Академическое издательство «Гео»

Keywords: influence factors, statistical relationships, anomalous regions, stochastic modeling, gender differences.


Socio-cultural and economic factors for territorial variability
in life expectancy in the Russian Federation

A.V. Ignatov, P.L. Popov, A.A. Tсherenev

V.B. Sochava Institute of Geography, Siberian Branch, Russian Academy of Sciences, Irkutsk,
664033, ul. Ulan-Batorskaya, 1, Russia, ignatov@irigs.irk.ru, plp@irigs.irk.ru, tcherenev@irigs.irk.ru

The relations of life expectancy of people to different socio-economic characteristics in 82 subjects of the Russian Federation are investigated. All controlled parameters of the regions are divided into eight thematic groups. Each of them describes a corresponding complex factor: “Economy”, “Offenses”, “Education and Science”, etc. The dependencies of life expectancy on various factors and parameters describing them for men and women are analyzed separately. It has been established that the territorial variability of life expectancy is statistically more strongly influenced by factors leading to death or significant health deterioration, mainly at a young age. Such factors are crimes against the person, infectious and parasitic diseases and abortions. The most significant predictor of life expectancy in both men and women is the infliction of intentional grievous bodily harm. Other parameters according to the significance of influence are ranked in men and women in different sequences. This fact suggests a possible difference in the mechanisms that form the territorial variability in life expectancy for different genders. Regions characterized by a higher level of religiosity and quality of school education (especially in mathematics) also have a statistically significant deviation of life expectancy toward its increase. It is found that the economic characteristics of the regions, the characteristics of nutrition, alcohol consumption and demography are, to a lesser degree, associated with territorial variability in life expectancy. However, some tendency of positive influence of the level of economic development on life expectancy can be noted. Regions in which the values of a number of parameters essentially drop out of the all-Russian patterns are identified.

Keywords: influence factors, statistical relationships, anomalous regions, stochastic modeling, gender differences.

DOI: 10.21782/GiPR0206-1619-2019-1(118-126)