Abstract
In the current conditions of capital market liberalization, developing countries achieve a faster economic growth rate by actively attracting various types of foreign investment. The steady rise in the volume of foreign investment into the country could be achieved only due to its high investment potential.Therefore, this study aims to develop the methodology for determining the dynamic changes in the country’s investment potential, and its relevant medium-term indicators identify the degree of informational technology influence on Ukraine’s investment potential. It is essential to define the position of Ukraine in the global context in terms of the level of information technologies as the catalyst for investment attractiveness.The relevant indicators defining Ukraine’s investment potential were forecasted using the Brown-Meyer exponential smoothing model. To calculate the integral indicator of the investment potential, the Hurst exponent was applied. Kohonen self-organizing maps were used to group the countries according to their informational technology parameters.Ukraine’s investment potential was found to decrease since 2019 and is equal to 0.6493 units in 2020 and 0.6407 units in 2021 due to the decline of the indicators describing the human capital, infrastructure, technological development, and socio-economic conditions. Technology has a significant influence on Ukraine’s investment potential. Its impact is rising each year from 1.70% to 5.17% and 13.04% between 2019 and 2021, respectively. According to the level of technology, Ukraine is in the group with Spain, Romania, and Poland since 2017.The decreasing investment potential forecast and the positive influence of technology level on it bring the opportunity to form the priority areas for expansion of investment potential based on the adaptation of world instruments to implement the investment policy within national economic conditions.
Highlights
Socio-economic conditions and infrastruc- 2) calculating the forecasted level of the time seture ensure the formation of initial standards for ries one step further based on the model built developing the investment potential of the state
It was proposed to choose the global index of attractiveness of foreign direct investment, as such an indicator, and the factor attributes of the regression model will be 25 relevant indicators related to the socio-economic conditions, infrastructure, science and education, environment and human health, and technology
The analysis of retrospective data in tors of the input information base by the relative the context of the indicator of medium and high- method; 2) weighting of indicators estimating intech industry indicates the description of this vestment potential of the country by the method data set with the second degree polynomial with of relative dispersion; 3) determination of integral the branches down, i.e., this indicator tends to in- indicators in the section of each group by the arithcrease to a certain turning point 56.22% of the av- metic mean method; 4) construction of nonlinear erage level, after which it decreases over time
Summary
Socio-economic conditions and infrastruc- 2) calculating the forecasted level of the time seture ensure the formation of initial standards for ries one step further based on the model built developing the investment potential of the state.
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