Sustainable innovation at a company level drives economic, environmental and social improvement at a national level. Recent evidence has shown that businesses have increased the managerial attention and investments dedicated to sustainability. This paper aims to identify the most important drivers supporting companies to develop innovation activities oriented towards making the business models more sustainable. We explore microdata from the 2016 Innobarometer “EU Business Innovation Trends” (Flash Eurobarometer 433), covering 8635 companies from 29 countries. Using statistical classification methods, we identify the most important factors that are related to innovation activities that have the potential to shape the efficiency of raw material usage and environmental protection. The most relevant factors emphasized by our analysis are: innovation performance of the country (innovation), percentage of the company turnover invested in innovation activities, percentage of total turnover invested in acquisition of machines, equipment, software or licenses, percentage of total turnover invested in company reputation and branding, including web design, percentage of total turnover invested in software development.. Also, our analysis highlights the skills that are needed the most by companies in order to support their innovation activities targeting sustainability. Our results are useful for better understanding the attention that is given to sustainability by innovative companies, and what the main factors that boost innovation dedicated to sustainability are.

Healthcare systems aim to provide access to good quality care, while ensuring equity and solidarity. The fiscal sustainability of healthcare systems has become a matter of concern in recent European Union (EU) debates, considering the ever increasing need for adequate healthcare determined by factors such as aging population, investments in technology and infrastructure, medical products and wages. Our paper seeks to measure the health system performances of the EU countries by building up a composite index, which will then be used as a tool in investigating the relationship between health performance and the fiscal sustainability of health systems. A principal components analysis (PCA) was applied to build the composite index through the use of the most relevant health indicators provided by Eurostat and the Sustainable Development Knowledge Platform. The composite index offers a comprehensive performance assessment and provides a clear ranking of the EU countries based on their health system performances. Further investigation of the link between health performance and fiscal sustainability revealed that higher ranks are associated with higher shares of health expenditures in gross domestic product (GDP), a large share of employment in the health sector, and higher duration of working life. These patterns are followed by efficient health systems, encountering reduced sustainability risks.

Research and development activities are one of the main drivers for progress, economic growth and wellbeing in many societies. This article proposes a text mining approach applied to a large amount of data extracted from job vacancies advertisements, aiming to shed light on the main skills and demands that characterize first stage research positions in Europe. Results show that data handling and processing skills are essential for early career researchers, irrespective of their research field. Also, as many analyzed first stage research positions are connected to universities, they include teaching activities to a great extent. Management of time, risks, projects, and resources plays an important part in the job requirements included in the analyzed advertisements. Such information is relevant not only for early career researchers who perform job selection taking into account the match of possessed skills with the required ones, but also for educational institutions that are responsible for skills development of the future R&D professionals.

Education is a key factor that can contribute to the economic growth, supporting the social mobility and the living standard improvement. Both from the scientific point of view, as well as from the policy making process point of view, it is essential to know how individuals choose their educational path, in order to understand what is and can be the role of different educational routes in ensuring social mobility and improving standard of living. In this article we explore the factors that explain attitudes and decisions of individuals for vocational vs. general education in Romania. Our analysis is based on data from a national survey among adult Romanian population. Attitudes regarding the choice of vocational vs. general education are analysed by employing decision trees method in order to assess the extent to which vocational education is considered a valuable education path or an educational alternative for those with lower socio-economic background.

Understanding human behavior in the decision-making process represents a challenge for researchers in the socio-economic field. The complexity comes from multiple criteria acting simultaneously. Hiring decisions are made on a set of criteria representing the attributes of the applicants. This study’s main objective is to investigate Romanian employers’ behavior when recruiting for jobs targeting graduates from economic studies. The method used to identify the weights employers assign to different skills was based on an experimental technique-choice based conjoint. A survey experiment was conducted to produce causal conclusions about the recruiting process. The estimation was performed with a methodology based on machine learning, which allows to investigate interactions between subjects’ characteristics and conjoint criteria. The findings of our experiment align with other studies pointing to the increased relevance of non-cognitive skills for employability. Additionally, our results show that criteria weights in hiring decisions depend on company size, ownership, activity sector or personal characteristics of the recruiter. Our research provides a mechanism for understanding employers’ perspectives. This is valuable for informing job seekers to adjust their job search strategies and to invest in the skills offering hiring opportunities. Moreover, universities can use the results to adapt their educational programs to labor market needs.