Search Results (92)

This study develops a three-dimensional evaluation framework integrating policy instruments, policy themes, and policy subjects to analyze China’s ESG (Environmental, Social, and Governance) policies. Based on 82 central government policy documents issued between 2007 and 2024, it employs content analysis, Latent Dirichlet Allocation (LDA) topic modeling, and social network analysis. The findings reveal a structural imbalance in policy instruments, with overreliance on environmental instruments and insufficient application of supply side and demand side mechanisms. Four major policy themes are identified: environmental governance, corporate responsibility and disclosure, technological innovation, and financial development. These themes show evolving priorities aligned with national strategies. Social network analysis shows weak coordination among stakeholders, with only a few central agencies driving most policies. This research contributes a systematic and quantitative approach to ESG policy evaluation, offering insights into structural shortcomings and governance fragmentation. It provides actionable recommendations for optimizing instrument use, enhancing thematic design, and improving multi-agency collaboration in ESG policymaking. This study contributes to the achievement of the United Nations Sustainable Development Goals (SDGs), particularly SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action), by evaluating China’s ESG policies and proposing a more balanced and pragmatic policy framework. Full article

The quest for sustainable agriculture demands nutrient delivery systems that align productivity with environmental responsibility. This review critically evaluates stimuli-responsive starch-based biopolymer coatings for controlled-release fertilizers (CRFs), highlighting their structure, functionality, and agronomic relevance. Starch, an abundant and biodegradable polysaccharide, offers intrinsic advantages such as modifiability, film-forming ability, and compatibility with green chemistry. The paper discusses starch’s physicochemical characteristics, its functionalization to achieve responsiveness to environmental triggers (pH, moisture, temperature, ionic strength), and coating strategies like in situ polymerization, grafting, and nanocomposite integration. A comprehensive analysis of release kinetics, swelling behavior, biodegradability, and water retention is provided, followed by evaluations under simulated field conditions, encompassing various soil types, environmental stressors, and crop responses. Comparative insights with other smart biopolymers such as chitosan, alginate, and cellulose underscore starch’s unique position in CRF technology. Despite promising developments, the review identifies critical research gaps, including limitations in scalability, coordination of multi-stimuli responses, and the need for extensive field validation. This work serves as a consolidated platform for researchers, policy makers, and agro-industrial stakeholders aiming to design smart, eco-friendly fertilizers that address global food security while minimizing ecological footprints. Full article

Background/Objectives: BRIGHTLIGHT was the national evaluation of adolescent and young adult (AYA) cancer services in England. BRIGHTLIGHT results were not available when the most recent healthcare policy (NHSE service specifications for AYA Cancer) for AYA was drafted and therefore did not consider BRIGHTLIGHT findings and recommendations. We describe the co-development and delivery of a Policy Lab to expedite the implementation of the new service specification in the context of BRIGHTLIGHT results, examining the roles of multi-stakeholders to ensure service delivery is optimised to benefit AYA patients. We address the key question, “What is the roadmap for empowering different stakeholders to shape how the AYA service specifications are implemented?”. Methods: A 1-day face-to-face policy lab was facilitated, utilising a unique, user-centric engagement approach by bringing diverse AYA stakeholders together to co-design strategies to translate BRIGHTLIGHT evidence into policy and impact. This was accompanied by an online workshop and prioritisation survey, individual interviews, and an AYA patient workshop. Workshop outputs were analysed thematically and survey data quantitatively. Results: Eighteen professionals and five AYAs attended the face-to-face Policy Lab, 16 surveys were completed, 13 attended the online workshop, three professionals were interviewed, and three AYAs attended the patient workshop. The Policy Lab generated eight national and six local recommendations, which were prioritised into three national priorities: 1. Launching the service specification supported by compelling communication; 2. Harnessing the ideas of young people; and 3. Evaluation of AYA patient outcomes/experiences and establishing a national dashboard of AYA cancer network performance. An animation was created by AYAs to inform local hospitals what matters to them most in the service specification. Conclusions: Policy and research evidence are not always aligned, so when emerging evidence does not support current guidance, further exploration is required. We have shown through multi-stakeholder involvement including young people that it was possible to gain a different interpretation based on current knowledge and context. This additional insight enabled practical recommendations to be identified to support the implementation of the service specification. Full article

Rapid urban expansion has led to an increasing number of people relocating to Urban–Rural Fringe Areas (URFAs) in China, with related development placing pressure on ecosystems in these locations. Community parks (CPs) are a key category of urban public park (UPPs) in Chinese planning and play a vital role in improving residents’ quality of life and enhancing regional environment, whilst also promoting sustainable urban development. Consequently, CPs are considered by many to be integral components of “communities” in Chinese cities. Drawing on documentary analysis and field research, this paper explores the socio-economic and ecological values associated with CP investments in URFAs in China. It assesses governmental policies and expert perspectives concerning CPs’ development in URFAs and analyses the factors influencing their planning and delivery. The research highlights how policy and stakeholders’ viewpoints impact the development of sustainable green space in URFAs. To enhance the construction of multi-functional CPs in URFAs, we propose a series of characteristics that need to be considered in future developments, including stakeholder engagement, resident needs, and park design. These insights offer an evidence-based reference for decision-makers, aiming to better meet the requirements of residents and support the development of urban sustainability. Full article

Sustainable economic decision making increasingly requires robust methodologies capable of withstanding deep uncertainty, particularly in volatile financial and resource-constrained environments. This paper introduces a unified optimization framework based on nonlinear scalarizing functionals, designed to support resilient planning under structural ambiguity. By integrating performance objectives with risk boundaries, the proposed model generalizes classical robustness paradigms—such as strict and reliable robustness—into a single tractable and economically interpretable formulation. A key innovation lies in translating scenario-based uncertainty into a directional performance index, aligned with stakeholder-defined sustainability criteria and encoded via a preference vector k. This scalarization approach supports behaviorally consistent and computationally efficient decision-making even in the absence of complete probabilistic information. A case study in multi-scenario portfolio allocation demonstrates the model’s capacity to maintain return stability while respecting predefined risk tolerances. Computational benchmarks confirm the framework’s scalability to larger problem instances, validating its practical applicability. Beyond financial applications, the model also holds promise for sustainable policy design, infrastructure planning, and resource allocation under deep uncertainty. This work contributes to bridging the gap between abstract optimization theory and applied sustainability challenges, offering a robust and adaptive decision-support tool for real-world implementation. Full article

This study investigates the convergence of blockchain, artificial intelligence (AI), near-field communication (NFC), and mobile technologies in electronic payment (e-payment) systems, proposing an innovative integrative framework to deconstruct the systemic innovations and transformative impacts driven by such technological synergy. Unlike prior research, which often focuses on single-technology adoption, this study uniquely adopts a cross-technology convergence perspective. To our knowledge, this is the first study to empirically map the multi-technology convergence landscape in e-payment using scientometric techniques. By employing bibliometric and thematic network analysis methods, the research maps the intellectual evolution and key research themes of technology convergence in e-payment systems. Findings reveal that while the integration of these technologies holds significant promise, improving transparency, scalability, and responsiveness, it also presents challenges, including interoperability barriers, privacy concerns, and regulatory complexity. Furthermore, this study highlights the potential for convergent technologies to unintentionally deepen the digital divide if not inclusively designed. The novelty of this study is threefold: (1) theoretical contribution—this study expands existing frameworks of technology adoption and digital governance by introducing an integrated perspective on cross-technology adoption and regulatory responsiveness; (2) practical relevance—it offers actionable, stakeholder-specific recommendations for policymakers, financial institutions, developers, and end-users; (3) methodological innovation—it leverages scientometric and topic modeling techniques to capture the macro-level trajectory of technology convergence, complementing traditional qualitative insights. In conclusion, this study advances the theoretical foundations of digital finance and provides forward-looking policy and managerial implications, paving the way for a more secure, inclusive, and innovation-driven digital payment ecosystem. Full article

Teachers with mental illness are vulnerable to work-related triggers that can lead to relapse, affecting their mental health and ability to recover, stay employed, and deliver quality education. This empirical study explored such triggers among public school teachers in Limpopo Province, South Africa. Using Bronfenbrenner’s Ecological Systems Theory, a qualitative phenomenological design was adopted. Semi-structured face-to-face interviews were conducted with 14 participants that were purposively selected across four hospitals. Data were audio-recorded, transcribed verbatim, and analyzed using Tesch’s eight-step open-coding method. Findings revealed being gossiped about by colleagues, excessive workload, limited leadership and parental support, classroom management challenges, high performance expectations without support, and inadequate teacher mental health policies in schools. These triggers can lead to frequent absenteeism and poor teaching outcomes. They will further increase the risk of medication resistance and long-term cognitive decline due to progressive structural brain damage as a result of multiple relapses. The study highlights the urgent need for multi-stakeholder collaboration, including clinicians, academic institutions, union representatives, and the Department of Basic Education, to co-develop effective, context-sensitive strategies to mitigate work-related triggers of mental illness relapse. These strategies are not only essential for enabling long-term workforce participation but also advancing sustainable mental health and well-being. Full article

Iraq has faced escalating water scarcity over the past two decades, driven by climate change, upstream water withdrawals, and prolonged economic instability. These factors have caused deterioration in irrigation systems, inefficient water distribution, and growing social unrest. As per capita water availability falls below critical levels, Iraq is entering a period of acute water stress. This escalating water scarcity directly impacts water and food security, public health, and economic stability. This study aims to develop a general framework combining decision support systems (DSSs) with Integrated Comprehensive Water Management Strategies (ICWMSs) to support water planning, allocation, and response to ongoing water scarcity and reductions in Iraq. Implementing such a system is essential for Iraq to alleviate its continuing severe situation and adequately tackle its worsening water scarcity that has intensified over the years. This integrated approach is fundamental for enhancing planning efficiency, improving operational performance and monitoring, optimizing water allocation, and guiding informed policy decisions under scarcity and uncertainty. The current study highlights various international case studies that show that DSSs integrate real-time data, artificial intelligence, and advanced modeling to provide actionable policies for water management. Implementing such a framework is crucial for Iraq to mitigate this critical situation and effectively address the escalating water scarcity. Furthermore, Iraq’s water management system requires modifications considering present and expected future challenges. This study analyzes the inflows of the Tigris and Euphrates rivers from 1933 to 2022, revealing significant reductions in water flow: a 31% decrease in the Tigris and a 49.5% decline in the Euphrates by 2021. This study highlights the future 7–20% water deficit between 2020 and 2035. Furthermore, this study introduces a flexible, tool-based framework supported by a DSS with the DPSIR model (Driving Forces, Pressures, State, Impacts, and Responses) designed to address and reduce the gap between water availability and increasing demand. This approach proposes a multi-hazard risk matrix to identify and prioritize strategic risks facing Iraq’s water sector. This matrix links each hazard with appropriate DSS-based response measures and supports scenario planning under the ICWMS framework. The proposed framework integrates hydro-meteorological data analysis with hydrological simulation models and long-term investment strategies. It also emphasizes the development of institutional frameworks, the promotion of water diplomacy, and the establishment of transboundary water allocation and operational policy agreements. Efforts to enhance national security and regional stability among riparian countries complement these actions to tackle water scarcity effectively. Simultaneously, this framework offers a practical guideline for water managers to adopt the best management policies without bias or discrimination between stakeholders. By addressing the combined impacts of anthropogenic and climate change, the proposed framework aims to ensure rational water allocation, enhance resilience, and secure Iraq’s water strategies, ensuring sustainability for future generations. Full article

Food loss and waste are critical challenges in Taiwan’s agri-food supply chain, deteriorating security and resource efficiency. By employing the best–worst method (BWM), a multi-criteria decision-making model was developed in this study to evaluate the severity of losses and wastes. Combining literature review results with expert survey analysis results, key loss points, and mitigation strategies were identified to enhance sustainability and efficiency in Taiwan’s agricultural food system. Among the seven stages of the agricultural food supply chain, supermarket waste (16.95%) was identified as the severest, followed by government policies (16.63%), restaurant waste (15.35%), processing loss (14.71%), production site loss (13.64%), household waste (11.93%), and logistics/storage/distribution loss (10.79%). In the subcategories of each supply chain stage, the eight severe issues were identified as “Inadequate planning and control of overall production and marketing policies” under government policies, “Adverse climate conditions” and “Imbalance in production and marketing” under production site loss, “Inaccurate market demand forecasting” and “Poor inventory management at supermarkets” under supermarket waste, and “Improper storage management of ingredients leading to spoilage” as well as “Inability to accurately forecast demand due to menu diversity” under restaurant waste. The least severe issues included “Poor production techniques” under production site loss. Other minor issues included “Inefficient use of ingredients due to poor cooking skills”, “Festive culture and traditional customs”, and “Suboptimal food labeling design”, all of which contributed to household waste. Based on these findings, we proposed recommendations to mitigate food loss and waste in Taiwan’s agricultural food supply chain from practical, policy, and academic perspectives. The results of this study serve as a reference for relevant organizations and stakeholders. Full article

The rapid integration of generative artificial intelligence (AI) into educational environments raises both opportunities and concerns regarding assessment design, academic integrity, and quality assurance. While new generation AI tools offer new modes of interactivity, feedback, and content generation, their use in assessment remains insufficiently pedagogically framed and regulated. In this study, we propose a new framework for generative AI-supported assessment in higher education, structured around the needs and responsibilities of three key stakeholders (branches): instructors, students, and control authorities. The framework outlines how teaching staff can design adaptive and AI-informed tasks and provide feedback, how learners can engage with these tools transparently, and how institutional bodies can ensure accountability through compliance standards, policies, and audits. This three-branch multi-level model contributes to the emerging discourse on responsible AI adoption in higher education by offering a holistic approach for integrating AI-based systems into assessment practices while safeguarding academic values and quality. Full article

The conventional linear economic model has intensified global resource depletion and environmental degradation, underscoring the pressing necessity for a transformation toward the Circular Economy (CE). Currently, research generally segregates materials, products and services within the CE, overlooking their hierarchy and interactions in circular performance. Employing a mixed methodology of induction and deduction, this study constructs a triple-level proposal for the CE from a design perspective. The proposal integrates material recycling, product reuse and service circulation into a multi-hierarchical progression, clarifying the priorities of the CE and sustainable design. It not only enriches the theoretical basis of the CE and sustainable design, but also offers a transformative perspective for optimizing circular performance. Case studies in the deductive stage provide measurable criteria to assess the performance of each level, while a design workshop featuring the CE canvas and heuristics is adopted to test the effectiveness of our proposal in guiding practice. The results demonstrate the theoretical and practical feasibility of the proposal. This study emphasizes the progression from materials to products and services, exploring the potential of the triple-level proposal in guiding design and improving circular performance. By proposing policy recommendations based on the proposal, this study provides stakeholders with an actionable roadmap for CE implementation. Full article

Rapid population growth, climate change, and resource depletion pose significant challenges to global food production, demanding sustainable solutions. A Life-Cycle Assessment (LCA) provides a structured framework for evaluating the environmental impact of food systems throughout their entire life cycle. This review examines how an LCA can be integrated with circular economy principles to address sustainability challenges, optimize resource use, and minimize waste in food and alcoholic beverage production. A systematic review of LCA applications in the agri-food sector was conducted, analyzing studies published across different regions. The selection criteria included relevance to circular economy strategies, waste valorization approaches, and assessing environmental impacts using LCA methodologies. The analysis explores explicitly the synergy between food and wine production within the broader agri-food system, considering shared sustainability challenges and opportunities for resource optimization. Key methodologies include cradle-to-grave assessments and the evaluation of waste-to-resource technologies. The findings demonstrate that LCA effectively identifies critical environmental hotspots, enabling the implementation of eco-design and resource recovery practices. Circular strategies, such as the use of renewable energy, precision agriculture, and nutrient recovery, significantly enhance sustainability. However, gaps remain in accounting for social and regional variability, as well as in integrating advanced technologies. When combined with circular economy principles, LCA provides actionable insights for policy development and sustainable practices. Advancing LCA methodologies and fostering multi-stakeholder collaboration are essential for creating resilient and environmentally responsible agri-food systems. Full article

The rapid development of the new energy vehicle industry has resulted in a significant number of waste electric vehicle batteries (WEVBs) reaching the end of their useful life. The recycling of these batteries holds both economic and environmental value. As policy is a critical factor influencing the recycling of waste electric vehicle batteries, its role in the network warrants deeper investigation. Based on this, this study integrates both subsidy and penalty policy into the design of the waste electric vehicle battery reverse logistics network (RLN), aiming to examine the effects of single policy and policy combinations, thereby filling the research gap in the existing literature that predominantly focuses on single-policy perspectives. Considering multiple battery types, different recycling technologies, and uncertain recycling quantities and qualities, this study develops a fuzzy mixed-integer programming model to optimize cost and carbon emission. The fuzzy model is transformed into a deterministic equivalent form using expected intervals, expected values, and fuzzy chance-constrained programming. By normalizing and weighting the upper and lower bounds of the multi-objective functions, the model is transformed into a single-objective optimization problem. The effectiveness of the proposed model and solution method was validated through an empirical study on the construction of a waste electric vehicle battery reverse logistics network in Zhengzhou City. The experimental results demonstrate that combined policy outperforms single policy in balancing economic benefits and environmental protection. The results provide decision-making support for policymakers and industry stakeholders in optimizing reverse logistics networks for waste electric vehicle batteries. Full article

Housing environments are designed to provide comfort and protection but climate change has compromised the resilience of residential buildings. This study examines the impacts of climate change on UK residential buildings, identifying key vulnerabilities and adaptation strategies. A qualitative approach was used, involving ten semi-structured interviews with experts. A thematic analysis of the interview transcripts using NVivo (V.14) software revealed connections between climate change drivers and building factors such as location, age, orientation, typology, and material integrity. Adverse effects on buildings and occupants include structural degradation, increased energy demands, and indoor discomfort. This study underscores the importance of multi-stakeholder collaboration among housing owners, community members, construction professionals, and policymakers to enhance the resilience of buildings. Construction professionals are seen as key players in the implementation of mitigation and adaptation measures. This study emphasises the need for proactive adaptation measures, informed policy interventions, and improved construction practices to safeguard housing against climate change. It contributes to understanding the effects of climate change on UK residential buildings and offers strategic insights for improving their resilience. Full article

With the rapid expansion of Chinese cities, traditional siheyuan in some old urban areas and historic districts have gradually transformed into overcrowded courtyard tenements inhabited primarily by rural migrants. Multiple families reside together in one siheyuan, creating a housing model akin to “shared housing”. Due to the complex relationship between property rights holders and users, coupled with the absence of a unified management and supervision system, siheyuan residents are confronted with the predicament of aging buildings, backward infrastructure, and poor living conditions. Finding a means of improving living conditions while maintaining the existing settlement style and population structure is an issue that demands urgent resolution. This study focuses on Mizhi, an ancient city in Shaanxi Province, China. Through the investigation and mapping of 31 typical siheyuan and in-depth, semi-structured interviews with 160 families, it reveals the property rights division, current spatial usage, and future demands of the residents of traditional settlements dominated by siheyuan and proposes suggestions for their renewal. This study finds that siheyuan can be categorized into three types based on property rights, that the primary motivation for migration is to access quality educational resources, and that the insufficiency of per capita facilities is the primary source of inconvenience in residents’ lives. Future siheyuan renewal efforts should adopt a multi-stakeholder framework that integrates the government, urban planners, and residents. Improving the residential environment requires a dual strategy: optimizing spatial design and strengthening policy management. This research provides fundamental data for the protection and renewal of siheyuan and has practical reference value for formulating future settlement development strategies. Full article