Do high-speed railways lead to urban economic growth in China? A panel data study of China's cities

被引:52
|
作者
Li, Hongchang [2 ]
Strauss, Jack [1 ]
Hu Shunxiang [2 ]
Lui, Lu [2 ]
机构
[1] Univ Denver, Reiman Sch Finance, Appl Econ, Denver, CO 80208 USA
[2] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China
来源
QUARTERLY REVIEW OF ECONOMICS AND FINANCE | 2018年 / 69卷
关键词
China infrastructure; High-speed railroads; Granger causality; TRANSPORT INFRASTRUCTURE; DYNAMIC-MODELS; IMPACTS; ACCESSIBILITY; AGGLOMERATION; SAMPLE; TESTS; LINKS;
D O I
10.1016/j.qref.2018.04.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
The paper investigates the impact of high-speed railroads (HSR) on the economic activity of 200 Chinese cities using a new dataset from 2007 to 2014. We construct a measure of a city's accessibility, which is measured by weighted travel time, and then apply panel Granger Causality methods to determine whether an increase in accessibility contributes to future economic growth in China. Or does causality run the opposite way - does rising economic growth boost HSR? Results document that boosts inaccessibility lead to significant and relatively large increases in city-level economic growth; further, out-of-sample methods document the importance of increases in HSR in forecasting city-level GDP growth. We also compare the benefits to the costs, and find that benefits of HSR in terms of boosting Chinese GDP substantially out-weigh HSR's large fixed costs, depreciation and subsidies. (C) 2018 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:70 / 89
页数:20
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