The sustainable development of Hi-Tech human resources under the background of excessive real estate investment

Qian Wu (), Yuehan Liu () and Weiyi Li ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 9, 365-385

Abstract: The development level of high-tech industries serves as a primary indicator of urban core competitiveness, with talent agglomeration being a critical factor. Promoting synergy between talent and industries is essential for the transformation and upgrading of resource-based cities. Currently, China's high-tech sector accounts for a relatively low proportion of the national economy amid structural imbalances, and overheated real estate investment may exert profound negative effects on talent agglomeration. Based on panel data from 256 Chinese cities, this study employs spatial econometric models to analyze these relationships. The findings reveal that excessive real estate investment and secondary industry agglomeration significantly inhibit the agglomeration of high-tech talents, consistently observed across both developed and non-first-tier cities. The mechanism underlying this relationship is that while real estate investment stimulates the agglomeration of secondary industries, the latter crowds out human and other critical resources required by high-tech industries, resulting in a significant negative correlation between the two. This study provides important insights for promoting talent agglomeration and fostering sustainable urban development.

Keywords: Agglomeration of talents; Hi-tech industries; Real estate investment; Spatial econometric model. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/9806/3212 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:9:p:365-385:id:9806

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().