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Taking into consideration the recent debates on adopting a progressive tax system over the flat-rate taxation, our paper aims to investigate the impact of a change in the current Romanian personal income tax policy system from the 10% flat-rate tax system to some alternative progressive taxation scenarios. The methodological approach consisted in using the European Union Survey on Income and Living Conditions (EU-SILC) database to micro-simulate the impact upon poverty and income inequality. Through our ex-ante tax policy analysis we bring empirical evidence of a modest, but positive effect upon poverty rate and income inequalities in favor of a progressive taxation system. However, when looking at the government financial implications through the personal income tax budget revenues, we discuss upon the possible trade-off between the benefits on poverty and income inequalities and the possible budgetary drawbacks. Despite the data limitations, this study has the benefit of being among the first attempts to evaluate the impact of a personal income tax policy reform for the case of Romania.

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.

Business failure prediction is an important issue in corporate finance. Different prediction models are proposed by financial theory and are often used in practice. Their application is effortless, selecting only few key inputs with the greatest informative power from the large list of possible indicators. Our paper identifies the financial distress predictors for 5 post-communist countries (Bulgaria, Croatia, the Czech Republic, Hungary and Romania) based on information collected from the Amadeus database for the period 2011-2013 using CHAID decision trees and neural networks. We propose a short list of indicators, which can offer a synthetic perspective on corporate distress risk, adapted for these countries. The best prediction models are substantially different from country to country: in the Czech Republic, Hungary and Romania the flow-approach indicators perform better, while in Bulgaria and Croatia-the stock-approach indicators. The results suggest that the extrapolation of such models from one country to another should be made cautiously. One interesting finding is the presence of the ratios per employee as predictors of financial distress.

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The paper presents a method for evaluating and ranking researchers affiliated with a research and development institute. The method has been applied within the Multi-Attribute Decision Making paradigm, multi-decision maker and mono-state of nature sub-paradigm. The decision-makers are several members of the institute's Scientific Council, chosen bc means of ONICESCU method to make the mathematical modelling. Researchers' expertise lies in Academic Statistics, belonging to the scientometrics domain, whose weights are constructed bc DEMATEL method. The evaluation of researchers uses MAUT method. Bc adopting the current approach, the ranking of researchers upon their scientific merit is thus made possible.