The article proposes scientific and methodological provisions regarding the evaluation of the effectiveness of the health care system of Ukraine in the conditions of accelerated development of medical innovative technologies. This model is based on the application of neural network modeling tools. The application of the developed model of the evaluation of the effectiveness of the health care system makes it possible to identify the state of public financing of health care and the research and development, to cover a large amount of data and to carry out a comparative analysis of national health policy in terms of the developed countries of the world. During the formation of the neural network model, the relationship between the different factors and the level of GDP is established. For the purposes of the present study, the results of the Ukraine’s social, economic, innovation policy for 2000-2017 have been used as the most predictable element of available data on impact on GDP growth. The proposed methodological provisions make it possible to predict the best option for the development of the health care system and the research and development work in Ukraine, facilitate the possibility of making informed decisions regarding the health policy, optimize the management decision-making regarding the future directions of the research and development work. Public healthcare financing and research and development financing have the biggest influence over the GDP growth. The increase of expenditures of the state budget on public healthcare and research and development is important for socio-economic and innovative growth of Ukraine. The main provisions can be adopted by an executive bodies of the government of Ukraine, local and regional authorities of the national economy. The analysis is the basis for formation of methodological approaches to evaluation of the effectiveness of health care system and other spheres of economic activity and creation of strategies and programs for development of health care system and innovative activity of Ukraine at different hierarchical levels. 

evaluation, effectiveness, neural model, healthcare, public spending, policy 

In the current conditions of economic development, it is important to pay attention to the study of the main types of risks, effective methods of evaluation, monitoring, analysis of banking risks. One of the main approaches to quantitatively assessing the creditworthiness of borrowers is credit scoring. The objective of credit scoring is to optimize management decisions regarding the possibility of providing bank loans. In the article, the scientific and methodological provisions concerning the formation of a regression model for assessing bank risks in the process of granting loans to borrowers has been proposed. The proposed model is based on the use of logistic regression tools, discriminant analysis with the use of expert evaluation. During the formation of a regression model, the relationship between risk factors and probable magnitude of loan risk has been established. In the course of calculations, the coefficient of the individual's solvency has been calculated. Direct computer data preparation, including the calculation of the indicators selected in the process of discriminant analysis, has been carried out in the Excel package environment, followed by their import into the STATISTICA package for analysis in the “Logistic regression” sub-module of the “Nonlinear evaluation” module. The adequacy of the constructed model has been determined using the Macfaden's likelihood ratio index. The calculated value of the Macfaden's likelihood ratio index indicates the adequacy of the constructed model. The ability to issue loans to new clients has been evaluated using a regression model. The conducted calculations show the possibility of granting a loan exclusively to the second and third clients. The offered method allows to conduct assessment of client's solvency and risk prevention at different stages of lending, facilitates the possibility to independently make informed decisions on credit servicing of clients and management of a loan portfolio, optimization of management decisions in banks. In order for a loan-based model to continue to perform its functions, it must be periodically adjusted. 

credit risk, regression model, discriminant analysis, banks, credit, credit scoring, risk, expert assessment 

Infrastructure provision is one of the most important factors in the socio-economic development of mountain areas. The level of security and the state of the infrastructure have a significant impact on the development of entrepreneurship and the quality of life of people in mountain regions. All states that have mountain regions carry out state policy of the development of mountain territories or use legally established approaches to solving certain problems. The infrastructure of the mountain regions is problematic in many countries. Different tools and mechanisms are used in order to address this issue, but in virtually all countries there is an understanding that improving the infrastructure of these territories is the heart of the socio-economic growth of mountain regions. It is also indisputable that, due to the inequality of economic potential, mountain regions are not able to fully ensure self-sustainability and self-financing, and therefore financially supported by the state. The article analyzes the trends and the state of the infrastructure of mountain areas of Lviv region (Starosambirsky, Skolivsky and Turkivsky). The results of the analysis showed an increase in the provision of the population of these territories with the main infrastructure components. In particular, the level of equipment of the housing stock by the water supply system in the years 2000-2016 has increased: in the Skolivsky district by 28.2%, in Starosambirsky - by 27.8% and Turkivsky - by 13.5%. Significant improvement of the housing stock in providing water supply was held in the rural areas of these regions (by 26.1%, by 32.4% and by 14.7% respectively). At the same time, the current level of infrastructure maintenance of mountain areas in comparison with the average oblast indicator is low. This is due to the fact that after prolonged exploitation (over 50 years), a significant part of the water supply networks and the damaged and outdated energy-intensive equipment require replacement. Almost all sewage treatment facilities had been built by 1990, as of today they require reconstruction, and in some settlements - the construction of new ones. The direction of infrastructure development in mountain areas is to increase the investment attractiveness of these regions. The first step in this should be the implementation of a thorough and adequate program for the development of communal infrastructure in a transboundary region and mountainous areas. Within the framework of this program, it is necessary to resolve the issue of the institutional and financial environment for the infrastructure development of these regions. 

infrastructure, mountain territories, water supply, housing stock 

In the article, the scientific and methodological provisions for the formation of matrix of innovation potential and motivation regarding the reacting to a competitive situation that allows entities to implement their choice of development strategy have been proposed. An own interpretation of the concepts of “innovative potential” and “motivation of economic entities regarding the reacting to a competitive situation” has been highlighted. This matrix is formed on the basis of computing of the integral indicator of the innovative potential of economic entities and the integrated index of motivation regarding the reacting to a competitive situation. The matrix consists of four segments and represents such development strategies of economic entity during creation of innovations as active (adoption / development of innovations, active operation at the market), active-passive (active operation at the market or implementation of innovation, change in its scale), passive-active (focusing on the creation and implementation of innovation or ignoring innovation), and passive (low motivation to innovation, slow growth of innovation potential, long time of innovations introduction). In the article, the methodology for calculating the integral indicator of innovation potential for economic entities has been presented. It includes such components as economic, organizational-technical, financial-investment and management components. It also reflects the methodology for calculating the integral index of motivation regarding the reacting to a competitive situation. It includes such components as the growth rate of implemented innovative products, the threat that innovation activity represents to a traditional type of activity, the level of interconnection between the innovation and the existing type of activity and the coefficient of competitors’ reaction as a result of the introduction of innovation. Recommendations to economic entities regarding their behavior in case of choosing the appropriate development strategy have been presented. The use of the offered matrix will give an opportunity to improve quality of administrative decisions and efficiency of innovative potential management by the economic entities in the process of innovative management. 

matrix, strategy of development, integral index, innovative potential, competition situation, motivation, innovative activity