Comparative evaluation of environmental impact assessment frameworks in Morocco and the World Bank using structured performance criteria

The improvement of global Internet access and the COVID-19 pandemic, which necessitated mass testing of online teaching methods, have forwarded the competition between higher education institutions from the regional level and the struggle for the rich student into the competition for students in all countries. The paper aims to determine the influence of the rating of higher education institutions on the interest of Internet users by conducting a comparative analysis of the popularity of the official names of higher education institutions in search queries in Ukraine and Poland. To do this, a comparative analysis of the change in the interest in leading higher education institutions in Ukraine and Poland in search queries in the Google search engine is carried out. The analysis is performed using the Google Trends web application. As a result, it is found that a high position of the university in the national ranking does not guarantee more search queries about it on the Internet by both national Internet users and users from the neighboring country. In general, Internet users continue to be most interested in universities located in their region at the time of the search.

This study applied Altman Z-score model to assess the bankruptcy risk of a set of multidisciplinary enterprises of various types, mainly small and medium enterprises, with data taken from official financial reports of 180 enterprises in Soc Trang province. The binary logistic regression was employed to assess the impact of non-financial and financial factors on the bankruptcy risk of enterprises. The research findings showed that both the non-financial factors such as business area, types and size of the business, the educational level of managers and executors and other characteristics, and the financial factors (indicators) such as earnings before tax, net profit/equity ratio, earnings before interest and tax/total assets ratio, equity/total debt ratio, affect the bankruptcy risk of enterprises. Predicting the bankruptcy risk and measuring its determinants play an important role not only as an effective managing tool of the business, but also as evidence for policymakers to support the sustainable development of business.

The widespread use of information and communication technologies and subsequent transformations have led to the formation of a digital economy (DE). The European Union, as an international organization, has become the subject of building such an economy, striving to bring member countries closer in the field of digitalization.
The aim of this paper is to compare the DE development parameters of the EU countries based on cluster analysis and determine the most significant of them to solve the problems of bridging the digital divide between countries. For clustering, a feature DE vector of 20 indicators was created and the k-means algorithm and the Euclidean distance metric were used. For classification, the decision tree method was applied.
Three clusters of EU countries were identified by the level of DE development (leaders, followers and outsiders), which allowed assessing their positions relative to each other. Key parameters that determine countries’ positions in the general rating are identified. A parameter chart is generated to control the establishment of DE in the EU countries, which, in addition to key parameters, includes maximum, minimum and harmonic mean values of these parameters by cluster. This characterizes the landscape of DE development in the EU countries, assesses the digital divide and is the basis for decision-making in the area of bridging this divide.