统计与决策2024，Vol.40Issue(24)：54-59,6.DOI:10.13546/j.cnki.tjyjc.2024.24.009
中国人口质量测度与地区差异分解
China's Population Quality Measurement and the Decomposition of Regional Differences
摘要
Abstract
This paper constructs the order-preserving principal component evaluation method integrating the importance of the first-level indicators,and measures China's population quality and decomposes the spatial and structural differences.The re-sults go as below:In terms of population quality ranking,Beijing,Shanghai and Tianjin are firmly in the top 3;Yunnan,Xinjiang,Guizhou,Gansu,and Qinghai rank at the bottom.The COVID-19 epidemic has little impact on population quality;from 2019 to 2020,only the population quality of Inner Mongolia has declined slightly.The population quality of the three major regions de-creases from the east to the west.China's population quality presents a phenomenon of spatial agglomeration,with large regional differences and declining fluctuations,from high to low in the western region,the eastern region and the central region.From the structural decomposition of population quality difference,the ideological and moral contribution of eastern region,central region and inter-region(2013-2016)is negative,and the western region is the opposite.The contribution rate of the eastern and inter-re-gional scientific culture is higher,followed by the scientific culture of western region and inter-regional physical fitness.Geo-graphical location and per capita GDP have a significant impact on the difference of population quality,and the explanatory power of population quality is scientific culture,physical fitness,ideology and morality in order from high to low.关键词
人口质量/基尼系数/加权变异系数/地理探测器/莫兰指数Key words
population quality/Gini coefficient/weighted coefficient of variation/geographic detector/Moran's index分类
社会科学引用本文复制引用
王丙参,魏艳华,马立平..中国人口质量测度与地区差异分解[J].统计与决策,2024,40(24):54-59,6.基金项目
国家自然科学基金资助项目(12071308) （12071308）
天水师范学院高层次人才科研项目(KYQ2023-13) （KYQ2023-13）
