TY - GEN
T1 - The Investigation of Housing Price in Yangtze-River Delta Region
AU - Chen, Yijie
AU - Huang, Youlin
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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
UR - http://www.scopus.com/inward/record.url?scp=85107351944&partnerID=8YFLogxK
U2 - 10.1007/978-981-33-6141-6_29
DO - 10.1007/978-981-33-6141-6_29
M3 - Conference Proceeding
AN - SCOPUS:85107351944
SN - 9789813361409
T3 - Smart Innovation, Systems and Technologies
SP - 271
EP - 275
BT - Modern Industrial IoT, Big Data and Supply Chain - Proceedings of the IIoTBDSC 2020
A2 - Chang, Victor
A2 - Ramachandran, Muthu
A2 - Méndez Muñoz, Víctor
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 -
