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Spatial And Temporal Distribution Of Population Aging In Our Country

Posted on:2013-11-15Degree:MasterType:Thesis
Country:ChinaCandidate:N LiuFull Text:PDF
GTID:2247330377957301Subject:Human Geography
Abstract/Summary:PDF Full Text Request
According to the data of the sixth population census of China, in2010, the number of the population aged60years and over was178million, accounting for13.26percent of the country’s total population, among that the number of the population aged65years and over was about119million, accounting for8.87percent of the country’s total population in China. Compared with the fifth population census of China in2000, the proportion of the population aged60years and over had advanced2.93points, and that aged65years and over had advanced1.91points. Since the1980’s, with a fast decreased birthrate due to the family planning policy strictly implemented, lead to the country’s aging population in the rapid increase, degree of aging population becomes more and more serious.Compared with the developed countries, our country in advance entered into the aging society to age before it gets rich, in the meantime, our country have some characteristics like:the absolute quantity of elder population is large, the accelerated speed of population aging is fast, the area difference of aging degree is significant etc. At present, China’s social old-aged security system, as well as the system of policies and regulations and law, which are relevant to provide for the aged, both of the systems are not perfect, the endowment infrastructure is still lacking, personal endowment is still a severe challenge for Chinese residents. In the21st century, China will be facing a big social problem that is the aging of the population. If we can not properly solve the aging of the population, which will seriously affect social economic development and social harmony and stability. Therefore the research into the problem of aging population is valuable for our country, society and individuals.This paper analyses the basic situation of regional distribution of elderly population using the mathematical statistic method in China, and combined with GIS and related drafting software present ageing population index in graphical form such as elderly population coefficient, ratio of older to child, elderly population burden coefficient, tempo of elderly geographical concentration etc. And then use the gray correlation analysis method for quantitative analysis of the aging population of the regional differences in the influencing factors; through Chinese old-age institutions and the demand of the qualitative analysis, and the mathematical statistical analysis and spatial analysis for the number of regional endowment institutions, think endowment facilities and an ageing population degree in number are not match, and the consistency in the space distribution is poor, argumentation in Chinese endowment facilities construction is in urgent need of perfect; In the end of the article mainly put forward six countermeasures and suggestions against population aging like that carrying out active aging, increasing the investment to the construction of endowment infrastructures, to speed up the social security systems’construction covering all residents in the urban and rural areas.The innovation of this paper. More than ever before from sociology, management science, economics, medical point to study the problem of aging population in China, but this paper is from the point of geography, with three times’ national population census data material as the foundation of our country, make a detailed comparative analysis to the problem of aging population of Chinese31provincial administrative region, from the time (vertical) on the development and change of space (horizontal) of the regional differences, and in this paper based on the analysis of the mathematical statistics, using ArcGIS and GeoDA software, to show the calculation results by the way of thematic maps, easier to find the rules and phenomena hidden behind the data.
Keywords/Search Tags:population aging, regional difference, spatial distribution, China
PDF Full Text Request
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