中国煤炭工业医学杂志2024,Vol.27Issue(2) :207-212.DOI:10.11723/mtgyyx 1007-9564 202402015

中国大陆31省出生率差异及影响因素分析

The variation of birth rate and its influencing factors in 31 provinces of the Chinese mainland

朱荣嘉 刘扬 余洪钊 周玉博 李宏田 刘建蒙
中国煤炭工业医学杂志2024,Vol.27Issue(2) :207-212.DOI:10.11723/mtgyyx 1007-9564 202402015

中国大陆31省出生率差异及影响因素分析

The variation of birth rate and its influencing factors in 31 provinces of the Chinese mainland

朱荣嘉 1刘扬 1余洪钊 1周玉博 2李宏田 3刘建蒙3
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作者信息

  • 1. 100191 北京市,北京大学生育健康研究所/国家卫生健康委员会生育健康重点实验室;北京大学公共卫生学院流行病与卫生统计学系
  • 2. 100191 北京市,北京大学生育健康研究所/国家卫生健康委员会生育健康重点实验室;北京大学公共卫生学院流行病与卫生统计学系;北京大学第三医院女性生育力促进全国重点实验室
  • 3. 100191 北京市,北京大学生育健康研究所/国家卫生健康委员会生育健康重点实验室;北京大学公共卫生学院流行病与卫生统计学系;北京大学第三医院女性生育力促进全国重点实验室;北京大学人工智能研究院智慧公众健康研究中心
  • 折叠

摘要

目的 分析中国大陆31省(不含港澳台地区)出生率差异,探究经济、政策、文化等典型因素对出生率的影响,为优化完善生育相关政策提供依据.方法 基于全国人口普查公报及统计年鉴,收集各省2020年第七次全国人口普查(简称七普,六普、五普以此类推)出生率及相关影响因素数据,包括2020年各省人均国内生产总值、汉族人口占比、生育旺盛期女性占比、商品房平均销售价格、居民人均消费支出、老年人口抚养比以及七普、六普、五普出生人口性别比等.构建多重线性回归模型,采用逐步回归法筛选变量,以偏决定系数(R2v)评价各因素对出生率的解释程度.对比泊松回归与多重线性回归结果差异,评价研究结果稳健性.结果 2020年中国大陆31省总出生率8.52‰,平均出生率8.60‰(标准差2.45‰),范围为3.76‰~13.90‰.省内出生率变异度较省际更小.经多重线性回归筛选,六普出生人口性别比、生育旺盛期女性占比与出生率显著正相关,人均国内生产总值、汉族人口占比与出生率显著负相关,模型决定系数0.767.六普出生人口性别比与出生率相关关系最强(R2v=0.570),生育旺盛期女性占比次之(R2=0.368).泊松回归结果与多重线性回归基本一致.结论 中国大陆各省出生率差别较大,变异系数超25%,最高出生率约为最低出生率的3.7倍.出生人口性别比、生育旺盛期女性占比、人均国内生产总值及汉族人口占比对出生率影响较大.从可干预的角度看,出生人口性别比与出生率相关性较强,提示营造重视生育的文化可促进出生率提高.

Abstract

Objective To analyze the variation of birth rates in thirty-one provinces of Chinese mainland(ex-cluding Hong Kong,Macao,and Taiwan)along with the correlation between birth rate and its typical influ-encing factors in economic,political,cultural and other aspects,in order to provide reference for improving fertility policies.Methods The study was conducted based on data sourced from National Population Census and national and provincial statistical yearbooks.Main outcome was birth rate of each province in the seventh population census in 2020(referred to as the seventh census,as is the sixth census and the fifth census).The variables in the exploratory analysis included per capita gross domestic product(GDP),the proportion of Han population,the proportion of women in their peak fertility years,average selling price of commercial build-ings,per capita consumption expenditure of households,elderly dependency ratio,and the sex ratio at birth(SRB)of the seventh census in 2020,the sixth census in 2010,and the fifth census in 2000.Stepwise regres-sion was used to build a multiple linear model in order to calculate the partial determination coefficient(R2v),and to evaluate the correlation between each factor and birth rate.The results were compared with those based on poisson regression to achieve robustness.Results The national birth rate of 31 mainland provinces was 8.52‰,with the average of 8.60‰(standard deviation of 2.45‰),ranging from 3.76‰ to 13.90‰.The variability of birth rates within provinces was smaller than that among provinces.It was found that birth rate was positively correlated with the proportion of women in their peak fertility years and SRB of the sixth census,while negatively correlated with the per capita GDP and the proportion of Han population.The coef-ficient of determination reached 0.767 in the linear regression model.The SRB of the sixth census had the strongest correlation with birth rate(R2v=0.570),followed by the proportion of women in their peak fertility years(R2v=0.368).The results of poisson regression were generally consistent.Conclusion Chinese provin-cial birth rate showed a large range of variation,with a coefficient of variation of more than 25%.The high-est birth rate was 3.7 times the lowest one.Variables including the proportion of women in their peak fertili-ty years,SRB,per capita GDP,and the proportion of Han population,could significantly affect birth rate.In the light of a strong correlation between SRB and birth rate,creating a culture of emphasizing fertility was likely to be efficient in improving birth rates.

关键词

出生率/出生人口性别比/回归分析

Key words

Birth rate/Sex ratio at birth/Regression analysis

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基金项目

国家卫生健康委项目()

中央高校基本科研业务费专项(BMU2021RCZX029)

出版年

2024
中国煤炭工业医学杂志
河北联合大学

中国煤炭工业医学杂志

CSTPCD
影响因子:0.692
ISSN:1007-9564
参考文献量23
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