Types of Resident and Price Distribution in Urban Areas: An Empirical Investigation in China Mainland

Kaida Chen, Hanliang Lin, Fangxiao Cao, Xin Li, Shuying You () and Qian Zhang
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Kaida Chen: College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Hanliang Lin: Department of Urban Planning, National Cheng Kung University, Tainan 70101, China
Fangxiao Cao: College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Xin Li: College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
Shuying You: International Digital Economy College, Minjiang University, Fuzhou 350108, China
Qian Zhang: School of Economics and Management, Fuzhou University, Fuzhou 350025, China

IJERPH, 2022, vol. 20, issue 1, 1-30

Abstract: Finding an ideal residence in the city is a common and long-lasting topic for city residents. Therefore, understanding the value composition of urban residences and consumer preference can assist other future consumers in purchasing the appropriate residence in the appropriate urban location. Similarity, this information is helpful to municipal government planners in determining the use of urban land, to real estate developers in choosing where to develop commercial residences, and to the relevant research community in determining the effects of changes on the use of urban land. Although the study on housing prices influencing variables has long attracted scholarly attention, there has been limited research on the types of residences and developers, so it is essential to expand the research on this subject. In the study, Fuzhou, China, serves as the research context. The study employs econometrics to investigate the impact of residence and developer types on housing prices. Based on the study, it is shown that the price of commercial residences can vary depending on the types of residences and developers. The study also revealed that different types of residences and developers are subject to distinct levels of price regulation. In addition, it is found that different housing price impact variables have varying degrees of impact on different types of commercial residences and developers.

Keywords: consumer behaviors; residence planning; spatial planning; developer types; housing prices; urban econometric (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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