The Investigation of Housing Price in Yangtze-River Delta Region

Yijie Chen; Youlin Huang

doi:10.1007/978-981-33-6141-6_29

The Investigation of Housing Price in Yangtze-River Delta Region

Yijie Chen^*
, Youlin Huang

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

The fluctuation of house price in a region is affected by the local government debt and local land rent, which produces the spillover effect of house price. In this paper, three provincial cities in Jiangsu, Zhejiang, and Shanghai are taken as the representatives, and the data from 2009 to 2019 is taken as the samples, and the spatial distribution pattern and evolution trend of housing prices in Jiangsu, Zhejiang, and Shanghai are analyzed by using exploratory spatial data analysis (ESDA). After that, we use the SAR, SEM, and SDM model to analyze the influencing factors of housing price change in Jiangsu, Zhejiang, and Shanghai, and study the spillover effect of housing price according to the geographical factors and economic factors. Finally, it analyzes the spillover effect and the difference and comparison of influence of local government debt, local land rent on housing prices. Furthermore, we could predict whether other real estate types, such as commercial and residential house, will have the same situation.

Original language	English
Title of host publication	Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020
Editors	Victor Chang, Muthu Ramachandran, Víctor Méndez Muñoz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	271-275
Number of pages	5
ISBN (Print)	9789813361409
DOIs	https://doi.org/10.1007/978-981-33-6141-6_29
Publication status	Published - 2021
Externally published	Yes
Event	1st International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2020 - Virtual, Online Duration: 15 Sept 2020 → 17 Sept 2020

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	218
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	1st International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2020
City	Virtual, Online
Period	15/09/20 → 17/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

China
Housing price
Spillover

Access to Document

10.1007/978-981-33-6141-6_29

Cite this

Chen, Y., & Huang, Y. (2021). The Investigation of Housing Price in Yangtze-River Delta Region. In V. Chang, M. Ramachandran, & V. Méndez Muñoz (Eds.), Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020 (pp. 271-275). (Smart Innovation, Systems and Technologies; Vol. 218). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-33-6141-6_29

@inproceedings{9b100ae8dc3348e3becf5e0b0622734a,

title = "The Investigation of Housing Price in Yangtze-River Delta Region",

abstract = "The fluctuation of house price in a region is affected by the local government debt and local land rent, which produces the spillover effect of house price. In this paper, three provincial cities in Jiangsu, Zhejiang, and Shanghai are taken as the representatives, and the data from 2009 to 2019 is taken as the samples, and the spatial distribution pattern and evolution trend of housing prices in Jiangsu, Zhejiang, and Shanghai are analyzed by using exploratory spatial data analysis (ESDA). After that, we use the SAR, SEM, and SDM model to analyze the influencing factors of housing price change in Jiangsu, Zhejiang, and Shanghai, and study the spillover effect of housing price according to the geographical factors and economic factors. Finally, it analyzes the spillover effect and the difference and comparison of influence of local government debt, local land rent on housing prices. Furthermore, we could predict whether other real estate types, such as commercial and residential house, will have the same situation.",

keywords = "China, Housing price, Spillover",

author = "Yijie Chen and Youlin Huang",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 1st International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2020 ; Conference date: 15-09-2020 Through 17-09-2020",

year = "2021",

doi = "10.1007/978-981-33-6141-6\_29",

language = "English",

isbn = "9789813361409",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "271--275",

editor = "Victor Chang and Muthu Ramachandran and \{M{\'e}ndez Mu{\~n}oz\}, V{\'i}ctor",

booktitle = "Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020",

}

Chen, Y & Huang, Y 2021, The Investigation of Housing Price in Yangtze-River Delta Region. in V Chang, M Ramachandran & V Méndez Muñoz (eds), Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020. Smart Innovation, Systems and Technologies, vol. 218, Springer Science and Business Media Deutschland GmbH, pp. 271-275, 1st International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2020, Virtual, Online, 15/09/20. https://doi.org/10.1007/978-981-33-6141-6_29

The Investigation of Housing Price in Yangtze-River Delta Region. / Chen, Yijie; Huang, Youlin.
Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020. ed. / Victor Chang; Muthu Ramachandran; Víctor Méndez Muñoz. Springer Science and Business Media Deutschland GmbH, 2021. p. 271-275 (Smart Innovation, Systems and Technologies; Vol. 218).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - The Investigation of Housing Price in Yangtze-River Delta Region

AU - Chen, Yijie

AU - Huang, Youlin

PY - 2021

Y1 - 2021

N2 - The fluctuation of house price in a region is affected by the local government debt and local land rent, which produces the spillover effect of house price. In this paper, three provincial cities in Jiangsu, Zhejiang, and Shanghai are taken as the representatives, and the data from 2009 to 2019 is taken as the samples, and the spatial distribution pattern and evolution trend of housing prices in Jiangsu, Zhejiang, and Shanghai are analyzed by using exploratory spatial data analysis (ESDA). After that, we use the SAR, SEM, and SDM model to analyze the influencing factors of housing price change in Jiangsu, Zhejiang, and Shanghai, and study the spillover effect of housing price according to the geographical factors and economic factors. Finally, it analyzes the spillover effect and the difference and comparison of influence of local government debt, local land rent on housing prices. Furthermore, we could predict whether other real estate types, such as commercial and residential house, will have the same situation.

AB - The fluctuation of house price in a region is affected by the local government debt and local land rent, which produces the spillover effect of house price. In this paper, three provincial cities in Jiangsu, Zhejiang, and Shanghai are taken as the representatives, and the data from 2009 to 2019 is taken as the samples, and the spatial distribution pattern and evolution trend of housing prices in Jiangsu, Zhejiang, and Shanghai are analyzed by using exploratory spatial data analysis (ESDA). After that, we use the SAR, SEM, and SDM model to analyze the influencing factors of housing price change in Jiangsu, Zhejiang, and Shanghai, and study the spillover effect of housing price according to the geographical factors and economic factors. Finally, it analyzes the spillover effect and the difference and comparison of influence of local government debt, local land rent on housing prices. Furthermore, we could predict whether other real estate types, such as commercial and residential house, will have the same situation.

KW - China

KW - Housing price

KW - Spillover

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SN - 9789813361409

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2020

Y2 - 15 September 2020 through 17 September 2020

ER -

Chen Y, Huang Y. The Investigation of Housing Price in Yangtze-River Delta Region. In Chang V, Ramachandran M, Méndez Muñoz V, editors, Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 271-275. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-33-6141-6_29

The Investigation of Housing Price in Yangtze-River Delta Region

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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