EconPapers    
Economics at your fingertips  
 

Research on the Influence of Talent Subsidy Policy on Housing Price: A Case of Hangzhou

Yi Luo and Wei Wang ()
Additional contact information
Yi Luo: Zhejiang University City College
Wei Wang: Zhejiang University City College

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 651-661 from Springer

Abstract: Abstract In recent years, cities in China have been competing to introduce policies to attract talents to settle down. However, with the rise of urban housing prices caused by the settlement of talents, it is important to explore the internal mechanism. This study examines the impact of talent subsidy policy on housing prices in Hangzhou. Using data from 2016 to 2018, it employs a difference-in-difference method for the empirical research. Overall, the results show that the talent subsidy policy does promote the housing prices in Hangzhou. Beside, housing prices in different districts of Hangzhou have different responses to talent policy. These findings suggest that government need to be more cautious about the intensity of talent subsidy policy, and try to improve the happiness of talents from other aspects.

Keywords: Talent subsidy policy; Urban housing price; Difference-in-difference; Policy effectiveness (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:lnopch:978-981-19-5256-2_51

Ordering information: This item can be ordered from
http://www.springer.com/9789811952562

DOI: 10.1007/978-981-19-5256-2_51

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnopch:978-981-19-5256-2_51