Introduction: Organizations currently emphasize green marketing strategies by implementing marketing practices, aiming to design, produce, promote and sell green products. Thus, both consumers and producers have turned their attention to the category of environmental friendly products, taking into account that the concept of green marketing is now being given greater importance. Responsible organizations have begun to adapt their strategies in production, promotion and interaction activities with consumers or potential consumers of organic products in the context we are going through, when environmental protection becomes an imperative. Analysis of the sustainable behavior of Generation Z is a determining factor from the perspective of the task that this generation will naturally take on, in terms of environmental responsibility.Methods: The research aims to determine the profile of the Generation Z consumer, in order to adapt the strategic actions of the government or organizations to direct and educate as objectively and efficiently as possible towards adopting the principles of ecological, sustainable and responsible consumption. Based on the data collected through a survey, we analyzed the sustainable behavior of Generation Z consumers studying at Romanian universities where there are specializations in this field. The research is quantitative, using structural equation modelling with partial least squares (PLSSEM) to test the hypotheses regarding the relationship between the determining factors and the sustainable behavior of Generation Z consumers.Results and Discussion: The results show that there is a positive relationship between both the sustainable behavior of Generation Z consumers and the satisfaction it conveys to them, as well as their environmental protection activities. However, there is no relationship between the sustainable behavior of Generation Z consumers and the green marketing practices of the organizations, environmental issues and their identification with the environmentally responsible consumer.

The former communist states experienced a period of turbulence in the transition to the market economy and then the accession to the EU, turbulences that also influenced the education sector. This article aims to analyze the impact of public spending on education on economic growth in 11 former communist Eastern European states, current EU members. The methodology used is ARDL with structural break. The results are consistent with those previously obtained The public education expenditure-economic growth relationship is mixed on long term; for five countries, there is no such thing; for six countries, there is one on a long term. On a short term, also, mixed results manifest for four countries are positive, and for two negative.

China has received significant foreign direct investment in the last few decades; the FDI inflow could affect the environment, income, and people’s health. Therefore, this paper aims to investigate the relationship between FDI, renewable energy consumption, CO₂ emissions, and Population health quality in China for the period 1980–2020. We applied the VECM method for the data analysis for the short and long-run effects of the independent variables. In the short run, FDI and CO₂ emissions did not affect health quality in China; however, in the long run, FDI and CO₂ emissions improved life expectancy. Renewable energy has both run and long implications for the health quality in China. These results reflect that FDI creates more jobs in China and improves the overall income of Chinese citizens, contributing to more accessible healthcare services in the long run. Therefore, the government should provide incentives to increase the FDI inflow, which uses renewable energy in production. Furthermore, to mitigate the CO₂ emissions government should implement a carbon tax on the industries which has substantial CO₂ emissions in the country.

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO₂ emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.