The impact of high-speed railway on urban housing prices in China: A network accessibility perspective

被引：29
|
作者：
Liu, Xueli [1 ]
Jiang, Chunxia [2 ]
Wang, Feng [3 ]
Yao, Shujie [3 ]
机构：
[1] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China
[2] Univ Aberdeen, Business Sch, Aberdeen AB24 3QY, Scotland
[3] Chongqing Univ, Inst Energy Econ, Sch Econ & Business Adm, Chongqing 400030, Peoples R China
来源：
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE | 2021年 / 152卷
基金：
中国国家自然科学基金;
关键词：
Network accessibility; High-speed railway; Urban housing price; Social network analysis; YANGTZE-RIVER DELTA; ECONOMIC-GROWTH; TRANSIT; LAND; VALUES; AGGLOMERATION; EQUITY; STATION; ACCESS; CITIES;
D O I：
10.1016/j.tra.2021.08.006
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Applying the social network analysis (SNA) approach, this paper investigates the impact of highspeed 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.
引用
收藏
页码：84 / 99
页数：16
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