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Multivariate Statistical Methods in the Study of the Indicators of Territorial Competitiveness

Author: Yelena M. Kochkina, Yelena V. Radkovskaya and Mikhail V. Drobotun


The article proves the possibility and relevance of applying multivariate statistical methods to study the indicators of territorial competitiveness. It looks at the indicators that are the most important for assessing the competitiveness, such as labour productivity and factors influencing it. The technology of factor analysis is used as a practical illustration allowing authors to construct the final economic-mathematical model, which best suits the original statistical data. The article details the procedure of allocating common factors, the calculated numerical values of which enabled the authors to assess the factors’ impact on the labour productivity. The apparent advantage of the described method is the possibility of correct economic interpretation of the common factors, which results from the procedure of factor rotation. Furthermore, using the methodology of the factor analysis helps avoid the problems linked with the processing of the vast amount of statistical information.

Keywords: competitiveness; dispersion; factor; factor loading; commonality; specificity; correlation; model.

For citation:

Kochkina Ye. M., Radkovskaya Ye. V., Drobotun M. V. Mnogomernye statisticheskie metody v issledovanii pokazateley konkurentosposobnosti territorii [Multivariate Statistical Methods in the Study of the Indicators of Territorial Competitiveness]. Izvestiya Uralskogo gosudarstvennogo ekonomicheskogo universiteta – Journal of the Ural State University of Economics, 2016, no. 2 (64), pp. 87–98.