This paper deals with the study of the world and European rankings for innovative development. It is emphasized that Ukraine ranks quite low compared to other countries and even its own last year’s results. The dynamics of Ukraine’s position in the Global Innovation Index is presented for the period from 2009 to 2019. The paper focuses on the tendency that innovation activity and the high level of its financial support are concentrated mainly in individual countries and regions. In this regard, the relevance of the determining factors/indicators of the greatest influence and the reasons for the unsatisfactory state of innovation development in Ukraine is substantiated. The purpose of the study is to substantiate and formalize the impact of fiscal policy indicators to ensure innovative development on the overall level of innovative development. In addition, attention is paid to the functional relationship between the level of competitiveness and innovation capacity, a significant positive relationship between the indicators of the country’s innovation capacity and the dynamism of business and financial system, and so on. Methodical tools are methods of correlation and regression analysis. As a result, some hypotheses have been confirmed, not confirmed or partially confirmed. The study empirically confirms and theoretically proves that the percentage of Gross Domestic Expenditure on Research and Development (GERD) in GDP, the share of Gross Domestic Expenditure on Research and Development (GERD) represented by the business sector and the share of Gross Domestic Expenditure on Research and Development (GERD) financed by business, the volume of domestic credit to the private sector and ease of regulation/resolution of insolvency – these indicators have a direct (positive), strong dependence and significance of correlation with the general level of innovative development. Keywords: methods of correlation and regression analysis, financial policy, financial support, financial support, functional dependence, innovative development, innovation index, level of innovation, innovation rating.

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This article generalized modern tendencies and actual peculiarities of health care financing. The key aim of the research is to investigate the dynamics of health care financing as a factor of economic growth based on EU countries analysis. Systematization information sources connected with health care financing and its structure indicate that the EU countries analysis of dynamics of health care financing and its impact on economic growth was conducted fragmentary. This issue is still actual both for scholars and policymakers, especially for Ukraine, based on European trends. Investigation in the article is made according to the following stages: 1) introduction and relevance grounding; 2) literary review and identifying the necessity of research in this scientific area; 3) describing methodology, research methods, and current hypothesis; 4) characteristic of research results and confirming the hypothesis of the positive impact of the health care financing on economic growth; 5) making conclusions. Methodological tools of the research methods were structural and comparative analysis, logical generalization, and scientific abstraction. The methods of cross-country statistical and analytical analysis using the Excel 2010 software package for the sample from 14 EU countries for 2009-2018 (limited number of countries and limited data in 2018 relate to the data availability on open website of the EU statistical office) were applied to analyse the structure of health care financing, in particular financing schemes, main providers, and health care functions. The top countries in health care financing were identified. The methods of empirical analysis using the STATA software package for this data sample were used to confirm the hypothesis about the positive impact of the health care financing on economic growth – the GDP per capita. The nature of the analysed indices distribution was estimated based on results of Shapiro-Wilk test. So, Pearson or Spearman correlation coefficient was chosen. The statistical significance and strength of the relationship between the indicators of total expenditure for health care, and in particular government financing and compulsory contributory health care financing, voluntary health care financing, and household out-of-pocket payment for health care and the change of GDP per capita were assessed through a correlation analysis. The time lags of achievement the most statistical significance by this relationship was also identified. The results of the research show that the impact of health care financing on the change of economic growth is very high in 12 from 14 investigated EU countries (with lags of 1–3 years) and high in 2 from 14 countries (with a lag of 1 year). The character of this relationship for the most countries (9 from 14 countries) is direct (positive), and for 5 countries it is inverse (negative). The results of the research will be useful during future fundamental and practical research connected with health care financing and its modelling, for scholars and government officials to reform the health care system and its financial mechanism.

The study of the relationship between education and business is a very relevant issue when education and business are key factors in developing and uplifting the economy. Education is the foundation for creating a business since the effective activity is impossible without a strong information base. The purpose of this research is a bibliographic review of scientific publications devoted to the relationship between business and education, based on materials indexed by the Scopus, Web of Science, and Mendeley databases using the built-in functions of the Bibliometrix application and the R programming language. The logic of the research is implemented with the help of three stages: at the first stage, an analysis of literary sources related to bibliometric analysis, as well as about business and education, the interdependence of education and business, which were published in the publishing house of MDPI scientific journals with open access, was carried out. Survey and interview methods are the methodological tools of most of the analyzed publications in the open access of the MDPI database. The research is conducted in the R language, using VOSViewer tools for bibliometric analysis. Various qualitative and quantitative methods were used to analyze the relationship between education and business, such as performance analysis, scientific mapping and thematic analysis, structural equation modelling, and Z-score statistics. At the second stage, the main functions of the Bibliometrix package were studied, countries, keywords constructed a three-field plot, and the year of publication of cited references to reflect the proportion of research topics for each country and the freshness of cited articles. Source clustering through Bradford’s Law was also used to identify the best journals for publishing own research and searching for the most relevant scientific information. In addition, the Hirsch and Gini indexes of the selected sample of publications were examined in detail within the second stage. The Hirsch index is a quantitative measure of productivity based on analyzing published publications and citations. The distribution of authorship is estimated using the Gini index. At the third stage, keywords were analyzed, and a table was built with the most frequently used words to decrease the number of keywords mentioned. The conducted comprehensive analysis of scientific publications confirmed the close correlation of paradigms of business and education in the conditions of coopetition in modernity.

The article focuses on the level and dynamics of innovation financing in Azerbaijan and Ukraine compared to the world level and the places of Azerbaijan and Ukraine in the Global Innovation Index and trends in their positioning in the dynamics. The analysis reveals negative dynamics in both countries in this sphere. The innovation financing structure's role as a factor of economic growth and international reproductive relations development is substantiated. The dependence of the country's economic growth level (GDP growth per capita) on the value of expenditures on innovation financed by various sectors of the economy (government, the private non-profit sector, foreign investors and the higher education sector) is studied. The study consists of data for 12 European countries for 2007-2017 (limited calculations in 2017 due to the availability of information on open portals of the World Bank, the EU Statistical Office). At the first stage, the distribution of the relevant indicators was evaluated using the Shapiro-Wilk test. Based on these results the method of calculating the correlation coefficient is chosen: Pearson – for indices that are subject to the ordinary distribution law or Spearman – for indices that are not subject to the ordinary distribution law. A correlation analysis regarding the strength and nature of the relationship between relevant indices and the dynamics of GDP per capita in these countries is performed to identify the duration of time lags, after which this relationship is the most statistically significant. In the second stage, there are three types of regression models for estimating panel data to identify the impact on the economic growth dynamics of innovations financed by different economic sectors: 1) with fixed effects (based on the least-squares method); 2) with random effects (based on the general least squares method (GLS); 3) dynamic model for estimation of Arellano-Bond panel data, which considers time lags (based on the general method of moments (GMM)). In the third stage, using Wald's tests, Breusch-Pagan and Hausman, the adequate model specification is chosen. When choosing a dynamic model of Arellano-Bond, the Sargan test is performed to validate the parameters. The control variables in all three types of models consider net inflows and outflows of foreign investment, inflation (GDP deflator) and labour force participation rate (% of total population ages 15-64). The second and third stages of the study obtained the results as follows. It is empirically confirmed that a 1% increase in the share of government sector-funded R&D expenditures leads to a decrease in annual GDP growth per capita by an average of 0.15% (excluding time), business sector – to the increase by 0.13% with a time lag of 2 years, thanks to foreign sources – to the increase by 0.1% (without time lag); higher education sector – to the decrease by 0.78% (without time lag). It is substantiated that the state should reduce the share of direct investment in innovation. At the same time, it should focus on effective legislation, motivating the business sector and foreign investors to increase investment in research and development to stimulate economic growth in Azerbaijan and Ukraine and the development of international reproductive relations. Keywords business sector, correlation analysis, dynamic model, economic growth, financial regulations, financing structure, foreign sources, GERD, government sector, influence formalization, innovation, regression model, R&D.