Search Results (799)

This paper examines the critical role of youth engagement in building urban climate resilience in secondary cities of West Africa, with a specific focus on Bo City, Sierra Leone. As one of the world’s most climate-vulnerable countries, Sierra Leone faces significant challenges exacerbated in urban environments where infrastructure gaps, rapid population growth, climate migration, and limited resources intersect with intensifying climate impacts (rising temperature, extreme weather events, rising sea levels, and socio-economic health impacts). We describe a pathway to invest in the adaptive capacity of this community by developing and implementing a Youth Climate Science Hub designed to inform and empower secondary school students as future climate leaders. Drawing on theories of social–ecological resilience and transformative education, we analyze how youth-centered approaches can bridge the knowledge–action gap in urban climate adaptation. The initiative represents an innovative practice-based example for building resilience in secondary cities expected to receive climate migrants while demonstrating the power of youth mobilization in creating locally appropriate climate solutions. Full article

Artificial Intelligence (AI) will drastically change the way entrepreneurs operate within their respective fields toward sustainable performance. However, although we have some data about how companies will adopt AI and how it is implemented, it is still an under-studied area of research. The goal of this study was to examine the antecedents and consequences of AI Adoption using the Technology–Organization–Environment (TOE) model and Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers collected data from 207 entrepreneurial businesses (including SMEs, startups, and knowledge-based businesses) using a structured questionnaire and analyzed the data using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3. The study’s findings suggest that facilitating conditions, social influences, and competitive pressures are all important positive factors contributing to the firm’s decision on AI Adoption. On the other hand, the data indicate that performance expectancy is a negative factor related to the company’s decision to adopt because of the “reality check” influence of the initial implementation challenges diminishing ease of use. It is also important to mention that several internal factors including effort expectancy and top management support do not have a direct influence. Most importantly, however, the results show that AI Adoption provides companies with an opportunity for strategic renewal (opportunities) and sustainable business models (holistic sustainability). Also, this research provides insight into the Resource-Based View (RBV) and Dynamic Capabilities (DC) theory by showing that AI Adoption creates a significant competitive advantage for companies, making them more successful at creating entrepreneurial and technology-based firms, while providing them increased economic, environmental, and social performance. In conclusion, AI Adoption is a major game-changer for entrepreneurs interested in sustainable practices and the ability to achieve successful, holistic, and sustainable business performance. Full article

Vascular diseases remain a major global health burden despite remarkable technological advances in vascular surgery and endovascular therapies. Conditions such as peripheral arterial disease, abdominal aortic aneurysm, carotid stenosis, chronic venous disease, diabetic vasculopathies, and vascular chronic ulcers are not only biological entities but are deeply shaped by social structures, cultural norms, and economic inequalities. This article introduces Vascular Sociology as an interdisciplinary field that integrates vascular surgery with medical sociology to provide a more comprehensive understanding of vascular health and disease. Drawing on classical and contemporary sociological theory, including concepts such as social determinants of health, embodiment, illness narratives, and the disease–illness–sickness triad, the article argues that vascular pathology reflects cumulative social exposures across the life course. Socially patterned behaviors, work conditions, food environments, healthcare access, gender norms, and geographic inequalities profoundly influence disease onset, progression, treatment decisions, and outcomes. The paper highlights how surgical success is contingent not only on technical excellence but also on patients’ social contexts, including health literacy, trust in institutions, caregiving resources, and the capacity to adhere to long-term follow-up and rehabilitation. By outlining conceptual foundations, epidemiological evidence, and mixed-methods research strategies, the article positions Vascular Sociology as a framework capable of bridging biomedical knowledge with lived experience. This approach expands the definition of vascular outcomes to include social reintegration, identity transformation, and equity of care, ultimately aiming to improve patient-centered practice, reduce disparities, and inform more socially responsive vascular health policies. Full article

Water from mountain regions is a crucial natural resource because of its major economic, social, and environmental significance. Wildfires may disrupt the normal functioning of the hydrological cycle, limiting water resources for nearby areas and degrading water quality in mountainous regions as contaminants enter water systems from the burning of vegetation and soil. In August 2022, the Serra da Estrela mountain, situated in the Mediterranean biogeographical region, was affected by a large wildfire that consumed 270 km² of the Serra da Estrela Natural Park, often resulting in severe vegetation burn, although the soil burn severity was low to moderate in most of the area. The research objective is to assess the impact of this wildfire on the hydrogeochemistry of groundwater and surface water in the Manteigas-Covão da Ametade sector of Serra da Estrela in the context of a wildfire with limited soil burn severity. Groundwater and surface water samples were collected from October 2022 to September 2023 and were analyzed for pH, Total Organic Carbon, electrical conductivity, major ions, potentially toxic elements, iron (Fe), and Polycyclic Aromatic Hydrocarbons. A stormy event in mid-September 2022, occurring before the first sampling campaign, removed most of the ash layer and likely caused transient hydrogeochemical changes in streams. However, the analytical results from the sampled waters revealed that the post-wildfire hydrogeochemical effects are not evident. In fact, the hydrogeochemical changes observed in groundwater and surface water appear to be primarily influenced by the regular hydrological behaviour of aquifers and streams. The low to moderate soil burn severity, the high soil hydrophobicity, and the temporal distribution of precipitation explain why the hydrogeochemistry was primarily influenced by groundwater flow paths, the types and weathering of local lithologies, soil types, dilution effects following wet periods, and seasonal changes in the tributaries feeding into streams, rather than by post-wildfire effects. These outcomes provide valuable insights for water resource management and for developing strategies to mitigate wildfire impacts in mountainous environments. Full article

Sustainable entrepreneurship is essential for promoting the integrated development of economic, environmental, and social systems, particularly in emerging economies such as China. Drawing on social identity theory and resource bricolage theory, this study examines how founder identity influences sustainable entrepreneurial behavior and also explores the mediating role of entrepreneurial bricolage and the moderating effect of perceived uncertainty. Using survey data from 210 Chinese new ventures, the hypotheses were tested by structural equation modeling and moderated mediation analysis. The empirical results indicate that founder identity positively influences sustainable entrepreneurship, with entrepreneurial bricolage partially mediating this relationship. Moreover, perceived uncertainty weakens the positive relationship between founder identity and bricolage. It also reduces the indirect effect of bricolage on sustainable entrepreneurship, indicating that higher uncertain environments constrain entrepreneurs’ willingness to rely on bricolage as a resource acquisition strategy. By elucidating the underlying mechanisms and boundary conditions through which founder identity influences sustainable entrepreneurial behavior, this study enriches micro-level research on sustainable entrepreneurship. It also provides practical insights for entrepreneurs and policymakers in strengthening strategic resilience and fostering the development of sustainable entrepreneurship. Full article

Artificial intelligence (AI) is increasingly regarded as a transformative enabler of sustainable logistics and supply chain management, particularly in the context of global energy transition and decarbonization efforts. This study provides a comprehensive conceptual and exploratory assessment of the multidimensional role of AI, highlighting both its potential to enhance energy efficiency and reduce greenhouse gas emissions, as well as its inherent environmental costs associated with digital infrastructures such as data centers. The findings reveal the dual character of digitalization: while predictive algorithms and digital twin applications facilitate demand forecasting, process optimization, and real-time adaptation to market fluctuations, they simultaneously generate additional energy demand that must be offset through renewable energy integration and intelligent energy balancing. The analysis underscores that the effectiveness of AI deployment cannot be captured solely through economic metrics but requires a holistic evaluation framework that incorporates environmental and social dimensions. Moreover, regional disparities are identified, with advanced economies accelerating AI-driven green transformations under regulatory and societal pressures, while developing economies face constraints linked to infrastructure gaps and investment limitations. The analysis emphasizes that AI-driven predictive models and digital twin applications are not only tools for energy optimization but also mechanisms that enhance systemic resilience by enabling risk anticipation, adaptive resource allocation, and continuity of operations in volatile environment. The contribution of this study lies in situating AI within the digital–green synergy discourse, demonstrating that its role in logistics decarbonization is conditional upon integrated energy–climate strategies, organizational change, and workforce reskilling. By synthesizing emerging evidence, this article provides actionable insights for policymakers, managers, and scholars, and calls for more rigorous empirical research across sectors, regions, and time horizons to verify the long-term sustainability impacts of AI-enabled solutions in supply chains. Full article

Establishing a mechanism for ecological product value realizing (EPVR) is a critical component of China’s ecological civilization strategy, aimed at translating the concept that “lucid waters and lush mountains are invaluable assets” into actionable economic policies. Although central government investments in the form of project for EPVR have increased significantly, surpassing CNY 700 billion by 2024, studies rarely focus on these projects and how to evaluate them. Evaluating the performance of EPVR projects is essential for optimizing resource allocation, enhancing project accountability, and ensuring the sustainable realization of ecological, economic, and social values. This study innovatively defines the conceptual connotation of EPVR projects and constructs a comprehensive performance evaluation system based on a “benefit-cost” analysis, comprising a multi-dimensional indicator system, quantifiable calculation methods, and explicit evaluation criteria. As water source protection projects are typical EPVR projects, the comprehensive water environment management project of Hongfeng Lake is selected for an in-depth empirical study. The results reveal that (1) the total annual benefits amount to CNY 923.66 million, dominated by ecological benefits (84.04%); (2) with an investment of CNY 1194.66 million, the project yields a net loss and a moderate performance index (PCPI = 0.77); (3) the project performance is primarily affected by weak economic value conversion stemming from restrictive zoning policies and underdeveloped market mechanisms for ecological services; and (4) integrated development pathways—such as ecotourism, eco-aquaculture, and ecological branding—are proposed to enhance the long-term sustainability of the project. The Hongfeng Lake case establishes a replicable framework for global assessment of analogous projects and delivers actionable insights for enhancing benefit–cost ratios in public ecological initiatives, with costs confined to data collection, modeling, and validation. Therefore, this study contributes a quantifiable and reproducible tool for the full lifecycle management of EPVR projects, thereby facilitating more informed government decision-making. Key findings reveal the following: (1) A comprehensive “Benefit-Cost” performance evaluation framework, pioneered in this study and tailored specifically for individual EPVR projects, surpasses regional-scale accounting methodologies like Gross Ecosystem Product (GEP). (2) A novel consolidated metric (PCPI) is introduced to integrate ecological, economic, and social dimensions with cost input, thus enabling direct cross-project comparison and classification. (3) The framework operationalizes evaluation by providing a detailed, adaptable indicator system with explicit monetization methods for 26 distinct benefits, thereby bridging the gap between theoretical value accounting and practical project assessment. (4) The empirical application to a drinking water source protection project addresses a critical yet understudied category of EPVR projects, offering insights into “protection-oriented” models. Full article

Driven by the dual imperatives of global energy transition and sustainable development goals, lithium-ion batteries, as critical energy storage carriers, have seen the assessment of their lifecycle reliability and durability become a core issue underpinning the sustainable operation of clean energy systems. Grounded in a multidimensional perspective of sustainable development, this study aims to establish a quantifiable and monitorable battery reliability evaluation framework to address the challenges to lifespan and performance sustainability faced by batteries under complex multi-stress coupled operating conditions. Lithium-ion batteries are widely used across various fields, making an accurate assessment of their reliability crucial. In this study, to evaluate the lifespan and reliability of lithium-ion batteries when operating in various coupling stress environments, a multi-stress collaborative accelerated model(MCAM) considering interaction is established. The model takes into account the principal stress effects and the interaction effects. The former is developed based on traditional acceleration models (such as the Arrhenius model), while the latter is constructed through the combination of exponential, power, and logarithmic functions. This study firstly considers the scale parameter of the Weibull distribution as an acceleration effect, and the relationship between characteristic life and stresses is explored through the synergistic action of primary and interaction effects. Subsequently, a multi-stress maximum likelihood estimation method that considers interaction effects is formulated, and the model parameters are estimated using the gradient descent algorithm. Finally, the validity of the proposed model is demonstrated through simulation, and numerical examples on lithium-ion batteries demonstrate that accurate lifetime prediction is enabled by the MCAM, with test duration, cost, and resource consumption significantly reduced. This study not only provides a scientific quantitative tool for advancing the sustainability assessment of battery systems, but also offers methodological support for relevant policy formulation, industry standard optimization, and full lifecycle management, thereby contributing to the synergistic development of energy storage technology across the economic, environmental, and social dimensions of sustainability. Full article

China is a major global marine fishing country, and exploring the sustainable development potential of its marine fisheries is critical to the global fisheries sector’s Blue Transformation. Based on sustainable development connotations, this study adopts the GM(1,1) model and entropy weight-TOPSIS model to predict and evaluate the marine fisheries’ sustainable development potential from 2021 to 2030, building an evaluation framework spanning economic, social, and resource-environmental dimensions. The results show an overall upward trend in the sustainable development potential during the period, with a notable 2022 trough driven by the COVID-19 pandemic, policy transitions, and complex international conditions. As adverse factors ease and long-term policies advance, the potential will continue to improve steadily. Finally, targeted policy recommendations are proposed, focusing on industrial transformation, technological innovation, resource-environment conservation, and factor guarantee to facilitate the sector’s sustainable development and Blue Transformation. Full article

Tourism, although a key driving force for the flourishing of local/regional and national economies, is also a source of distinct negative repercussions, e.g., the intense use of scarce resources, environmental deterioration, social marginalization, and the degradation of the quality of life of host communities, to name but a few. These repercussions appear to be further exacerbated under overtourism conditions in a number of highly rated tourist destinations around the globe. Identifying host communities’ perceptions of the tourism footprint/burden is essential in contemporary policy research, which seeks to realize local perspectives, values, and expectations regarding the acceptable type/level of tourism development of their land and to highlight potential policy directions for future action that ensure sustainability and resilience objectives. Grounded in an assessment of overtourism impacts in a highly rated insular destination (Santorini Island, Greece), this work aims to gather community perceptions as to the drawbacks of the current tourism trajectory through a questionnaire survey. Results demonstrate that, although respondents recognize the crucial role that tourism plays in the island’s economic profile, they also acknowledge that the rapidly escalating expansion of the sector is unsustainable in the long run, with severe repercussions for both the environment and the quality of the community’s everyday life. Full article

Coastal ecosystems are among the most biodiverse and economically valuable environments on Earth, yet they face escalating threats from climate change, development, and resource exploitation. Traditional conservation approaches have proven insufficient to address the systemic drivers of biodiversity loss, calling for transformative change that fundamentally reconfigures social–ecological systems. This semi-structured systematic literature review synthesizes current knowledge on transformative change in coastal biodiversity conservation, guided by the Social–Ecological Systems Framework (SESF) and expanded to include behavioral transformation as a central dimension. Behavioral transformation is defined as the sustained embedding of new attitudes, norms, and practices within governance, institutional, and community settings. Through a comprehensive review of academic databases (SCOPUS, Web of Science, CAB Abstracts) and gray literature, 134 studies published between 2010 and 2024 were analyzed. The synthesis identifies four interdependent pathways of transformation: (1) governance innovation and power redistribution, (2) behavioral change and stakeholder engagement, (3) socio-ecological restructuring, and (4) normative and cultural shifts in human–nature relations. Successful initiatives integrate trust-building, social justice, and participatory decision-making, linking behavioral change with institutional redesign and adaptive management. However, critical gaps remain in understanding long-term durability, equity outcomes, and scalability across governance levels. The review proposes three research priorities: (1) embedding behavioral science in conservation design, (2) employing longitudinal and cross-scale analyses, and (3) advancing adaptive, learning-based governance to enhance socio-ecological resilience. Full article

Maritime disasters pose substantial social and economic challenges and often require complex, resource-intensive search and rescue operations to minimize loss of life and damage to infrastructure. This study proposes a sustainable and quantitative framework for planning and managing underwater search and rescue operations in strong tidal current environments, with reference to the Sewol ferry disaster. Hydrodynamic current predictions over a 31-day period were analyzed to determine tidal-induced diving cycles and to estimate the depth-specific diveable time (DAT) under safe operating limits of 1 knot for a self-contained underwater breathing apparatus (SCUBA) and 1.5 knots for surface-supplied diving systems (SSDSs). Two representative dive profiles were developed: a no-decompression SCUBA plan for 26 m hull diving and a staged-decompression SSDS plan for 48 m seabed diving, considering oxygen toxicity and nitrogen narcosis limits. Workable time (WAT) analysis indicated SCUBA as optimal for hull tasks (WAT/DAT = 0.83), whereas the SSDS provided extended efficiency for deep-water operations. A redeployment model based on surface interval constraints reduced diver staffing requirements by approximately 28%. The proposed framework enhances the sustainability and resilience of marine disaster response by optimizing diver safety, operational efficiency, and resource management, contributing to sustainable marine safety systems and long-term emergency preparedness. Full article

Coastal ecosystems represent a complex and dynamic interface for renewable energy development, combining solar radiation, coastal winds, and marine biomass. In regions such as La Guajira (Colombia), these resources create a unique opportunity to design hybrid systems that integrate solar, wind, and bio-based energy generation. This study applied a multicriteria assessment encompassing technical, economic, environmental, and social dimensions to evaluate the feasibility of this integration. The study adopts a narrative review approach supported by peer-reviewed literature, satellite-derived environmental datasets, and regional technical reports. Three criteria were used to assess the potential of these bioresources: (i) availability and spatiotemporal variability, (ii) physicochemical and energetic characteristics, and (iii) suitability for thermochemical and biochemical valorisation routes. Reported data indicate that pelagic Sargassum reaching the wider Caribbean contains 20–30% ash, 25–35% carbohydrates, and lower heating values between 8 and 12 MJ kg⁻¹, while cactus biomass in arid environments can reach LHV of 13–16 MJ kg⁻¹ and moisture contents below 15%. The coastal region of La Guajira also receives solar irradiation levels exceeding 6 kWh m⁻² day⁻¹ and wind speeds above 8 m s⁻¹, creating favourable conditions for hybrid bioenergy–renewable systems. Finally, the multicriteria analysis reveals that integrating coastal renewable resources could drive the transition towards a circular, inclusive, and low-carbon bioeconomy in coastal territories such as La Guajira. Full article

Purpose: This paper takes an original approach to the topic of social entrepreneurship. The purpose of this study is to identify and analyze social entrepreneurship capital resources in rural areas based on farms located in rural areas of the Silesian Voivodeship (region in Poland). The research presented in this paper covers the characteristics of local change leaders in the context of building a sustainable foundation for the development of pro-social and economic activities. Methodology: The first stage of this project, a literature review, involved identifying the social entrepreneurship environment in rural areas. The second stage of this research involved an analysis of the initiative potential of change leaders. The empirical research used a survey method, in-depth interviews, and participant observation. Findings and implications: The most important findings of this research concern the possibilities for the development of social entrepreneurship in rural areas with the participation of local change leaders (agents). This article analyzes the characteristics of the initiative potential of change leaders in the context of their role as animators of social life and creators of sustainable mechanisms for implementing innovative social practices. The conclusions formulated in this article are of an applied nature. This paper highlights the need to create a system of real support through the effective activation of organizations operating in rural areas, strengthening the role of change leaders as animators of local life, local partnerships and equal opportunities. Full article

The United Nations Sustainable Development Goals (SDGs) set the criteria for sustainable economic development. These goals encompass four dimensions, including social, human, economic, and environment, of which the last two goals (i.e., economic and environment) were contemplated in this study. A case study for Corner Brook, a middle-sized city, located in the western region of the province of Newfoundland and Labrador, Canada, revealed that the current urban water use pricing mechanism is not matched with the SDGs, which reflects impediments to the city’s achievements to become a sustainable economic development community. Residents are billed a fixed rate for water use rather than a tiered or usage-based rate. This is not a resilient policy, as it fails to conserve water resources, ultimately leading to wasting freshwater produce, inhibiting economic growth, creating social exclusion, and degrading natural resources. We recommend changing the current flat-rate based water billing mechanism to either increasing block tariffs or two-part tariffs, adjusted by seasonal rates; issuing governmental policies, such as rebates, subsidies, and lower property taxes to entice residents’ willingness-to-install water meters on their premises; encouraging provisions such as using rain barrels to help cut down water consumption; and raising public knowledge through social media on how high per capita water use is in the region, including how much it costs to install water meters. These recommendations will also help provincial and municipal policymakers pursue the SDGs. Full article