Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401. Лукьянец А.С., Охрименко И., Егорова М.Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401.ISSN 1869-0459Размещена на сайте: 08.12.20 Поискать полный текст на Google AcademiaСсылка при цитировании:Лукьянец А.С., Охрименко И., Егорова М. Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401.Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401. АннотацияThe study considers “life expectancy” as a complex category at the intersection of biological, social and economic sciences. The mathematical component of the “life expectancy” indicator is deciphered on the basis of the so-called lifetables. The factors of influence on the economic category dynamics are analyzed and systematized with the subsequent determination of the strength of their relationship through a correlation and regression analysis. The research subjects are Russia, Kazakhstan, the USA and China, which allows assessing the dynamics of life expectancy in developed and developing countries, as well as in transition economies. The correlation and regression analysis revealed that in economically unstable countries (Russia and Kazakhstan), biological factors associated with the spread of HIV and tuberculosis are the most powerful. In developed countries (the USA and China), social factors associated with public health policy and environmental trends come to the fore.Ключевые слова: life expectancy mortality table economic development correlation and regression analysis Рубрики: Смежные дисциплиныЛукьянец А.С., Охрименко И., Егорова М.Лукьянец А.С., Охрименко И., Егорова М.Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401.ISSN 1869-0459Размещена на сайте: 08.12.20 Поискать полный текст на Google AcademiaСсылка при цитировании:Лукьянец А.С., Охрименко И., Егорова М.Лукьянец А.С., Охрименко И., Егорова М. Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401.Lukyanets A., Okhrimenko I., Egorova M. Life Expectancy as an Economic Category: Social, Epidemiological and Macroeconomic Context. Talent Development & Excellence, 2020, Vol. 12, No. 2s, pp. 1390-1401. АннотацияThe study considers “life expectancy” as a complex category at the intersection of biological, social and economic sciences. The mathematical component of the “life expectancy” indicator is deciphered on the basis of the so-called lifetables. The factors of influence on the economic category dynamics are analyzed and systematized with the subsequent determination of the strength of their relationship through a correlation and regression analysis. The research subjects are Russia, Kazakhstan, the USA and China, which allows assessing the dynamics of life expectancy in developed and developing countries, as well as in transition economies. The correlation and regression analysis revealed that in economically unstable countries (Russia and Kazakhstan), biological factors associated with the spread of HIV and tuberculosis are the most powerful. In developed countries (the USA and China), social factors associated with public health policy and environmental trends come to the fore.Ключевые слова: life expectancy mortality table economic development correlation and regression analysis Рубрики: Смежные дисциплиныВозможно, вам будут интересны другие публикации:Zubko A.V., Sabgaida T.P., Evdokushkina G.N., Kulikova V.A., Ivanova A.E. Life expectancy loss due to the COVID-19 pandemic exemplified by Moscow, European Journal of Public Health, Volume 31, Issue Supplement_3, October 2021, ckab165.051.Zubko, A.V., Sabgayda, T.P., Semyonova, V.G. (2022). Factors Reducing Child Mortality from Congenital Heart Defects in Russia. In: Skiadas, C.H., Skiadas, C. (eds) Quantitative Methods in Demography. The Springer Series on Demographic Methods and Population Analysis, vol 52. Springer, Cham. P. 317-333.Ivanova, A.E., Semenova, V.G. & Sabgaida, T.P. Reserves for Reducing Mortality in Russia Due to the Efficiency of Health Care. Her. Russ. Acad. Sci. 91, 565–577 (2021).Manshin, R.V., Moiseeva, E.M. (2022). The Role of Migration in the Contemporary Demographic Development of Russia. In: Popkova, E.G., Sergi, B.S. (eds) Geo-Economy of the Future. Springer, Cham. P. 607-618.Dmitrieva Yu.V. Self-Preservation Behaviour as a Condition for Reducing Mortality and Increasing Life Expectancy. Material of European Population Conference 2020, Padava, Italy (24-27 July). URL: http://epc2020.popconf.org/abstracts/200033