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The paper presents results of our research focused on analyzing factors of social activity of the population in the border regions of Russia. The research was conducted in six regions using a questionnaire survey (n=2,400). At the first stage of processing our research results, the typology of respondents according to the level of social activity was built using a two-stage cluster analysis. And two subgroups of respondents with high social activity and low social activity are identified and included into typology. At the second stage, a regression model (binary logistic regression, direct step-by-step method) of sufficiently high quality was built. It allowed to identify the factors of social activity of the population and correctly predict the level of social activity based on the severity of each factor. The factors of social activity based on regression analysis include: (1) in which region a respondent lives, (2) selfassessment of social activity, (3) confidence in some social institutions, (4) attitudes towards non-profit organizations’ activities and other socially active people.

proceedings of the international conference on sustainable development of cross-border regions: economic, social and security challenges (icsdcbr 2019)

Factors of social activity of the population of the Russian border regions