SHS Web Conf.
Volume 35, 20173rd International Conference on Industrial Engineering (ICIE-2017)
|Number of page(s)||6|
|Section||Sustainable Development of Industrial Enterprises|
|Published online||26 June 2017|
On attracting investment to Russian economy
Department of Business Informatics and Economics and Mathematical Methods, Far Eastern Federal University, Vladivostok, Russia
* Corresponding author: email@example.com
Modern conditions of economic systems development have necessitated more precise directions of investment process for the economic growth to accelerate. The precipitous fall of oil prices that occurred in the second half of 2014 weighed heavily on foreign direct investment flows to oilexporting countries. The problem of attracting investment is one of the key problems of economic development. The aim of this study is to analyze and evaluate the shifts in the structure of investments, the study of the structure of investments to the Russian economy. Structural changes result from differences in the growth rate of the elements forming an economic system. An integral coefficient has been used for evaluation of structural changes. Multiple regression was used to analyze the impact of various factors on the change in structure of investment. The regression coefficients in the model give quantitative assessment of the pace of change in the structure as it depends on a specific factor. The model estimation shows that the variables “share of investments in manufacturing” (positive influence) and “share of investments in the health, physical culture, education” (negative influence) have the largest t-values. Hence, these two factors influence the structural changes in investments most strongly The evaluation and analysis of the structural shifts may lead to conclusions regarding the efficiency of the structure investment and adjustment of the economic policy.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.