ANALYSIS OF MORBIDITY RATE OF THE POPULATION AT THE ARCTIC TERRITORIES ON THE EXTENT OF COMMERCIAL DEVELOPMENT AND ECOLOGICAL STATE ON THE EXAMPLE OF KRASNOYARSK KRAI
URI (for links/citations):https://sgemworld.at/ssgemlib/spip.php?article4030
Институт экономики, управления и природопользования
Кафедра делового иностранного языка
Journal Name:4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017. Conference Proceedings
Journal Quartile in Web of Science:без квартиля
Bibliographic Citation:Semenova, A. ANALYSIS OF MORBIDITY RATE OF THE POPULATION AT THE ARCTIC TERRITORIES ON THE EXTENT OF COMMERCIAL DEVELOPMENT AND ECOLOGICAL STATE ON THE EXAMPLE OF KRASNOYARSK KRAI [Текст] / A. Semenova, I. Popelnickaya, E. Buharova, V. Razumovskaya, A. Buharov // 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017. Conference Proceedings: Health Policy and Services. — 2017. — Т. 3 (№ 1). — С. 417-422
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.
The traditional natural resource management of the Arctic regions increases the risks of ecological safety of the northern territories and indigenous peoples. The goal of the research is to determine the impact of inefficient nature management on the population of Arctic zone by the example of Krasnoyarsk Krai northern areas. A panel data analysis has been selected as the research methodology which integrates the possibilities for both time-series analysis and spatial observations allowing considering individual heterogeneity of observation units and the opportunity to investigate the dynamics pattern of the individual characteristics of statistical units, to design and test more complicated behavioral models and avoid bias in data aggregation. A unified initial sampling was taken for the research which observation units are the city districts and municipalities of the Arctic zone of Krasnoyarsk Krai for the period 2007 to 2014 with a possibility to replenish panel data. The dependent variable for designing multiple linear regressions for the selected panel data is based on the population morbidity indicator; the variables describing economic and social spheres and the parameters describing the level of the ecological state of the investigated areas were used as endogenous factors. The model designed as the research result showed the presence of lagged relationships between the health of population living in the Arctic zone of the Krasnoyarsk Krai and the level of its commercial development. The research results can be used for determination of the responsibility of regional and federal authorities for consequences of ineffective nature management on the sensitive Arctic territories.