Relationships between tourism development, quality of life and sustainable performance are very important topics and benchmarks in long-term policies and strategies at global, regional and local levels. Starting from the concerns expressed by researchers and international organizations, as well as the characteristics of the European region, our research aims to identify these relationships in the context of increasing pressure from stakeholders on the adoption of decisive measures in order to limit the negative effects manifested globally in the context of climate change. Using cluster analysis, we managed to identify relevant groups of countries, based on the selected variables. The results of the study highlight the existence of a positive relationship between the development of tourism and the increase of the quality of life, as between the level of sustainable performance and tourism intensity, opening the possibility of future research on the causal relationships between the selected variables and the promotion of coherent public policies that support the sustainable development.

In this period of extreme changes in our society, issues related to the health and well-being of citizens are considered essential for the future of a united and prosperous Europe. Achieving the Sustainable Development Goals (SDGs) at EU level by 2030 requires hard work done in a transformative way in order to implement a set of coherent, evidence-informed policies that address health, well-being and all their determinants throughout the course of life and across all sectors of government and society. The objective of this paper is to assess the stage of fulfillment of all SDG targets in relation to health and well-being at EU level, based on the current trend of each indicator, for each EU member country. Based on the Eurostat SDG data set for 2007–2018, the individual trends were forecast using the AAA (Holt-Winters) version of the exponential smoothing (ETS) algorithm. The research results are surprising, on the one hand showing the possibility that some targets will be reached, but also indicating that a large percentage of targets will not be reached if the current trend is continued, especially due to disruptive change generated by the current pandemic. There is a need to increase the involvement of all member states, but also ensure a deeper involvement at the level of EU institutions, to provide full support for meeting the targets proposed by the 2030 Agenda, ensuring prosperity and health for all European citizens, and becoming a model for all the states of the world.

The European Union, by adopting the European Green Deal, aims at an extremely ambitious goal to become climate neutral by 2050. This objective implies a massive investment plan to reduce disparities between EU Member States and to support their transformation efforts in order to reshape the Union into a modern, resource-efficient and competitive economy. The objective of this paper is to analyze the dynamics of implementation of SDG 7 targets in EU Member States 5 years after the adoption of the Paris Agreement. Using hierarchical clustering analysis to reveal hidden associative structures, EU countries were grouped in 2015 and 2019 based on Eurostat data in order to identify and analyze key characteristics, but also to evaluate their evolution over time. The results of this research revealed clusters of high-performing countries, as well as countries that require increased attention and support to ease the transition to a greener economy. If in 2015 the cluster of the best performing countries consisted of four EU countries, in 2019, their number increased to eight EU countries, simultaneously with an improvement of the indicators, proving a real concern and involvement regarding the achievement of SDG 7 targets.

Education represents the basic pillar of preparing individuals for integration into the labor market, but also is a crucial component of ensuring sustainable development. The purpose of this research was to identify the type of influences existing between education and the labor market in EU member countries in the context of different levels of investment in the educational system. Cluster analysis and the ordinary least squared method were used to identify the type of influences between the indicators characterizing the level of education and the labor market between 2000 and 2021. The empirical results showed that there was a significant negative correlation of the educational dropout rate with the level of employee compensation, number of hours worked by each employee, and their labor productivity, in the countries with the poorest level of educational investment. In the countries with significant investments in education, getting a graduate diploma and participating in vocational training programs led to a better compensation of employees and a higher employee productivity while the financial aid given by the state for pupils and students reduced the number of worked hours, brought down unemployment amongst people with primary and secondary education and, last but not least, increased the employment rate for higher education graduates. An average level of educational investment led to negative influences between early-stages and employees’ payment level and real labor productivity, while becoming involved in educational activities and participating in vocational training programs increased their rates of remuneration and real productivity. A significant impact of higher education graduates on both increasing unemployment rates and falling employment rates was noticed as has been identified in other studies.

The climate-neutral economy is today, more than ever, the priority issue for all governmental and non-governmental bodies, directly and indirectly involved in the ambitious and responsible process of society’s transition to the green economy. To be or not to be sustainable today is no longer an option, but an urgent necessity. Based on these considerations, our research aims to add to the knowledge on the digital performance of the Member States in the context of the transition to a climate neutral economy, by analyzing the mutations that have occurred in the digital performance of the EU countries in the period 2015–2020, as well as forecasting developments for the year 2025. In order to obtain a relevant result, we used the components of the DESI index, published by the European Commission, and the variables were processed through hierarchical cluster analysis. The results demonstrate that, around the core formed in 2015 by four high digitally performing countries from the North of Europe in 2015, other countries have gradually clustered, so that in 2025 we estimate that a number of eight Member States will be part of the group of the most digitally performing countries. These countries are decisively committed to the transition towards a climate-neutral economy, their initiatives and examples of good practice can be taken up by all European and non-European countries pursuing the same objectives of sustainable development.

Technological innovation and infrastructure resilience are key pillars of sustainable economic development in the European Union, directly contributing to the achievement of Sustainable Development Goal 9 (SDG 9). This goal supports the transition to a competitive, climate-neutral and digitized economy by 2050 by strengthening resilient infrastructures, promoting sustainable industrialization and fostering innovation capacity. This study investigates EU Member States’ performance against SDG 9, using a set of indicators provided by Eurostat and applying the Holt-Winters (AAA) forecasting model to project trends through 2030. The analysis covers key areas such as R&D expenditure, patent activity, sustainable mobility and industrial emissions intensity. The results reveal significant progress in strengthening innovation capacity in some Member States; however, considerable regional disparities remain, particularly in transport infrastructure and industrial decarbonization. The study therefore highlights the need for integrated public policies, enhanced trans-national cooperation and targeted financial support to reduce structural gaps and accelerate sustainable convergence at European level. The conclusions emphasize the importance of an adaptive policy framework that harnesses the potential of emerging technologies and strengthens the resilience of industrial and infrastructure systems to meet the EU’s climate and economic objectives.