Microcredit as a source of future micro and small entrepreneurs’ growth
А comparative analysis of the state of small business in Russia and the EU countries was carried out. Particular attention was paid to the characteristics on innovation activity of small business in Russia. Based on multivariate statistical methods, approach was implemented for the construction of Russian regions rating by the level of development of small businesses. The relationship between general level of development of small entrepreneurship and its innovation activities was estimated.
This article proposes some analytical and methodological solutions to study the dynamics of retail business development, based on the results of business tendencies surveys. The following business conditions indicators were developed and tested: Retail Market Indicator (RMI) and Retail Business Potential Indicator (RBPI). The proposed indicators are aimed at quickly identifying current tendencies in the retail business, which, together with the quantitative parameters of the market, increase the scale of representation of the actual and expected phase of economic development of trade and the associated consumer market. The technique was tested to measure the business conditions of Russian organizations in the retail business, over the period 2005-2018. In this study, it was shown that RMI and RBPI are aggregated characteristics of business conditions that can warn about turning points of the business cycle. In addition, based on the decomposition of their dynamics, a tracer of cyclical profiles of indicators, which increases the visualization of industry tendencies, was built and the development of entrepreneurship at different stages of the business cycle was analysed. The results of this study show as the proposed methodology and statistical tools can give a significant contribution to the improvement of the existing techniques on industrial processes’ monitoring.
The article estimates Trends and factors of small business development in Russiawere analyzed in the article. By means of multivariate statistical procedures the RF regions were classified by groups, which differ in common features and problems in the development of small entrepreneurship. The results of the study show that the program to support and stimulate small business should take into account the existing cluster structure and the revealed factors.
The analysis of region differentiation of microentrepreneurship development and indexes of judicial statistics based on the current data of statistical recording are given in the article. The capabilities of cluster analysis for revelation of typological groups of the Russian region depending on the level of entrepreneurial activities and the results of law enforcement practice are represented.