Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Analysing firm-level impacts of high-speed railways on reducing business costs: Evidence from China

Jin, Nuo 2024. Analysing firm-level impacts of high-speed railways on reducing business costs: Evidence from China. Regional Studies, Regional Science 11 (1) , pp. 22-37. 10.1080/21681376.2024.2305946

[thumbnail of Analysing firm-level impacts of high-speed railways on reducing business costs  evidence from China.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (900kB) | Preview

Abstract

Numerous studies have revealed that high-speed railways (HSRs) can efficiently reduce transportation costs for firms and therefore bring more business capacities to firms in regions with HSR services. This paper aims to adopt the difference-in-difference (DID) and PSM (propensity score matching) DID methods to examine the HSR’s causal effects on business costs. The author finds that business costs are significantly reduced due to the operation of HSR lines. Besides, private firms and firms in the secondary and tertiary sectors would experience more reductions of business costs encouraged by the HSR than state-owned and agricultural firms. The placebo test and parallel trend test have proved the feasibility of this study. Finally, this paper provides policy suggestions that the construction of HSR lines needs to be encouraged in order to promote the higher efficiency of business operations for firms and more-balanced spatial business developments in China.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Taylor and Francis Group
ISSN: 2168-1376
Date of First Compliant Deposit: 21 February 2024
Date of Acceptance: 6 February 2024
Last Modified: 22 Feb 2024 14:30
URI: https://orca.cardiff.ac.uk/id/eprint/166454

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics