Search Results (3,712)

This study examines the determinants of apartment prices in 17 post-WWII multi-family housing estates in Ljubljana, Slovenia, constructed between 1947 and 1986. Using 1973 verified transactions from 2020 to 2025, the analysis evaluates spatial, structural, environmental, and accessibility-related variables through a combination of statistical and machine learning techniques. A hedonic price model based on ordinary least squares (OLS) demonstrates modest explanatory power (R² = 0.171), identifying local market reference prices, floor level, noise exposure, and window renovation as significant predictors. In contrast, seven machine learning models—Random Forest, XGBoost, and Gradient Boosting Machines (GBMs), including optimized versions—achieve notably higher predictive accuracy. The best-performing model, GBM with Randomized Search CV, explains 59.6% of price variability (R² = 0.5957), with minimal prediction error (MAE = 0.03). Feature importance analysis confirms the dominant role of localized price references and structural indicators, while environmental and accessibility variables contribute variably. In addition, three clustering methods (Ward, k-means, and HDBSCAN) are employed to identify typological groups of neighborhoods. While Ward’s and k-means methods consistently identify four robust clusters, HDBSCAN captures greater internal heterogeneity, suggesting five distinct groups and detecting outlier neighborhoods. The integrated approach enhances understanding of spatial housing price dynamics and supports data-driven valuation, urban policy, and regeneration strategies for post-WWII housing estates in Central and Eastern European contexts. Full article

Glocalization plays a vital role in promoting regionally embedded sustainable development by enabling territories to adapt global economic impulses to local capacities, values, and institutional frameworks. This paper develops a framework for the quantitative assessment of economic glocalization at the regional level, focusing on the European Union. Drawing on the conceptual metaphor of “refraction”, glocalization is interpreted as a transformation of global economic impulses as they pass through and interact with localized socio-economic structures. The authors construct a Glocalization Index System comprising three sub-indices: (1) Index of Generation of Globalization Impulses, (2) Index of Resistance to Globalization Impulses, and (3) Index of Transformation of Globalization Impulses. Each sub-index integrates normalized indicators related to regional creativity—conceptualized through the four “I”s: Institutions, Intelligence, Inspiration, and Infrastructure—as well as trade and investment dynamics. The empirical analysis reveals substantial interregional variation in glocalization capacities, with regions of Germany, the Netherlands, Sweden, and Finland ranking among the most prominent generators and transformers of globalization impulses. Strong correlations are observed between the Resistance and Transformation indices, supporting the hypothesis that medium resistance levels contribute most effectively to transformation processes. By integrating both global (exogenous) and local (endogenous) dimensions, the proposed framework not only addresses a gap in economic literature but also offers a tool for guiding policies aimed at sustainable, adaptive, and innovation-driven regional development. Full article

Background: Article 32 of the Italian Constitution guarantees the right to health for all citizens, including detainees. Prison populations face unique health challenges due to high-risk lifestyles, psychosocial stressors, and limited access to care. This study aimed to investigate the burden of chronic diseases and associated risk factors among male inmates in a central Italian prison. Methods: This cross-sectional study was conducted in accordance with STROBE guidelines at Giuseppe Pagliei Prison in Frosinone, Central Italy, from May 2022 to May 2023. A total of 477 adult male inmates underwent systematic clinical evaluations and medical record reviews. Demographic and health data were analyzed to determine the prevalence of chronic conditions and related risk factors. Results: Participants (mean age 47.3 ± 13.1 years; 69.6% Italian, 30.4% international, mainly Eastern European and African) presented on average 1.8 chronic conditions. The most frequent diagnoses were psychiatric disorders (19.9%), cardiovascular diseases (17.2%), and osteoarticular disorders (14.5%). Disease burden correlated with aging, unhealthy lifestyles, and incarceration-related stressors. Tobacco smoking was highly prevalent. Conclusions: Male inmates show a considerable and partly preventable burden of chronic disease. Broader policy measures, including alternative sentencing and community-based rehabilitation, may mitigate the health impact of imprisonment while ensuring public safety. Adequate prison healthcare remains a public health priority and a constitutional and human rights obligation. Full article

The objective of this paper is to analyze the European Union’s response to school bullying and cyberbullying through its educational policies. For this purpose, a search of European policies was carried out in EUR-Lex, including all dates, to get a complete picture of this phenomenon. After applying the inclusion and exclusion criteria, 16 policies were selected. These were analyzed, according to Content and Documentary Analysis, using MAXQDA Analytics Pro 2024 through a codebook composed of two dimensions: one legal and one specific to bullying and cyberbullying. The results showed that most of these policies are soft policies, especially recommendations, issued by the Council of the European Union. At the same time, there is an interest on the part of the European Union to prevent bullying by addressing the contextual and cultural risk factors and improving teacher training and emotional education. In conclusion, European policies have a largely technological, preventive, and contextual and cultural approach. Finally, this paper also offers some policy recommendations to prevent school bullying and cyberbullying in political terms. Full article

The evaluation of crop production that influences surface and groundwater quality is of growing importance in the context of agricultural sustainability in Europe. The primary aim of this study was to understand the relationship between gross nitrogen surplus in land and nitrate concentrations in surface and groundwater. The analysis was based on datasets collected from 2010 to 2021. Nitrate levels were categorized into three distinct quality classes based on the percentage of monitoring points, reflecting a spectrum from high quality, defined as nitrate levels below 25 mg/dm³, to poor quality, characterized by levels exceeding 50 mg/dm³. Redundancy analysis indicated that Gross Nitrogen Balance, a fertilizer use predictor, partially influences water quality, potentially due to long-term effects. Model selection for Gross Nitrogen Balance based on the AIC_c information criterion identified catch crops (or green cover), high-intensity agriculture, Natura 2000 sites, nitrogen-fixing plants, organic farming, fast-growing tree plantations, and EU27 states as predictors in the group of supported models. The best-fit model revealed differences between EU27 states for Gross Nitrogen Balance. Catch crops and Natura 2000 sites were also significant predictors, the former associated with a positive and the latter with a negative effect on nitrogen balance. In turn, WEI+ increased with nitrogen balance input but decreased with organic farming, indicating that promoting organic practices could help save water resources. Poland emerged as a country with relatively good water quality compared to several European counterparts, such as Denmark, Belgium, Malta, Czechia, Germany, and Lithuania. The implications of this research extend significantly to evaluation of the effects of the Common Agricultural Policy within the European Union. Full article

This cross-country study examines how higher education institutions collaborate with government, industry, and civil society to promote the European Green Deal and Just Transition initiatives. Framed within the quadruple helix (QH) model, the research investigates emerging partnerships and the integration of green policies across six European countries: Bulgaria, Cyprus, France, Greece, Serbia, and Spain. Special emphasis is placed on the strategic role of universities in advancing the environmental, social, and economic dimensions of sustainability through their initiatives. Drawing on 30 semi-structured interviews with key stakeholders, including local public officials, academics, entrepreneurs, students, and unemployed youth, the study uncovers a growing alignment between academic initiatives and national sustainability agendas. While the extent of policy integration and collaboration varies, the findings underscore the importance of universities in shaping environmental awareness, fostering green innovation, and advancing multi-actor partnerships. The study contributes to the theoretical discourse on the QH model by applying it to the field of green transition policy and offers practical recommendations for enhancing the role of universities in sustainability-oriented governance and education. Full article

The implementation of European Union policies contributed to substantial air pollution reductions in recent years, but atmospheric aerosols remain a key pollutant class with environmental and public health risks. This study develops a novel method for assessing environmental impact and the risk associated with urban atmospheric aerosols. The integrated approach for air quality evaluation and prediction of the effects and risk of certain pollutants is based on Aerosol Optical Depth (AOD) analysis, considering the Aerosol Robotic Network (AERONET) database. To validate the method, it was applied using monitored air quality data for two cities in Romania, with 13 years (from 2011 to 2023) in one case and 12 years (from 2012 to 2023) in the other. The results demonstrated that an AOD risk index can be developed and utilized for air quality evaluation and prediction, enabling estimation of impacts and risks. In this case, aerosols measured by AERONET (Aerosol Robotic Network) over Cluj-Napoca (2011–2023) were dominated (46%) by a mixture of elemental (EC) and organic carbon (OC), while measurements over Iasi (2012–2023) showed 55% of the EC/OC mixture. The impacts and risks, as calculated by the AOD index for EC, show few significant ones, with an AOD range of 0.88 to 1.05 for Iasi and 0.73 to 0.88 for Cluj-Napoca. Full article

Energy raw materials are the basis of the economic system. From this emerges the need to examine in more detail how various uncertainty indices interact with the dynamic of spillover connectedness among energy markets. The TVP-VAR model is used to investigate connectedness among US, European, and Indian oil and gas markets and the S&P carbon allowances Eua index. Following this, the wavelet decomposition technique is used to capture the dynamic correlations between uncertainty indices (GPR and VIX) and connectedness indices. First, the results indicate that energy market spillovers are time-varying and crisis-sensitive. Second, the time–frequency dependence among uncertainty indices and connectedness indices is more marked and can change with the occurrence of unexpected events and geopolitical conflicts. The VIX index shows a positive dependence on total dynamic connectedness in the mid-long-term, while the GPR index has a long-term effect only after 2020. The analysis of the interdependence among the connectedness of each market and the uncertainty indices is more heterogeneous. Political tensions and geopolitical risks are, therefore, causal factors of energy prices. Given their strategic and economic importance, policy makers and investors should establish a risk warning mechanism and try to avoid the transmission of spillovers as much as possible. Full article

The construction sector is under growing pressure to transition from linear, resource-intensive models to regenerative, circular practices. While Circular Economy (CE), Building Information Modelling (BIM), and Agile Project Management (APM) are each recognized for their potential to improve sustainability, their combined application in construction remains underexplored, particularly among small- and medium-sized enterprises (SMEs). In this study, we propose a conceptual framework integrating CE as a strategic objective, APM as the procedural methodology, and BIM as the digital enabler to foster circular practices in construction. Unlike previous studies, this research empirically integrates CE, BIM, and APM into a single coherent framework tailored specifically for SMEs. The framework is informed by secondary analysis of the BLOOM project dataset (n = 153) and a targeted readiness survey (n = 98) conducted among SMEs in the Mediterranean and Central European regions. The findings reveal a significant gap between awareness and implementation: while over 75% of respondents are familiar with CE and 63% use BIM tools, only 19% demonstrate readiness to integrate all three approaches. The main barriers—training gaps, regulatory ambiguity, and digital immaturity—are explored in detail. This study contributes by introducing a five-pillar framework and by identifying and analysing specific barriers that SMEs face when integrating CE–APM–BIM practices. Nevertheless, strong conceptual alignment exists, with over 80% agreeing on the potential of CE–Agile–BIM synergy. This study offers actionable insights into overcoming adoption barriers and emphasizes the need for policy-driven pilot projects, peer learning, and tailored capacity building to foster regenerative construction practices. Full article

This study investigates long-term urban air quality and population-level exposure in 33 European capital cities between 2010 and 2024. Using over 3.5 million hourly observations retrieved from official monitoring networks, city-level Air Quality Index (AQI) values were calculated and analyzed for exceedance frequency, seasonal dynamics, and spatial disparities. To account for public health relevance and sustainability implications, the analysis incorporated population-weighted exposure indicators reflecting both pollution severity and urban demographic scale. The results reveal substantial differences in air quality across the continent: cities such as Oslo and Reykjavik consistently maintain low AQI levels, while Sarajevo, Lisboa, and Madrid experience frequent exceedances. Notably, Paris shows the highest cumulative population exposure despite moderate pollution intensity, highlighting how urban density amplifies public health burdens. The use of harmonized AQI and exposure-adjusted metrics enables standardized comparisons across cities and supports sustainability-oriented urban planning. By quantifying unequal exposure burdens across Europe’s capitals, this study contributes to the evidence base for Sustainable Development Goal 11, emphasizing the need for data-informed air quality policies that address both environmental risks and population vulnerability. Full article

The aim of this study, which was conducted on the basis of the convergence hypothesis, is to reveal the convergence problems of Turkey towards the European Union based on the basic indicators of the youth labor market. For this purpose, a large gender-disaggregated data set has been constructed with 29 observation units consisting of the European Union Average, European Union Countries, and Turkey, using the basic indicators of the youth labor market that point to the future, within Eurostat and Ilostat data. The clustering method, which is one of the advanced statistical techniques, was preferred to determine which countries are similar to each other and which are different from each other within the data set. In this study, where non-hierarchical and hierarchical clustering methods were used together, it was concluded that Turkey diverges from the developed countries of the European Union, such as Denmark, Germany, and the Netherlands, and is similar to countries such as the EU (27), Bulgaria, Czechia, and Italy. Along with this result, this study also reveals remarkable gender differences in the indicators for young men and young women in the youth labor market in Turkey, and that Turkey’s main convergence problem towards the European Union is realized in NEET rates. In this context, this study is completed with suggestions for various policy measures to address convergence problems, such as NEET, unemployment of young women, and low labor force participation rates of young women in Turkey, within the scope of sustainable development goals such as quality education and gender equality. Full article

This paper investigates how Sustainable Development Goals SDG 3 (Health and Well-being) and SDG 10 (Reducing Inequality) interacted during the period 2009–2021 within the context of income disparities in the European Union and Ukraine. The central assumption is that lowering income inequality improves overall population health. The research proposes a conceptual model with four main elements: classifying countries according to their Gini index along with their performance on SDG 3 and SDG 10; analyzing how income inequality and progress on SDG 10 influence health outcomes (SDG 3); categorizing countries based on the strength of links between inequality measures and well-being indicators; and interpreting these results in the context of Ukraine’s European integration aspirations. Methodologically, cluster analysis, correlation and regression models, and semantic differentiation are applied. The findings show that a reduction in income inequality positively affects health and well-being. Nonetheless, Ukraine continues to face considerable structural and institutional hurdles. From a governance standpoint, the study highlights the need for cohesive policies that integrate economic, health, and social dimensions. Effective public management should coordinate national reforms to match EU healthcare and social policy standards. Strengthening institutions, ensuring fair access to healthcare services, and adopting inclusive policy instruments remain crucial to advancing both SDG 3 and SDG 10 targets, as well as supporting Ukraine’s broader integration with the European Union. Full article

This study provides a comprehensive assessment of water infrastructure, consumption management, and educational practices across all public pre-university educational institutions in Cluj County, Romania. The research addresses the increasingly urgent imperative of sustainable water resource management within educational settings, in alignment with both European and global priorities. This analysis is based on a comprehensive data set collected in June 2025 from all 392 public pre-university educational institutions in Cluj County, encompassing both urban and rural areas, all educational levels, and all types of institutions. Data was gathered using a standardized questionnaire, which was validated with the official support of the Cluj County School Inspectorate. The quantitative analysis highlights significant urban–rural disparities: 95.566% of urban institutions are equipped with modern meters and connected to public water networks, compared to only 68.254% in rural areas. Water consumption monitoring relies predominantly on invoice data (69.388%), while the adoption of advanced monitoring technologies remains limited. Reported water losses are minimal (1.531%), and only 0.765% of educational institutions have indicated non-compliance issues related to water quality in the past three years. Educational measures and water-saving awareness campaigns are present in 65.562% of institutions, yet only about one-third (32.908%) have implemented dedicated projects or partnerships. The financial analysis reveals that 90.487% of annual water and sewerage costs are borne by urban institutions. The study highlights both the progress achieved and the persistent challenges, particularly in rural infrastructure and the expansion of educational interventions. The results provide a robust empirical basis for informing regional and national policies, supporting targeted investments, integrated educational programs, and continuous monitoring to ensure sustainable water resource management in the Romanian educational system. Full article

The application of contagion risk spread modeling within the banking sector is a relatively recent development, emerging as a response to the persistent threat of liquidity risk that has affected financial institutions globally. Liquidity risk is recognized as one of the most destructive financial threats to banks, capable of causing severe and irreparable damage if overlooked or underestimated. This study aims to identify the most effective control strategy for managing financial contagion using a Susceptible–Infected–Recovered (SIR) epidemic model, incorporating time delays in both state and control variables. The proposed strategy seeks to maximize the number of resilient (vulnerable) banks while minimizing the number of infected institutions at risk of bankruptcy. Our goal is to formulate intervention policies that can curtail the propagation of financial contagion and mitigate associated systemic risks. Our model remains a simplification of reality. It does not account for strategic interactions between banks (e.g., panic reactions, network coordination), nor for adaptive regulatory mechanisms. The integration of these aspects will be the subject of future work. We establish the existence of an optimal control strategy and apply Pontryagin’s Maximum Principle to characterize and analyze the control dynamics. To numerically solve the control system, we employ a discretization approach based on forward and backward finite difference approximations. Despite the model’s simplifications, it captures key dynamics relevant to major European banks. Simulations performed using Python 3.12 yield significant results across three distinct scenarios. Notably, in the most severe case (${\alpha }_3=1.0$), the optimal control strategy reduces bankruptcies from 25% to nearly 0% in Spain, and from 12.5% to 0% in France and Germany, demonstrating the effectiveness of timely intervention in containing financial contagion. Full article

Geospatial sensing and data-driven technologies (GSDDTs) are playing an increasingly important role in transforming (agro)forestry practices across the Western Balkans 6 region (WB6). This review critically examines the current state of GSDDT application in six WB countries (also known as the WB6 group)—Albania, Bosnia and Herzegovina, Kosovo*, Montenegro, North Macedonia, and Serbia—with a focus on their contributions to sustainable (agro)forest management. The analysis explores the use of unmanned aerial vehicles (UAVs), light detection and ranging (LiDAR), geographic information systems (GIS), and satellite imagery in (agro)forest monitoring, biodiversity assessment, landscape restoration, and the promotion of circular economy models. Drawing on 25 identified case studies across WB6—for example, ALFIS, Forest Beyond Borders, ForestConnect, Kuklica Geosite Survey, CREDIT Vibes, and Project O₂ (including drone-assisted reforestation in Kosovo*)—this review highlights both technological advancements and systemic limitations. Key barriers to effective GSDDT deployment across WB6 in the (agro)forestry sector and its cross-border cooperation initiatives include fragmented legal frameworks, limited technical expertise, weak institutional coordination, and reliance on short-term donor funding. In addition to mapping current practices, this paper offers a comparative overview of UAV regulations across the WB6 region and identifies six major challenges influencing the adoption and scaling of GSDDTs. To address these, it proposes targeted policy interventions, such as establishing national LiDAR inventories, harmonizing UAV legislation, developing national GSDDT strategies, and creating dedicated GSDDT units within forestry agencies. This review also underscores how GSDDTs contribute to compliance with seven European Union (EU) acquis chapters, how they support eight Sustainable Development Goals (SDGs) and their sixteen targets, and how they advance several EU Green Agenda objectives. Strengthening institutional capacities, promoting legal alignment, and enabling cross-border data interoperability are essential for integrating GSDDTs into national (agro)forest policies and research agendas. This review underscores GSDDTs’ untapped potential in forest genetic monitoring and landscape restoration, advocating for their institutional integration as catalysts for evidence-based policy and ecological resilience in WB6 (agro)forestry systems. Full article