The proposed structural and logical scheme for studying the concept of “investment potential” in the context of the national economy provides a comprehensive application of the etymological analysis, structured system analysis, bibliometric and semantic analysis for research purposes. Their implementation allowed considering investment potential as the internal ability of the economy to mobilize and accumulate investment resources (formed at the expense of gross savings, investment expenditures of financial and non-financial corporations, household sectors and national administration), and at the same time a set of opportunities for their rational distribution, redistribution, placement and reproduction, which under the influence of macroeconomic factors (investment climate) determine the investment attractiveness of the state
The analysis of the current state and trends in the development of the IT industry in Ukraine was performed. It demonstrates the following: the expansion of the general penetration of IT technologies into the business processes of organizations, public administration mechanisms and daily life of people; the growing popularity of offshore outsourcing in the IT industry. The barriers that restrain the development of the IT industry in Ukraine were identified, specifically these are: the negative image of the country in the global context, the shortage of highly qualified personnel with extensive knowledge and skills in the IT industry, discrepancy between IT-field graduates and market needs, noncompliance with international legislation on the protection of intellectual property rights, a low share of services for the development of domestic software products, etc.
In order to comprehensively assess the level of information technology development, an interval approach to its assessment was proposed. Thus, the mechanism for evaluating the upper and lower limits of information technology was defined. The first one refers to a specific time measurement (fragmentary assessment) and the second one is based on evaluating the accumulated effect (interval assessment), which is carried out by information technology over a certain period of time. The foundation of the assessment of the information technology development level is the use of an entropy method for calculating weighting coefficients as well as an additive (fragmentary estimation) and multiplicative (interval estimation) methods for convolution of weighted indicators of the study dataset.
To determine the strength and direction of information technology, investment attractiveness and socio-economic development mutual influence on the country, an appropriate scientific and methodological approach based on econometric modeling has been developed. Moreover, the intensity of information technology influence on the development of green economy through the innovation channel has been determined.
The developed methodology for assessing the country investment potential includes the following stages: differentiation of input dataset into five groups of indicators: infrastructure, education and science, ecology and human health, technology, socio-economic conditions; calculation of the integral indicators withing each group by normalization of the input dataset using the relative method, weighting with the method of relative spread and generalization by the arithmetic mean method; building the regression nonlinear five-factor dependency model between the global foreign direct investment country attractiveness index and five integral groups’ indicators in the form of the Cobb-Douglas production function; assessment of the investment potential of the country by adopting the Hearst exponent.
A methodology for determining the dynamic changes in the country’s investment potential and its relevant indicators in the medium term has been developed. In practical application, twenty-five relevant indicators, that describe the country investment potential within the following five groups: socio-economic conditions, education and science, technology, infrastructure, ecology and health, were identified by expert method. The forecast for 2020–2021 of the twenty-five relevant indicators characterizing the country investment potential was implemented using the Brown-Mayer model, which made it possible to take into account the adaptation of economic processes to changes in the internal and external environment.
