This article presents a dataset aiming to examine the nexus between financial well-being, financial behavior, and financial literacy in Romania. A questionnaire-based survey was conducted on a representative sample of 1,391 respondents, selected through a multistage stratified random procedure. The questionnaire encompasses 34 questions aimed at uncovering individual abilities to manage personal finances, attitudes towards several financial instruments or techniques and financial knowledge. We construct one index for measuring financial well-being and three difficulty-ranked financial literacy indices. The indices are adapted to existing measuring techniques to allow for cross-country comparisons. The dataset connects research on the factors determining financial well-being, socio-economic characteristics or behavioral traits, with the measurement of financial knowledge and skills. The provided data can be used by policy makers in designing a national strategy of financial education, as well as by education providers and practitioners in their teaching process. The academy and researchers could also use this data to conduct inter-country financial analysis or studies at the aggregate level.

In this article, we aim to study systemic risk spillovers for European energy companies and to determine the spillover network of the energy sector with other economic sectors. To examine the spillovers within the energy sector, we employ three systemic risk measures. We then embed the results of these models into a Diebold–Yilmaz framework. Moreover, we consider an entropy procedure to extract a Bayesian formulation of its systemic risk spillover. This allows us to determine which company in our sample contributes the most to systemic risk, which company is the most vulnerable to systemic risk, and the place of the energy sector within risk networks. Our results reveal the fact that all companies manifest enhanced spillovers during 2008, early 2009, and 2020. These episodes are associated with the dynamics of the global financial crisis and the pandemic crisis. We notice that specific companies are risk drivers in the sector in both times of market turbulence and calm. Lastly, we observe that several economic sectors such as banks, capital goods, consumer services, and diversified financials generate relevant spillovers towards the energy sector.

We investigate the dynamics of systemic risk of European companies using an approach that merges paradigmatic risk measures such as Marginal Expected Shortfall, CoVaR, and Delta CoVaR, with a Bayesian entropy estimation method. Our purpose is to bring to light potential spillover effects of the entropy indicator for the systemic risk measures computed on the 24 sectors that compose the STOXX 600 index. Our results show that several sectors have a high proclivity for generating spillovers. In general, the largest influences are delivered by Capital Goods, Banks, Diversified Financials, Insurance, and Real Estate. We also bring detailed evidence on the sectors that are the most pregnable to spillovers and on those that represent the main contributors of spillovers.

Balance-sheet indicators may reflect, to a great extent, bank fragility. This inherent relationship is the object of theoretical models testing for balance-sheet vulnerabilities. In this sense, we aim to analyze whether systemic risk for a sample of US banks can be explained by a series of balance-sheet variables, considered as proxies for bank liquidity for the 2004:1–2019:1 period. We first compute Marginal Expected Shortfall values for the entities in our sample and then imbed them into a Random Forest regression setup. Although we discover that feature importance is rather bank-specific, we notice that cash and available-for-sale securities are the most relevant factors in explaining the dynamics of systemic risk. Our findings emphasize the need for heightened prudential regulation of bank liquidity, particularly in what concerns cash and immediate liquidity instrument weights. Moreover, systemic risk could be consistently tamed by consolidating bank emergency liquidity provision schemes.

The approach of studying the perceptions of Romanian farmers regarding the bioeconomy brings an element of novelty, and the study intends to add value to works in the field. The literature regarding the attitudes of farmers towards the adoption of new bioeconomic practices is quite limited at the European level and even more so in Romania. However, Romania’s agricultural potential is recognized nationally and internationally. This article aimed to explore the attitudes of Romanian farmers towards the bioeconomy and to take a step forward in determining a set of scientific actions necessary for the initiation of a national strategy dedicated to the bioeconomy. The quantitative research presented is based on a comprehensive survey. The analysis revealed the role of the bioeconomy in agricultural activities and the expectations of respondents in relation to the main aspects addressed by the concept of bioeconomy. The findings pointed out the contribution of Romanian public institutions in explaining and promoting this complex phenomenon to agricultural workers. The results led to three main conclusions: (i) farmers’ attitudes towards the bioeconomy are generally positive, although their knowledge is limited; (ii) public authorities are not sufficiently involved in supporting and promoting the bioeconomy; (iii) the bioeconomy is underfinanced at the national level. The findings draw attention to a great investment potential in the agricultural field that could foster job creation and regional development in Romania. A closer collaboration between researchers, decision-makers, local authorities, and farmers as well as the expansion of technological research are the conditions needed for the development of the bioeconomy in the agriculture of Romania.

The bioeconomy is a complex and increasingly relevant field, and agriculture represents an essential sector for its development. The bioeconomy presents an opportunity for sustainable agriculture that is beneficial for the environment and public health, both globally and particularly for nations with centralized agricultural systems, such as the former socialist Central and Eastern European Countries (CEECs). This article takes a novel approach to investigate the bioeconomic indicators in CEECs’ agriculture. It combines the hierarchical grouping method with an index based on socioeconomic indicators specific to the bioeconomy. It aims to find how the selected countries performed in terms of agriculture indicators. The socioeconomic indicator analysis showed that some countries had more linear evolutions than others, while some of them clearly outperformed the average of the region. The cluster analysis divided the countries into three relevant groups. The findings revealed patterns of convergence, but also important differences in the region. These results strengthen the scientific basis for the creation of agricultural bioeconomy strategies and argue for the need of the active engagement of all BIOEAST members in the initiative. We argue that agricultural architectures in Central and Eastern European countries are not just determined by employment circumstances or the extent of agricultural areas, but also by the dynamics of the value of the indicators.