scholarly journals Significance of age-sex structure in defining population policy measures

2018 ◽  
pp. 537-545
Author(s):  
Ivan Marinkovic

Serbia in the second decade of the 21st century is one of the demographically oldest countries of the world with marked depopulation. The prolongation of life expectancy and the long-term fertility below the level needed for population replacement, as well as the emigration of predominantly young people, are the main factors for demographic aging in Serbia and the current decrease in population size. As a result of decades-long adverse demographic trends, the age structure is increasingly becoming a limiting factor in defining population policy measures. In the period between years 1991 and 2011, the cohort of women aged between 15-49 years decreased by 250 thousand, and at the same time the population of women in the so-called optimal reproductive age (20-34 years) decreased by almost 90 thousand. Mathematical simulations, in which the current distribution of the population of Serbia by age and sex is projected in the coming decades, will show what the result can be expected with the growth of fertility, the prolongation of life expectancy and influx of young immigrants. In particular, the focus will be on the constraints imposed by the inherited age structure on the population dynamics. The notion of demographic inertia will be considered and whether the depopulation effect is unstoppable in the next few decades. We discuss possibilities and constraints in establishing population policy measures.

2021 ◽  
Vol 42 (1) ◽  
pp. 75-85
Author(s):  
E.N. Sindyashkina ◽  

Since 2018, a new package of demographic policy measures has been introduced in Russia, including direct financial support for families with children, a preferential mortgage lending program, expanded use of maternity funds, and the development of infrastructure aimed at facilitating childcare. In 2019-2020, the measures taken were adjusted and supplemented. The article attempts to answer the question of whether the introduction of a package of pro-natalist measures affects the fertility rate; the possible impact of new measures of demographic policy, its timing and nature is considered. The article presents a detailed analysis of the main parameters of fertility, such as the dynamics of age-specific fertility rates by five-year age groups for first second and third births; transformation of the age profile of fertility; dynamics of the total fertility rate. The contribution of structural (change in the number of women of reproductive age for each age group) and demographic (change in age-specific fertility rates) factors to the change in the number of births has been determined. The groups of regions are formed according to the age profiles of the first-born fertility. The author applies methods of comparative analysis of fertility rates by age groups, by birth order, by region, methods of retrospective analysis, classification, and grouping. The research results can be used in the development of measures to improve population policy.


2020 ◽  
Vol 53 (3) ◽  
Author(s):  
Afsheen Khan ◽  
S. Shahid Shaukat ◽  
Moinuddin Ahmed

2017 ◽  
pp. 65-72
Author(s):  
Z. О. Palian ◽  
I. H. Bondarenko

A balanced change in demographic processes should be considered as a prerequisite and, at the same time, as a result of the stable development of the state. Reproduction intensity depends not only on the character of demographic behavior, but also on the presence of contingents of the population, providing or potentially able to provide for its replacement. The dynamics of Ukrainian population, the transformation of its gender-age structure during the period of independence, taking into account the intensive and structural factors of natural increase and migration, is considered. During 2002-2015, the regime of survival and fertility improved in Ukraine, due to which the depopulation slowed down somewhat. But even these positive changes do not compensate for the loss of population size as a result of systematic aging, reducing the proportion of reproductive contingent and its aging. Significant demographic losses, direct and indirect, were caused by a hybrid war from Russia. Alienation of the territory of the Crimea and parts of Donbas is not only a minus 2.5 million citizens of Ukraine. This is a change in the structure of the population - a decrease in the proportion of older age groups that increase the demographic load and worsen the characteristics of survival and fertility of the maternal generation. In this work are presented the results of the short-term simulation of population size and structure taking into account modern trends of replacements components and existing administrative-territorial changes. Two scenarios of the forecast for 2018 have been developed, and the base year it was taken in 2013, when the Crimea was part of Ukraine. The first, realistic scenario was based on the preservation of the current situation - Ukraine without the annexed Crimea and the occupied part of the Donbas. The second scenario imitates the return to Ukraine of all the lost territories. Simulation showed that the population of Ukraine will be reduced by both scenarios, but to 41.9 million people under the scenario without the occupied and annexed territories and to 44.7 million people in the second scenario. The finish of war will due to slow down the death rate to 14.9%0. The age structure of the population does not differ significantly in two scenarios, because the forecast horizon is very short (4 years). The share of generation of parents and women of reproductive age in both variants of the forecast decreases. However, in the case of returning Crimea, it will be even lower (47.4% vs. 47.5% in the first scenario). The reason for this is the emigration of young and middle-aged people to the mainland of Ukraine and to the Russian Federation, which provided some preferences to the settlers from Ukraine. Expected structural changes combined with the modern life and fertility regime will worsen natural population growth rates in both scenarios. In further research is planned to build trend models of births and deaths that will allow the artificially restore the interrupted time series due to administrative-territorial incomparability of data on demographic events


2017 ◽  
Vol 7 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Hong Gao ◽  
Tianxiang Yao ◽  
Xiaoru Kang

Purpose The purpose of this paper is to predict the population of Anhui province. The authors analyze the trend of the main demographic indicators. Design/methodology/approach On the basis of the main methods of statistics, this paper studies the tendency of the population of Anhui province. It mainly analyzes the sex structure and the age structure of the current population. Based on the GM(1,1) model, this paper forecasts the total population, the population sex structure, and the population age structure of Anhui province in the next ten years. Findings The results show that the total population was controlled well, but there have been many problems of the population structure, such as the aging population, high sex ratio, heavy social dependency burden, and the declining labor force. Social implications This paper forecasts the main indexes of the population of Anhui province and provides policy recommendations for the government and the relevant departments. Originality/value This paper utilizes data analysis method and the grey forecasting model to study the tendency of the population problems in Anhui province.


Author(s):  
Lesley K Bowker ◽  
James D Price ◽  
Sarah C Smith

The ageing person 2 Theories of ageing 3 Demographics: life expectancy 4 Demographics: population age structure 6 Demographics: ageing and illness 8 Illness in older people 10 There are many differences between old and young people. In only some cases are these changes due to true ageing, ie due to changes in the characteristic(s) compared with when the person was young....


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
D Lamnisos ◽  
K Giannakou ◽  
T Siligari

Abstract Background Demographic aging is an emerging issue in Greece, characterized by low fertility and increased life expectancy. Undoubtedly, demographic aging is a challenge for public health not only due to the financing of public pensions, but also for the increasing utilization of health care. Methods The total fertility rate and life expectancy at birth are projected probabilistically using Bayesian hierarchical models and United Nations population data for Greece from the period of 1950 to 2015. These are then converted to age-specific mortality rates and combined with a cohort component projection model. This yields probabilistic projections of total population by sex and age groups, total fertility rate (TFR), female and male life expectancies at birth and potential support ratio PSR (persons aged 20-64 per person 65+) by the year 2100. Results The total population in Greece in 1950 was around 7.5 million, increasing to 11 million based on the 2011 population census but is projected to decline to 7.5 million at 2100. TFR has followed a strong downward trend with 1.4 children per woman in 2005-2010 and is projected to have a slight increase to 1.6 and 1.8 children per woman for 2050 and 2100 with all values being below the replacement-level fertility. Life expectancy is expected to increase to 84 years for men and 88 years for women in 2050, and 90 years for men and 94 years for women in 2100. PSR is expected to decline dramatically from 3 in 2011 to approximately 1.5 in 2050 and 2100. Conclusions Over the years, Greece has lost its youthful structure and has acquired the characteristics of an aging population, reflecting the population distribution of Western countries. Demographic aging is harmful for the economic growth, the social security system, the social assistance, and it is closely linked to national defense and public health. A long-term multidimensional program is recommended to confront the demographic issue based on the previous international experience. Key messages Total fertility rate will be below replacement level and potential support ratio will decline dramatically. A long-term multidimensional program needs to be developed to address the demographic aging.


2014 ◽  
Vol 5 (1) ◽  
pp. 14-18
Author(s):  
Md Atiqur Rahman ◽  
Md Mahfuzar Rahman ◽  
Sazia Huq ◽  
Sardar Mahmud Hossain

Bangladesh is a country having high density of population in the world. Its fertility rate ranges from 4.1 to 5.49 and life expectancy is 66years while the total fertility rate of Asia is 2.2 and life expectancy 70 years. This descriptive type of cross sectional survey was carried out among 240 married women of reproductive age from July to December, 2012 in some villages of Keranigonj, Upazila, Dhaka. 73(31%) were practicing some methods of contraception, while 167 (69%) were not using it. OCP (Oral Contraceptive Pill) was the commonest method of contraception followed by Condoms 12(5%), Injectable 12(5%), Implant 12(5%) & Tubectomy 6(3%). None was found using IUCD and Traditional method ( withdrawal, rhythm method ) and emergency contraceptive method. The use of contraceptive was more common in grand multipara (p<0.01), >35 years old ladies (p<0.05). Non users of contraceptives in this study were 167 (69%) and the major reason for the non use was intention to have more children 53(31.46%) followed by pressure from the husband 21(12.35%), prohibition by the religion 18 (10.9%) and desire for son 17 (10.11%). Among the 73 contraceptive users 38 (52%) experienced side effects with the use of contraceptives. The commonest side effects were menstrual irregularities 17(23.8%) followed by change in body weight 8(11.19%). Frequency of contraceptive use was found comparatively low among rural married women despite high level of awareness. Desire for larger family, religious concerns and fear of side effects were the main factors responsible for non users. Religious scholars must play their role in clarifying many aspects regarding contraceptives. DOI: http://dx.doi.org/10.3329/akmmcj.v5i1.18767 Anwer Khan Modern Medical College Journal Vol. 5, No. 1: January 2014, Pages 14-18


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