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.

Optimum Asset Management has been and is today a concern in the management of an enterprise, its effects being felt as indicators of results. The way in which asset management results indicators and thus affect the profitability of an enterprise have proved it by conducting a case study in the companies in the food industry Spania.Modul Rioja region where asset management results indicators and thus influence the profitability of businesses I demonstrated by conducting a case study in the companies in the food industry of the region Rioja Spain. The program is used to establish the correlation SPSS while watching the correlation and its economic-mathematical modeling and using SABI research platform, the platform belonging to the University of Rioja, Spain. We chose the food industry because of this industry perishable products requires proper management as the company's assets.

Europe is in the middle of an energy crisis, exacerbated in large part by skyrocketing gas costs. Renewable energy is critical in this environment for decreasing Europe’s reliance on imported energy; boosting renewables in Europe requires a ‘New Energy Compact’—a coordinated effort throughout Europe to build more renewable energy capacity. The purpose of this research is to examine the structure of renewable energy production in Romania between 2010 and 2020, as well as the green employment produced by the renewable energy sector in Romania between 2010 and 2019. Using the Markov chain approach, it was predicted that in 2025, the hydropower industry’s employees would account for the biggest proportion of the overall average number of workers engaged in the renewable energy production sector in Romania (74.68%). Solar energy production employees will account for 14.31% of the average number of workers in the renewable energy production sector, biomass energy production employees will account for 5.8%, and wind energy production employees will account for 5.2% of the average number of workers in the green energy sector.

This paper aims at providing a different approach to international migration analysis, beyond classical models previously proposed by specialized literature. Chaos theory is getting more and more applied into macroeconomics once traditional linear models or even previous dynamic analysis become less suitable. Modern science sees chaos as unpredictable evolution, maybe even disorder. Still, chaos has got its own rules and can describe many dynamic phenomena within our world. Thus, we test whether international migration data falls under the rules of chaos and whether recent developments within the "European migration crisis" (the total daily migration inflows towards the coasts of Italy, by sea,

The paper envisages aspects concerning identification of the competitive advantage of a tourist destination from a double perspective: the critical contribution of the employees and the ICT impact on promoting and selling the destination. Research methodology includes "bottom to top" analysis of the mentioned indicators. Thus, results include the eficientisation of tourist businesses and destinations due to both human element development and ICT technologies. Two essential basis of the competitive advantage are isolated: differentiation and cost advantage. ICT creates a series of new working types through new applications and its use in management and distribution of key functions such as yield.