Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/223425
Title: HOUSING MARKETS IN THE ERA OF HIGH-SPEED: THE SPATIAL DYNAMICS THROUGH SEMI-PARAMETRIC GWR
Authors: WANG PENG
Keywords: Real Estate
2017/2018 RE
China
Geographically Weighted Regression
RE
Liao Wen Chi
Spatial dynamics
Housing markets
High-Speed Rail
Semi-Parametric Geographically Weighted Regression
Issue Date: 2-May-2018
Citation: WANG PENG (2018-05-02). HOUSING MARKETS IN THE ERA OF HIGH-SPEED: THE SPATIAL DYNAMICS THROUGH SEMI-PARAMETRIC GWR. ScholarBank@NUS Repository.
Abstract: This research explores the effects of the development of China’s Beijing-Shanghai High-Speed Rail (BS HSR) on the spatial dynamics of housing markets from a helicopter view. The two objectives of this study are mainly – to model the relationship between the BS HSR and housing price dynamics of the 190 counties within the provinces it passes through using accessibility as an indicator; to evaluate the extent of housing markets integration by testing the direction and strengthen of spatial autocorrelation. The Geographic Information System (GIS) skills are used extensively to seek spatial patterns and changing dynamics across a 7-year study period from 2009 to 2016. Semi-Parametric Geographically Weighted Regression (SP-GWR) model is put forward in this study to incorporate both spatial autocorrelation and spatial non-stationarity. Based on eight SP-GWR models with different sets of global and local variables formulated for each year, it is established that although the BS HSR has significant effects on the region’s housing price growth, the effects in terms of direction, magnitude and significance vary significantly across localities. This study also finds evidence for the sub-regional markets integration within the Jingjinji metropolitan area in China. Future research could establish the evidence of overall regional market integration and use it as a coherent comparison with the findings of this study. This research highlights the role played by HSR within the regional housing market context and the findings may aid urban planners and transport policy makers in their strategic planning and sustainable development decisions.
URI: https://scholarbank.nus.edu.sg/handle/10635/223425
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