In recent years, humanitarian logistics have received much attention from practitioners and researchers due to the significant damage from natural disasters on a global scale. This case study investigated the potential of leveraging social media data to enhance the effectiveness of humanitarian logistics in Vietnam after the disaster caused by Typhoon Yagi. The research examined public sentiment about the disaster response efforts, pinpointed the needs of critical relief, and assessed the performance of various machine learning models in classifying disaster-related content on social media. Data was sourced from multiple platforms, preprocessed and then categorized according to the damage types, required relief supplies, and sentiment labels. After that, different machine learning models were utilized to analyze the negative impact of the disaster. The analysis revealed that housing and transportation were the primary sources of negative public sentiment, indicating significant unmet needs in these areas. In contrast, generally more positive responses were received in relation to cash assistance, food, and medical support. A comparative evaluation of 12 machine learning models suggested that conventional algorithms, such as Random Forest, Support Vector Machine, and Logistic Regression, outperformed deep learning models in sentiment classification tasks. These findings shed light on the value of social media as a real-time indicator of public perception and logistical effectiveness. Therefore, incorporating sentiment analysis into the planning of disaster response can support more adaptive, timely, and community-informed decision-making for governments and humanitarian organizations.
Recent literature has explored the nexus between macroeconomic policy uncertainty (MPU) and the environment in compliance with Sustainable Development Goals (SDGs). This study contributes to the literature by exploring the possible or negative environmental effects of MPU. The present study reviewed 117 research articles published from 2020 to 2025 to understand the multifaceted association between MPU and environmental sustainability, having considered sectoral and spatial dynamics, asymmetric responses, and heterogeneous responses from different countries and regions. The findings suggested that the relationship was complex, and varied upon the economic sector, emissions source, policy regime, and geographical location. MPU reduced the speed of transition from the first to the second phase of the Environmental Kuznets Curve (EKC). In the short run, MPU can reduce emissions due to temporary economic slowdowns. Nevertheless, it can be responsible for negative long-term environmental performance by delaying green investments, increasing fossil fuel reliance, and weakening institutional effectiveness. Sectoral analyses revealed that MPU raised emissions in the energy and industrial sectors and reduced them in the agricultural sector. While strong institutional quality helped to mitigate emissions, weak institutions raised environmental problems. The findings of this review suggested that policymakers should design adaptive, sector-sensitive, and regionally coordinated environmental strategies to protect the environment from macroeconomic policy volatility.
Industrial symbiosis (IS) represents a strategic framework for collaboration among companies through innovative partnerships, which aimed at optimizing resource utilization, reducing environmental impact, and promoting sustainable development in line with the principles of circular economy. This study conducted a systematic literature review (SLR) and a quantitative analysis of the effectiveness of IS tools in resource management. Publications from January 2020 to December 2024 were retrieved from the established databases such as SpringerLink, ScienceDirect, EBSCO, and DOAJ, with a focus on industrial engineering, environmental management, circular economy, sustainable development, resource conservation, and recycling. Advanced methodologies including the Fuzzy Analytic Hierarchy Process (FAHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) were applied to evaluate four key dimensions, i.e., Decision-Making (DMD), Geographical Location (GLD), Strategic Planning (SD), and Lean Manufacturing (LMD), along with 21 subcriteria. The results indicated that DMD and GLD functioned as causal dimensions influencing SD and LMD, while alternatives such as Intelligent Waste Recycling Systems (IWRS) and Life Cycle Assessment (LCA) were considered to be highly efficient in resource utilization. The identification of dominant relationships via the threshold value of α = 0.58 highlighted strategic leverage points for implementing sustainable manufacturing practices. These findings emphasize that effective DMD, combined with strategic planning based on geographical considerations and application of technological tools, is critical for optimizing resources, enhancing environmental protection, and fostering economic and social development, thus providing clear guidance for the implementation of IS strategies in industrial settings.
This paper investigated how trade openness and income inequality jointly shaped carbon outcomes using a panel of 94 countries from 1966 to 2015. On average, greater openness and lower inequality are associated with reduced CO2 emissions; however, their interaction is proved to be positive, suggesting that while trade openness could contribute to lower carbon emissions in relatively equal societies, its benefits diminished and even reversed under high inequality. In addition, heterogeneity analyses revealed stronger elasticities in non-high-income and high-openness subsamples, a statistically significant inequality threshold and effects that intensify at upper CO2 quantiles. Therefore, policy packages that pair trade facilitation with inequality compression and clean-technology diffusion are likely to be most effective, particularly where inequality and openness are already high. Future research should extend the analysis to consumption-based emissions, sectoral pathways, and institutional moderators to refine the trade-inequality-carbon nexus and its implications for environmental sustainability.
The construction and real estate industry has been held responsible for nearly 40% of global CO2 emissions, a key focus for gathering efforts to combat climate change. Timber, a sustainable and carbon-storing building material, unravels significant potential to decarbonize the sector by replacing carbon-intensive materials such as steel and concrete. However, the full potential of timber remains underutilized, owing to a lack of knowledge, transparency, and investment opportunities in the forestry and timber industries. This paper addressed this gap by developing a comprehensive framework for investors to evaluate listed companies in the timber construction sector, based on their sustainability and financial performance. Specifically, the study sought to answer: How can investors effectively channel capital into the carbon storage capacity of timber, and what approaches are both sustainable and economically viable for timber investments? To achieve this, this paper examined how investors could invest in the CO2 storage capacity of timber, with a particular focus on the creation of Environmental, Social, and Governance (ESG) Timber Score to evaluate the sustainability of listed companies in the sector. By integrating sustainability and financial performance metrics, this study provided a robust framework that enabled investors to assess both the economic and environmental aspects of their investments. The findings revealed investment opportunities in both traditional markets (North America and Europe) and emerging markets (Asia and Africa). The current study emphasizes that investment decisions, if probable, should be tailored to individual preferences to achieve different levels of sustainability and financial goals.
This single case study examined how globalization shaped the sustainability of strategic management in Tazweed Venture Capital in Jordan. Qualitative evidence from six senior managers, triangulated with secondary sources, identified three dominant challenges: economic (47%; including competitiveness, regulation, and supply chains), environmental (25%; including waste management, degradation, and energy), and socio‑cultural (28%; including language and time‑zone frictions, regulatory diversity, and supplier alignment). In addition, the current study identified three opportunity clusters led by culture and society (45%; including partnerships, reputation, and innovation), followed by environment (30%; including renewable integration and footprint reduction) and economic (25%; including cost efficiencies and market expansion). Based on these findings, the study recommended (1) institutionalizing supplier sustainability due diligence and traceability; (2) adopting location‑specific practices with measurable targets; (3) embedding cross‑functional governance linked to key performance indicators; (4) leveraging partnerships and blended finance for renewables and circularity; and (5) formalizing risk‑based Environmental, Social, and Governance (ESG) materiality screens for cross‑border operations. The contribution is a practice‑oriented framework that connects globalization pressures to sustainability initiatives and outcomes for venture capital actors in emerging economies.
Circularity and regenerative tourism are instruments that influence the sustainability and resilience of the settings where tourism activities take place. Despite this, these instruments fail to consolidate all the theoretical integrity that corresponds to them as key elements for achieving sustainable development in rural contexts. Hence, the purpose of this study is to theoretically and methodologically re-evaluate the guiding principles of circular and regenerative tourism as tools to guarantee the sustainability and resilience of tourism. It highlighted the tangible and intangible resources of rural communities and developing potential that has not yet been sufficiently explored. The deductive method was used along with other methods derived from practices, such as document reviews, observations, surveys, interviews, and scaling. Techniques such as synthetic analysis, abstractions, comparisons, and generalisations were used to study the potential of circularity and regenerative tourism for sustainable tourism development in the rural parishes in the province of Manabí. The impact on improving the living conditions in host communities were also revealed. To conclude, the revaluation of the theoretical and methodological elements, and principles associated with circularity and regenerative tourism as instruments could help achieve sustainable development in rural communities.
Coastal management is crucial for achieving the blue economy, which prioritizes the sustainable utilization of marine resources for economic growth, improved livelihoods, and the welfare of the ocean ecosystem. However, the current body of knowledge on the interface of coastal management and the blue economy is fragmented. The identified fragmentation leads to the demand for a thorough understanding of research trends, major issues, and prospects. Therefore, this research aims to provide a systematic overview of the global research landscape on coastal management in the context of the blue economy. Bibliometric analysis was applied to examine 85 articles indexed in the Web of Science (WoS) and Scopus databases, with a focus on the period covering 2013 to 2024. The analysis was conducted with different tools such as biblioshiny R package, VOSViewer and NVivo 12 Plus to map the co-occurrence of keywords and thematic evolution. The results demonstrated several emerging research trends, including sustainable development, marine spatial planning, conservation management, marine environment and policy, as well as environmental impact assessment. Despite these developments, gaps were identified in areas such as policy integration, technological innovation for coastal monitoring, and equitable benefit-sharing mechanisms in the blue economy framework.
Ukrainian enterprises face significant challenges in leveraging innovation for competitiveness and sustainable development amidst post-war reconstruction and global market integration, with limited empirical evidence guiding effective strategies. This study examined the impact of innovative activity on companies’ competitiveness and its contribution to sustainable development within Ukraine’s national economy from 2018 to 2024. Utilizing a quantitative data analysis of 612 enterprises across key sectors such as information technology (IT), manufacturing, and agriculture, the research employed fixed-effects regression models on longitudinal data from Ukraine’s State Statistics Service. Key metrics included Research and Development (R&D) Intensity, Patent Activity, Process Innovation Adoption, alongside competitiveness indicators (Export/Revenue Growth and Market Share), as well as sustainability indicators (Job Creation, Energy Efficiency, and Greenhouse Gas (GHG) Emissions). Results demonstrated that a 1% increase in R&D Intensity drove 2.71% higher Export Growth (p < 0.001), while Process Innovation boosted Revenue by 4.38% per implementation level (p < 0.01) and reduced GHG Emissions by 12.7% (p < 0.001). A critical R&D Intensity threshold of 3.5% triggered exponential returns in competitiveness. Sectoral analysis revealed superior innovation resilience of IT (78% wartime retention vs. 42% in manufacturing) and reliance on Non-R&D Innovation for Job Creation in agriculture. The findings necessitate tiered R&D tax incentives for enterprises that exceed the 3.5% intensity benchmark, as well as the establishment of sector-specific innovation hubs. Policymakers should prioritize sustainability-linked financing and wartime adaptation funds targeting regions with more than 15% infrastructural damage. This study provided the first quantitative evidence linking types of innovation to dual competitiveness and sustainability outcomes in conflict-affected Ukraine, hence offering actionable pathways for economic recovery.
This study proposed a socio-technical model to transform the national food system in Indonesia toward greater inclusiveness and sustainability. By integrating circular supply chain management (CSCM), macro-ergonomics, and human factors, the research examined how interactions among key stakeholders such as farmers, micro, small, and medium enterprises (MSMEs), consumers, and government shaped sustainability and equity outcomes. A mixed-methods approach combining thematic analysis (TA), social network analysis (SNA), and agent-based modelling (ABM) was employed to identify structural bottlenecks and leverage points for systemic change. Qualitative insights informed network structures and behavioral rules within the simulation model. The results indicated that MSMEs and consumers exerted strong systemic influence on behavioral change and redistribution potential despite their peripheral network positions, while government actors, though structurally powerful, exhibited limited embeddedness in day-to-day interactions. Simulation scenarios demonstrated that integrated interventions combining policy enforcement, education, and technology incentives yielded the greatest improvements, including reductions in food loss and waste (FLW), greater equity, and improved sustainability performance. The proposed interdisciplinary framework provides actionable guidance for policy design and system reconfiguration in emerging economies which are facing challenges from the complex food system.
Rapid expansion of biodiesel production has generated large streams of low-value crude glycerol, whose role in industrial systems is partially explored. Since this stream is a by-product of policy-driven renewable energy and simultaneously a burden of waste management, its use as a metalworking fluids (MWFs) base stock provides a direct test of whether the transition of energy could be translated into cleaner manufacturing rather than impact shifting. This paper examined whether deploying glycerol-based MWFs in machining could reconfigure waste flows and occupational exposures, to be in line with circular economy and industrial-ecology principles, and under what conditions this could support sustainability transitions. Using a critical narrative review of technical, environmental, and policy literature, we synthesized evidence on the performance of glycerol as a base fluid and the system-level constraints that governed its adoption. The synthesis suggested that, in suitable machining regimes and under enforceable governance conditions, prospective gains included the reclassification of metallic residues from hazardous to non-hazardous streams and improved occupational safety by reducing reliance on biocides and volatile organic compounds. These prospective gains were conditional: adoption was constrained by thermal instability, possible acrolein formation at elevated temperatures, and inconsistent feedstock quality. The paper therefore offered a transdisciplinary synthesis connecting technical performance, waste-classification regimes, and governance instruments. The derived policy needs covered the minimum impurity specifications for industrial glycerol, clearer waste-coding guidance for swarf and spent fluids, and incentives for monitoring and process adaptation to secure net sustainability benefits. In this connection, Hephaestus serves as a metaphor for glycerol-based MWFs: a marginal by-product that could rework glycerol and metallic residues into useful resources, when technical optimization and institutional coordination (including standards and partnerships aligned with SDG 17) are in place.
This study examined climate-related risks to public health, settlements and human security in Thailand, with a particular focus on vulnerable groups such as children and the elderly. Distinguishing itself from traditional assessments, this research innovatively integrated future climate projections from 2016–2035 under a high-emission scenario of RCP8.5 with data about current structural vulnerability, based on the Multidimensional Poverty Index (MPI) in 2024. This approach proactively identified “at-risk” areas where future environmental hazards might exacerbate existing social inequalities. The analysis on 76 provinces except Bangkok, utilized Bivariate Polygon Render to visualize risk-poverty intersections and Local Spatial Autocorrelation (Local Moran’s I) to rigorously detect statistically significant spatial clusters. Results indicated that the Northeastern and Western regions consistently faced elevated risks. Quantitative analysis confirmed critical “High-High” hotspots in the Northeast, specifically in Khon Kaen (LMI = 1.103, p = 0.004) and Buriram (LMI = 1.724, p = 0.008), where high climate exposure significantly overlapped with child multidimensional poverty. Conversely, Mae Hong Son emerged as a significantly “Low-High” spatial outlier (LMI = -0.634, p = 0.008), highlighting a region with concentrated elderly vulnerability despite lower relative climate risks. These findings underscored the utility of MPI over simple population counts for policy targeting. Ultimately, the study supports climate justice principles by providing spatially explicit evidence to guide interventions that address both local needs and structural inequalities.
The Greek financial crisis erupted in 2009 led to unprecedented austerity policies in the public sector. This study examined how crisis-driven wage cuts were perceived to have affected the motivation and self-reported productivity of public employees. Building upon equity theory, fair wage–effort arguments, effort–reward imbalance, and public service motivation (PSM), the research developed a perception-based framework linking compensation fairness to motivation and performance in a post-crisis public administration context. These theoretical insights were combined with a cross-sectional survey of 112 employees working in the Greek public sector. Descriptive statistics summarized respondents’ demographic profiles and perceptions, while Likert-scale questions gauged the impact of the crisis on income, job satisfaction, and exposure to new management practices. Results demonstrated that 98.2% of the respondents experienced income reductions during the crisis and an overwhelming majority sought additional sources of income. Low compensation was widely perceived as a major impediment to productivity, with 74.1% identifying pay as a primary productivity driver and 80.2% affirming its key role in job satisfaction. Nearly all respondents (99.1%) agreed that job satisfaction enhanced productivity. Austerity-era reforms yielded mixed outcomes as performance evaluations were viewed ambivalently. While a novel employee mobility scheme was considered potentially productivity-enhancing, its effectiveness was viewed as contingent on fair and transparent implementation. The study contributes to debates on post-crisis European public administration by illustrating how compensation reforms are experienced from below and by outlining implications for other austerity-affected systems in Southern Europe and beyond.
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