Analysing the demand factors affecting housing price index in China

House prices in China has experienced significant price soaring over the past few year especially in large cities such as Shanghai and Beijing. This is a worrying trend for buyers and investors in China. This research attempts to identify factors that influence on China’s house prices index, from y...

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Main Author:	Rui, Lan
Format:	Thesis
Language:	eng eng
Published:	2015
Subjects:	HG Finance
Online Access:	https://etd.uum.edu.my/5137/1/s815886.pdf https://etd.uum.edu.my/5137/2/s815886_abstract.pdf
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id	my-uum-etd.5137
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Zainuddin, Zaemah
topic	HG Finance
spellingShingle	HG Finance Rui, Lan Analysing the demand factors affecting housing price index in China
description	House prices in China has experienced significant price soaring over the past few year especially in large cities such as Shanghai and Beijing. This is a worrying trend for buyers and investors in China. This research attempts to identify factors that influence on China’s house prices index, from year 2010 until year 2014. The study used six independent variables which comprise of inflation rates, GDP growth rates, interest rates, mortgage rate, and money supply of M1 and RMB exchange rate. Various methods had employed for this study comprising the monthly secondary data which range from year 2010 until year 2014. The models are categorized into three categories like Common Macroeconomics Model, Enhanced Macroeconomics Model and Combine Macroeconomics Model. All of these models are analyzed by using technique of Descriptive Analysis, technique of Pearson Correlation and technique of Multiple Regression Analysis. This is used to explore the relationships and the impact of the independent variables towards the dependent variables. Empirical result shows that only interest rate, mortgage rate, money supply of M1 and RMB exchange rate are having influences on China’s Housing Price Index. Empirical result also shows that money supply of M1 is having the greatest impact on China’s Housing Price Index, followed by RMB exchange rate, mortgage rate and lastly interest rate. This research has proven that China’s Housing Price Index indeed influencing by various Macroeconomics Variables
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Rui, Lan
author_facet	Rui, Lan
author_sort	Rui, Lan
title	Analysing the demand factors affecting housing price index in China
title_short	Analysing the demand factors affecting housing price index in China
title_full	Analysing the demand factors affecting housing price index in China
title_fullStr	Analysing the demand factors affecting housing price index in China
title_full_unstemmed	Analysing the demand factors affecting housing price index in China
title_sort	analysing the demand factors affecting housing price index in china
granting_institution	Universiti Utara Malaysia
granting_department	Othman Yeop Abdullah Graduate School of Business
publishDate	2015
url	https://etd.uum.edu.my/5137/1/s815886.pdf https://etd.uum.edu.my/5137/2/s815886_abstract.pdf
_version_	1747827868882173952
spelling	my-uum-etd.51372021-04-05T01:04:33Z Analysing the demand factors affecting housing price index in China 2015 Rui, Lan Zainuddin, Zaemah Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business HG Finance House prices in China has experienced significant price soaring over the past few year especially in large cities such as Shanghai and Beijing. This is a worrying trend for buyers and investors in China. This research attempts to identify factors that influence on China’s house prices index, from year 2010 until year 2014. The study used six independent variables which comprise of inflation rates, GDP growth rates, interest rates, mortgage rate, and money supply of M1 and RMB exchange rate. Various methods had employed for this study comprising the monthly secondary data which range from year 2010 until year 2014. The models are categorized into three categories like Common Macroeconomics Model, Enhanced Macroeconomics Model and Combine Macroeconomics Model. All of these models are analyzed by using technique of Descriptive Analysis, technique of Pearson Correlation and technique of Multiple Regression Analysis. This is used to explore the relationships and the impact of the independent variables towards the dependent variables. Empirical result shows that only interest rate, mortgage rate, money supply of M1 and RMB exchange rate are having influences on China’s Housing Price Index. Empirical result also shows that money supply of M1 is having the greatest impact on China’s Housing Price Index, followed by RMB exchange rate, mortgage rate and lastly interest rate. This research has proven that China’s Housing Price Index indeed influencing by various Macroeconomics Variables 2015 Thesis https://etd.uum.edu.my/5137/ https://etd.uum.edu.my/5137/1/s815886.pdf text eng public https://etd.uum.edu.my/5137/2/s815886_abstract.pdf text eng public masters masters Universiti Utara Malaysia Adam, T. (2010). Are house prices rising too fast in China? IMF Working Paper, 2010 (274). AiJian. (2007). China’s Land Market Auctions: Evidence of Corruption. NBER Working Paper, pp. 15-67. Arrau. (1995). Chinese Property: A Lofty Ceiling. Retrieved from http://www.ft.com/intl/ cms/s/0/6b521d4e-2196-11e1-a1d8-00144feabdc0. html. Altman. (1968). A regression method for real estate price index construction. Journal of the American Statistical Association, 58(304), pp. 933–942. Asiah,J. (1999). Land-use rights in mainland China: Problems and recommendations for Improvement. Journal of Real Estate Literature, 7(1), pp. 53-63. Andrew,R. (2011). 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Analysing the demand factors affecting housing price index in China

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