Proceedings of the 2019 International Conference on Education Science and Economic Development (ICESED 2019)

Study on the Influence of Central Business District on House Market Price: a Case Study of Nanchang City, China

Authors
Junsong Jia, Yueyue Rong, Zhongyu Gu, Dongming Xie
Corresponding Author
Junsong Jia
Available Online January 2020.
DOI
https://doi.org/10.2991/icesed-19.2020.28How to use a DOI?
Keywords
Central Business District, House Market Price, Influence, Nanchang.
Abstract
It is significant to make clear the influence of the city’s central business district (CBD) on the surrounding house market price (HMP), which is reflected by the following indicators: rental and purchase price. Thus, taking Nanchang of China as a case, we choose two CBDs (Bayi Square and Honggutan) to further study this issue in this paper by using the linear regression model. The results showed: with the growth of the distance between the studied community and the CBD, the community’s HMP appeared a diminishing trend. Particularly, for Bayi Square, 1 km growth of the distance between the community and the CBD, indicated that the rental and purchase prices of the community’s house decreased by 167 RMB and 430 RMB/m2, respectively. Similarly, for Honggutan, 1 km distance’s growth indicated that the prices decreased by 150 RMB and 717 RMB/m2. Finally, some suggestions were proposed to help people have a happy life, such as purchasing the house.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Junsong Jia
AU  - Yueyue Rong
AU  - Zhongyu Gu
AU  - Dongming Xie
PY  - 2020/01
DA  - 2020/01
TI  - Study on the Influence of Central Business District on House Market Price: a Case Study of Nanchang City, China
BT  - Proceedings of the 2019 International Conference on Education Science and Economic Development (ICESED 2019)
PB  - Atlantis Press
SP  - 351
EP  - 355
SN  - 2352-5428
UR  - https://doi.org/10.2991/icesed-19.2020.28
DO  - https://doi.org/10.2991/icesed-19.2020.28
ID  - Jia2020/01
ER  -