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2010—2020年中国人口受教育状况的时空变化及影响因素分析 被引量:1

Analysis on the Temporal and Spatial Variation and Influence Mechanism of China's Populations of Educated Level in the Past Decade
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摘要 人口受教育状况的区域性差异是影响中国社会稳定发展的重要因素.本文根据2010年与2020年公开的人口受教育数据,运用系统聚类分析、集中化指数和GIS技术,对中国31个地区的人口受教育程度进行分类、分析.结果表明,通过聚类分析将中国31个地区按照人口受教育程度的差异分为五类.从2010年到2020年,这五类地区的平均受教育年限约增长0.92年.教育的区域性差异主要在高中和高等教育的比重上.从空间分布上来看,中东部地区的人口受教育程度总体优于西部地区;东北部地区的人口受教育程度总体优于西北、西南和东南地区.从整体上来看,人口受教育程度的发展是与经济发展日趋协调的.人口受教育状况的集中化指数下降了1.28%,证明教育发展水平逐渐趋于均衡. Regional differences in population education is an important factor affecting China's social stability and development.Based on the data of population education published in 2010 and 2020,this paper uses cluster analysis,centralization index and GIS technology to classify and analyze the education level of population in 31 regions of China.The results show that 31 regions in China are divided into five categories according to the difference in population education level through cluster analysis.From 2010 to 2020,the average years of education in these five regions increased by about 0.9 years.Regional differences in education mainly lie in the proportion of high school and higher education.From the spatial distribution,the education level of the population in the central and eastern regions is generally better than that in the western regions;the education level of the population in Northeast China is generally better than that in Northwest,Southwest and Southeast China;overall,the educational level of the population is increasingly coordinated with economic development.The concentration index of the population's educational status decreased by 1.28 per cent,demonstrating that the level of educational development tends to be balanced.
作者 张艳会 范佳卉 ZHANG Yan-hui;FANG Jia-hui(School of Environmental Science,Nanjing Xiaozhuang University,Nanjing 211171,China)
出处 《南京晓庄学院学报》 2022年第6期75-80,共6页 Journal of Nanjing Xiaozhuang University
基金 南京晓庄学院引进高层次人才科研启动经费项目.
关键词 受教育程度 聚类分析 集中化指数 区域差异 educated level cluster analysis centralization index regional difference
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