World, Volume 6, Issue 4 (December 2025) – 39 articles

Socio-ecological systems (SESs) exhibit nonlinear feedback across environmental, social, and economic processes, requiring integrative analytical tools capable of representing such coupled dynamics. This study presents a quantitative framework that integrates a compartmental model of a global human–ecosystem with two complementary optimization approaches (Fisher Information (FI) and Multi-Objective Optimization (MOO)) to evaluate policy strategies for sustainability. The model represents biophysical and socio-economic interactions across 15 compartments, incorporating feedback loops between greenhouse gas (GHG) accumulation, temperature anomalies, and trophic–economic dynamics. Six policy-relevant decision variables were selected (wild plant mortality, sectoral prices (agriculture, livestock, and industry), base wages, and resource productivity) and optimized under temporal (25-year) and magnitude (±10%) constraints to ensure policy realism. FI-based optimization enhances system stability, whereas the MOO framework balances environmental, social, and economic objectives using the Ideal Point Method. Both approaches prevent the systemic collapse observed in the baseline scenario. The FI and MOO strategies reduce terminal global temperature by 11.4% and 15.0%, respectively, relative to the baseline (35 °C → 31.0 °C under FI; 35 °C → 29.7 °C under MOO). Resource-use efficiency, measured through the resource requirement coefficient (λ), improves by 8–10% under MOO (0.6767 → 0.6090) and by 6–7% under FI (0.6668 → 0.6262). These outcomes offer actionable guidance for long-term climate policy at national and international scales. The MOO framework provided the most balanced outcomes, enhancing environmental and social performance while maintaining economic viability. Overall, the integration of optimization and information-theoretic approaches within SES models can support evidence-based public policy design, offering actionable pathways toward resilient, efficient, and equitable sustainability transitions. Full article

Our world is rapidly urbanizing, while 2.5 billion people are projected to shift from rural to urban areas by 2050, with close to 90% occurring in Asia and Africa. In Southeast Asia, particularly, the Phnom Penh capital city of Cambodia is experiencing this rapid urbanization, facing significant challenges in improving the quality of urban life and achieving social sustainability. Hence, this research aims to assess this capital on social sustainability dimensions to find out the strong and weak points of its 14 districts in order to reveal the improvement potential. The research developed and applied an urban social sustainability index based on national development priorities, SDG11, the New Urban Agenda, and other SDGs that related to human wellbeing and social inclusiveness. The AHP was used to prioritize indicators to develop a priority index, while the standard score was used to apply the index to assess the 14 districts of Phnom Penh. The data for this index application were sourced from Phnom Penh’s commune database. The results showed that the highest-scoring district for urban social sustainability was Chamkarmon, followed by Boeng Keng Kang and Doun Penh. The findings revealed that Prek Pnov was weak in income generation and welfare, while Kamboul was weak in gender inclusion compared to other districts. Prampir Makara was strong, and Sen Sok was weak in resilience to vulnerability. Boeng Keng Kang was strong in welfare and sanitation, while Kamboul was weak in sanitation. Doun Penh was strong, and Mean Chey was weak in water supply. Full article

In many jurisdictions, property registration and transfers remain constrained by inefficient, paper-based processes that depend on multiple intermediaries and bureaucratic approvals. This paper proposes a decentralized, blockchain-based property platform designed to streamline these processes using Non-Fungible Tokens (NFTs) and artificial intelligence (AI) agents to modernize public-sector asset management. The work addresses the persistent inefficiencies of paper-based property registration and ownership transfer by embedding legal and administrative logic within smart contracts and automating compliance through an intelligent conversational interface. The system was implemented using Ethereum-based ERC-721 standards, React for the user interface, and Langfuse-powered AI integration for guided user interaction. The pilot implementation presents secure, transparent, and auditable property-transfer transactions executed entirely on-chain, while hybrid IPFS-based storage and decentralized identifiers preserve privacy and legal validity. Comparative analysis against existing national initiatives indicates that the proposed architecture delivers decentralization, citizen control, and interoperability without compromising regulatory requirements. The system reduces bureaucratic overhead, simplifies transaction workflows, and lowers user error risk, thereby strengthening accountability and public trust. Overall, the paper outlines a viable foundation for legally aligned, AI-assisted digital property registries and offers a policy-oriented roadmap for integrating blockchain-enabled systems into public-sector governance infrastructures. Full article

This review explores the intersection of gender, geography, and sustainability by examining the role of women in the blue economy across Europe’s Outermost Regions (ORs). Despite growing recognition of the blue economy’s role in sustainable development, there is limited understanding of how women participate in these sectors at the geographic periphery of the European Union. Using publicly available data from Eurostat, INSEE, ISTAC, and other national portals, we analyze employment patterns through a gender lens, supported by qualitative insights from case studies in regions such as the Azores, Réunion, and Guadeloupe. Due to the scarcity of disaggregated blue economy data, general labor force participation is used as a proxy, highlighting both opportunities and visibility gaps. Theoretically grounded in feminist political ecology and intersectionality, the review identifies key barriers, including data invisibility, occupational segregation, and structural inequalities, as well as resilience enablers such as women-led enterprises and policy interventions. We conclude with targeted recommendations for research, policy, and practice to support inclusive blue economies in ORs, emphasizing the need for better data systems and gender-sensitive coastal development strategies. Full article

Riparian ecosystems provide key ecosystem services, yet their degradation is accelerating under growing human pressures. This study performs a systematic and bibliometric assessment to identify global trends in riparian restoration, specifying three objectives: (i) analyze the temporal evolution of scientific production, (ii) evaluate geographical patterns and North–South asymmetries, and (iii) identify dominant restoration approaches and research gaps. A total of 322 documents (1984–2025) were analyzed using productivity indicators, Lotka-based authorship patterns, co-authorship networks, keyword co-occurrence, and a logistic growth model fitted to annual publication counts, combined with descriptive statistics. Annual scientific output showed a steady 4% growth, while 78.2% of studies were led by institutions in the Global North, mainly in North America (39.1%), Europe (17.8%), and Asia (18.5%), highlighting geographical biases and limited representation of tropical regions. Restoration efforts were centered on natural regeneration and tree planting, with less emphasis on cultural ecosystem services and community participation. Despite scientific advances, challenges persist in adopting adaptive and socio-ecologically grounded approaches, especially in underrepresented regions. Strengthening science–policy links, promoting interdisciplinary collaborations, and expanding community involvement are essential to enhance riparian resilience and sustainability. We call for co-creation processes that integrate traditional knowledge and position local communities as partners in restoration efforts. Full article

Sustainable livelihoods remain a vital part of health and can significantly influence overall health outcomes. In sub-Saharan Africa, where HIV continues to affect household economic stability, small-scale but sustainable livelihood interventions have proven essential for economically vulnerable families. These economic empowerment initiatives, mainly funded by non-governmental organizations, are common across the region. Despite their important role in shaping health outcomes, there is a limited understanding of the theoretical frameworks that guide their implementation and results, especially among households affected by HIV. Using qualitative methods, we applied Pierre Bourdieu’s theory of capital to better understand how livelihood projects are implemented among young adults living with HIV in Kisumu. Our findings indicate that livelihood interventions need more than just economic capital to be successful. Social and cultural capital, for example, help overcome barriers like stigma and foster a sense of belonging, while economic capital enables start-up activities and knowledge sharing that support livelihoods. The insights from this study are important for guiding resource allocation toward economic development and social asset building as ways to leverage different types of capital. Full article

Using survey data from five countries in the Southeast Europe (SEE) region, we examine the factors that contribute to the green career intention. As expected, the prior pro-environmental orientation, as measured by the New Ecological Paradigm scale, is associated with green career intention. In addition, there is also a significant association between prior volunteering and the observed career plans. Other factors, including gender, age, study level, social background, and work-related experiences, did not prove to be empirically significant predictors in this context. There is an interesting, but insignificant, tendency among SEE business students at higher study levels to choose green careers; however, seemingly important career determinants, such as work experience, managerial experience, and entrepreneurial experience, do not appear to matter at all. The examined model explains only a small portion of the variation in career intentions, indicating that a wealth of factors remain to be accounted for in future research. We conclude the study with a discussion of implications for business education in the SEE region and offer recommendations for fostering ESG talent in emerging economies. Full article

Transformations in HEIs (Higher Education Institutions) in recent years have positioned education alongside research, development, and innovation, creating the necessary framework for achieving a positive impact on society and economies. A Principal Factor Analysis was employed using 19 variables from eight Eastern European countries over a three-year period (2022–2024). The six main factors are noted with F1 (innovation and collaboration in R&D), F2 (performance and investment in academic research), F3 (advanced technological production and talent influx), F4 (evolution over time/systemic progress), F5 (cluster development), and F6 (investment in education). These explain over 83% of the total variance, ensuring a robust representation of the original data. The results of the analysis show, in some countries, strengths in specific areas (e.g., EE in innovation, CZ in academic research, and SK in high-tech manufacturing). Meanwhile, a general trend of decreasing scores at the systemic progress level can be observed in most nations, suggesting a slowdown in the overall development momentum. At the same time, significant volatility was observed in cluster development (F5) and investment in education (F6) across the sample. These findings provide a condensed, multidimensional framework for comparative analysis and policy formulation, highlighting specific strengths and vulnerabilities in the regional innovation landscape. Full article

This study investigates the challenges faced by small- and medium-sized manufacturing enterprises (SMEs) as they attempt to respond to decarbonization demands and expand into renewable-energy markets. Drawing on three waves of free-response surveys conducted between 2021 and 2024, and applying the KJ qualitative synthesis method, the analysis identifies multi-layered constraints across financial, technological, human resource, organizational, and institutional domains. The findings show that the central difficulty for SMEs lies in reconciling exploration—the pursuit of new technologies and business opportunities—with exploitation—the need to maintain and improve existing operations. External stakeholder pressure frequently accelerates this tension, compelling SMEs to initiate environmental actions even when internal capabilities remain insufficient. Based on the emergent patterns, the study develops an “Exploration–Exploitation Support Matrix,” providing a practical framework for policymakers to design coordinated support measures. The study contributes to the integration of eco-innovation, absorptive capacity, and ambidextrous management theories and offers actionable insights for promoting sustainable SME transitions. Full article

The creative economy includes the processes involved in producing, sharing, and using goods and services that depend on creativity, cultural understanding, entrepreneurship, and intellectual property as essential factors for economic value. This study examines the impact of digital infrastructure, artificial intelligence (AI), and innovation capabilities on the performance of South Africa’s creative economy from 1999 to 2023. It uses the autoregressive distributed lag (ARDL) model and incorporates patent activity, ICT-related trade, and creative sector variables to analyse the short-term and long-term relationships. The findings suggest that digital trade and sector maturity significantly increase intellectual property revenues, while patent activities show minimal effect, and funding factors face measurement challenges. Persistent digital divides, reflected in uneven ICT adoption, limit equitable participation and business prospects. These results highlight the challenges and systemic obstacles faced by creative entrepreneurs. Policy suggestions emphasise targeted support for commercialising intellectual property, wider access to affordable digital infrastructure, and creating AI-focused creative hubs to strengthen South Africa’s role in the global creative economy. Full article

Coastality, the degree to which a place or community is functionally, spatially, or symbolically oriented toward the ocean, has received limited attention in Ocean Literacy research. This study introduces perceived coastality as a youth-centered construct and develops the Coastality Gap Index (CGI), a spatial indicator measuring the divergence between students’ coastal-inland identity and their actual geographic proximity to the sea. A mixed-methods design was applied to data from 645 students aged 10–17 across 11 schools in five municipalities in Mallorca (Spain). The questionnaire explored emotional, cognitive, and experiential connections to the ocean, while K-means clustering identified perceptual profiles and GIS analysis examined their spatial distribution. Five distinct profiles emerged, ranging from students who perceive themselves as coastal with strong ocean ties, to others who live near the coast yet exhibit limited awareness or connection. The CGI revealed that 14 of 29 population centers studied were inland-oriented despite coastal proximity, with values ranging from −0.07 to +0.72. Notable disconnects occurred in municipalities like Manacor (CGI = 0.41) and Artà (CGI = 0.34), where majority of students identified as “inland” despite living within 13 km of the coast, well within the EU’s 20 km coastal belt definition. The perceptual typology and spatial indicator provide a transferable framework for rethinking blue education strategies and designing context-sensitive Ocean Literacy interventions that account for symbolic as well as geographic dimensions of marine identity. Full article

This study provides a bibliometric analysis of African COVID-19 research outputs from 2019 to 2025, exploring trends in original research articles, citation performance, funding patterns, partnership networks, thematic areas, and alignment with the United Nations Sustainable Development Goals (SDGs). Metadata retrieved from Web of Science™ and Scopus were examined utilizing statistical software (GraphPad Prism version 10.2.3), bibliometric mapping, and collaboration network visualization. Africa produced 14,561 original research articles (a global research output of 2.8%), with South Africa and Egypt accounting for 44.72% of original research articles. Research output and citation peaked in the year 2022 and declined from the year 2023, with the domination of medicine and associated health sciences areas, aligned with SDG 3 (Good Health and Well-Being), demonstrating 54.4% of the research outputs. Notwithstanding various funding sources, less correlation occurred between original research articles and funding levels, underscoring the necessity for reinforced institutional capacity. Moreover, intra-African collaboration remained partial, with South Africa being at the forefront of cross-country collaboration. The findings unravel improvement and persevering gaps in African COVID-19 research, underlining the significance of impartial capacity building, diversified into under-represented SDGs, for instance SDG 14 (Life Below Water) and SDG 7 (Clean Energy), and purpose-built policy frameworks to strengthen pandemic preparedness and multidisciplinary resilience. Full article

We investigate the impact of a country’s population happiness level and happiness inequality on the level of entrepreneurship engagement pursued by individual entrepreneurs in that country. Entrepreneurship engagement broadly captures ambitions of entrepreneurs. It is measured along two dimensions: vertical-scaling entrepreneurship (newness-focused scale-up entrepreneurship) and horizontal-scaling entrepreneurship (expansion-focused scale-out entrepreneurship). Adopting the lens of supply and demand theory and occupational choice theory, we argue that a country’s happiness and happiness inequality levels are differently related to these two dimensions. We employ a sample of 71,964 early-stage (nascent or new) entrepreneurs from 79 countries, using the Global Entrepreneurship Monitor dataset. We construct new ordinal scales to measure individuals’ engagement levels in vertical-scaling and horizontal-scaling entrepreneurship. Country-level happiness and happiness inequality data are drawn from the Gallup World Poll (GWP) database. We estimate a pooled ordered logit model to explain individual engagement levels in vertical- and horizontal-scaling entrepreneurship. Explanatory variables include the two country-level happiness indicators plus a set of control variables. We find that country-level happiness significantly increases the likelihood of entrepreneurs within that country to pursue high-end entrepreneurship on the vertical-scaling dimension. At the same time, it decreases the likelihood that they will pursue high-end entrepreneurship on the horizontal-scaling dimension. On the contrary, country happiness inequality increases the likelihood of entrepreneurs’ pursuit of high-end entrepreneurship on the horizontal-scaling dimension while decreasing the likelihood of their pursuit of high-end entrepreneurship on the vertical-scaling dimension. In short, population happiness pushes entrepreneurs toward innovativeness but away from expansion, while happiness inequality does the opposite. This study contributes to the literature on psychological entrepreneurship by bringing the contextual influence of happiness into the dialog of entrepreneurship engagement. Our study also contributes to the high-quality entrepreneurship dialog by decoupling the growth perspective into two dimensions of entrepreneurship: vertical scaling and horizontal scaling. Full article

The adoption of telework increased as a sustainable strategy after the COVID-19 pandemic. However, its impact on transportation and energy consumption are controversial, emphasizing the need for context-specific analysis. This research developed a System Dynamics (SD) simulation that integrated the generalized Bass Diffusion Model (BDM) and Technology Acceptance Model (TAM) to analyze telework diffusion in organizations and its influence on transport-related CO₂ emissions and energy consumption in Colombia. Internal conditions, particularly managerial attitudes and perceptions of telework performance, play a crucial role in the adoption rate. Telework adoption follows a weak S-curve pattern primarily driven by internal dynamics rather than external pressures, lagging behind the projections set by public policies and global trends. Simulations based on government data for the period 2012–2022 indicated that the number of teleworkers could reach 1.61 million by 2032, resulting in annual energy savings of approximately 1.5% and a 2% reduction in transport-related CO₂ emissions. Sustained governmental tracking of sectoral adoption and including records of household energy use will support sensitivity analysis and strengthen model robustness. The integrated SD, TAM, and BDM modeling approach identified critical factors to boost telework adoption and its environmental benefits, providing insights for sustainable organizational strategies and public policies. Full article

Within the circular economy, repair is increasingly recognised as a crucial yet underexplored strategy that extends product lifespans and reduces waste. Service design offers approaches to support this transition by addressing technical, social, and systemic dimensions. This review aimed to synthesise how service design contributes to repair practices and identify research gaps. Following PRISMA 2020 guidelines, we systematically searched Scopus and Web of Science, applied inclusion criteria focusing on service design and repair within the circular economy, and conducted multi-step screening and snowballing. From 132 initial records, 73 studies were included (journal articles, conference papers, book chapters). Thematic synthesis identified three areas: micro-level interactions between producers, products, and users (e.g., motivations, trust, communication); meso-level tools, frameworks, and platforms enhancing accessibility and efficiency; and macro-level societal transformation through regulations, standards, and communities. Results highlight service design’s potential to foster systemic change by integrating environmental, social, and economic aspects, while also revealing notable research gaps related to the limited engagement of repairers, policymakers, and cross-level collaboration. Compared to previous studies, this review contributes a novel integrated framework linking micro-, meso-, and macro-level dimensions of repair within the circular economy, offering both conceptual insights and actionable directions for practitioners and policymakers. The study is limited by language constraints and the lack of a formal bias evaluation. All reviewed materials are publicly accessible on OSF. This research was conducted without external financial support. Full article

A design science framework integrates sustainability into business development across sectors. The framework embeds sustainability, reflected in environmental, social, and governance (ESG) dimensions, within a structured process that links drivers, evaluation components, and outcome indicators. Six principles guide its structure: clarity, integration, adaptability, stakeholder engagement, performance feedback, and scoring consistency. Researchers applied the framework in energy, engineering, and agribusiness cases. Case results show how the framework improves opportunity selection, identifies capability gaps, strengthens prioritization, and structures stakeholder input without adding complexity. Findings confirm that incorporating sustainability factors during the initial stage of business development changes decision patterns, aligns projects with long-term goals, and increases transparency in portfolio planning. This design science approach moves sustainability and its ESG dimensions from a reporting concern to a central element of strategic evaluation and growth planning. Organizations gain a practical structure to align opportunity development with resilience, learning capacity, and sustainability outcomes. In addition, the framework provides a foundation for adaptation, digital tool development, and longitudinal feedback cycles as firms integrate sustainability and ESG dimensions within uncertain policy, market, and stakeholder environments. Full article

Over the 21st century, the confluence between engineering and universal accessibility has emerged as a key research domain, reflecting the growing awareness of the importance of inclusive layout in technological innovation. Despite the growing number of studies on sustainability and inclusion, there is still a lack of comprehensive analyses exploring how engineering contributes to universal accessibility within the framework of the United Nations Sustainable Development Goals. This study addresses this gap by providing the first large-scale mapping of research trends, collaborations, and thematic evolution in this field. The present bibliometric analysis examines the evolution of engineering research in relation to the United Nations Sustainable Development Goals, stressing its role in encouraging universal accessibility. Through a systematic review of scholarly works produced over the last twenty years, this study uncovers dominant issues, evolving research fronts, and the global relevance of engineering-based approaches to improve accessibility for persons with disabilities. Analyzing citation dynamics, publication trajectories, and institutional involvement, this study underlines the contribution of engineering to building inclusive societies and ensuring equitable access to technology and infrastructure. Discoveries underscore that cross-sector collaboration and technological innovation are essential to overcoming accessibility challenges among disfavored populations, directly advancing SDG 10 on reducing disparities and SDG 11 on sustainable urban development. Full article

Conflicts between farmers and herders are a persistent challenge in Sudanian and Sudano-Guinean zones of Benin, largely driven by competition over access to pastoral resources. This study aimed to characterize the prevalence, causes, and typology of such conflicts and to assess their implications for the sedentarization of cattle farming systems. Data were collected from 480 livestock farms across four municipalities (Materi and Gogounou in the Sudanian zone; Tchaourou and Djougou in the Sudano-Guinean zone) through surveys, mapping, and herd productivity assessments. Multiple Correspondence Factorial Analysis was used to classify the conflict types. The results revealed that 52.29% of herders had experienced conflicts, with a higher incidence in the Sudano-Guinean zone (36.88%). Four main categories of conflict were identified: (i) blows and injuries to people and animals (38.64%), (ii) displacement of herders and their farms (34.26%), (iii) property damage and animal slaughter (15.13%), and (iv) violent verbal altercations and animal poisoning (11.97%). These findings indicate that recurrent conflicts are accelerating the shift from transhumance towards sedentarization, underscoring the need for tailored conflict management strategies and sustainable livestock policies. Full article

This study investigates the influence of pressure groups on the structure of the Greek economy, emphasizing their function as intermediaries between civil society and policymaking institutions. The significance of this research lies in revealing how organized interests—operating in an environment of informal and weakly regulated lobbying—shape sectoral dynamics and policy outcomes. The central hypothesis is that sectors represented by strong and well-organized pressure groups, such as manufacturing, tourism, and public administration, exhibit higher and more stable shares of Gross Value Added (GVA) due to their lobbying capacity and institutional access. To test this hypothesis, the paper integrates qualitative institutional analysis with a quantitative econometric model based on sectoral data from 2013 to 2023. The descriptive results indicate patterns consistent with the hypothesis that organized pressure groups are associated with sectoral resilience and performance. Nevertheless, the findings also suggest that excessive or unregulated influence may distort economic allocation and weaken transparency. The study concludes that establishing clearer oversight and accountability mechanisms is essential to ensure that the role of pressure groups supports democratic integrity and balanced economic development. Full article

Agrivoltaic (AV) systems are increasingly recognized as a strategy to enhance sustainable land management, yet their application in post-conflict settings remains underexplored. This study addresses this gap by evaluating AV deployment in two Colombian municipalities located in PDET/ZOMAC regions, using an integrated framework that expands the conventional Water–Energy–Food (WEF) nexus into the Water–Energy–Food–Soil–Climate–Communities (WEFSCC) nexus. The research combined GIS-based site characterization, crop yield and water balance modeling (contrasting traditional irrigation with hydroponics), and photovoltaic performance simulations for 30 kW systems, under conservative and moderate scenarios. Economic analyses included Net Present Value (NPV), Internal Rate of Return (IRR), and Free Cash Flow (FCL), with sensitivity tests for crop prices, yields, tariffs, and costs. Results indicate that AV can reduce crop irrigation demand by up to 40%, while generating 17 MWh/month of electricity per site. Cabrera exhibited higher profitability than Pisba, explained by yield differences and site-specific energy outputs. Comparative analysis confirmed consistency with experiences in Africa and Europe, while emphasizing local socio-environmental benefits. Conclusions highlight AV systems as resilient tools for sustainable land management in Colombia’s post-conflict regions, with actionable implications for land-use regulation, fiscal incentives, and international cooperation programs targeting rural development. Full article

Digital twins are emerging as promising yet underexplored tools for addressing overtourism, sustainability, and governance challenges in tourism. This study assessed their acceptance using a mixed-methods design that combined a large-scale survey of tourists (N = 1286) with semi-structured stakeholder interviews across four Spanish destinations (Barcelona, Málaga, Valencia, and Benidorm). Factor analyses validated a six-dimensional acceptance model comprising trust, usefulness, ease of use, perceived risks, sustainability attitudes, and awareness. The quantitative results demonstrated that trust, usefulness, and ease of use strongly predicted adoption intentions, while risk perceptions negatively influenced acceptance. Sustainability orientations and digital familiarity further enhanced support. Qualitative insights revealed that governance capacity, equity concerns, and readiness critically shaped stakeholder evaluations, highlighting that adoption is mediated not only by individual perceptions but also by local infrastructural and institutional contexts. The study advances technology acceptance theory by integrating sustainability and awareness as domain-specific constructs and by showing how governance dynamics condition adoption across destinations. Practically, it underscores the need for institutional trust, transparent risk management, equitable participation, and alignment with sustainability agendas. While limited to Spanish destinations, the findings offer broader lessons for European cities seeking to embed digital twins in tourism governance. Full article

This study investigates factors influencing migrants’ decisions to enter Europe via Bulgaria or Greece along the Balkan route, using logistic regression and machine learning models on data from the International Organization for Migration (IOM) Flow Monitoring Survey (August 2022–June 2025, $n=5536$). We examine demographic variables (age), push factors (economic reasons, war/conflict, personal violence, limited access to services, and avoiding military service), and governance clusters derived from the World Bank’s Worldwide Governance Indicators (WGIs). An adapted migration gravity model incorporates corruption control as a key push–pull factor. Key findings indicate that younger migrants are significantly more likely to choose Bulgaria ($\beta \approx -0.021$, $p<0.001$), and governance clusters show that migrants from high-corruption origins (e.g., Syria and Afghanistan) prefer Bulgaria, likely due to governance similarities and facilitation costs. The Cluster Model achieves a slight improvement in fit (McFadden’s $R^2=0.008$, AIC = 7367) compared to the Base (AIC = 7374) and Interaction (AIC = 7391) models. Machine learning extensions using LASSO and Random Forests on a subset of data ($n=4429$) yield similar moderate performance (AUC: LASSO = 0.524, RF = 0.515). These insights highlight corruption’s role in route selection, offering policy recommendations for origin, transit, and destination phases. Full article

Labour migration from Central and Eastern Europe plays a significant role in the labour market of the European Union, yet few studies examine the direction and extent of occupational mobility triggered by migration. This study introduces a new analytical tool, the Career Benefit Index, which measures the direction of change in occupational status between the labour markets of the country of origin and the host country. The tool also enables the assessment of sociological factors that explain these changes. The index was developed using data from Hungarian workers living in Austria and Germany. The analysis revealed that educational attainment has no significant impact on career mobility. In contrast, demographic factors such as gender, age, and particularly very high-level German language proficiency strongly influence career trajectories. The index demonstrates that labour market capacities play a limited role in shaping migrants’ career paths, as the host labour markets tend to “evaluate” migrant workers primarily based on their linguistic and demographic attributes. The index and the findings contribute to a deeper understanding of labour market integration among Central and Eastern European migrants and may offer new directions for migration and employment policy analysis. Full article

The digital transition is a major contemporary challenge that unevenly impacts the life chances of occupational classes and the well-being of individuals. The decline of the working class, driven by skill-based technological change, further provides additional arguments for examining the impact of digitalization on individuals’ chances from a class perspective. The intersections between social class and gender deserve attention in relation to adult education participation. This paper aims to account for both individual-level characteristics—occupational class and gender—and macro-level characteristics including digitalization, measured by the Digital Economy and Society Index (DESI), and inequality, measured by the Gini coefficient. Analyzing data from the European Social Survey, Round 10 (2021/2022), our results show that digital performance in a given country is positively associated with the probability of participation in adult education. Women in countries with higher levels of digital performance are more likely to participate in adult education. We found evidence for a positive interaction between DESI and lower-grade service class for women, whereas in the case of men, we found positive interaction terms between DESI and small business owners, skilled workers, and unskilled workers. Full article

Small and medium-sized enterprises (SMEs) constitute the backbone of the EU economy, yet their uneven digital transformation raises challenges for competitiveness and territorial cohesion. This article examines the organizational and spatial aspects of SME digitalization across the European Union using Flash Eurobarometer 486 data and latent class analysis (LCA) combined with Bayesian multilevel multinomial regression. The results reveal four SME digitalization profiles—Digitally Conservative Backbone; Partially Digital and Upgrading; Digitally Advanced and Diversified; and Focused Digital Integrators—reflecting diverse adoption patterns of key technologies such as AI, big data and cloud computing. Digitalization is shaped by organizational factors (firm size, value chain integration, digital barriers) and territorial factors (urbanity, border proximity, national digital infrastructure as measured by the Digital Economy and Society Index, DESI). Contrary to linear modernization assumptions, digital adoption follows geographically embedded trajectories, with sectoral uptake occurring even in low-DESI or non-urban regions. These results challenge core–periphery models and highlight the significance of place-based innovation networks. The study contributes to modernization theory and regional innovation systems by showing that digital inequalities exist not only between countries but also within regions and among adoption profiles, emphasizing the need for nuanced, multi-level digital policy approaches across Europe. Full article

Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and some of the older jobs are disappearing. However, existing skills of job seekers may not fit these new jobs. This article presents results from the EMLT + AI project, which aimed to explore how artificial intelligence (AI) tools could contribute to reducing such mismatches and supporting inclusive labor market integration. Based on a sample of 1039 participants across European countries, we analyzed the alignment between individuals’ educational background and their current employment, as well as their willingness to reskill. Using binary logistic regression models, the study identifies key factors influencing mismatch and reskilling motivation, including educational level, type of occupation, the presence of meaningful career guidance, and AI-based job search practices. The results indicate that individuals who hold a master’s degree and work in positions requiring at least bachelor’s level degrees are more likely to be matched with jobs that align with their field of study. However, access to mentoring remains limited. The paper concludes by proposing an AI-supported training model integrating career recommendation systems, flexible learning modules, and structured mentoring. These findings provide empirical evidence on how emerging technologies can foster more responsive and adaptive education-to-employment transitions, contributing to policy innovation and the development of inclusive digital labor ecosystems in Europe. Full article

In many disaster-prone regions, lower-income communities face disproportionate impacts due to the prevalence of informal housing. Informal housing, characterized by substandard construction and lack of adherence to building codes, exacerbates vulnerabilities during disasters, leading to widespread destruction and hampered recovery efforts. This study examines the multifaceted causes of informal housing in Puerto Rico using a qualitative content analysis of applicable literature. Seven interdisciplinary factors were derived from 42 relevant manuscripts with identifiable factors linked to informal housing in Puerto Rico: Knowledge, Perception, Government Dynamics, Institutional Support, Enforcement, Culture, and Resources. Despite post-disaster efforts advocating for building back better, systemic challenges perpetuate informal housing practices, reinforcing cycles of vulnerability. This research underscores the need for integrated decision making in pre-disaster preparation and post-disaster reconstruction efforts. This research presents a detailed understanding of the Informal Housing Cycle, demonstrates how interdisciplinary factors are barriers to safe and sustainable housing, and explores the complex relationships between these factors. This study aims to guide policy and practice to reduce future disaster impacts on Puerto Rico housing, thus breaking the cycle of vulnerability, empowering communities, and fostering sustainable resilience in post-disaster reconstruction efforts. Full article

Rural area sustainable development represents one of the main aspects of prosperity, enabling countries to strengthen their economy, improve living conditions, and create new opportunities for growth. Different criteria from the areas of economic sustainability, infrastructure and access to services, community participation and resource management, geographical location, and social sustainability were determined, and three appropriate multi-criteria decision-making methods were applied; the most significant sub-criteria for rural area development were diversification of the economy, connection with urban areas, and innovations in agriculture and tourism. Also, rankings of sub-criteria were performed, and the similarity of the rankings was checked, making the fuzzy AHP algorithms suitable for estimating the influence of factors on rural areas development. Based on the results obtained, some strategies of underdeveloped area economic growth and sustainable development were presented. Full article

The green economy and the broader green transition have become central themes in global sustainability efforts, reflecting a strategic shift in addressing environmental challenges through economic transformation. This study provides a systematic bibliometric analysis of 1014 peer-reviewed publications indexed in Scopus on the green transition within the framework of sustainable development, covering the period 1990–2024. The findings show a rapid growth in research output after 2015, culminating in 360 publications in 2024. China, Italy, and the Russian Federation emerge as the most active contributors, while collaboration networks reveal both established partnerships and emerging participation from Central and Eastern Europe. Influential authors include Mahmood Haider and Fabio Iraldo, and major publication outlets are the Journal of Cleaner Production, Sustainability (Switzerland), and Ecological Economics. Four thematic clusters—renewable energy, climate policy, circular economy, and green innovation—highlight dominant research trajectories and persistent knowledge gaps. By mapping authors, sources, keyword co-occurrences, and citation structures, this study offers a structured foundation for future research and a clearer understanding of how the green transition is conceptualized within sustainability scholarship. Full article

This study proposes a novel curriculum framework for Smart Breeding 4.0 to address the interdisciplinary talent gap in sustainable agriculture. Responding to the limitations of traditional agricultural education, the curriculum was developed through an analysis of emerging technological trends and industry needs. It is structured around four integrated modules: (1) Foundational Theory, tracing the evolution to data-driven breeding; (2) Technology Integration, combining AI and blockchain for precision breeding; (3) Practical Innovation, using real-world platforms for simulation projects; (4) Ethics and Policy, cultivating responsibility through case studies. Teaching emphasizes project-based learning with open-source tools, while assessment combines exams, data analysis, and innovation proposals. Explicitly aligned with key UN Sustainable Development Goals (SDGs), this conceptual framework provides a foundational model for agricultural universities worldwide. The primary contribution of this paper lies in its systematic design; future research will focus on empirical validation through pilot implementation. Full article