Ganna Kharlamova

The article contains a thorough study of tourist flows in Ukraine during the last 18 years. The tendencies of the development of international tourism during the last 20 years and their influence on the development of tourism in Ukraine have been explored. Particular attention is paid to the analysis of inbound tourist flows. The negative dynamics of tourist arrivals in Ukraine led to the construction of a forecast model for the development of this component of tourism activity with the aim of an objective assessment of future tourist arrivals and the adoption of effective management decisions on improving the situation of tourism in Ukraine. Tourist destinations today are rigorously competing for consumer interest in tourism products. In view of this, tourist facilities operating in the tourist market place particular emphasis on the elements of tourism marketing (product, price, distribution, advertising, human capital, actual data, processes).
Modern forecasting systems and methods have been used to build a forecast of tourism development in Ukraine and, in particular, arrivals of foreign tourists to Ukraine. An analytical forecasting model was built by the system of CurveExpert in the form of a polynomial function, analytical forecasting models were built by the system of computer algebra Maple in the form of piecewise linear and piecewise polynomial functions. Numerical prediction models in the MathCAD system using different types of spline-interpolation and predictive functions have been constructed. A comparative analysis of the results of forecasting in different systems was carried out. The results of the comparative analysis give confidence in the development of inbound tourism in Ukraine.

Actuality
The concept of output gap plays an important role in traditional macroeconomic theory, applied research and monetary policy.

Goal
The paper reveals analyses of the potential economic development in Ukraine and in some countries of the world under limited information. Thus, the practical goal is to consider the best modelling approach for the possibility to regulate GDP in Ukraine, as it has been experienced in other countries of the world.

Method
The research is realized with the help of economic-mathematical modelling of GDP gap based on the analysis of the production function, statistical methods of distinguishing the trend component, one-dimensional filtration, multidimensional filtration.

Results
Practical importance of the paper includes implementation of methods for estimating potential GDP and the GDP gap, in particular, the authors proposed to use an approach based on the production function for the potential growth of European countries modelling. The model reveals that for the Eurozone countries, in the short term, it is not expected that the economy will reach its potential level. The negative forecast is explained by the fact that the Eurozone has been severely affected by the debt crisis. There has been a significant increase in the gap in production volumes, which in turn led to deflation. Despite the uncertainty in the assessment of potential GDP and GDP gap for Ukraine the multidimensional method provided the best modelling result. Thus, it is disclosed that Ukraine is under the growing wave of the business cycle, but not in the synergy with the EU dynamics.

Strengthening the integration of higher education, research, and innovation is a crucial requirement of time. The entrepreneurial university today is considered and analyzed as a promising model for their combination. The educational and scientific systems of many countries are faced with the task of converging all vertices of the “knowledge triangle.” The problem of Ukrainian educational and scientific system is a necessity to implement the concept of formation of the innovation and entrepreneurial model of a modern university, which will enable the effective implementation of administrative reforms in this field. The article aims to analyze the impact of innovative environmental factors on the development of entrepreneurial universities in Ukraine, based on correlation and panel regression analysis. The method of quantitative analysis (panel regression) is used to formulate the key results of the article. The results show that the growth of government expenditures by 1% leads to an increase in the Global Innovation Index by 0.375 in 4 years. Also, every additional 1% of people working with new technologies increases the level of Global Innovation Index by 0.75 annually. Despite European trends, Ukrainian educational environment does not contribute to the development of innovation and entrepreneurial universities (the education expenditures are ineffective). The research provides a vector for understanding the implementation of the most effective strategies of promising innovation and investment development of education and science in Ukrainian universities, considering their existing potential and contemporary world trends of development.

The COVID-19 has put higher education institutions in a new situation and identified bottlenecks in the financial structure of institutions and education systems in general. However, for Ukrainian universities, this situation can be seen as an opportunity to achieve financial autonomy. This study is devoted to the consideration of a possible tool for the financial autonomy of Ukrainian classical universities, most of which are state-funded. The paper considers the methodology of a possible tool for the accumulation of external financing – the endowment fund. The case analysis and analytical consideration of world practice are applied. As a result, a model for financing the university in its transition to the innovation and entrepreneurship model is proposed as the chain “endowment fund – development of start-ups”. This example can become the basis of the road map for other national HEIs, as well as the practice of wider use in the field of higher education. However, despite most of the national classical universities have declared a course to an innovative development, which further raised the necessity of external funding, top management and general economic situation require more attention. As this transition to a new model of the university is taking place along with the financial stabilization and under economic and social upheavals, the formation of a new culture of online communication is necessary. Thus, the proposed model is the practical guideline of possible decisions but mostly the start-point for further discussion and research.

Acknowledgment
This paper is done in the framework of the grant project “Financial stabilization of classical universities in the context of the global consequences of the COVID-19 pandemic” funded by the National Research Foundation of Ukraine “Science for Human Security and Society” (2020-2021).

In 2020, due to the COVID-19 pandemic, university funding in Ukraine suffered significant losses due to unprecedented quarantine measures. The challenge for universities is to diversify funding sources, develop effective approaches to minimize existing and prevent future threats to ensure their financial stabilization (sustainability) in the post-pandemic period. The paper aims to consider financial sustainability of a university (the case of Taras Shevchenko National University of Kyiv) due to COVID-19 using the objective calculative approach on the statistical sample of data for 2011–2020. The tasks for achieving the aim are seen in determining, using regression methods, the number of lost receipts from general and special funds in the short and medium term, which will maintain a constant value of receipts at constant assets. The main idea of the paper is that financial sustainability is considered as a condition, and stabilization is considered as a process towards stability/sustainability.
The modeling approach reveals a fragile list of factors for the future preventing measures of the University to sustain. It is estimated that the University’s top management should consider financial strategy in dollar terms only. The challenge is that funding in hryvnia seems to be quite increasing and linear, but indeed, funding of the University is non-linear and has a quite intensive downward trend. Thus, for the financial sustainability strategy, this fact should be crucial.
The results indicate the need for a significant increase in university funding to mitigate the impact of macroeconomic instability due to various crises, including the COVID-19 pandemic.

Acknowledgment
The study is carried out under the grant funded from the National Research Fund of Ukraine within the competition Science for Human Security and Society, topic 2020.01/0265.

The development of universities in Ukraine requires explicit proposals for the financial component under the hybrid forms of management. A hybrid form is created by combining functional and product divisions, i.e. university staff are required to work on many projects, study programs, and report to multiple managers under a hybrid organizational structure, but not only to the chief of department and the vertical managers over them. The development of universities as public state institutions or as public institutions with the prevailing private financing requires a detailed examination and justification of the possible concourse ways. The study aims to present the theoretical analysis of the hybridization of financing in Ukraine, its ways, abilities, and benefits. This paper presents the findings of a systematic review of the academic literature, as the extant literature has seldom explained what hybridity signifies when it occurs and how it is shown, nothing to say about the practical case, especially in counties like Ukraine. The paper suggested a fine-grained understanding of what constitutes the hybrid nature of financing for a Ukrainian university. Practical use of hybridization of financing in university allows creating a reliable institutional framework for the development of financial autonomy, which is confirmed by analysis of the six largest universities in Ukraine in 2010–2020. Accordingly, this study suggests ways forward by revealing questions toward a better understanding of the hybridization in the higher education of Ukraine.

Acknowledgment
This paper is done in the framework of the grant project “Financial stabilization of classical universities in the context of the global consequences of the COVID-19 pandemic” funded by the National Research Foundation of Ukraine “Science for Human Security and Society” (2020-2021).

To improve the marketing activity and brand management and justify the most effective marketing decisions, organizations should implement different information technologies, mathematical methods and models into the marketing decision support system (MDSS). The goal of this paper is to form an architecture of an MDSS, the model base of which is developed on Data Science tools, in particular regression analysis and machine learning methods. The proposed MDSS is a multi-agent information system comprising nine intellectual agents (market environment monitoring, data processing, marketing mix modeling, price policy support, portfolio management, strategic analysis, forecasting, customer segmentation, and customer classification). The functionality of these agents is realized through Data Science, which allows for the optimization of marketing activities (e.g., an effective brand management strategy and its elements (portfolio strategy, price policy, and media strategy) or solving the problems of attracting new and retaining current customers with the maximal return on marketing investments). The MDSS analyzes the marketing environment, media activity, and business indicators by constructing different models and forecasting various combinations of marketing factors to select the best one. The joint work of MDSS agents provides decision-makers with interactive reports. The research findings offer a scientific basis for making effective marketing decisions based on data, and the proposed MDSS can become part of an intelligent system for planning marketing activities.

The process of world globalization, labor, and academic mobility, the visa-free regime with the EU countries have caused a significant revival of migration processes in Ukraine. However, there is still the research gap in the most informative, and, at the same time, accurate method of the assessment and forecasting of the migration flows. Thus, the object of research is migration processes (mostly emphasizing the emigration flows). The motives, causes of emigration processes, and their relationship with the economic state were analyzed. The impact factors of external labor migration on the economy of the host countries were revealed, particularly the negative and positive impacts of emigration on the socio-economic situation in Ukraine and the migration attitude of Ukrainians were assessed.
The main result of study is further development of the econometric model for forecasting the number of emigrants from Ukraine to other countries in the nearest future. The model considers the factors of minimum wage lavel in Ukraine, the number of open vacancies in the countries of Eastern Europe, and the level of competition for jobs. According to the results of forecasting based on Maple computer algebra system and Microsoft Power BI analytical platform, by the end of 2019, the number of emigrants from Ukraine supposed to be the largest in the last four years and to reach the estimates in the range from 2,444 to 2,550 million people, which may indicate a new third wave of emigration processes.

The difference in the GDP levels is crucial for the macroeconomic forecasting to develop adequate and supportive fiscal and monetary policies. Most mismeasurements under current geoeconomics challenges can be explained by the difficulty in predicting recessions and the overestimation of the economy’s potential capacity. The research aims to consider the GDP gap’s effectiveness for the possible forecasting of the monetary policy, particularly the central bank’s interest rate. The study uses quantitative methods, particularly VAR modeling. The VAR model is chosen as a proven useful tool for describing the dynamic behavior of economic time series and forecasting. The data sample is chosen as Eurozone, the United States, and Japan. The similarity is detected on output gaps implementation in the considered states; however, the variety in the responses to the financial crisis is revealed. This difference is due to the different sensitivity of economies on the impact of monetary instruments. In particular, the Japanese economy has a relatively low level of sensitivity to changes in monetary instruments. In terms of the reactions of central banks to the current economic crisis caused by COVID-19, then due to the global lockdown and the incredible decline in economic activity, almost all countries are in a situation of negative GDP gap according the paper’s approach. However, the measures to mitigate it will vary in different states.

Acknowledgment
The paper is done in the framework of scientific faculty research 16КF040-04 “Steady-state security assessment: a new framework for analysis” (2016–2021), Taras Shevchenko National University of Kyiv (Ukraine).