Abstract
Based on the personal-environment matching theory and urban comfort theory, the paper constructs an evaluation index system for urban talent ecological environment. The entropy-weighted-TOPSIS method was used to measure the urban talent ecological environment in Shandong Province from 2018 to 2021, the Gini coefficient was used to explore regional differences in the urban talent ecological environment, and the obstacle factor model was used to determine the obstacle factors affecting the urban talent ecological environment. The results show that the talent ecological environment of cities in Shandong Province can be divided into 4 tiers. Qingdao city is in the leading tier, Jinan city is in the challenging tier, Yantai city and other 4 cities are in the catching up tier, and Dezhou city and other 10 cities are in the improving tier. The urban talent ecological environment shows the spatial distribution of “ East Shandong > Central Shandong > Southwest Shandong > Northwest Shandong ”. Per capita gross regional product, foreign direct investment, general public budget income, per capita urban road area, number of patent applications granted, number of research and experimental development personnel, education expenditure, housing expenditure and other indicators are the main obstacles factors affecting urban talent ecological environment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
