China’s housing bubbles and the driving factors

碩士 === 國立政治大學 === 地政研究所 === 102 === With the rapid economic development in China, the real estate market has been undergoing a great boom. The low interest and tax rates are very favorable for the continuously increasing house demands, and thus resulting in higher housing prices. And the extremel...

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Bibliographic Details
Main Authors: Huang, Fei, 黃斐
Other Authors: Lin, Tsoyu Calvin
Format: Others
Language:en_US
Online Access:http://ndltd.ncl.edu.tw/handle/59424805349416445608
Description
Summary:碩士 === 國立政治大學 === 地政研究所 === 102 === With the rapid economic development in China, the real estate market has been undergoing a great boom. The low interest and tax rates are very favorable for the continuously increasing house demands, and thus resulting in higher housing prices. And the extremely rapidly increasing housing prices are not reasonable. Until 2010, Chinese government had published a series of national housing regulatory decisions to address the over-heating real estate market. And the restrictions on house purchase have been put into practice in some major cities. Given that China has a vast territory with large variety, the impact of these regulations on the local real estate markets of the cities can hardly be determined. Therefore, we study here the real estate market in Beijing, Shanghai and Guangzhou, three of the most representative major cities in China. This study evaluates the housing bubbles situations in these cities from 2007 to 2012 by comparing fundamental values with market prices. The fundamental value of real estate can be calculated by annual rents and WACC. Based on the evaluated housing bubbles situations, this study then applies Cointegration analysis to further explore the factors that may contribute to China’s housing bubbles. In addition, Granger causality test is employed to examine the lead/lag relationship between housing bubbles and the variables. The empirical result shows that per-capita disposable incomes and total loans of financial institutions are positively related to China’s housing bubbles. And the housing bubbles in these three cities are negatively related to themselves. In addition, the impact of interest rates on housing bubbles is positive and later turns negative with respect to the magnitude of increasing rates. According to the results of Granger causality tests, Beijing’s housing bubbles are Granger caused by total loans while property bubbles in Shanghai lead personal incomes. Furthermore, housing bubbles in Guangzhou are Granger caused by personal disposable incomes, interest rates and total loans.