Efficiency benchmarking and its determinants in high-speed railways: Reference for China

Yueqi Zong, Jianhong Wu, Kemei Yu and Xutao Yang

Research in Transportation Economics, 2023, vol. 102, issue C

Abstract: The high-speed railway (HSR) performance has drawn considerable attention from international scholars and policymakers. One heatedly-discussed topic is measuring HSR efficiency and its important determinants, particularly HSR organizational structures. The main contribution of our research is the adoption of the multi-stage Network Data Envelopment Analysis (DEA) and Tobit Model, which provides a rational and coherent method to address this issue.

Keywords: High-speed Railway's efficiency; Multi-stage network DEA model; Key determinants; China high-speed railway; International benchmarking (search for similar items in EconPapers)
JEL-codes: C4 L9 R4 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0739885923000951
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:retrec:v:102:y:2023:i:c:s0739885923000951

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_2&version=01

DOI: 10.1016/j.retrec.2023.101355

Access Statistics for this article

Research in Transportation Economics is currently edited by M. Dresner

More articles in Research in Transportation Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().