and trade-offs. Biodiversity conservation improves air quality and benefits from effective heavy metal regulation, yet forest management and the expansion of sanitation infrastructure create trade-offs that contribute to biodiversity loss. These results underscore the complexity of sustainability governance and the need for context-specific strategies. Emerging economies should integrate sanitation, water governance, ecosystem management, and climate policy to reinforce mutually beneficial environmental outcomes. Advanced economies must navigate land-use constraints and infrastructure pressures by aligning conservation policies with urban planning and nature-based solutions. By revealing structural interdependencies across environmental dimensions, this study strengthens the methodological foundation for composite-index analysis and offers actionable insights for evidence-based policy design in diverse economic contexts.
{"title":"Sustainability trade-offs and synergies: A comparative environmental policy analysis of emerging and advanced economies","authors":"Boonlert Jitmaneeroj","doi":"10.1016/j.sftr.2026.101678","DOIUrl":"10.1016/j.sftr.2026.101678","url":null,"abstract":"<div><div>Achieving environmental sustainability requires balancing policy trade-offs while leveraging synergies to enhance governance effectiveness. This study examines environmental policy interactions in emerging and advanced economies using the 2024 Environmental Performance Index. Applying a 3C analytical framework—clustering (expectation–maximization), classification (Bayesian network with tree-augmented naïve Bayes), and causal analysis (Bayesian structural equation modeling)—the analysis identifies distinct environmental performance profiles and quantifies structural interdependencies among environmental performance categories. Findings reveal that emerging economies exhibit strong environmental synergies: sanitation improvements enhance heavy metal management, water resource availability supports forest ecosystems, forest conservation strengthens water quality, and climate mitigation efforts improve air pollution outcomes. In contrast, advanced economies display a mix of synergies and trade-offs. Biodiversity conservation improves air quality and benefits from effective heavy metal regulation, yet forest management and the expansion of sanitation infrastructure create trade-offs that contribute to biodiversity loss. These results underscore the complexity of sustainability governance and the need for context-specific strategies. Emerging economies should integrate sanitation, water governance, ecosystem management, and climate policy to reinforce mutually beneficial environmental outcomes. Advanced economies must navigate land-use constraints and infrastructure pressures by aligning conservation policies with urban planning and nature-based solutions. By revealing structural interdependencies across environmental dimensions, this study strengthens the methodological foundation for composite-index analysis and offers actionable insights for evidence-based policy design in diverse economic contexts.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101678"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977493","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}
Predicting urban carbon peak by considering water-energy-carbon nexus of land use has great significance for improving resources utilization efficiency and realizing carbon peak target. Previous studies were focused on multi-factors nexus evaluation from the perspective of industries or sectors, and less attention was paid to carbon emission prediction by considering multi-factors nexus from the perspective of land use. The paper employed the coupling coordination degree model to measure the water-energy-carbon nexus in Zhengzhou City and used the method of system dynamics to predict water-energy consumption and carbon emissions during 2021–2035. The results showed that there had significant differences in water-energy consumption and carbon emissions of different land use types. The coupling coordination degree changed from the near imbalance state to the high-quality coordination level. The comprehensive scenario had the greatest potential for resource conservation and carbon emission reduction, and the peaks of water, energy and carbon emissions would appear in 2034, 2031 and 2029, respectively. In the future, implementing collaborative utilization planning of resources, promoting utilization efficiency of water and energy, and building a precise carbon emission assessment system should be adopted. This study improved carbon peak prediction by considering multi-elements, which helped providing practical references for promoting water-energy utilization efficiency and carbon emission reduction.
{"title":"Prediction of urban carbon peak by considering water-energy-carbon nexus of land use: The case of Zhengzhou, China","authors":"Zhixiang Xie , Mengyu Feng , Rongqin Zhao , Liangang Xiao , Shuangsheng Yao , Yaohui Gao","doi":"10.1016/j.sftr.2025.101606","DOIUrl":"10.1016/j.sftr.2025.101606","url":null,"abstract":"<div><div>Predicting urban carbon peak by considering water-energy-carbon nexus of land use has great significance for improving resources utilization efficiency and realizing carbon peak target. Previous studies were focused on multi-factors nexus evaluation from the perspective of industries or sectors, and less attention was paid to carbon emission prediction by considering multi-factors nexus from the perspective of land use. The paper employed the coupling coordination degree model to measure the water-energy-carbon nexus in Zhengzhou City and used the method of system dynamics to predict water-energy consumption and carbon emissions during 2021–2035. The results showed that there had significant differences in water-energy consumption and carbon emissions of different land use types. The coupling coordination degree changed from the near imbalance state to the high-quality coordination level. The comprehensive scenario had the greatest potential for resource conservation and carbon emission reduction, and the peaks of water, energy and carbon emissions would appear in 2034, 2031 and 2029, respectively. In the future, implementing collaborative utilization planning of resources, promoting utilization efficiency of water and energy, and building a precise carbon emission assessment system should be adopted. This study improved carbon peak prediction by considering multi-elements, which helped providing practical references for promoting water-energy utilization efficiency and carbon emission reduction.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101606"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798082","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 : 2026-06-01Epub Date: 2025-12-19DOI: 10.1016/j.sftr.2025.101611
Xiaolong Zou , Leyan Wen , Ruixi Zhao
Urban areas in Northeast Asia play a significant role in global greenhouse gas emissions. This research centers on the development of an urban sustainability indicators system for Northeast Asian cities, adopting the perspectives of "decarbonization." The objective is to establish a comprehensive assessment framework, measuring the progress of low-carbon urban development in a more micro view rather than a global evaluation, and providing strategic recommendations for balanced economic growth and emission reduction. Through the analysis of decarbonization strategies and policies in Northeast Asian countries, macro-level indicators were formulated. The study uses Analytic Hierarchy Process method to build a hierarchical indicators system and the Technique for Order of Preference by Similarity to Ideal Solution to weight indicators. This evaluation system not only addresses carbon emission reduction but also encompasses multidimensional factors such as economic growth and energy security. These make this indicators system outstanding for micro evaluation in Northeast Asia and showing a more complete evaluation of cities based on quantitative statistics, governments management, and citizens’ views.
{"title":"Measuring urban sustainability in Northeast Asia: Construction of indicators system under decarbonization perspectives","authors":"Xiaolong Zou , Leyan Wen , Ruixi Zhao","doi":"10.1016/j.sftr.2025.101611","DOIUrl":"10.1016/j.sftr.2025.101611","url":null,"abstract":"<div><div>Urban areas in Northeast Asia play a significant role in global greenhouse gas emissions. This research centers on the development of an urban sustainability indicators system for Northeast Asian cities, adopting the perspectives of \"decarbonization.\" The objective is to establish a comprehensive assessment framework, measuring the progress of low-carbon urban development in a more micro view rather than a global evaluation, and providing strategic recommendations for balanced economic growth and emission reduction. Through the analysis of decarbonization strategies and policies in Northeast Asian countries, macro-level indicators were formulated. The study uses Analytic Hierarchy Process method to build a hierarchical indicators system and the Technique for Order of Preference by Similarity to Ideal Solution to weight indicators. This evaluation system not only addresses carbon emission reduction but also encompasses multidimensional factors such as economic growth and energy security. These make this indicators system outstanding for micro evaluation in Northeast Asia and showing a more complete evaluation of cities based on quantitative statistics, governments management, and citizens’ views.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101611"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798087","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 : 2026-06-01Epub Date: 2025-12-05DOI: 10.1016/j.sftr.2025.101577
Jie Bai , Suhana Binti Johar , Noraziah Binti Mohammad , Jun Xia
Traditional villages, as crucial carriers of cultural landscapes and socioecological systems, are garnering increasing attention in the context of the global urban-rural transformation and sustainable development agenda. While recent research on the preservation and sustainable development of traditional villages has demonstrated a multidimensional and interdisciplinary development trend, spanning cultural landscape governance, community engagement, ecological knowledge integration, and digital transformation, a systematic review of the field's development trajectory and research hotspots remains insufficient. This paper employs bibliometric methods, using the Web of Science Core Collection database as a data source, to systematically review the literature on the preservation and sustainable development of traditional villages from 2005 to 2025. Using VOSviewer and Bibliometrix tools, we visualize and cluster the publication trends, country and institution distribution, keyword co-occurrence networks, and thematic evolution paths. Results indicate that research in this field has experienced exponential growth over the past two decades, with China being the primary knowledge producer, accounting for over 75 % of the total. High-impact journals include Sustainability, Land, and Heritage Science. Research topics focus on five major areas: "Spatial Pattern and Tourism Transformation," "Land Use and Policy Intervention," "Cultural Landscape and Value System," "Community Participation and Governance Resilience," and "Rural Tourism and Participatory Development." High-frequency keywords show that "rural revitalization," "sustainable development," "cultural heritage," and "rural tourism" are gradually becoming core topics. The research paradigm has also shifted from traditional material protection to system governance and multi-subject coordination mechanisms, with "cultural rural revitalization," "ecological resilience," and "digital heritage management" becoming emerging growth points. This study constructed a knowledge map and thematic evolution framework for this field, identifying current hot spots and potential breakthroughs, and providing new theoretical perspectives and practical guidance for subsequent research.
传统村落作为文化景观和社会生态系统的重要载体，在全球城乡转型和可持续发展的背景下日益受到关注。近年来，传统村落保护与可持续发展的研究呈现多维度、跨学科的发展趋势，涵盖文化景观治理、社区参与、生态知识整合、数字化转型等多个领域，但对该领域的发展轨迹和研究热点缺乏系统梳理。本文采用文献计量学方法，以Web of Science Core Collection数据库为数据源，系统回顾了2005 - 2025年关于传统村落保护与可持续发展的文献。利用VOSviewer和Bibliometrix工具，我们对出版趋势、国家和机构分布、关键词共现网络和专题演变路径进行了可视化和聚类。研究结果表明，近20年来，该领域的研究呈指数级增长，其中中国是主要的知识生产者，占总量的75%以上。高影响力期刊包括《可持续发展》、《土地》和《遗产科学》。研究主题集中在五个主要领域：“空间格局与旅游转型”、“土地利用与政策干预”、“文化景观与价值体系”、“社区参与与治理弹性”和“乡村旅游与参与式发展”。高频关键词显示，“乡村振兴”、“可持续发展”、“文化传承”、“乡村旅游”正逐渐成为核心话题。研究范式也从传统的物质保护转向系统治理和多主体协调机制，“文化乡村振兴”、“生态韧性”、“数字遗产管理”成为新兴增长点。本研究构建了该领域的知识图谱和专题演进框架，明确了当前热点和潜在突破，为后续研究提供了新的理论视角和实践指导。
{"title":"Traditional village protection and sustainable development: Knowledge graph construction and hotspot evolution","authors":"Jie Bai , Suhana Binti Johar , Noraziah Binti Mohammad , Jun Xia","doi":"10.1016/j.sftr.2025.101577","DOIUrl":"10.1016/j.sftr.2025.101577","url":null,"abstract":"<div><div>Traditional villages, as crucial carriers of cultural landscapes and socioecological systems, are garnering increasing attention in the context of the global urban-rural transformation and sustainable development agenda. While recent research on the preservation and sustainable development of traditional villages has demonstrated a multidimensional and interdisciplinary development trend, spanning cultural landscape governance, community engagement, ecological knowledge integration, and digital transformation, a systematic review of the field's development trajectory and research hotspots remains insufficient. This paper employs bibliometric methods, using the Web of Science Core Collection database as a data source, to systematically review the literature on the preservation and sustainable development of traditional villages from 2005 to 2025. Using VOSviewer and Bibliometrix tools, we visualize and cluster the publication trends, country and institution distribution, keyword co-occurrence networks, and thematic evolution paths. Results indicate that research in this field has experienced exponential growth over the past two decades, with China being the primary knowledge producer, accounting for over 75 % of the total. High-impact journals include Sustainability, Land, and Heritage Science. Research topics focus on five major areas: \"Spatial Pattern and Tourism Transformation,\" \"Land Use and Policy Intervention,\" \"Cultural Landscape and Value System,\" \"Community Participation and Governance Resilience,\" and \"Rural Tourism and Participatory Development.\" High-frequency keywords show that \"rural revitalization,\" \"sustainable development,\" \"cultural heritage,\" and \"rural tourism\" are gradually becoming core topics. The research paradigm has also shifted from traditional material protection to system governance and multi-subject coordination mechanisms, with \"cultural rural revitalization,\" \"ecological resilience,\" and \"digital heritage management\" becoming emerging growth points. This study constructed a knowledge map and thematic evolution framework for this field, identifying current hot spots and potential breakthroughs, and providing new theoretical perspectives and practical guidance for subsequent research.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101577"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693400","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 : 2026-06-01Epub Date: 2025-12-05DOI: 10.1016/j.sftr.2025.101572
Abiola John Asaleye , Thobeka Ncanywa
Achieving sustainable economic growth remains a key priority for developing economies aiming to overcome structural inequalities. While prior research has examined employment, human capital, and economic complexity as determinants of economic performance, limited attention has been given to their effects on sustainable growth through a gender perspective. This study fills this gap by analysing how the labour market, skills formation, and economic complexity influence sustainable economic growth from a gender-specific perspective. To capture long-run relationships, interaction dynamics, and causal linkages, the study applies Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, Canonical Cointegrating Regression, and a Vector Error Correction Model. The results reveal that employment and human capital exert significant long-term positive effects on sustainable growth, with stronger impacts observed within male-specific estimations. Moreover, the interaction between employment, human capital, and economic complexity augments their overall contribution to growth. Causality analyses further demonstrate bidirectional short- and long-run relationships among the key variables, indicating their interconnected role in structural transformation. These findings stress the importance of gender-responsive human capital development, equitable labour market integration, and strategies that promote economic complexity. Inclusive and skill-intensive growth pathways can strengthen South Africa's progress toward long-term, sustainable, and gender-equitable economic development.
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This study applies a Multi-Objective Optimization (MOO) framework to enhance the energy performance of a typical high-rise residential building in Prague and assess its resilience under future climate change scenarios. A total of 18 passive strategies—including external wall and roof insulation (0.08–0.20 m), optimized Window-to-Wall Ratios (10–90 % by orientation), triple low-E glazing, and dynamic shading overhangs—were evaluated alongside two active strategies (heating and cooling COP optimization) and three renewable strategies (roof-mounted photovoltaic (PV) panels with tilt, spacing, and orientation optimization).
Results show that integrating these strategies can reduce annual energy demand by up to 68.7 % under current climate conditions and by 56 %, 42 %, and 32 % in the 2020s, 2050s, and 2080s, respectively. The optimized configuration maintained acceptable indoor comfort, with Predicted Percentage Dissatisfied (PPD) values reduced by up to 18 % compared to the baseline. PV panels generated 53,875 kWh annually under current conditions, covering 69 % of thermal and electrical demand, though coverage declined under future climate scenarios due to rising cooling loads.
These findings demonstrate that a comprehensive integration of passive, active, and renewable strategies can significantly improve building performance and provide a resilient pathway toward Near-Zero Energy Buildings (NZEBs) under changing climatic conditions.
{"title":"Multi-objective optimization framework to achieve near-zero energy building in the Czech Republic for future climatic conditions","authors":"Fatemeh Salehipour Bavarsad , Mostafa Mohajerani , Jan Tywoniak , Jihui Yuan","doi":"10.1016/j.sftr.2025.101599","DOIUrl":"10.1016/j.sftr.2025.101599","url":null,"abstract":"<div><div>This study applies a Multi-Objective Optimization (MOO) framework to enhance the energy performance of a typical high-rise residential building in Prague and assess its resilience under future climate change scenarios. A total of 18 passive strategies—including external wall and roof insulation (0.08–0.20 m), optimized Window-to-Wall Ratios (10–90 % by orientation), triple low-E glazing, and dynamic shading overhangs—were evaluated alongside two active strategies (heating and cooling COP optimization) and three renewable strategies (roof-mounted photovoltaic (PV) panels with tilt, spacing, and orientation optimization).</div><div>Results show that integrating these strategies can reduce annual energy demand by up to 68.7 % under current climate conditions and by 56 %, 42 %, and 32 % in the 2020s, 2050s, and 2080s, respectively. The optimized configuration maintained acceptable indoor comfort, with Predicted Percentage Dissatisfied (PPD) values reduced by up to 18 % compared to the baseline. PV panels generated 53,875 kWh annually under current conditions, covering 69 % of thermal and electrical demand, though coverage declined under future climate scenarios due to rising cooling loads.</div><div>These findings demonstrate that a comprehensive integration of passive, active, and renewable strategies can significantly improve building performance and provide a resilient pathway toward Near-Zero Energy Buildings (NZEBs) under changing climatic conditions.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101599"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749284","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}
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