An Empirical Analysis of the Impact of Subway on Housing Price-Take Hangzhou as an Example

Authors

  • Zhuo Gong Nanjing Normal University

Keywords:

housing price, subway;, Hedonic model

Abstract

Housing price in medium and large cities in China has been rising for a long time and still remains at a high level. This paper studies the phenomenon and takes Hangzhou No.1 Subway as an example. By using Hedonic model, this paper analyzes factors affecting the housing price such as age of house, traffic, area, etc. Through empirical analysis, we draw conclusion that among these factors,
transportation is the most important factor affecting the housing price. Therefore, the improvement of traffic such as subway can ease the housing pressure within urban areas and can also improve the housing price outside the urban effectively.

Downloads

Download data is not yet available.

Author Biography

Zhuo Gong, Nanjing Normal University

Nanjing Normal University, Nanjing, 210023, China

References

Yan Se. (2013). House slaves effect or wealth effect? A theoretical analysis of the impact of rising housing prices on national consumption. Management World, (3): 34-47.

Shao Ting. (2012). Experience and Enlightenment of Germany's housing prices risingmaintaining at a low level for a long time. China Economic Times, (1): 1-3.

Zhang Suodi, Zhao Huaping & Libin. (2014). The relationship between real estate price and rent under the effect of macro-control: empirical evidence from thirty-five large and medium scale cities of China. Journal of Applied Statistics and Management, 33 (2): 305-316.

Xu Jianwei, Xu Qiyuan & He Fan. (2012). Population structure factor behind rising house prices: international experience and Chinese evidence. World Economy, (1): 24-42.

Duan Zhongdong. (2014). Threshold measurement of the impact of house price change on residents' consumption - an empirical study based on 35 Large and medium cities in China. Economic Science, (4): 27-38.

Li Yongyou. (2014). Demand driving and ripple effect of housing prices rising: on strategies to deal with the problems of housing price. China Economic Quarterly, 13 (2): 443-464

Zhao Xiliang, Liang Wenquan & Li Shi. (2013). Can growing house prices explain high household saving rates in urban China? An empirical analysis using CHIPs data. China Economic Quarterly, 13 (1): 81- 102

Su Yayi, Zhu Daolin, Zheng Yuzhong, Wang Xing & Chen Geng. (2015). The effects of subways on housing price gradients between urban area and suburb in southwest Beijing. Resources Science, 37 (1): 125-132

Gao Bo, Chen Jian & Zou Linhua. (2012). Housing price regional differences, labor mobility and industrial upgrading. Economic Research Journal, (1): 66-79.

Baifu Zhou. (2009). A research on the factor of the rising of housing price. Hangzhou: Zhejiang University of Technology.

Deng Yi. (2014). Study on the influences of subways on the housing price fluctuations alongsubway lines and the strategy research. Nanchang: Nanchang University.

Pan Yawen. (2010). The housing price model based on the speculative demand and research. Hangzhou: Zhejiang University.

Xue Zhiyong. (2012). Analysis of the impact of macro policies to real estate market base on expectation theory. Beijing: University of Science and Technology of China.

Zhang Jing. (2014). Analysis about the factors which influence the housing price in Suzhou and the prediction. Suzhou: Suzhou University.

Binshuo Liu. (2012). Analysis of the impact of consumer cognition on the property of real estate investment and speculation. Journal of Theoretical Studies, (6): 43-45.

Gao Bo, Wang Wenli & Li Xiang. (2013). Expectation, income inequality and the puzzle of city’s housing price to rent scissors in China. Economic Research Journal, (6): 100-126

Kuang Weida. (2010). Expectation, speculation and urban housing price volatility in China. Economic Research Journal, (9): 67-78.

Liu Xueliang. (2014). Housing supply elasticity, determinant factors and housing price performance of urban China. Finance and Trade Economics, (4): 125-137.

Xie Jieyu, Wu Binzhen, Li Hongshan & Zheng Siqi. (2012). China's urban housing prices and household consumption. Journal of Financial research, (6): 13-27.

Wang De, Huang Wanshu. (2005). Hedonic house pricing and its application in urban studies.City planning review,03: 62-71.

He Jianhua. (2004). Research on the effects of metro line 13 in Beijing on house prices under Hedonic model. Beijing, Tsinghua University

Downloads

Published

2017-06-30

How to Cite

Gong, Z. (2017). An Empirical Analysis of the Impact of Subway on Housing Price-Take Hangzhou as an Example. International Journal For Research In Business, Management And Accounting, 3(6), 01–20. Retrieved from https://gnpublication.org/index.php/bma/article/view/48

Issue

Vol. 3 No. 6 (2017): International Journal For Research In Business, Management And Accounting

Section

Articles

License

Copyright (c) 2017 gnpublication@

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

     All journals related to business, management, and accounting can be freely copied, circulated, and reprinted in Green Publication journals, as long as they are duly referenced by original authors. Green Publication follows CC licenses. “A Creative Commons (CC) license is one of the public copyright licenses that allows for the free reuse of an otherwise copyrighted "work." If an author wants to give others the right to publish, use, and build on a work created by the author, he may use a CC license.  Green publication use the CC 4.0 license. This license allows anyone to write, remix, tweak, and build on your work, even commercially, as long as the original creation is attributed to you”. This is the most appropriate license available. Recommended for increasing the distribution and use of licensed products.