Analysis Of Chinese Death Level And Its Influencing Factors

Death is one of the three basic stages of demographic change,but due to the impact of traditional ideas and information,China attaches much less importance to the issue of mortality than births and migration.In recent years,due to the increasingly serious problem of aging Chinese population,people’s attention to death and health has also increased.There are obvious differences in the distribution and utilization of resources between different regions in China,so this paper studies the spatial distribution of provinces with the death level of Chinese population in each census year since the Five Census years and the temporal and spatial heterogeneity of their influencing factors on each province.The research data in this paper comes from the fifth,sixth and seventh national censuses released by the National Bureau of Statistics.In terms of research methods,this paper adopts a direct standardized method to revise and process the data,eliminate the influence of population age structure,and make the research results more comparable and universal.In addition,spatial statistical methods were used to further analyze regional differences in the level of population death.In terms of modeling,this paper adopts four models,including classical measurement,time weighting,geographic weighting and spatiotemporal geographically weighted regression,and finally chooses to use the spatiotemporal geographically weighted regression model to analyze the influencing factors of population mortality by comparing the goodness-of-fit.This model can effectively explore the characteristics of various influencing factors of population mortality in time and space,and provide a more detailed and comprehensive analysis for in-depth understanding of the change trend and influencing factors of population mortality.Combining the results of these analyses can better understand the current demographic situation and public health situation in China,and help formulate more scientific and effective health policies.The main conclusions are as follows:(1)The mortality rate of the population is increasingly affected by the age structure.There were significant regional differences between standardized and crude mortality rates across regions and time periods.And after standardized treatment,the mortality rate in some areas even showed the opposite change trend,indicating that the change of mortality is a complex and diverse problem,and the role of various factors needs to be comprehensively considered.(2)Global spatial autocorrelation analysis shows that population mortality has a certain agglomeration effect,and the interaction relationship between provinces is becoming increasingly significant;According to the local spatial autocorrelation analysis,the spatial distribution of Chinese mortality mainly shows an east-west trend,and the boundary between gradients becomes blurred with the change of time.The characteristics of spatial agglomeration are mainly manifested as "high-high","low-low" and "low-high".(3)The six influencing factors selected in this paper showed obvious spatial agglomeration characteristics among different regions,and the effects on the mortality rate of the population in different provinces showed differences in different periods.In addition,by observing the influence values of different influencing factors,it is found that they have both positive and negative effects,and these results need to be explored and discussed one by one.