Water pollution has become a global problem and its impact on the health of the human population is growing day by day. This study aims to assess the pollution of the Cibin River (Romania) by a physicochemical analysis. Water samples have been collected from four locations along the Cibin River over a period of 12 months. At this time, there are several commonly used Multiple-Criteria Decision Analysis (MCDA) methods for the assessing the impact of pollutants on the environment. In this research, we used the Analytic Hierarchy Process (AHP) multi-criteria method to evaluate each sampling station’s physicochemical parameters. The significant results place the river in the first (sampling stations 1, 2 and 3) and second (sampling stations 4) water quality classes. Another significant result of this work is that the research using GIS software allowed an integrated automatic data collection system and displays interactive results.

The pollution caused by road traffic is a significant problem for society in the 21st century. Climate change and mortality among the population, are increasingly influenced by increasing traffic in urban agglomerations. The present study aims at the multi-criteria analysis of the pollution caused by traffic at several busy intersections in the city of Sibiu, Romania. Classification of intersections was done using the Synchro Studio with Warrants software. Air pollutants, noise, and the number of vehicles in the traffic were taken into account. To analyze these criteria as a whole, the analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods were used. A comparative study has been undertaken on the results obtained by applying the two multicriteria methods. The paper aims to provide solutions for the eco-economy of the future.

The overall perspective of the last decades on the economy and society evolution brings to the fore the undoubted influence of the technological progress on the two interconnected key spheres. Digital transformation ensured the transition to new models in almost all fields of activity, being recognized over the years as a real competitive advantage. Moreover, the characteristic circumstances of the modern world lay the groundwork for new directions that support the digitalization, aiming to enhance the quality and performance of processes mediated by specific providers, as well as to satisfy the needs and requirements of final consumers. The financial spectrum, including its all-related activities, was naturally subjected to the digitalization process, thus ensuring the transition from traditional financial services to financial technology. Gaining an increased interest from companies, financial technology, well-known nowadays as FinTech, has certainly gone beyond the limitation to the banking services. In the current context, with a narrow but significant view, FinTech can be defined as the cluster of digital financial services carried out without the intermediaries' intervention. Even though the implementation of FinTech has become an objective for many entities, the process itself can be influenced by various factors. Among the conditions preceding the overall digital transition facilitation, education has often been identified. Under these considerations, the existence of a causal relationship or, at least, of a direct connection between the adoption of financial technology and education can be called into question. Providing a better understanding of the addressed subject requires, as a preliminary step, the analysis of the two considered concepts, namely FinTech and education, from the perspective of existing scientific research. Thus, the purpose of the current research was to identify some notable aspects regarding the potential relationship, at conceptual level, between financial technology and education. Achieving the predefined goal involved performing a bibliometric analysis, based on the scientific publications indexed in the Web of Science database. The obtained results reveal both the growing interest on the research topic, but also the existence of a direct or indirect cause-effect association between FinTech and education.

Agriculture is a business sector ideally suited for the application of Geographic Information Systems (GIS) because it is natural resource based, requires the movement, distribution, and/or utilization of large quantities of products, goods, and services, and is increasingly required to record details of its business operations from the field to the marketplace. Nearly all agricultural data has some form of spatial component, and a GIS allows you to visualize information that might otherwise be difficult to interpret. Environment has a major impact on agriculture. In this paper we presented how GIS software can be used to analyze risk factors that influence agricultural production naturally. Natural risk factors were taken into account are: land degradation, flooding, humidity, action on farmland of the wildlife. The conclusions drawn from this paper using GIS allows the adoption of important measures on a short or long time to reduce natural risk factors on agricultural production. The advantage of this model is possibility to bee extended to national, regional and global area.