Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China

doi:10.1155/2020/1927364

	Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China
	Zhao, Qiudi 1; Huang, Yaohuan 2; Liu, Yesen 3
刊名	COMPLEXITY
	2020-09-30
卷号	2020 页码:11
ISSN号	1076-2787
DOI	10.1155/2020/1927364
通讯作者	Huang, Yaohuan(huangyh@lreis.ac.cn)
英文摘要	The spatial and temporal distribution of the higher-education population (HEP) is a fundamental characteristic of the development level of higher education in a region or a country. Based on the annual population sampling statistics from 2000 to 2015, the spatiotemporal evolution pattern of the HEP in China is systematically analyzed. Meanwhile, 9 driving factors related to natural conditions and socioeconomic conditions of average slope, average elevation, the city location, the city size, high-speed railways, highways, gross domestic product (GDP) density, nonagricultural population, and population density of 2000 and 2010 at the municipal level are constructed. Then, the factors driving the distribution of the HEP are quantitatively analyzed using the geodetector model. The results show that the centroid of the HEP, shifting from the northeast to the southwest from 2000 to 2010, is markedly different from that of the total population from 2000 to 2015 in China. Despite their different moving directions, the distance between the two centroids is decreasing, indicating both significant regional differences of the HEP in China and a narrowing gap between the HEP and the total population in recent years. The results of the factor detector of 2000 and 2010 suggest that the proportion of the nonagricultural population and the city location are the main driving factors of the distribution of the HEP, with driving forces between 0.494 and 0.627, followed by the city size, highways, and GDP density, with driving forces are between 0.199 and 0.302. It indicates that urbanization levels and urban locations are the main factors affecting the spatial distribution of the HEP. The results of the interaction detection reveal that the interaction of the nonagricultural population and the GDP density can explain 92.7% of the spatial variety of the HEP in 2000, while that of the nonagricultural population and the population density can explain 97.6% of the spatial variety of the HEP in 2010, which reflects a more balanced development of the HEP. In addition, a large proportion of the HEP transfers from economically developed areas to densely populated areas.
资助项目	National Key Research and Development Program of China[2016YFC0401404] ; National Key Research and Development Program of China[2017YFB0503005] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100301]
WOS关键词	IMPACT ; GIS
WOS研究方向	Mathematics ; Science & Technology - Other Topics
语种	英语
出版者	WILEY-HINDAWI
WOS记录号	WOS:000581693300009
资助机构	National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157131]
专题	中国科学院地理科学与资源研究所
通讯作者	Huang, Yaohuan
作者单位	1.Beihang Univ, Sch Gen Engn, Beijing 100191, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Qiudi,Huang, Yaohuan,Liu, Yesen. Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China[J]. COMPLEXITY,2020,2020:11.
APA	Zhao, Qiudi,Huang, Yaohuan,&Liu, Yesen.(2020).Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China.COMPLEXITY,2020,11.
MLA	Zhao, Qiudi,et al."Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China".COMPLEXITY 2020(2020):11.