中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Effectiveness of high-speed railway on regional economic growth for less developed areas

文献类型:期刊论文

作者Liang, Yutian1,3,4,5; Zhou, Keyang1; Lin, Xun1,4; Zhou, Zhengke1; Sun, Wei2,6; Zeng, Jiaqi1
刊名JOURNAL OF TRANSPORT GEOGRAPHY
出版日期2020
卷号82页码:10
关键词High-speed rail (HSR) Regional economic growth(REG) Less developed areas China
ISSN号0966-6923
DOI10.1016/j.jtrangeo.2019.102621
通讯作者Sun, Wei(sunw@igsnrr.ac.cn)
英文摘要Whether high-speed railway (HSR) can drive regional economic growth (REG) along the route is controversial, and the effectiveness of HSR connecting less developed and developed regions especially need to be further tested. The Guangdong-Guangxi-Guizhou High-Speed Railway (GGGHSR) has connected the most developed eastern region and the less developed western region in China, and it's a typical object to study the impact of HSR on less developed areas. This paper uses NPP-VIIRS remote sensing data from the period 2012-2017 to represent the level of regional economic growth along the route, and uses the PSM-DID method to analyze the impact of HSR in a quantitative way. The results show the following: Firstly, opening of the GGGHSR has led to an increase in light value along the route, but not produced a significant "corridor effect" along the route, with no significant REG in all counties along the route; Secondly, the effectiveness of the GGGHSR have spatial differences along the route, with a greater effect on less developed areas and areas far away from regional center city; Thirdly, the effectiveness of HSR driving less developed areas is mainly through "investment effect" and "industrial structure effect" these two mechanisms. The contribution of this study lies in the use of objective light data to study the relationship between HSR and REG, and select this typical GGGHSR project proving the driving role of HSR in the economic growth of less developed areas.
WOS关键词TRANSPORT INFRASTRUCTURE ; IMPACTS ; ACCESSIBILITY ; CHINA ; NETWORK ; TRANSIT ; VALUES
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040401] ; National Natural Science Foundation of China[41871114] ; National Natural Science Foundation of China[41871117,71961137003] ; National Natural Science Foundation of Guangdong, China[2018A030313293] ; Science and Technology Program of Guangzhou, China[201804010192] ; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)[9914742080011]
WOS研究方向Business & Economics ; Geography ; Transportation
语种英语
WOS记录号WOS:000510953900040
出版者ELSEVIER SCI LTD
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of Guangdong, China ; Science and Technology Program of Guangzhou, China ; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
源URL[http://ir.igsnrr.ac.cn/handle/311030/132439]  
专题中国科学院地理科学与资源研究所
通讯作者Sun, Wei
作者单位1.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
4.Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou 510275, Guangdong, Peoples R China
5.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519080, Peoples R China
6.Univ Chinese Acad Sci, Dept Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Liang, Yutian,Zhou, Keyang,Lin, Xun,et al. Effectiveness of high-speed railway on regional economic growth for less developed areas[J]. JOURNAL OF TRANSPORT GEOGRAPHY,2020,82:10.
APA Liang, Yutian,Zhou, Keyang,Lin, Xun,Zhou, Zhengke,Sun, Wei,&Zeng, Jiaqi.(2020).Effectiveness of high-speed railway on regional economic growth for less developed areas.JOURNAL OF TRANSPORT GEOGRAPHY,82,10.
MLA Liang, Yutian,et al."Effectiveness of high-speed railway on regional economic growth for less developed areas".JOURNAL OF TRANSPORT GEOGRAPHY 82(2020):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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