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The purpose of research. The increasing rate of Russian economy digitalization has ambiguous proportions by industries and regions. Russian regions are characterized by uneven levels of Internet adoption, as well as organizations applying computer networks, servers and electronic documentation systems. This creates territorial differentiation of opportunities for organizations to use digital services and online platforms created by commercial banks to attract and service loans.Overview and analysis of literary sources have led to the conclusion that quantitative assessment of interplay between digitalization of organizations and their credit activity has not been sufficiently developed at the regional level. The purpose of this study is to develop statistical indexes to assess the impact of digitalization of organizations on their credit activity by Russian regions, and to analyze interdependence of suggested indexes to find out the patterns of such an impact. Methods. The source data array is a set of values of statistical indexes, proposed for the purposes of the study, published by Rosstat. This array is processed by imputation of missing values knn – k nearest neighbors to eliminate missing part of the original data. The tightness of statistical relationship between the analyzed variables was assessed by calculating the paired correlation coefficients. The average and median values of the analyzed effective variables were calculated across several years. The regional distribution by clusters per effective variable values was made using the hierarchical cluster analysis. The impact of factor variables on the effective variables was assessed using the panel regression modelling. Results. Based on the system of regional statistics indexes formed by the author, the territorial peculiarities of the dependence of credit capacity on the factors of digitalization of organizations in groups of Russian regions were analyzed, and the parameters of the “response” of credit capacity indexes to changes in individual technological components of digitalization of organizations in regional clusters were obtained. Conclusion. It was concluded that the results of the study could be used to develop business lending programs for commercial banks and determine the priorities of regional digital development programs by government bodies.
I. K. Zarov (Mon,) studied this question.