Renewable energies have an essential role in reducing various forms of pollution. The policymakers within the European Union place more and more emphasis on the replacement of internal combustion engine vehicles with electric vehicles in order to reduce emissions. The aim of this research is to analyze the current trends in producing and using renewable energy until 2028 and to estimate the impact of replacing the current internal combustion engine cars with electric cars. The significance of this study emerges from the estimation of the amount of electricity needed to replace current cars with electric cars and if it can be covered from green sources, based on the forecast of green energy until the year 2028. In addition, we also calculate in this study the impact on the public budgets of the European Union member states, as a result of the reduction of excise duties for fuels, following the reduction of their consumption. The research was carried out based on the extensive literature on the subject and data from Eurostat. The data used in this study are from 1990 to 2021. In this research we have used the IBM SPSS application with two of the most used forecasting algorithms: exponential smoothing model and autoregressive integrated moving average (ARIMA), based on the statistical analysis of the historical data. The estimated results showed that the replacement of traditional fuels will lead to an increase of 12.18% for electrical energy, and it could be covered 100% from green sources, if needed, even before 2028. There are many implications of this study for policymakers and the population. The results show that we still need policies to stimulate electricity production from renewable sources. There is a challenge regarding reducing government revenue due to fuel excises, which can be compensated by updating tax policies, with an impact on population and living standards. Furthermore, maintaining and adapting support schemes for electric cars, as well as expanding electric car infrastructure and smart grids are also challenges that need to be addressed by the policymakers and the industry.

The development of information technology, along with the high growth and diversification of consumer needs, has revolutionized the way in which business-to-consumer transactions occur. All this progress was boosted by the COVID-19 pandemic period in a different manner in each EU country, depending on different local aspects. The main goal of this paper is to determine the key characteristics of e-commerce in European Union countries in a pandemic context, based on Eurostat Digital Economy data for 2019–2020. Therefore, for an easier visualization, based on PCA, using 27 analyzed variables, new unique dimensions were revealed: 1. heavy online purchasers, 2. triggers for embracing digital purchasing, 3. perceived barriers against buying online (privacy concerns, security, or not having a card), 4. dynamics of online interaction with public authorities, and 5. enterprise online sharing. Moreover, clustering techniques set four groups of countries with different online commerce patterns that might require attention, according to their specificities, both from a government level and from a business perspective. Special attention is paid to Romania, which has one of the biggest e-commerce industries in Southeastern Europe, but with the share of e-commerce in total retail still quite low, despite this great increase. The models of other countries could be important in helping Romania to catch up with the most successful economies in terms of e-commerce.

The mortality rate is a global indicator that reflects the standard of living and the population health condition, but also a variable that shows the social-economic development of a society. This paper proposes the investigation of some economic conditions and their influence on mortality by literature reviewing and also through a statistic analysis based on 28 European Union countries. In order to study the tendencies of this phenomenon, it was analyzed the influence of some economic factors like the GDP per capita, income discrepancies, inflation rate, budget deficit and also the “snowball” effect for 16 years (from 2000 to 2016) using a panel regression model with fixed effects. The resulted regression model captures the major changes on a long term of mortality rate trend for the population aged 15 and 65 years.

Finding the main influencers in brand indicators is a challenge for every marketing manager and researchers working in the branding investments area. How much to invest, which is the proper media channel mix or what is the influence of brand heritage are the questions of interest and which the paper responds to. Therefore, this paper is aiming to analyze the brand performance indicators in 2018 (awareness, trial and usage) for over 700 brands in Romania based on their investment on each media channel for 2014-2018 period and 2014 brand indicators. As for characterization of media investment 47 variables were retained, principal component analysis was used for reducing factors of influence. Thus, four main components were retrieved: media investment in absolute measures, main and second proportion in terms of media channel mix, and qualitative aspects of the brand. In conclusion, some multivariate regressions were built for identifying impact on each 2018 brand indicator using the four principal components and 2014 levels of the brand indicators.