Highlights Examining the impact of HSRon housing prices in Chinese cities. The Social Network Analysis approach is employed to measure the accessibility. Considering the asymmetric effects among different regions and property types. Providing evidence for a causal effect of HSR on housing prices.
Abstract Applying the social network analysis (SNA) approach, this paper investigates the impact of high-speed rail (HSR) on urban housing prices from the perspective of network accessibility. Based on a sample of 285 cities in China over 2009–2017, we find a positive effect of HSR network accessibility on urban housing prices. An increase in HSR network accessibility (i.e., degree point or closeness centrality) by one standard deviation causes about a 10.3% increase in average housing prices. Evidence also suggests that this effect varies across regions and housing types. Our results are robust to different model specifications and alternative measures of HSR accessibility. The findings offer insights into the space–time economic laws with important policy implications regarding spatial disparities and regional economic convergence in China.
The impact of high-speed railway on urban housing prices in China: A network accessibility perspective
Transportation Research Part A: Policy and Practice ; 152 ; 84-99
2021-08-09
16 pages
Article (Journal)
Electronic Resource
English
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