EconPapers    
Economics at your fingertips  
 

How China's high-speed rail promote local economy: New evidence from county-level panel data

Yao Wang and Weijia Dong

International Review of Economics & Finance, 2022, vol. 80, issue C, 67-81

Abstract: This study uses Chinese county-level panel data to determine the effect of high-speed rail (HSR) connection on local economic growth. We find that HSR connection promotes economic growth, and this effect becomes increasingly obvious over the HSR operation time. Besides, HSR connection may affect the relationship between local and neighboring areas. When local and neighboring areas are HSR-connected, a cooperative relationship occurs at the average level of industry structures. When local areas are HSR-unconnected but neighboring areas are HSR-connected, a certain degree of spillover effect occurs rather than a siphon effect. Moreover, the increase of HSR connectivity not only optimizes the allocation of production factors within urban agglomerations but also generally promotes convergence of regional economies.

Keywords: High-speed rail; Economic growth; Urban agglomeration (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056022000612
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:80:y:2022:i:c:p:67-81

DOI: 10.1016/j.iref.2022.02.040

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:reveco:v:80:y:2022:i:c:p:67-81