China’s Highly Educated Talents in 2015: Patterns, Determinants and Spatial Spillover Effects

Using data from the 2015 national one percentage population sample survey, this paper examines the distribution, driving forces, and spatial effect of highly educated talents at the prefecture level. It involves spatial autocorrelation analysis and spatial econometrics models. The results show that...

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Bibliographic Details
Published inApplied spatial analysis and policy Vol. 13; no. 3; pp. 631 - 648
Main Authors Gu, Hengyu, Meng, Xin, Shen, Tiyan, Wen, Luge
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.09.2020
Springer Nature B.V
Subjects
Human Geography
Landscape/Regional and Urban Planning
Population distribution
Public services
Regional/Spatial Science
Social networks
Social Sciences
Spatial analysis
Highly educated talents
Driving forces
Spatial pattern
China
Spatial spillover effect
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Summary:Using data from the 2015 national one percentage population sample survey, this paper examines the distribution, driving forces, and spatial effect of highly educated talents at the prefecture level. It involves spatial autocorrelation analysis and spatial econometrics models. The results show that the spatial pattern of talents is highly concentrated, unbalanced, and clustered among cities. Economic opportunities are the main forces affecting the distribution of talents, although some amenity variables (e.g., public services and accessibility) also matter. Our findings suggest that spatial spillover effect of the distribution of talents mainly comes from the influence of cross-city or country specific talent policies and social network linkages.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1874-463X
1874-4621
DOI:10.1007/s12061-019-09322-6