Research on the Theoretical Logic and Suggested Countermeasures of the Impact of Smart City Construction on Housing Price Fluctuations
Qing Li,Kun Zhao,Yuxi Chen
SOUTHEAST UNIVERSITY SCHOOL OF ECONOMICS & MANAGEMENT,Nanjing,Jiangsu 211102,China
Abstract: Based on the panel data of 284 prefecture-level cities in China from 2000 to 2021, this paper uses the Spatial Dubin differin-differences model (SDID) to systematically investigate the spatial spillover effect of smart city construction on housing price fluctuations and its mechanism of action. The research finds that the pilot policies of smart cities can not only significantly curb the fluctuations of local housing prices, but also have a negative spatial spillover effect on housing prices in surrounding areas, demonstrating obvious characteristics of regional collaborative governance. This effect diminishes with the increase of geographical distance and indirectly affects housing prices through a green intermediary mechanism of enhancing energy efficiency and reducing carbon emission intensity (i.e., improving the carbon footprint economy). Further mechanism tests show that the level of economic development plays a moderating role in the impact of smart cities on housing prices. Based on the research conclusions, this paper puts forward policy suggestions such as building a regional collaborative governance framework and improving the cross-city policy linkage and data sharing mechanism to promote the stable and healthy development of the real estate market.
Keywords : Smart city construction Fluctuations in housing prices; Spatial spillover effect Regional collaborative governance Spatial Durbin model; Suggested countermeasures
论文收录证明 / 文献检索报告
Document Retrieval Certificate / Proof of Publication Indexing
作者贡献声明 / 贡献确认书
Author Contribution Statement / Certificate of Authorship Contribution
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). For details of the license, please visit:https://creativecommons.org/licenses/by/4.0/.