New indicators of the level of social dissatisfaction in the planning of social-economic development of the region

Abstract

The article is devoted to the urgent problem related to the development of the region, namely, the creation of tools for the assessment of the level of social dissatisfaction in the region. The assessment of the level of social dissatisfaction is one of the most important tasks of state organizations in political and social spheres. The article considers the concept of "social dissatisfaction" and associated terms, it substantiates the author's position on the content of this notion. The authors have investigated the existing national and international approaches to the assessing of social tensions of the population. The system of socio-economic development indicators doesn't contain indicators allowing to assess the level of social dissatisfaction without the results of public polls. We propose two models in the article. In the first model, the assessment is basedon the single factor (the index of social dissatisfaction based on income differentiation). The second complex model takes into account a number of factors (the index of social dissatisfaction based on complex assessment). For the calculation of the proposed indicators, the authors use the statistical data of the Federal State Statistics Service. The methodological research tools include the mathematical methods of statistical data processing. We have evaluated the methodological tools on the example of the Republic of Ingushetia. The assessment has showed the dynamics of a decline in the level of social-economic dissatisfaction in the region (1995-2011). The models of social dissatisfaction constitute a tool for rapid and up-to-date assessment of socio-economic system sustainability, and of the willingness of the population to participate in protests. The application of the results of this study is the support of decision-making regions and state structures in working out plans of the socio-economic development of the regions. © Dolomatov M. Yu., Martynov V. V., Zhuravleva N. A., Zakieva E. Sh. Text. 2017.