Spatial Demographic Aging Process through Spatial Auto Correlation and Regression

M. Taj Uddin, Md Nazrul Islam, Ahmad Kabir, Mohammad Kamal Hossain

Abstract: This study is an attempt to assess the spatial population aging in Bangladesh using both census  and survey data collected from Bangladesh Bureau of Statistics during the period 1951 to 2001. Different measures of population aging have been used for analysis. Spatial auto correlation and spatial regression model have also been used to analyse the data. It is found that the southern region is more aged than other region of the country. There exists a spatial variation of aging process when districts are considered as spatial unit. A negative relationship between the aging index and the CBR has been observed. From the spatial autocorrelation, it is found that there is a positive association among the spatial values of aging index. It is observed that the value of the AI at a given location tends to be similar to the values of that index in nearby locations. From the Spatial regression models it is observed that the spatial lag model fits the data well and supports the claim of spatial auto correlation.

Keywords: Spatial Demographic Aging Process, Spatial auto correlation and spatial regression model.

Tile: Spatial Demographic Aging Process through Spatial Auto Correlation and Regression

Author: M. Taj Uddin, Md Nazrul Islam, Ahmad Kabir, Mohammad Kamal Hossain

International Journal of Social Science and Humanities Research

ISSN 2348-3156 (Print), ISSN 2348-3164 (online)

Research Publish Journals

Vol. 4, Issue 1, January 2016 – March 2016

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Spatial Demographic Aging Process through Spatial Auto Correlation and Regression by M. Taj Uddin, Md Nazrul Islam, Ahmad Kabir, Mohammad Kamal Hossain