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中國人口出生性別比空間聚集性及影響因素

發(fā)布時間:2018-03-10 09:30

  本文選題:出生性別比 切入點:空間回歸 出處:《鄭州大學學報(醫(yī)學版)》2017年03期  論文類型:期刊論文


【摘要】:目的:采用空間回歸模型分析中國人口出生性別比的影響因素。方法:收集2010年全國31個省、自治區(qū)、直轄市出生男嬰數(shù)和女嬰數(shù)及經(jīng)濟、教育和醫(yī)療等數(shù)據(jù),擬合多重線性回歸模型和空間回歸模型。結(jié)果:空間相關(guān)分析顯示中國人口出生性別比存在空間聚集性(Moran's I=0.281,Z=4.093,P0.001)。多重線性回歸模型和空間回歸模型均顯示少數(shù)民族人口比例(%)、平均每千人衛(wèi)生機構(gòu)床位數(shù)(張)、人口出生率(‰)和二胎及以上胎次比例(%)是中國人口出生性別比的影響因素;多重線性回歸模型4個變量的β分別為-0.201、-6.237、2.458和-0.507(P均0.05),模型R~2為0.760;空間回歸模型4個變量的β分別為-0.199、-6.314、2.451和-0.504(P均0.05),模型R~2為0.816。結(jié)論:中國人口出生性別比呈現(xiàn)空間聚集性;影響中國人口出生性別比的因素為少數(shù)民族人口比例、平均每千人衛(wèi)生機構(gòu)床位數(shù)、人口出生率和二胎及以上胎次比例。
[Abstract]:Objective: to use spatial regression model to analyze the factors influencing the sex ratio of Chinese population at birth. Methods: in 2010, data on the number of male and female infants, economic, educational and medical care were collected in 31 provinces, autonomous regions and municipalities directly under the Central Government. Fitting multiple linear regression model and spatial regression model. Results: spatial correlation analysis showed that the birth sex ratio of Chinese population had spatial aggregation. The multiple linear regression model and the spatial regression model both showed that there was a spatial aggregation of the birth sex ratio of the Chinese population. Both the multiple linear regression model and the spatial regression model showed ethnic minorities. The average number of beds per 1,000 population in health institutions (Zhang, the birth rate (per 鈥,

本文編號:1592745

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