Spatial analysis of Aging Population in Taiwan
Date Issued
2008
Date
2008
Author(s)
Hsu, Hui-Chun
Abstract
Along with the development of social economy, mortality rate and birth rate reducing, economy wealthily, medicine is developed and the growth of life expectancy. Above 65 years old person divided by the total population reach 7.10% in 1993, officially marched into aging population society. So there were many scholars researched aging population, in the past studied scholar of aging population focused on population’s demographic history, the social economy factor and so on, attempted to discover the factor of the aging population. But actually they had not considered the distribution of the geography space. Therefore, this article gathers the geography and the static demography concept to analyze, and some factors of economy and society. And test the spatiall pattern of Ordinary Least Square’s residul, if it is random. If the answer is not, two broad classes of spatial effects may be distinguished, referred to as spatial dependence and spatial heterogeneity. This research discovery: the relationship of Age structure index and the variables of population and society have slightly difference in 1990 and 2000. But something are the same. The relationship of high education ratio, sex ratio and copule rate between age structure index are negative. And the realationship of net migration ration between age structure index is positive. Indicate that less high education ratio, sex ratio or copule rate and more net migration ration will increase Age structure. In addition, the residul having spatial pattern is not good to use Ordinary Least Square. Therefore carries on the examination to the model, discovered in the spatial dependence aspect, Spatial Lag model is better than Ordinary Least Square. Otherwise, in spatial heterogeneity aspect, Geographically Weighted Regression is better than Ordinary Least Square.
Subjects
Aging Population
Age Structure Index
Spatial Dependence
Spatial Heterogeneity
SDGs
Type
thesis
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