The Impact of High-Speed Rail on Economic Development: A County-Level Analysis

被引:12
作者
Chi, Fangting [1 ]
Han, Haoying [1 ,2 ]
机构
[1] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ, Ctr Balance Architecture, Hangzhou 310058, Peoples R China
关键词
high-speed rail; county territory; PSM-DID; industry; secondary labor force; AGGLOMERATION; CITIES; TRANSPORTATION; INTEGRATION; MOBILITY; HSR; ACCESSIBILITY; URBANIZATION; CONSTRUCTION; SHINKANSEN;
D O I
10.3390/land12040874
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High-speed rail has an important impact on the location choices of enterprises and the labor force, which is reflected in a complex space-time process. Previous studies have been unable to show the change characteristics between enterprises and the labor force at the county level. Therefore, based on the new economic geography theory, we first constructed a theoretical analysis framework to explore high-speed railway's impact on county economy development and then obtained the two economic subdivision factors' impacts: industrial enterprises and secondary labor force. Then, based on the panel data of 1791 county units in China from 2003 to 2019, the study constructed a multi-period PSM-DID model to empirically explore high-speed rail's impact on the county's agglomeration of industrial enterprises and secondary labor force. The results show that high-speed rail has a long-term negative effect on the county area's agglomeration of industrial enterprises. From the perspective of the labor force, high-speed rail has a long-term and continuous positive effect on the agglomeration of the secondary labor force in county units.
引用
收藏
页数:22
相关论文
共 59 条
[1]   From periphery to core: measuring agglomeration effects using high-speed rail [J].
Ahlfeldt, Gabriel M. ;
Feddersen, Arne .
JOURNAL OF ECONOMIC GEOGRAPHY, 2018, 18 (02) :355-390
[2]   The regional and urban effects of high-speed trains [J].
Blum, U ;
Haynes, KE ;
Karlsson, C .
ANNALS OF REGIONAL SCIENCE, 1997, 31 (01) :1-20
[3]   Difference-in-Differences with multiple time periods [J].
Callaway, Brantly ;
Sant'Anna, Pedro H. C. .
JOURNAL OF ECONOMETRICS, 2021, 225 (02) :200-230
[4]   The impacts of high-speed trains on British economic geography: a study of the UK's InterCity 125/225 and its effects [J].
Chen, Chia-Lin ;
Hall, Peter .
JOURNAL OF TRANSPORT GEOGRAPHY, 2011, 19 (04) :689-704
[5]   On the fast track: Information acquisition costs and information production [J].
Chen, Deqiu ;
Ma, Yujing ;
Martin, Xiumin ;
Michaely, Roni .
JOURNAL OF FINANCIAL ECONOMICS, 2022, 143 (02) :794-823
[6]  
Clarke D., 2021, STAT SOFTW COMPON
[7]   Shrinking cities in growing China: Did high speed rail further aggravate urban shrinkage? [J].
Deng, Taotao ;
Wang, Dandan ;
Yang, Yang ;
Yang, Huan .
CITIES, 2019, 86 :210-219
[8]   Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China [J].
Diao, Mi .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 113 :279-290
[9]   Railroads of the Raj: Estimating the Impact of Transportation Infrastructure [J].
Donaldson, Dave .
AMERICAN ECONOMIC REVIEW, 2018, 108 (4-5) :899-934
[10]   The role of transportation speed in facilitating high skilled teamwork across cities [J].
Dong, Xiaofang ;
Zheng, Siqi ;
Kahn, Matthew E. .
JOURNAL OF URBAN ECONOMICS, 2020, 115