@ARTICLE{26543117_64379162_2012, author = {V. Toichkina}, keywords = {, indexes of mortality intensity, process of population reproduction, stability of demographic development, the indicators, the standardized coefficient of depopulationa rating}, title = {Methods to evaluate reproduction of population in municipalities (following the example of Murmansk region)}, journal = {Public Administration Issues}, year = {2012}, number = {3}, pages = {188-194}, url = {https://vgmu.hse.ru/en/2012--3/64379162.html}, publisher = {}, abstract = {The article deals with methodological aspects of diagnosing the demographic situation in municipalities of the region by the indicators, characterizing the sustainability of the population reproduction. Results: Theoretically, the indexes showing the ratio of intensive processes of mortality of the population compared (municipalities of Murmansk region) and the population standard (the whole region) are based on the fact, that distinctions between general  mortality rates of the population of each municipality and the region as a whole are due to differences in sex-age mortality rates. The accepted indicator for diagnosing sustainability of the population reproduction - "the life expectancy at birth" is a generalizing index of sex-age and infant mortality rates. It is on the basis of these indexes that ratings of municipalities in the region are made by the indicator "the life expectancy at birth". Conclusions: study of the dynamics of the population reproduction; the various levels in municipalities;   comparison between municipalities and the region as a whole by the indicators of sustainability of the population reproduction, allows to assess social effectiveness of the implementation of the state, regional and municipal demographic policies and take necessary managerial decisions to achieve the demographic indicators stated in the program documents. The demographic policy carried out at the municipal level is a key factor for a sustainable demographic development of both a region and the country as a whole.Proposals: standardized conditional rates of depopulation to build municipalities ranking in the region through the process of the population reproduction; indexes of mortality intensity as a tool to assess the life expectancy of the population in municipalities.}, annote = {The article deals with methodological aspects of diagnosing the demographic situation in municipalities of the region by the indicators, characterizing the sustainability of the population reproduction. Results: Theoretically, the indexes showing the ratio of intensive processes of mortality of the population compared (municipalities of Murmansk region) and the population standard (the whole region) are based on the fact, that distinctions between general  mortality rates of the population of each municipality and the region as a whole are due to differences in sex-age mortality rates. The accepted indicator for diagnosing sustainability of the population reproduction - "the life expectancy at birth" is a generalizing index of sex-age and infant mortality rates. It is on the basis of these indexes that ratings of municipalities in the region are made by the indicator "the life expectancy at birth". Conclusions: study of the dynamics of the population reproduction; the various levels in municipalities;   comparison between municipalities and the region as a whole by the indicators of sustainability of the population reproduction, allows to assess social effectiveness of the implementation of the state, regional and municipal demographic policies and take necessary managerial decisions to achieve the demographic indicators stated in the program documents. The demographic policy carried out at the municipal level is a key factor for a sustainable demographic development of both a region and the country as a whole.Proposals: standardized conditional rates of depopulation to build municipalities ranking in the region through the process of the population reproduction; indexes of mortality intensity as a tool to assess the life expectancy of the population in municipalities.} }