In this paper, the authors aim to realize an in-depth analysis of the current characteristics of the globalization phenomenon from the viewpoint of the European Union and Romanian economy. The study will pursue some of the globalization indicators published by Eurostat, their status and a multidimensional perspective on their evolution. Namely, the foreign trade, the foreign direct investments, the employment, value added shall be subjected to analysis. The authors will apply statistical and econometric techniques to outline the behavior of economic globalization, depending on the values and dynamics of the support indicators. The structural and dynamic evaluation shall consider the main aspect of the multi-dimensional perspective, the geographical dimension. Both statistical and econometric tools applied lead to a set of conclusions, either general or subject-oriented, which show the present impact and trends of globalization in the European Union and Romanian economic activity. The research question was focused on how strong is the influence of globalization indicators on the economic growth for European Union and Romania. The results outline the behavior of the globalization indicators in the recent period, with focus on the effects of the economic crisis. The main indicators considered were the net export, import, export and the foreign direct investments, and their impact of the Gross Domestic Product is also revealed.

The three-dimensionality of sustainability links the following fundamental areas: ecology, economy and society. Sustainability controlling focuses on a three-dimensional sustainability-oriented system of corporate goals, which equally includes economic, environmental and social goals. Therefore, the objective of sustainability controlling is the comprehensive support of sustainability management, namely formulating and implementing a corporate policy that comprehensively covers all three dimensions of sustainability – people, planet, and profit. One of the pillars in defining sustainability is the environmental pillar. Among the three pillars of sustainability, the environmental dimension is the one that receives constant attention from academia, organizations and policy-makers. Governments, international agreements, society and various stakeholders pressure organizations to improve their behavior towards the natural environment. Thus, authors chose to focus in the present research on green controlling. There is a variety of terms used to name “green controlling” such as environmental controlling, ecologically oriented controlling, ecological controlling, eco-controlling etc. The concept is widely spread and accepted in German-speaking countries, whereas the Anglo-American scholarly community conceptualizes “environmental management control systems” or “environmental management accounting”. The authors’ objective is first to clearly define the concept of “green controlling” and secondly, to thoroughly state the most relevant instruments of green controlling for each of the following areas of responsibility: supply area, disposal area, environment area, adaptation area and coordination area. The importance of the presented research lies in the need of both controllers and managers for a clear set of easily and efficiently applicable instruments of green controlling, in the lack of which any theoretical debate lacks on relevance.

In this paper, the authors seek to analyze if the relationship between final consumption and foreign trade indicators, at a macroeconomic level, manifests as a Granger causality. The graphical representation of the datasets reveals that the evolutions follow a similar pattern (with the exception of the net export). The indicators on both sides of the causality have been widely approached by researchers, as they contribute to the formation of the Gross Domestic Product. The research methodology follows the Toda-Yamamoto procedure for measurement of Granger causality, as the variables were expected to be (and were found to be in the initial step of the data analysis) non-stationary, and the results on the processing in levels can provide more accurate information. The research hypotheses were designed in order to detail the main topic of the paper on foreign trade indicators. None of the hypotheses has been validated, and the authors consider, in the future, the application of other methods to assess the quantitative side of the links between foreign trade and final consumption. The authors consider that a significant contribution brought by this study is the type of data analysis method applied and the approach towards the two macroeconomic components of the economy, for the cases of Romania and the entire European Union, of which Romania is a member.

In this paper, the authors aim to measure the influence of the macroeconomic indicators that characterize a national economy on some key national health indicators. The purpose is to obtain an updated evaluation of the population medical status, under the impact of either growth or economic decline. The analysis focuses especially on Romania but also on other countries, to be able to investigate comparatively national indicators and trends. Multiple data sources have been used for an in-depth analysis, to fit in an appropriate manner the purpose of the study. Static and econometric data analysis software was applied on primary data, as analysis instruments. The correlation coefficient and the regression were the tools used to obtain the study conclusions. We start from the premise that the potential of statistic data sources, combined with the processing power of the data analysis tools would be able to lead to the best result. We have also reviewed the previous studies performed on the same topic and, along with our data, the obtained conclusions should have a certain value and interest not only for current needs and utilization, but also for future researches. The authors are aware of the direct influence between the macroeconomic status (or performance) indicators and the indicators that characterize the health of the population, and will attempt to measure the intensity of this impact on several key selected domains.