Analysis of factors affecting fertility rate in modern Japan

2016 ◽  
Vol 77 (2) ◽  
pp. 138-143
Author(s):  
Shokobayeva V.P. ◽  
◽  
Balakayeva L.T ◽  
Author(s):  
Meenakshi K. Bharadwaj ◽  
Seema Patrikar ◽  
Sanjay Singh

Background: Permanent sterilization is a preferred method of contraception worldwide. In spite of popularization of temporary methods, it is used by 2/3rd of married women using any contraception. It has a low incidence of complications and failure rate and is cost-effective. Various socio-demographic factors play a role in acceptability of this method. It has an important role in controlling the total fertility rate.Methods: A retrospective record based analysis was done in armed forces personnel undergoing permanent sterilization operation over 11 years between 2005-2015 in a tertiary care institute. Analysis of trends in method choices of surgery, and comparison of the variables determining these choices was done. Year wise total fertility rates was calculated and the trend over 11 years was analyzed.Results: Permanent sterilization operations were performed in 2121 couples over the 11 years period. Of total operations, 1823 (85.95% with 95% confidence interval = 84.42, 87.38) were done in females and 298 (14.05% with 95% confidence interval = 12.62, 15.58) in males. Female sterilization acceptance ranged between 71.6% to 91.6% and male sterilization between 8.4%-28.4% with an increasing trend towards male sterilization acceptance over the years. Total fertility rate declined from 2.3 to 2.09 in 11 years.Conclusions: Increase in literacy rate of both the partners can positively impact the male involvement in permanent sterilization and control of TFR. This would help to stabilize India’s population growth. Also, a decline in son preference can be beneficial for decline in fertility rate. 


2020 ◽  
pp. 97-111
Author(s):  
Barbara Bennett Woodhouse

Chapter five moves from ethnography at the village level to examine the demographics of declining fertility and rural depopulation plaguing many affluent nations. A failure of generational renewal threatens the well-being of individuals, communities and societies. With the story of a child who is the last child in his remote Italian village, the author illustrates the critical importance of children to each other and to their communities. After introducing demographic concepts such as birth rate and replacement rate, total fertility rate and replacement rate fertility, the book discusses the low birth rate crisis in Italy where the population is declining at an unsustainable rate. It examines factors affecting birth rates, including adolescent fertility rate, mother’s marital status, percentage of women in the workforce, and gendered division of domestic labour. In comparison with Italy, US birth rates have been relatively robust; however, after the Great Recession US birth rates declined steadily and are now well below replacement rate. The chapter closes with discussion of the interplay between politics and demographics, including rules on birth right citizenship, the role of immigration in rejuvenating populations, and the misuse of demographic data to fuel anti-immigrant, sectarian, and racial conflict.


2020 ◽  
Vol 36 ◽  
pp. 87-102
Author(s):  
Aniefiok Henry Ekong ◽  
Olaniyi Mathew Olayiwola

Studies have shown that fertility rate in Africa is still among the highest in the world. However, there are few spatial investigations into the variation of fertility rate and its determinant in Africa. This study aimed to examine the spatial distribution of fertility rate as well as highlight its significant determinants. Ordinary Least Squares (OLS) regression was carried out on dataset for 53 African countries on Total Fertility Rate (TFR) and eleven determinant factors to obtain a best model, which was then used for Geographically Weighted Regression (GWR). The study showed that TFR was significantly influenced by adolescent fertility rates, contraceptive prevalence rates and gross domestic product per capita. GWR model diagnostics of Akaike Information Criterion and adjusted R-squared showed that GWR fitted TFR in Africa better than OLS model. Also, countries around Middle to Western Africa comprising Burundi, Democratic Republic of the Congo, Central African Republic, Chad, Nigeria, Niger, Benin, Burkina Faso and Mali, were regions with high TFRs that impacted Africa’s positive TFR spatial autocorrelation. More intense works could therefore be carried out in these countries to manage the identified significant factors affecting TFR to address the negative consequences of high TFR in Africa.


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