{"title":"中国高等教育人口的空间流动网络及其影响因素","authors":"Wentian Shi, Xueying Mu, Wenlong Yang, Qinchang Gui","doi":"10.1093/scipol/scad082","DOIUrl":null,"url":null,"abstract":"\n The scale and frequency of talent mobility in the world have increased sharply, and the competition for talent has intensified in various regions. This paper mainly studies the spatial mobility characteristics and influencing factors of China’s highly educated talents. It found that China’s higher education population mobility network has prominent uneven characteristics, the central and eastern regions of China, especially the eastern coastal regions, are the hotspots of the network. The higher education population flows frequently in large cities and regional central areas. The hierarchical structure follows a “north-south division,” which is dominated by Beijing and Shanghai, respectively. Geographical distance has a specific hindering effect in this context. Furthermore, the similarity of culture, institutions, customs, and dialect facilitates the mobility of the higher education population. Cities with high economic levels, centralized educational resources, sound infrastructure, and aesthetically appealing environments are also likely to attract more talents.","PeriodicalId":47975,"journal":{"name":"Science and Public Policy","volume":"59 7","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The spatial mobility network and influencing factors of the higher education population in China\",\"authors\":\"Wentian Shi, Xueying Mu, Wenlong Yang, Qinchang Gui\",\"doi\":\"10.1093/scipol/scad082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The scale and frequency of talent mobility in the world have increased sharply, and the competition for talent has intensified in various regions. This paper mainly studies the spatial mobility characteristics and influencing factors of China’s highly educated talents. It found that China’s higher education population mobility network has prominent uneven characteristics, the central and eastern regions of China, especially the eastern coastal regions, are the hotspots of the network. The higher education population flows frequently in large cities and regional central areas. The hierarchical structure follows a “north-south division,” which is dominated by Beijing and Shanghai, respectively. Geographical distance has a specific hindering effect in this context. Furthermore, the similarity of culture, institutions, customs, and dialect facilitates the mobility of the higher education population. Cities with high economic levels, centralized educational resources, sound infrastructure, and aesthetically appealing environments are also likely to attract more talents.\",\"PeriodicalId\":47975,\"journal\":{\"name\":\"Science and Public Policy\",\"volume\":\"59 7\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science and Public Policy\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1093/scipol/scad082\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Public Policy","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/scipol/scad082","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
The spatial mobility network and influencing factors of the higher education population in China
The scale and frequency of talent mobility in the world have increased sharply, and the competition for talent has intensified in various regions. This paper mainly studies the spatial mobility characteristics and influencing factors of China’s highly educated talents. It found that China’s higher education population mobility network has prominent uneven characteristics, the central and eastern regions of China, especially the eastern coastal regions, are the hotspots of the network. The higher education population flows frequently in large cities and regional central areas. The hierarchical structure follows a “north-south division,” which is dominated by Beijing and Shanghai, respectively. Geographical distance has a specific hindering effect in this context. Furthermore, the similarity of culture, institutions, customs, and dialect facilitates the mobility of the higher education population. Cities with high economic levels, centralized educational resources, sound infrastructure, and aesthetically appealing environments are also likely to attract more talents.
期刊介绍:
Science and Public Policy is a leading refereed, international journal on public policies for science, technology and innovation, and on their implications for other public policies. It covers basic, applied, high, low, and any other types of S&T, and rich or poorer countries. It is read in around 70 countries, in universities (teaching and research), government ministries and agencies, consultancies, industry and elsewhere.