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Factorial analysis of investment appeal of the regions

Shramko O.G. Graduate Student, the Department of National and Regional Economy, the Russian Economic University named after G.V. Plekhanov ( )

Journal: Regional Economics: Theory and Pactice, #4, 2014

In the article the condition of sectors of the national economy influencing creation of the favorable investment environment is analyzed. The assessment of influence of economic factors depending on level of economic development of the region is made. The conclusion is drawn on need of development of real sector of economy, in particular the construction sphere, for increase of regional investment appeal.

Assessment of human capital in gross regional product

Shramko O.G. Plekhanov Russian University of Economics, Kolomna, Moscow Region, Russian Federation ( )

Journal: Regional Economics: Theory and Pactice, #20, 2014

This article is dedicated to an assessment of human capital to determine the priority in the innovation economy. Human capital gets more and more important for social and economic development of regions. Considering that many influencing factors are interdependent and statistically difficult to estimate, the author used a method of making of neural networks. As well, the author analyzed the influence of investment on the level of technological development of states. The article notes the importance of education, including an economic one, for creation of favorable business environment.

Using the neural network method to forecast investment efficiency

Khrustalev E.Yu. Central Economics and Mathematics Institute, RAS, Moscow, Russian Federation ( )

Shramko O.G. District Inspectorate of Federal Tax Service No. 7, Kolomna, Moscow Oblast, Russian Federation ( )

Journal: Economic Analysis: Theory and Practice, #8, 2017

Subject The article is dedicated to identifying the areas of investment in the economy of subjects of the Russian Federation.
Objectives The purpose of the study is to develop new comprehensive and accurate tools to assess the potential of regional economic structure to determine the areas of investment.
Methods The proposed methodology and tools for its implementation rest on integrated use of the neural network method as applied to the region's economy.
Results For the purpose of integrated evaluation of investment efficiency, we developed a method that helps obtain quite accurate figures of investment policy efficiency in respect of each subject of the Russian Federation, using a limited number of initial indicators of economic activity in the region. This approach enables to determine the most appropriate areas of investing for socio-economic development of regions, to smooth the spatial polarization that currently tends to increase.
Conclusions and Relevance Our methodological approach makes it possible to assess the expediency of clustering the constituent entities of the Russian Federation and using the neural network modeling to perfect the State investment policy.

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