The article presents the results of analysis of dynamics and structure of mortality of malignant neoplasms of population of the Republic of Bashkortostan in 2002-2014. The results were calculated according data from table C51 "The distribution of the deceased by gender, age groups and causes of death" of Bashkortostan. To calculate statistical indices parametric, non-parametric and time series techniques were applied. On the whole, the dynamics of indices is comparable with national one i.e. insignificant decreasing of mortality is observed to 2014. The analysis testifies that during all analyzed both the "raw" and standardized mortality indices per 100 000 in average were higher in Russia than in the Republic ofBashkortostan. However, in the Republic of Bashkortostan, both in males and females increasing of mortality of malignant neoplasms of many localizations is detected. According prognosis estimates, decreasing of mortality of neoplasms in population of the Republic of Bashkortostan is possible.
The aim of the study was to assess the factors affecting total mortality of the population of the Republic of Bashkortostan (RB). Methods. The study was conducted using the method of regression analysis according to panel data. The official statistical materials of the Territorial Body of the Federal State Statistics Service for the Republic of Bashkortostan (Table C 51; databases on demography and statistical yearbooks "Social and Economic Situation of Municipal Districts and Urban Districts of the Republic"; annual statistical reports in the form of "2TP - Air "); Rosstat were used as sources of secondary data. Data from 54 municipalities and 21 cities of the Republic of Bashkortostan from 2002 to 2017 were used. Altogether, 17 indicators were used for data analysis. Results. On the basis of regression analysis of panel data, risk factors for total mortality were identified: primary adult disability, number of pensioners, unemployment, crimes. It is noted that a decrease in the mortality rate is affected by an improvement in the quality of medical services, an increase in the number of enterprises, and population density. The effect of these factors varies for men and women. Conclusion. The results of the assessment allow us to identify areas of activity to reduce mortality, as well as to determine the priorities of socioeconomic policy on the regional level.
Introduction. The study deals with natural movement of the population in the Republic of Bashkortostan at the regional and municipal levels. The aim of the study is to assess the factors affecting the natural movement of the population of the Republic of Bashkortostan (RB). Material and methods. The information base was the official statistical materials of the Territorial Body of the Federal State Statistics Service for the Republic of Bashkortostan: collections “Demographic Processes in the Republic of Bashkortostan”, “Socio-Economic Situation of Municipal Areas and Urban Districts of the Republic of Bashkortostan”; Rosstat data: collections “Regions of Russia. Socio-economic indices”. We considered data consisting of observations on rural municipalities in RB 54 municipal districts and 21 cities (urban communities and urban settleme;ts), tracked in dynamics for 16 years (2002-2017). At the first stage, municipalities were divided into five groups using cluster analysis based on natural growth indices. Then, to study the influence of medico-demographic, socio-infrastructural, socio-economic factors on the indices of the population’s natural movement, multivariate regression analysis was used. Due to the panel nature of the data, models with fixed individual and time effects were used. Results. In the studied groups of municipalities, formed using cluster analysis, the significance of individual factors in terms of their influence on the performance indicator is significantly different, which necessitates taking this spatial heterogeneity into account when developing socio-economic policy measures. To confirm the existence of a relationship between the rate of natural population growth and per capita money income, the general rate of marriages, divorces, the proportion of women of fertile age, unemployment, and the ratio of the population over working age, we based the constructed regression models with fixed effects on panel data Conclusion. Analysis of the results obtained and comparing them with the literature data allow us to determine the priorities of socio-economic, demographic policy at the regional level.
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