The application of principal component analysis method in determining the key perfomance indicators for estimation of sectoral and regional risks of SMEs

Authors

V. V. Zabolotskaya
Kuban State University, Russian Federation
G. I. Fochan
Kuban State University, Russian Federation

Abstract

In the article by application of the method of principal component analysis presented a study for reducing the dimension number of quantity of the indicators to estimate the sectoral and regional particularities in the implementation of financial and economic condition of small and medium-sized enterprises, which allowed to determine linearly independent and mathematically informative indicators (KPI).

Keywords

financial and economic conditions estimation, small and medium enterprises, the principal component analysis, correlation analysis, key performance indicators, the covariance matrix, sectoral and regional risks

Authors Info

V. V. Zabolotskaya

Ph.D. in Economics, Associate Professor, Associate Professor of Department of World Economics and Management at Kuban State University

Email: zvikky@hotmail.com

G. I. Fochan

Ph.D. in Economics, Associate Professor, Department of Theoretical Economics at Kuban State University

Email: foshan@mail.ru

References

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Article Details

Issue

2016 · No. 2 (42)

Section

Regional Economy

Publication History

Published 2016-06-05

How to Cite

[1]
Zabolotskaya V.V., Fochan G.I. The application of principal component analysis method in determining the key perfomance indicators for estimation of sectoral and regional risks of SMEs // Economics: Theory and Practice. 2016. No 2 (42). С. 8–13. URL: https://etip.kubsu.ru/article/view/273

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Copyright (c) 2016 V. V. Zabolotskaya, G. I. Fochan

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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