Multidimensional approach in analyzing the indicators of development of small and medium-sized enterprises in the Samara region
Abstract. The article presents the results of the study of business indicators based on the Samara region data. The problem of distributing public investment in local entrepreneurship requires deep scientific justification, which is especially important in unstable economic periods. The scientific novelty of this research consists of applying a multidimensional approach to identify features in the field of entrepreneurship in the Samara region. The practical significance is the results of applying multidimensional analysis methods increase the efficiency of forming the entrepreneurship financing model in the Samara Region. The purpose for the study is to form integrated indicators as a tool for developing a model of public financing of entrepreneur-ship in the Samara Region, to study the economic activity of the region in its urban districts, to conduct comparative dynamics. The object of the study is the economic activity of entrepreneurship in the Samara Region and the behavior of public expenditures associated with entrepreneurship under study. The subject of the study is the factors increasing efficiency of entrepreneurship financing and increasing entrepreneurial activity in the region. The need forsupportingentrepreneurial activity requires serious scientific justification, therefore it is important to expand a wide class of economic methods with multidimensional statistical ones. These methods allow for analysis of all possible groups of indicators in a complex. The scale of the problems necessarily leads to multidimensional approaches. The canonical analysis tools suggest using integral indicators, which are presented as a linear combination of all variables used. With the help of integral indicators, it is possible to visualize multidimensional data, which contributes to a more in-depth analysis as well.
Keywords: canonical analysis, canonical correlation coefficient, Bartlett criterion, latent factor, integral indicator, entrepreneurial activity.
Highlights:
- using canonical and factor analysis, integral indicators are formed, which are presented as a linear combination of all the studied variables;
- the result for using canonical analysis is an assessment of the integral relationship between groups of indicators as well, the degree of influence of each variable on the integral indicator is simultaneously revealed;
- integral factors have been formed.
Alia Yu. Trusova - Samara National Research University named after Academician S.P. Korolev, Samara, Russia