Spatial Variation in the Determinants of House Prices and Apartment Rents in China
Posted: 25 Aug 2012
Date Written: 2012
This paper provides an examination of China's residential real estate market at the county level using data from that country's 2000 census. The market is a new one, having only been fully established in 1998. The analysis in the paper is in the form of an aggregate (county-level) hedonic model specified in two versions. Global parameters results are estimated using spatial error model specifications while more local effects are estimated by geographically weighted regression. Global results are typical in that structural characteristics such as floor space and contextual characteristics such as level of in-migration are important in residential prices. Local results, however, indicate significant spatial variation in the effect of both structural amenities and locational context on housing prices. In a simpler specification, rents are shown to respond positively to both median house prices levels and the supply of apartments available at market prices, but also with significant spatial variation across China.
Keywords: Housing market, China, Hedonic model, Geographically weighted regression, Spatial regression
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