BUSINESS INFORM №12-2014

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32

Section: Economic and Mathematical Modeling
UDC 330.322
Kravchenko S. M.
Using the Economic-Mathematical Methods to Study the Prospects for Development of Investment Activity in the Field of Knowledge-Intensive Production (p. 231 - 236)
In the article the algorithm of using correlation and regression analysis to study the factors affecting the development of investment activity in the field of knowledge-intensive productions is introduced. Using the statistics from the State statistics service, a group of indicators of influence on the investment policy in the field of knowledge-intensive productions was allocated. On the basis of correlation analysis the indicators with significant influence on this process were identified. These include: the amount of the commercial production of new types of products, items, the share of organizations involved in innovation, the proportion of the amount of finished scientific and scientific-technical works in the GDP. The constructed model provides, while modifying the input parameters, for exploring of different states of the investment process, occurring in the field of knowledge-intensive productions. According to results of the study, it has been determined that the proportion of the amount of finished scientific and scientific-technical works in the GDP is the factor, which has the most significant influence on the development of knowledge-intensive productions. Therefore, all directions of investment policy in this area should be focused on the improvement of this indicator.
Keywords: investment activity, regression model, the latest technological processes, knowledge-intensive production
Fig.: 11. Tabl.: 1. Formulae: 1. Bibl.: 12.

Kravchenko Serhii M. – Applicant, Research Centre for Industrial Problems of Development of NAS of Ukraine (2 floor 1-a Inzhenernyi Ln., Kharkiv, 61166, Ukraine)
Email: [email protected]

Article is written in Ukrainian
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Reference to this article:
Kravchenko, Serhii M. (2014) “Using the Economic-Mathematical Methods to Study the Prospects for Development of Investment Activity in the Field of Knowledge-Intensive Production.” Business Inform 12:231–236.

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