The Sustainable Development Goals (SDGs) serve as a pivotal framework globally, addressing environmental concerns. The 2023 Agenda emphasizes the interconnectedness of environmental issues with socio-economic development, recognizing their fundamental role in human prosperity. This research critically evaluates the mid-term progress of EU Member States in achieving the 2030 Agenda’s environmental targets. Using Eurostat data for SDGs 6, 11, 12, 13, 14, and 15, we’ve analyzed trends via the AAA (Holt–Winters) exponential smoothing algorithm. Results highlight progress from 2015–2022 but signal concerns for 2030 targets in several Member States. These findings urge local, national, and EU stakeholders to intensify efforts toward environmental sustainability goals. Corrections are imperative, given the predicted negative trends, emphasizing the need for immediate action to rectify trajectories before it is too late.

The goal of this study is to analyze the development of rural areas in Romania on the basis of the absorption of both the European non-reimbursable funds and the national funds for the modernization of the infrastructure of villages and communes. The aim of the article is to carry out thorough empirical research on the process of rural development in Romania as a facet of the EU’s overall rural development. Thus, in order to obtain relevant results in connection with the pursued goal, we will be using hierarchical cluster analysis to observe the effects of the expenses financed through the National Rural Development Program (NRDP) on the development of rural areas. In accordance with the methodological approach of research, our goal is to give a picture of the way in which Romania’s counties (NUTS 3) were clustered at the beginning of the multi-annual planning (2014) as well as at the end of the planning period, in 2020, and to point out a series of practical and concrete aspects generated by the opportunities that the rural areas have had in terms of attracting structural funds. Based on the conducted analysis, we can say that a series of positive aspects can be put in the spotlight as a result of the existence of the European irredeemable funds, which engender positive direct and indirect effects on both the economy and the population’s standard of living.

The persistent shortage of ICT specialists across the European Union has intensified the strategic relevance of digital human capital as a determinant of labour market resilience and structural competitiveness. This study provides a systematic assessment of how ICT human capital—proxied by ICT tertiary enrolments, graduate output, and specialist employment—shapes the employment prospects of recent tertiary graduates in the EU-27 between 2013 and 2023. Drawing on harmonised Eurostat panel data and fixed-effects estimations with robust corrections for cross-sectional dependence, the analysis disentangles both direct effects and context-specific moderations associated with economic development, urbanisation patterns, and renewable energy penetration. Results demonstrate that ICT enrolments exert a consistently positive influence on graduate employability, whereas the labour market impact of ICT graduates and specialists is heterogeneous, reflecting differentiated absorptive capacities and sectoral saturation dynamics across Member States. Interaction effects further reveal that the urban concentration attenuates marginal returns to ICT education, while the integration of digital and green transitions remains institutionally underdeveloped. Collectively, the findings position digital tertiary education as a core pillar of sustainable employment formation yet highlight the necessity of coordinated policy architectures that align higher education pathways with regional labour market structures and the evolving green-digital policy agenda in Europe.

Tourism and digitalization have become increasingly interconnected, yet the complex, nonlinear relationships between technological adoption and tourism performance remain underexplored. This study aims to examine how enterprise software solutions influence tourism indicators across European countries. Using a triangulated methodological approach, we employed factor analysis to identify underlying dimensions, neural network modeling to detect nonlinear relationships, and hierarchical clustering to group countries based on digital and tourism profiles. The results consistently highlight CRM (Customer Relationship Management) as the most influential technological factor linked to both the net occupancy rate of beds and the number of nights spent at tourist accommodations. While AI (artificial intelligence) technologies currently have less impact, their importance is growing, as seen in emerging patterns. Cluster analysis further confirms that countries with higher CRM adoption tend to cluster together and show better tourism performance, indicating a clear connection between digital maturity and sector competitiveness. These findings emphasize the strategic importance of CRM as a transformative tool in hospitality and tourism management, while also recognizing the potential of AI to shape future trends. The study offers empirical support for tailored digital policies across European regions to promote inclusive and sustainable tourism growth.