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ID:
082898
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| Publication |
2008.
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| Summary/Abstract |
It is widely recognized that location is the primary determining factor of housing price. But to what extent the variation of housing price in Shanghai can be explained by the locational factor has not been empirically examined. In this paper, we examine the power of applying the hedonic method to the spatial-statistical analysis of housing prices in Shanghai. The data we use covers all new commercial residential housings sold in Shanghai during July 2004 and June 2006. The main focus in this paper is to examine the effect of geographical distance to city centre on the selling price of residential housings in Shanghai. We also discuss how the price gradient varies at different directions in Shanghai. Finally, we demonstrate the importance of applying quality control on the development of a housing price index. The statistical methodology and empirical results obtained in this paper carry interesting implications for other cities in China as well.
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| 2 |
ID:
192803
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| Summary/Abstract |
On the market where prospective renters meet dwelling offers, competitive forces and rational behavior on both sides would imply that the monthly basic rent should reflect differences in expected monthly heating costs – other things being equal. We test this hypothesis by specifying a hedonic price model reflecting a total-cost-of-renting perspective. Drawing on 844,229 apartment listings for rent from 2014 to 2020 on a small spatial scale, we find a premium for more energy-efficient apartments; however, it is rather small. If the energy performance score decreases by 10 kWh/m2a, the monthly basic rent increases, on average, by roughly €0.01 per square meter living area. The expected energy cost savings thereby exceed the premium by a factor of three to seven. Rather, we find discounts of up to 9.2 % if apartments use heating technologies that are known to be inefficient. We explore various explanations for these outcomes, considering both landlord and renter behavior.
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