The transition to sustainable development of mining regions depends on the size and effectiveness of environmental investments. This study examines the impact of investments and current costs of air protection on the amount of air emissions from stationary sources. We used data on investments in atmospheric air protection, current costs of air protection, and amounts of air emission in 12 mining regions of Russia. The impact of investment and emission costs was simulated using standard pairwise regression equations and the Almon distributed lag model. The statistical insignificance of the models has been established, both in terms of the form of coupling equation and the significance of most coefficients with explanatory variables. The distributed lag model using data on investments in air protection over five years is also statistically insignificant. The paper also discusses the impact of investments and current costs on the specific emission amount per 1 ruble of the gross regional product. The model of pairwise linear regression and other possible forms of the coupling equation in this case are statistically insignificant. The study found that investments and current costs do not affect emissions from stationary sources. This suggests a lack of investments in the air protection and a low efficiency of their use.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

The article is devoted to the analysis of the dynamics of a number of development indicators of Kemerovo region, which reflect the quality of life of the population, for the period from 1999 to 2016, as well as their dependence on the state of the regional economy. The index of the volume of the gross regional product was chosen as a basic economic indicator. The correlation analysis has revealed a high degree of tightness of the direct linear connection between the growth rates of the gross regional product, on the one hand, and the positive environmental changes. The reverse linear dependence is fixed with the indicators of the level of offenses and emissions into the atmosphere. To determine the degree of impact of the economic downturn on the quality of life of the population, the authors' methodology for assessing “the subsidence” of social indicators during the crisis period was used. Its application in comparison with the all-Russian data made it possible to draw a number of conclusions: in Kemerovo region, the problems of unemployment and negative environmental trends are more acute than in the whole country.

Improving public health and increasing life expectancy is the priority policy of many developed countries. The current model of Russian regional economic development aimed at exploring natural resources creates multiple negative consequences for socioeconomic development and public health. The aim of this research is to analyze the condition and dynamics of populational health in Kemerovo Oblast, to find correlation between health and socioeconomic development indicators. In order to do this, we have applied comparative analysis, synthesis, statistical and correlation analysis. We have studied demographical indicators of populational health in Kemerovo Oblast in 2002-2017. We discovered the main problems of public health in the regions: low life expectancy of men (45-64 years); high infant mortality rate in countryside areas; high suicide rate among employable citizens. The correlation analysis revealed a stable correlation between health indicators and gross regional product, average per capita income. Social development and health indicators demonstrate a moderate positive (related to birth rate) and moderate negative (related to crime rate) correlation.

The article is devoted to the consideration of the methodological framework for assessing the differences in the living level of the population in the regions. According to the authors' study, the existing regional classifications for the most part do not presuppose a comparative analysis of the situation in the territories at the federal level and a dynamic assessment of its change. This circumstance prompted the authors on the idea of creating their own unique methodology that makes it possible to compare the situation in the regions with the federal level in the static and dynamic sections. It also allowed forming the corresponding two-dimensional typology of regions, which enables to specify the situation in the territory at the federal level, depending on how its indicators change in absolute terms (statics) and relative estimates (dynamics). This method was tried out using the example of the data on the development of the regions of the Siberian Federal District for the period 2003-2013 (13 years). The results of this study let us conclude that the majority of the SFD regions have a marked lag in living level from the other subjects of the Russian Federation within the framework of both analytical sections (in absolute and relative terms). In some regions, the situation varies considerably.