The main objective of the paper is to highlight Romania’s perspectives on the transition process towards the circular economy, in respect with the tendencies registered at the level of the European Union. To this end, our methodology involved the selection of four indicators, each one being viewed as representative for one area of interest specified in the circular economy monitoring framework established by the European Commission, namely: Generation of waste excluding major mineral wastes per domestic material consumption; Recycling rate of municipal waste; Circular material use rate; Gross investment in tangible goods—percentage of gross domestic product. On the basis of data series provided by the Eurostat database, our study employed a quantitative approach, by using the econometric analysis of time series. For each selected indicator, time series-specific approximation and prediction models were constructed; against this background, we were able to reveal accurate forecasts of the analysed variables, with respect to different time horizons. Detailed analysis of the data series resulting from the research proved that on the long run, there are favourable premises for improving Romania’s performance in adopting the circular economic model, on the basis of low values for the indicator “Generation of waste excluding major mineral wastes per domestic material consumption”, of an ascending trend for the indicator ”Circular material use rate” and of maintaining the values of the “Gross investment in tangible goods—percentage of gross domestic product” indicator above the EU-27 average.

Entrepreneurship can provide a creative, disruptive, problem-solving-oriented approach to the current economic, environmental, and social challenges of the world. This article aims to provide an analysis about the way universities can have an impact on developing entrepreneurial competence in students through extracurricular activities. The research relies on a questionnaire survey of students at the University of Petrosani, who participated in a range of entrepreneurial activities both online during the COVID-19 pandemic and face-to-face afterwards. The methodology consisted of applying principal component analysis to reduce the dimensionality of the indicators, followed by classification of the respondents through cluster analysis and training of a feedforward neural network. After finishing the network-training process, the error was minimized, resulting in three classes of respondents. Furthermore, based on the three classes, follow-up conclusions, policies, and decisions can be issued regarding the perception of entrepreneurship at the societal level, which is beneficial for academia and entrepreneurs, as well as for future research undertaken in this field. The key conclusion of our research is that entrepreneurship education is a real facilitator of the transition to sustainable entrepreneurship. Students perceived meeting successful entrepreneurs as being among the most effective extracurricular activities, assessing online activities as useful, and the field of study proved to be an important factor in their entrepreneurial intention.