Year: 2023 | Month: May | Volume 68 | Special Issue

Neural Networks as a Means to Study the Factors Having Influence on Adjusted Net Savings

Yuliia Shevchenko
DOI:10.46852/0424-2513.2s.2023.5

Abstract:

The purpose of the study is to prove the existence of a relationship between the inflow of foreign direct investment, inflation and the level of income from taxation on adjusted net savings. The researchers used a combination of regression analysis and analogy with the human brain in terms of information intake and processing as well as any factors of biological nature. During the study, the author applied both general scientific and special methods: scientific abstraction, analysis and synthesis, historical and logical method, systematic approach, method of theoretical generalization and comparison. They used methods of regression analysis at the first stage of the study and the method of neural networks at the second stage to build an input-output model of investment in a particular country. They compared obtained results with each other and formulated a model of the possible impact of investment inflows to countries by transnational corporations. The results of the study confirm that the national and foreign investment policies of the host countries transform the role of investment in economic development while improving the standard of living in the countries studied. The author proved that the higher the tax burden in a country, the more the level of adjusted net savings changes.

Highlights

  • The article is devoted to the main problems of transformation of the investment behaviour of transnational corporations under the influence of the sustainable development concept and the allocation of adjusted net savings as one of the most influential factors of changes in the attraction and accumulation of investments.




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