Socio-economic differentials and stated housing preferences in Guangzhou, China

Donggen WANG*, Si Ming LI

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)

Abstract

Households in Chinese cities today have to increasingly rely on the market to satisfy their housing needs. The growing freedom in choosing one's own residence implies increased variations in all aspects of housing consumption. Examination of individuals' housing preferences is crucial in understanding these variations. This paper studies the housing preference of Guangzhou people through choice experiments framed in state-of-the-art experimental design methods. Joint logit models comprising both neighbourhood and dwelling attributes are estimated for all subjects and for various sub-samples classified by family income, age, education, nature of employment organization, district of current residence, etc. The models are then used to compute utilities for different attribute levels, the impacts of these attributes on choice probabilities, and the relative prices that the subjects are willing to pay for buying a home in different districts, with different accessibilities, of different types, etc. Neighbourhood and location-related attributes are found to be more important than dwelling-related attributes in home purchase decisions. Further, factors such as family income, age, education, nature of employment organization, etc. are found, to various degrees, have affected housing preference. Based on the preference structures revealed, we envision a new urban morphology to take shape in Chinese cities which is not too dissimilar from the ones in cities in the West, with the inner core dominated by the aged and the urban poor and the outskirts occupied by younger people and the rich and well-educated class.

Original languageEnglish
Pages (from-to)305-326
Number of pages22
JournalHabitat International
Volume30
Issue number2
DOIs
Publication statusPublished - Jun 2006

Scopus Subject Areas

  • Urban Studies

User-Defined Keywords

  • China
  • Housing market
  • Housing studies
  • Stated preference approach

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