Shufeng Cong, Lee Chin, Mohamad Khair Afham Muhamad Senan, Yuhong Song
{"title":"THE IMPACT OF THE DIGITAL ECONOMY ON URBAN HOUSE PRICES: COMPREHENSIVE EXPLORATIONS","authors":"Shufeng Cong, Lee Chin, Mohamad Khair Afham Muhamad Senan, Yuhong Song","doi":"10.3846/ijspm.2024.21474","DOIUrl":null,"url":null,"abstract":"Internet technology and data-driven innovations are changing the way people live and work, which could have an impact on real estate supply and demand. Therefore, this study focuses on the relationship between urban digital economy growth and urban house prices. First, the empirical model shows that the digital economy has an inverted U-shaped impact on urban housing prices. The mechanisms underlying this relationship were then examined. The results indicated that fixed asset investment, government expenditure, and the urban environment influence the relationship between digital economy growth and urban house prices. Finally, a heterogeneity analysis revealed that the digital economy does not affect house prices in Tier 1, New Tier 1, and Tier 2 Chinese cities, but increases house prices in Tier 3 cities. In Tier 4 and Tier 5 cities, this relationship was found to be inverted U-shaped. These findings offer valuable insights to policymakers in China in balancing the growth of the digital economy and the stability of house prices.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.3846/ijspm.2024.21474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Internet technology and data-driven innovations are changing the way people live and work, which could have an impact on real estate supply and demand. Therefore, this study focuses on the relationship between urban digital economy growth and urban house prices. First, the empirical model shows that the digital economy has an inverted U-shaped impact on urban housing prices. The mechanisms underlying this relationship were then examined. The results indicated that fixed asset investment, government expenditure, and the urban environment influence the relationship between digital economy growth and urban house prices. Finally, a heterogeneity analysis revealed that the digital economy does not affect house prices in Tier 1, New Tier 1, and Tier 2 Chinese cities, but increases house prices in Tier 3 cities. In Tier 4 and Tier 5 cities, this relationship was found to be inverted U-shaped. These findings offer valuable insights to policymakers in China in balancing the growth of the digital economy and the stability of house prices.
互联网技术和数据驱动的创新正在改变人们的生活和工作方式,这可能会对房地产供求产生影响。因此,本研究重点关注城市数字经济增长与城市房价之间的关系。首先,实证模型显示,数字经济对城市房价的影响呈倒 U 型。然后,研究了这种关系的内在机理。结果表明,固定资产投资、政府支出和城市环境影响了数字经济增长与城市房价之间的关系。最后,异质性分析表明,数字经济不会影响中国一线、新一线和二线城市的房价,但会提高三线城市的房价。在四线和五线城市,这种关系呈倒 U 型。这些发现为中国政策制定者平衡数字经济增长和房价稳定提供了宝贵的启示。